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Managing Gestational Diabetes: Let’s Nip It in The Bud
One of the most common complications of pregnancy is gestational diabetes mellitus (GDM). It is defined as glucose intolerance with first onset during pregnancy.1 In 2011, the incidence of GDM in the United States was between 2% and 10% of all pregnancies. Potential complications associated with GDM include macrosomia, pre-eclampsia, preterm birth, increased risk for cesarean section, neonatal hypoglycemia, shoulder dystocia, and polyhydramnios. Women with a history of gestational diabetes have a 35% to 60% likelihood of developing type 2 diabetes over the following 10 to 20 years.2
Q: When should screening for GDM occur?
According to the American Diabetes Association’s (ADA) 2012 Clinical Practice Recommendations, a pregnant woman should be screened for undiagnosed type 2 diabetes at her first prenatal visit if she has certain risk factors.3 These include, but are not limited to, family history of diabetes, overweight/obesity, sedentary lifestyle, elevated blood pressure and/or cholesterol, impaired fasting glucose or impaired glucose tolerance, or certain ethnic backgrounds (eg, Hispanic, Native American, and non-Hispanic black).4 In 2011, the ADA revised its recommendations for GDM screening and diagnosis to be in accordance with those from the International Association of Diabetes and Pregnancy Study Groups (IADPSG), an international consensus group with representatives from multiple obstetric and diabetes organizations, including ADA.
Q: How is GDM diagnosed?
Current recommendations stipulate that women with no previous history of diabetes or prediabetes undergo one-step testing: a 75-g glucose tolerance test (GTT) at 24 to 28 weeks’ gestation.5,6 For women with a prior history of GDM, screening is recommended earlier in the pregnancy. The GTT should be performed after an overnight fast of at least eight hours.3 An elevation of any one of the values above normal reference range is consistent with the diagnosis of GDM. (Previously, the diagnostic criteria required two abnormal values.) Multiple international studies using the new criteria have estimated an increased incidence of gestational diabetes in up to 18% of pregnancies.5,6
Some organizations have not endorsed the IADPSG/ADA diagnostic criteria at this time; as a result, many practitioners continue to use two-step testing for diagnosing GDM. To do the two-step testing, a 50-g glucose load is given, followed by a blood glucose reading one hour later. If the one-hour reading is within normal range, no further testing is warranted and the patient does not have gestational diabetes. If the test is abnormal, she must undergo a fasting three-hour GTT using a 100-g glucose load.
Q: What advice should a woman get once she’s diagnosed with GDM?
As soon as a woman is diagnosed with GDM, she should be referred for a gestational diabetes education class and nutrition counseling. Specifically, she should learn what it means for her to have GDM, implications for her and her baby, and the importance of eating a healthy diet (not the proverbial concept of “eating for two”), physical activity, self-monitoring blood glucose, and adherence to any prescribed medications.
Probably the most important aspect of education is nutrition counseling. It is known that smaller meals consumed more frequently throughout the day reduce spikes in blood glucose levels. One suggestion is to eat three small meals and three low-carbohydrate (15 g) snacks each day. Meals and snacks are generally established based on fixed carbohydrate amounts. A certified diabetes educator or registered dietitian (RD) can recommend healthy meal and snack ideas that are tasty, promote satiety, and minimize spikes in glucose levels.
Q: What are the current treatment options for GDM?
During the process of receiving GDM education, the patient should be prescribed a glucometer, along with specific glucose targets. Blood glucose should be checked multiple times a day, preferably fasting and postprandial measurements. Medical practices vary in their preferred glucose targets; some individuals require tighter control than others. The ADA suggests the following targets:
• Before a meal (preprandial):
95 mg/dL or less.
• One hour after a meal (postprandial): 140 mg/dL or less.
• Two hours after a meal (postprandial): 120 mg/dL or less. 7
If blood glucose levels remain within normal range, it is possible to control gestational diabetes with dietary modification and physical activity. If readings are consistently elevated, then the patient must be started on medication. There are currently no FDA-approved oral medications to treat gestational diabetes. Glyburide is commonly used, although it is not FDA approved for this indication. More studies to establish its safety are likely needed for FDA approval.8
If pharmaceutical treatment is warranted, insulin is the safest and most effective agent. It is the only medication that is FDA approved for treatment of GDM. Levemir (insulin detemir [rDNA origin] injection) gained FDA approval for use in pregnancy in 2012, so it has become more widespread than NPH for basal insulin usage.9
Although it is usually managed by an endocrinologist or perinatologist, an experienced obstetrician could also manage GDM. Often, the patient is referred to an endocrinologist. The endocrine provider, along with the diabetes educator and RD, focus on nutrition counseling and diabetes management so the obstetrician can focus on maternal and fetal health.
Q: What is the recommended follow-up?
Since embryonic and fetal development occurs at such a rapid rate, time is of the essence for getting a patient’s blood glucose to goal. While treating diabetes in general can be challenging, this is usually not the case with GDM. Most women with GDM are motivated to take care of themselves for the well-being of their developing baby. The influence of a baby developing inside a mother is so strong that diabetic women who become pregnant often take better care of themselves than they do when they are not pregnant.
The patient’s daily responsibilities should include eating a healthy and diet checking her blood glucose levels throughout the day. These readings must be recorded. Clinic visits should occur often, with emailing of glucose readings between visits as needed. The frequency of visits varies among practices, depending on the patient’s level of glucose control and intensity of the treatment regimen.
Q: Why is postpartum testing important?
After delivery, most cases of GDM usually resolve. However, approximately 5% to 10% of women with gestational diabetes are found to have diabetes immediately after pregnancy.2 To evaluate for persistent diabetes, a two-hour GTT should be done at six weeks’ postpartum. Although an A1C can now be used to diagnose diabetes, the ADA does not recommend checking it for this purpose.3
If the two-hour GTT result is normal, a woman should be screened for diabetes every three years for the rest of her life.3 If a diagnosis of impaired fasting glucose or impaired glucose tolerance is made, then she should be tested for diabetes on an annual basis or in the interim if she develops classic symptoms of hyperglycemia.3 If diabetes is diagnosed, she should be treated accordingly as a type 2 diabetic patient.
At this time, the patient should be counseled on lifestyle interventions and consider starting metformin therapy if appropriate. Diabetes education classes are available for prediabetes. To maintain good health and prevent/delay onset of type 2 diabetes, here are some tips to follow:
• The same diet as during pregnancy does not have to be followed, although healthy eating habits are always a good idea.
• Physical activity (approximately 30 min five times a week) will help shed weight gained during pregnancy.
• Breastfeeding promotes weight loss.10
• Patients should aim for weight loss of 7% of body weight.3
• Continue annual physical exams, keeping an eye on blood pressure, weight, and cholesterol levels.
It’s reasonable for the patient to check glucose levels occasionally after delivery. If elevated readings occur, the patient can make an appointment with her primary care provider or endocrinologist.
References
1. American Association for Clinical Chemistry. A New Definition of Gestational Diabetes. www.aacc.org/publications/cln/2010/may/Pages/CoverStory2May2010.aspx. Accessed June 30, 2013.
2. National Diabetes Statistics, 2011. www.diabetes.niddk.nih.gov/dm/pubs/statistics/#Gestational. Accessed July 22, 2013.
3. American Diabetes Association. 2012 Clinical Practice Recommendations. Diabetes Care. 2012;35(suppl 1). http://professional.diabetes.org/SlideLibrary/media/4839/ADA%20Standards%20of%20Medical%20Care%202012%20FINAL.ppt. Accessed June 24, 2013.
4. American Diabetes Association. Diabetes basics: your risk. www.diabetes.org/diabetes-basics/prevention/risk-factors. Accessed August 13, 2013.
5. American Diabetes Association. Diabetes Basics: What is Gestational Diabetes? www.diabetes.org/diabetes-basics/gestational/what-is-gestational-diabetes.html. Accessed August 13, 2013.
6. Johnson K. New criteria for gestational diabetes increase diagnoses (December 5, 2011). www.medscape.com/viewarticle/754733. Accessed August 13, 2013.
7. American Diabetes Association. Diabetes basics: how to treat gestational diabetes. www.diabetes.org/diabetes-basics/gestational/how-to-treat-gestational.html. Accessed August 13, 2013.
8. Moore TR. Glyburide for the treatment of gestational diabetes: a critical appraisal. Diabetes Care. 2007;30(suppl 2). http://care.diabetesjournals.org/content/30/Supplement_2/S209.full. Accessed August 13, 2013.
9. Lowes R. Levemir assigned more reassuring pregnancy risk category (April 2, 2012). www.medscape.com/viewarticle/761349. Accessed August 13, 2013.
10. Buchanan TA, Xiang AH, Page KA. Gestational diabetes mellitus: risks and management during and after pregnancy. Nat Rev Endocrinol. 2012;8(11):639-649.
One of the most common complications of pregnancy is gestational diabetes mellitus (GDM). It is defined as glucose intolerance with first onset during pregnancy.1 In 2011, the incidence of GDM in the United States was between 2% and 10% of all pregnancies. Potential complications associated with GDM include macrosomia, pre-eclampsia, preterm birth, increased risk for cesarean section, neonatal hypoglycemia, shoulder dystocia, and polyhydramnios. Women with a history of gestational diabetes have a 35% to 60% likelihood of developing type 2 diabetes over the following 10 to 20 years.2
Q: When should screening for GDM occur?
According to the American Diabetes Association’s (ADA) 2012 Clinical Practice Recommendations, a pregnant woman should be screened for undiagnosed type 2 diabetes at her first prenatal visit if she has certain risk factors.3 These include, but are not limited to, family history of diabetes, overweight/obesity, sedentary lifestyle, elevated blood pressure and/or cholesterol, impaired fasting glucose or impaired glucose tolerance, or certain ethnic backgrounds (eg, Hispanic, Native American, and non-Hispanic black).4 In 2011, the ADA revised its recommendations for GDM screening and diagnosis to be in accordance with those from the International Association of Diabetes and Pregnancy Study Groups (IADPSG), an international consensus group with representatives from multiple obstetric and diabetes organizations, including ADA.
Q: How is GDM diagnosed?
Current recommendations stipulate that women with no previous history of diabetes or prediabetes undergo one-step testing: a 75-g glucose tolerance test (GTT) at 24 to 28 weeks’ gestation.5,6 For women with a prior history of GDM, screening is recommended earlier in the pregnancy. The GTT should be performed after an overnight fast of at least eight hours.3 An elevation of any one of the values above normal reference range is consistent with the diagnosis of GDM. (Previously, the diagnostic criteria required two abnormal values.) Multiple international studies using the new criteria have estimated an increased incidence of gestational diabetes in up to 18% of pregnancies.5,6
Some organizations have not endorsed the IADPSG/ADA diagnostic criteria at this time; as a result, many practitioners continue to use two-step testing for diagnosing GDM. To do the two-step testing, a 50-g glucose load is given, followed by a blood glucose reading one hour later. If the one-hour reading is within normal range, no further testing is warranted and the patient does not have gestational diabetes. If the test is abnormal, she must undergo a fasting three-hour GTT using a 100-g glucose load.
Q: What advice should a woman get once she’s diagnosed with GDM?
As soon as a woman is diagnosed with GDM, she should be referred for a gestational diabetes education class and nutrition counseling. Specifically, she should learn what it means for her to have GDM, implications for her and her baby, and the importance of eating a healthy diet (not the proverbial concept of “eating for two”), physical activity, self-monitoring blood glucose, and adherence to any prescribed medications.
Probably the most important aspect of education is nutrition counseling. It is known that smaller meals consumed more frequently throughout the day reduce spikes in blood glucose levels. One suggestion is to eat three small meals and three low-carbohydrate (15 g) snacks each day. Meals and snacks are generally established based on fixed carbohydrate amounts. A certified diabetes educator or registered dietitian (RD) can recommend healthy meal and snack ideas that are tasty, promote satiety, and minimize spikes in glucose levels.
Q: What are the current treatment options for GDM?
During the process of receiving GDM education, the patient should be prescribed a glucometer, along with specific glucose targets. Blood glucose should be checked multiple times a day, preferably fasting and postprandial measurements. Medical practices vary in their preferred glucose targets; some individuals require tighter control than others. The ADA suggests the following targets:
• Before a meal (preprandial):
95 mg/dL or less.
• One hour after a meal (postprandial): 140 mg/dL or less.
• Two hours after a meal (postprandial): 120 mg/dL or less. 7
If blood glucose levels remain within normal range, it is possible to control gestational diabetes with dietary modification and physical activity. If readings are consistently elevated, then the patient must be started on medication. There are currently no FDA-approved oral medications to treat gestational diabetes. Glyburide is commonly used, although it is not FDA approved for this indication. More studies to establish its safety are likely needed for FDA approval.8
If pharmaceutical treatment is warranted, insulin is the safest and most effective agent. It is the only medication that is FDA approved for treatment of GDM. Levemir (insulin detemir [rDNA origin] injection) gained FDA approval for use in pregnancy in 2012, so it has become more widespread than NPH for basal insulin usage.9
Although it is usually managed by an endocrinologist or perinatologist, an experienced obstetrician could also manage GDM. Often, the patient is referred to an endocrinologist. The endocrine provider, along with the diabetes educator and RD, focus on nutrition counseling and diabetes management so the obstetrician can focus on maternal and fetal health.
Q: What is the recommended follow-up?
Since embryonic and fetal development occurs at such a rapid rate, time is of the essence for getting a patient’s blood glucose to goal. While treating diabetes in general can be challenging, this is usually not the case with GDM. Most women with GDM are motivated to take care of themselves for the well-being of their developing baby. The influence of a baby developing inside a mother is so strong that diabetic women who become pregnant often take better care of themselves than they do when they are not pregnant.
The patient’s daily responsibilities should include eating a healthy and diet checking her blood glucose levels throughout the day. These readings must be recorded. Clinic visits should occur often, with emailing of glucose readings between visits as needed. The frequency of visits varies among practices, depending on the patient’s level of glucose control and intensity of the treatment regimen.
Q: Why is postpartum testing important?
After delivery, most cases of GDM usually resolve. However, approximately 5% to 10% of women with gestational diabetes are found to have diabetes immediately after pregnancy.2 To evaluate for persistent diabetes, a two-hour GTT should be done at six weeks’ postpartum. Although an A1C can now be used to diagnose diabetes, the ADA does not recommend checking it for this purpose.3
If the two-hour GTT result is normal, a woman should be screened for diabetes every three years for the rest of her life.3 If a diagnosis of impaired fasting glucose or impaired glucose tolerance is made, then she should be tested for diabetes on an annual basis or in the interim if she develops classic symptoms of hyperglycemia.3 If diabetes is diagnosed, she should be treated accordingly as a type 2 diabetic patient.
At this time, the patient should be counseled on lifestyle interventions and consider starting metformin therapy if appropriate. Diabetes education classes are available for prediabetes. To maintain good health and prevent/delay onset of type 2 diabetes, here are some tips to follow:
• The same diet as during pregnancy does not have to be followed, although healthy eating habits are always a good idea.
• Physical activity (approximately 30 min five times a week) will help shed weight gained during pregnancy.
• Breastfeeding promotes weight loss.10
• Patients should aim for weight loss of 7% of body weight.3
• Continue annual physical exams, keeping an eye on blood pressure, weight, and cholesterol levels.
It’s reasonable for the patient to check glucose levels occasionally after delivery. If elevated readings occur, the patient can make an appointment with her primary care provider or endocrinologist.
References
1. American Association for Clinical Chemistry. A New Definition of Gestational Diabetes. www.aacc.org/publications/cln/2010/may/Pages/CoverStory2May2010.aspx. Accessed June 30, 2013.
2. National Diabetes Statistics, 2011. www.diabetes.niddk.nih.gov/dm/pubs/statistics/#Gestational. Accessed July 22, 2013.
3. American Diabetes Association. 2012 Clinical Practice Recommendations. Diabetes Care. 2012;35(suppl 1). http://professional.diabetes.org/SlideLibrary/media/4839/ADA%20Standards%20of%20Medical%20Care%202012%20FINAL.ppt. Accessed June 24, 2013.
4. American Diabetes Association. Diabetes basics: your risk. www.diabetes.org/diabetes-basics/prevention/risk-factors. Accessed August 13, 2013.
5. American Diabetes Association. Diabetes Basics: What is Gestational Diabetes? www.diabetes.org/diabetes-basics/gestational/what-is-gestational-diabetes.html. Accessed August 13, 2013.
6. Johnson K. New criteria for gestational diabetes increase diagnoses (December 5, 2011). www.medscape.com/viewarticle/754733. Accessed August 13, 2013.
7. American Diabetes Association. Diabetes basics: how to treat gestational diabetes. www.diabetes.org/diabetes-basics/gestational/how-to-treat-gestational.html. Accessed August 13, 2013.
8. Moore TR. Glyburide for the treatment of gestational diabetes: a critical appraisal. Diabetes Care. 2007;30(suppl 2). http://care.diabetesjournals.org/content/30/Supplement_2/S209.full. Accessed August 13, 2013.
9. Lowes R. Levemir assigned more reassuring pregnancy risk category (April 2, 2012). www.medscape.com/viewarticle/761349. Accessed August 13, 2013.
10. Buchanan TA, Xiang AH, Page KA. Gestational diabetes mellitus: risks and management during and after pregnancy. Nat Rev Endocrinol. 2012;8(11):639-649.
One of the most common complications of pregnancy is gestational diabetes mellitus (GDM). It is defined as glucose intolerance with first onset during pregnancy.1 In 2011, the incidence of GDM in the United States was between 2% and 10% of all pregnancies. Potential complications associated with GDM include macrosomia, pre-eclampsia, preterm birth, increased risk for cesarean section, neonatal hypoglycemia, shoulder dystocia, and polyhydramnios. Women with a history of gestational diabetes have a 35% to 60% likelihood of developing type 2 diabetes over the following 10 to 20 years.2
Q: When should screening for GDM occur?
According to the American Diabetes Association’s (ADA) 2012 Clinical Practice Recommendations, a pregnant woman should be screened for undiagnosed type 2 diabetes at her first prenatal visit if she has certain risk factors.3 These include, but are not limited to, family history of diabetes, overweight/obesity, sedentary lifestyle, elevated blood pressure and/or cholesterol, impaired fasting glucose or impaired glucose tolerance, or certain ethnic backgrounds (eg, Hispanic, Native American, and non-Hispanic black).4 In 2011, the ADA revised its recommendations for GDM screening and diagnosis to be in accordance with those from the International Association of Diabetes and Pregnancy Study Groups (IADPSG), an international consensus group with representatives from multiple obstetric and diabetes organizations, including ADA.
Q: How is GDM diagnosed?
Current recommendations stipulate that women with no previous history of diabetes or prediabetes undergo one-step testing: a 75-g glucose tolerance test (GTT) at 24 to 28 weeks’ gestation.5,6 For women with a prior history of GDM, screening is recommended earlier in the pregnancy. The GTT should be performed after an overnight fast of at least eight hours.3 An elevation of any one of the values above normal reference range is consistent with the diagnosis of GDM. (Previously, the diagnostic criteria required two abnormal values.) Multiple international studies using the new criteria have estimated an increased incidence of gestational diabetes in up to 18% of pregnancies.5,6
Some organizations have not endorsed the IADPSG/ADA diagnostic criteria at this time; as a result, many practitioners continue to use two-step testing for diagnosing GDM. To do the two-step testing, a 50-g glucose load is given, followed by a blood glucose reading one hour later. If the one-hour reading is within normal range, no further testing is warranted and the patient does not have gestational diabetes. If the test is abnormal, she must undergo a fasting three-hour GTT using a 100-g glucose load.
Q: What advice should a woman get once she’s diagnosed with GDM?
As soon as a woman is diagnosed with GDM, she should be referred for a gestational diabetes education class and nutrition counseling. Specifically, she should learn what it means for her to have GDM, implications for her and her baby, and the importance of eating a healthy diet (not the proverbial concept of “eating for two”), physical activity, self-monitoring blood glucose, and adherence to any prescribed medications.
Probably the most important aspect of education is nutrition counseling. It is known that smaller meals consumed more frequently throughout the day reduce spikes in blood glucose levels. One suggestion is to eat three small meals and three low-carbohydrate (15 g) snacks each day. Meals and snacks are generally established based on fixed carbohydrate amounts. A certified diabetes educator or registered dietitian (RD) can recommend healthy meal and snack ideas that are tasty, promote satiety, and minimize spikes in glucose levels.
Q: What are the current treatment options for GDM?
During the process of receiving GDM education, the patient should be prescribed a glucometer, along with specific glucose targets. Blood glucose should be checked multiple times a day, preferably fasting and postprandial measurements. Medical practices vary in their preferred glucose targets; some individuals require tighter control than others. The ADA suggests the following targets:
• Before a meal (preprandial):
95 mg/dL or less.
• One hour after a meal (postprandial): 140 mg/dL or less.
• Two hours after a meal (postprandial): 120 mg/dL or less. 7
If blood glucose levels remain within normal range, it is possible to control gestational diabetes with dietary modification and physical activity. If readings are consistently elevated, then the patient must be started on medication. There are currently no FDA-approved oral medications to treat gestational diabetes. Glyburide is commonly used, although it is not FDA approved for this indication. More studies to establish its safety are likely needed for FDA approval.8
If pharmaceutical treatment is warranted, insulin is the safest and most effective agent. It is the only medication that is FDA approved for treatment of GDM. Levemir (insulin detemir [rDNA origin] injection) gained FDA approval for use in pregnancy in 2012, so it has become more widespread than NPH for basal insulin usage.9
Although it is usually managed by an endocrinologist or perinatologist, an experienced obstetrician could also manage GDM. Often, the patient is referred to an endocrinologist. The endocrine provider, along with the diabetes educator and RD, focus on nutrition counseling and diabetes management so the obstetrician can focus on maternal and fetal health.
Q: What is the recommended follow-up?
Since embryonic and fetal development occurs at such a rapid rate, time is of the essence for getting a patient’s blood glucose to goal. While treating diabetes in general can be challenging, this is usually not the case with GDM. Most women with GDM are motivated to take care of themselves for the well-being of their developing baby. The influence of a baby developing inside a mother is so strong that diabetic women who become pregnant often take better care of themselves than they do when they are not pregnant.
The patient’s daily responsibilities should include eating a healthy and diet checking her blood glucose levels throughout the day. These readings must be recorded. Clinic visits should occur often, with emailing of glucose readings between visits as needed. The frequency of visits varies among practices, depending on the patient’s level of glucose control and intensity of the treatment regimen.
Q: Why is postpartum testing important?
After delivery, most cases of GDM usually resolve. However, approximately 5% to 10% of women with gestational diabetes are found to have diabetes immediately after pregnancy.2 To evaluate for persistent diabetes, a two-hour GTT should be done at six weeks’ postpartum. Although an A1C can now be used to diagnose diabetes, the ADA does not recommend checking it for this purpose.3
If the two-hour GTT result is normal, a woman should be screened for diabetes every three years for the rest of her life.3 If a diagnosis of impaired fasting glucose or impaired glucose tolerance is made, then she should be tested for diabetes on an annual basis or in the interim if she develops classic symptoms of hyperglycemia.3 If diabetes is diagnosed, she should be treated accordingly as a type 2 diabetic patient.
At this time, the patient should be counseled on lifestyle interventions and consider starting metformin therapy if appropriate. Diabetes education classes are available for prediabetes. To maintain good health and prevent/delay onset of type 2 diabetes, here are some tips to follow:
• The same diet as during pregnancy does not have to be followed, although healthy eating habits are always a good idea.
• Physical activity (approximately 30 min five times a week) will help shed weight gained during pregnancy.
• Breastfeeding promotes weight loss.10
• Patients should aim for weight loss of 7% of body weight.3
• Continue annual physical exams, keeping an eye on blood pressure, weight, and cholesterol levels.
It’s reasonable for the patient to check glucose levels occasionally after delivery. If elevated readings occur, the patient can make an appointment with her primary care provider or endocrinologist.
References
1. American Association for Clinical Chemistry. A New Definition of Gestational Diabetes. www.aacc.org/publications/cln/2010/may/Pages/CoverStory2May2010.aspx. Accessed June 30, 2013.
2. National Diabetes Statistics, 2011. www.diabetes.niddk.nih.gov/dm/pubs/statistics/#Gestational. Accessed July 22, 2013.
3. American Diabetes Association. 2012 Clinical Practice Recommendations. Diabetes Care. 2012;35(suppl 1). http://professional.diabetes.org/SlideLibrary/media/4839/ADA%20Standards%20of%20Medical%20Care%202012%20FINAL.ppt. Accessed June 24, 2013.
4. American Diabetes Association. Diabetes basics: your risk. www.diabetes.org/diabetes-basics/prevention/risk-factors. Accessed August 13, 2013.
5. American Diabetes Association. Diabetes Basics: What is Gestational Diabetes? www.diabetes.org/diabetes-basics/gestational/what-is-gestational-diabetes.html. Accessed August 13, 2013.
6. Johnson K. New criteria for gestational diabetes increase diagnoses (December 5, 2011). www.medscape.com/viewarticle/754733. Accessed August 13, 2013.
7. American Diabetes Association. Diabetes basics: how to treat gestational diabetes. www.diabetes.org/diabetes-basics/gestational/how-to-treat-gestational.html. Accessed August 13, 2013.
8. Moore TR. Glyburide for the treatment of gestational diabetes: a critical appraisal. Diabetes Care. 2007;30(suppl 2). http://care.diabetesjournals.org/content/30/Supplement_2/S209.full. Accessed August 13, 2013.
9. Lowes R. Levemir assigned more reassuring pregnancy risk category (April 2, 2012). www.medscape.com/viewarticle/761349. Accessed August 13, 2013.
10. Buchanan TA, Xiang AH, Page KA. Gestational diabetes mellitus: risks and management during and after pregnancy. Nat Rev Endocrinol. 2012;8(11):639-649.
Is Man Balding “Just Like Dad”?
ANSWER
The correct answer is alopecia areata (choice “d”), the causes of which are discussed below. It typically manifests with sudden-onset complete hair loss in a well-defined area or areas.
Androgenetic alopecia (choice “a”) is incorrect, since its onset is remarkably gradual and the areas it affects are patterned differently from those seen with alopecia areata.
Kerion (choice “b”) is the name of an edematous, inflamed mass in the scalp triggered by fungal infection (tinea capitis) and is almost always accompanied by broken skin and palpable lymph nodes in the area.
Lichen planopilaris (choice “c”) is lichen planus of the scalp and hair follicles, an inflammatory condition that can involve hair loss of variable size and shape, but not in the same well-defined pattern seen here.
DISCUSSION
There are dermatologists who specialize in diseases of the scalp, especially those resulting in hair loss. In addition to the differential diagnoses mentioned, they see conditions such as lupus, trichotillomania, and reactions to hair care products.
Alopecia areata (AA) seldom needs the attention of these specialists, except in atypical cases. The total hair loss in these well-defined, oval-to-round areas presents fairly acutely, with obviously excessive hair loss noted not only in the scalp but also in the comb, brush, or sink. Although AA is quite common (and thus well known to barbers and hairdressers), it is still often a total and very distressing mystery to the patient. Stress is one of the factors theorized to trigger it—but unfortunately, the more stressed the patient is about the hair loss, the worse it gets.
In the vast majority of cases, the condition resolves, the hair returns, and the grateful patient breathes a sigh of relief. Recurrences, however, are not at all uncommon. A tiny percentage of AA patients go on to lose all the hair in their scalp (alopecia totalis), and an even smaller percentage of those patients go on to lose every hair on their body, permanently (alopecia universalis).
Much has been reported about the cause, which appears to be autoimmune in nature, with an apparent hereditary predisposition. About 10% to 20% of affected patients have a positive family history of AA, and those with severe AA have a positive family history about 16% to 18% of the time.
The theory of an autoimmune basis is also strongly supported by the significantly increased incidence of other autoimmune diseases (especially thyroid disease and vitiligo) in AA patients and their families. But T-cells almost certainly play a role too: Reductions in their number are usually followed by resolution of AA, while increases have the opposite effect. Increased antibodies to various portions of the hair shaft and related structures have now been tied to AA episodes, but these may be epiphenomenal and not causative.
One constant is the perifollicular lymphocytic infiltrate surrounding anagen phase follicles of AA patients. When corticosteroids are administered (eg, by intralesional injection, orally, or systemically), it is this infiltrate that is thereby dissipated, promoting at least temporary hair regrowth. Topically applied steroid preparations are not as helpful, and no known treatment has a positive effect on the ultimate outcome.
Fortunately, most cases of AA resolve satisfactorily with minimal or no treatment. Numerous treatments have been tried for AA, including minoxidil, topical sensitizers (eg, squaric acid, dintrochlorobenzene), and several types of phototherapy. Studies of the efficacy of the various treatments is complicated by the self-limiting nature of the problem.
Predictors of potentially poor outcomes include youth, atopy, extent of involvement, and the presence of ophiasis, a term used to describe extensive involvement of the periphery of the scalp.
ANSWER
The correct answer is alopecia areata (choice “d”), the causes of which are discussed below. It typically manifests with sudden-onset complete hair loss in a well-defined area or areas.
Androgenetic alopecia (choice “a”) is incorrect, since its onset is remarkably gradual and the areas it affects are patterned differently from those seen with alopecia areata.
Kerion (choice “b”) is the name of an edematous, inflamed mass in the scalp triggered by fungal infection (tinea capitis) and is almost always accompanied by broken skin and palpable lymph nodes in the area.
Lichen planopilaris (choice “c”) is lichen planus of the scalp and hair follicles, an inflammatory condition that can involve hair loss of variable size and shape, but not in the same well-defined pattern seen here.
DISCUSSION
There are dermatologists who specialize in diseases of the scalp, especially those resulting in hair loss. In addition to the differential diagnoses mentioned, they see conditions such as lupus, trichotillomania, and reactions to hair care products.
Alopecia areata (AA) seldom needs the attention of these specialists, except in atypical cases. The total hair loss in these well-defined, oval-to-round areas presents fairly acutely, with obviously excessive hair loss noted not only in the scalp but also in the comb, brush, or sink. Although AA is quite common (and thus well known to barbers and hairdressers), it is still often a total and very distressing mystery to the patient. Stress is one of the factors theorized to trigger it—but unfortunately, the more stressed the patient is about the hair loss, the worse it gets.
In the vast majority of cases, the condition resolves, the hair returns, and the grateful patient breathes a sigh of relief. Recurrences, however, are not at all uncommon. A tiny percentage of AA patients go on to lose all the hair in their scalp (alopecia totalis), and an even smaller percentage of those patients go on to lose every hair on their body, permanently (alopecia universalis).
Much has been reported about the cause, which appears to be autoimmune in nature, with an apparent hereditary predisposition. About 10% to 20% of affected patients have a positive family history of AA, and those with severe AA have a positive family history about 16% to 18% of the time.
The theory of an autoimmune basis is also strongly supported by the significantly increased incidence of other autoimmune diseases (especially thyroid disease and vitiligo) in AA patients and their families. But T-cells almost certainly play a role too: Reductions in their number are usually followed by resolution of AA, while increases have the opposite effect. Increased antibodies to various portions of the hair shaft and related structures have now been tied to AA episodes, but these may be epiphenomenal and not causative.
One constant is the perifollicular lymphocytic infiltrate surrounding anagen phase follicles of AA patients. When corticosteroids are administered (eg, by intralesional injection, orally, or systemically), it is this infiltrate that is thereby dissipated, promoting at least temporary hair regrowth. Topically applied steroid preparations are not as helpful, and no known treatment has a positive effect on the ultimate outcome.
Fortunately, most cases of AA resolve satisfactorily with minimal or no treatment. Numerous treatments have been tried for AA, including minoxidil, topical sensitizers (eg, squaric acid, dintrochlorobenzene), and several types of phototherapy. Studies of the efficacy of the various treatments is complicated by the self-limiting nature of the problem.
Predictors of potentially poor outcomes include youth, atopy, extent of involvement, and the presence of ophiasis, a term used to describe extensive involvement of the periphery of the scalp.
ANSWER
The correct answer is alopecia areata (choice “d”), the causes of which are discussed below. It typically manifests with sudden-onset complete hair loss in a well-defined area or areas.
Androgenetic alopecia (choice “a”) is incorrect, since its onset is remarkably gradual and the areas it affects are patterned differently from those seen with alopecia areata.
Kerion (choice “b”) is the name of an edematous, inflamed mass in the scalp triggered by fungal infection (tinea capitis) and is almost always accompanied by broken skin and palpable lymph nodes in the area.
Lichen planopilaris (choice “c”) is lichen planus of the scalp and hair follicles, an inflammatory condition that can involve hair loss of variable size and shape, but not in the same well-defined pattern seen here.
DISCUSSION
There are dermatologists who specialize in diseases of the scalp, especially those resulting in hair loss. In addition to the differential diagnoses mentioned, they see conditions such as lupus, trichotillomania, and reactions to hair care products.
Alopecia areata (AA) seldom needs the attention of these specialists, except in atypical cases. The total hair loss in these well-defined, oval-to-round areas presents fairly acutely, with obviously excessive hair loss noted not only in the scalp but also in the comb, brush, or sink. Although AA is quite common (and thus well known to barbers and hairdressers), it is still often a total and very distressing mystery to the patient. Stress is one of the factors theorized to trigger it—but unfortunately, the more stressed the patient is about the hair loss, the worse it gets.
In the vast majority of cases, the condition resolves, the hair returns, and the grateful patient breathes a sigh of relief. Recurrences, however, are not at all uncommon. A tiny percentage of AA patients go on to lose all the hair in their scalp (alopecia totalis), and an even smaller percentage of those patients go on to lose every hair on their body, permanently (alopecia universalis).
Much has been reported about the cause, which appears to be autoimmune in nature, with an apparent hereditary predisposition. About 10% to 20% of affected patients have a positive family history of AA, and those with severe AA have a positive family history about 16% to 18% of the time.
The theory of an autoimmune basis is also strongly supported by the significantly increased incidence of other autoimmune diseases (especially thyroid disease and vitiligo) in AA patients and their families. But T-cells almost certainly play a role too: Reductions in their number are usually followed by resolution of AA, while increases have the opposite effect. Increased antibodies to various portions of the hair shaft and related structures have now been tied to AA episodes, but these may be epiphenomenal and not causative.
One constant is the perifollicular lymphocytic infiltrate surrounding anagen phase follicles of AA patients. When corticosteroids are administered (eg, by intralesional injection, orally, or systemically), it is this infiltrate that is thereby dissipated, promoting at least temporary hair regrowth. Topically applied steroid preparations are not as helpful, and no known treatment has a positive effect on the ultimate outcome.
Fortunately, most cases of AA resolve satisfactorily with minimal or no treatment. Numerous treatments have been tried for AA, including minoxidil, topical sensitizers (eg, squaric acid, dintrochlorobenzene), and several types of phototherapy. Studies of the efficacy of the various treatments is complicated by the self-limiting nature of the problem.
Predictors of potentially poor outcomes include youth, atopy, extent of involvement, and the presence of ophiasis, a term used to describe extensive involvement of the periphery of the scalp.
A 39-year-old man presents with a two-month history of focal hair loss that has not responded to treatment. His primary care provider prescribed first an antifungal topical cream (clotrimazole/betamethasone bid for two weeks), then an oral antibiotic (cephalexin 500 mg qid for 10 days). Neither helped. His scalp is asymptomatic in the affected area (as well as elsewhere), but the hair loss is extremely upsetting to the patient. He is convinced (and has been told by family members) that he is merely going bald “just like his father.” The onset of his hair loss was rather sudden. It began with increased hair found in his sink and shower, followed by comments from family and coworkers. One friend loaned the patient his minoxidil solution, but twice-daily application for a week failed to slow the rate of hair loss. In general, the patient’s health is excellent; he does not require any maintenance medications. Neither he nor any family members have had any serious illnesses (eg, thyroid disease, lupus, vitiligo) that he could recall. The patient’s hair loss, affecting an approximately 10 x 8–cm area, is confined to the right parietal scalp and has a sharply defined border and strikingly oval shape. The hair loss within this area is complete, with no epidermal disturbance of the involved scalp skin noted on inspection or palpation. No nodes are palpable in the surrounding head or neck. No other areas of hair loss can be seen in hair-bearing areas.
New and Noteworthy Information—September 2013
A recent case–control study provides further evidence against the Zamboni hypothesis that chronic cerebrospinal venous insufficiency is involved with multiple sclerosis (MS), researchers reported August 14 in PLOS One. The researchers randomly selected 100 patients with MS between ages 18 and 65 and 100 controls with no known history of MS or other neurologic condition. All participants underwent ultrasound imaging of the veins of the neck and the deep cerebral veins, as well as MRI of the neck veins and brain. The investigators found no evidence of reflux, stenosis, or blockage in the internal jugular veins or vertebral veins in any study participant and no evidence of reflux or cessation of flow in the deep cerebral veins in any subject.
Breastfeeding may reduce a woman’s risk of Alzheimer’s disease, according to research published online ahead of print July 23 in the Journal of Alzheimer’s Disease. Investigators collected reproductive history data from and conducted Alzheimer’s disease diagnostic interviews with a cohort of elderly British women. Analysis using Cox proportional-hazard models indicated that longer breastfeeding duration corresponded to reduced risk of Alzheimer’s disease. Women who breastfed had lower risk of Alzheimer’s disease than women who did not breastfeed. Breastfeeding practices are an important modifier of cumulative endogenous hormone exposure for mothers, according to the researchers. Future studies should consider how reproductive history leads to variation in endogenous hormone exposure and how this variation may influence the relationship between hormones and Alzheimer’s disease, the investigators concluded.
Among older adults, anemia may be associated with an increased risk of dementia, according to a study published August 6 in Neurology. Researchers studied 2,552 older adults (mean age, 76) participating in the Health, Aging, and Body Composition study and who were free of dementia at baseline. Of the total population, 392 participants had anemia at baseline. Over 11 years of follow-up, 455 participants developed dementia. An unadjusted analysis indicated that subjects with baseline anemia had an increased risk of dementia (23% vs 17%) compared with subjects without anemia. The association remained significant after adjusting for demographics, APOE ε4, baseline Modified Mini-Mental State score, comorbidities, and renal function. Additional adjustment for other anemia measures, erythropoietin, and C-reactive protein did not affect the results significantly.
The FDA has approved Trokendi XR, a once-daily extended release formulation of topiramate for the treatment of epilepsy. The agency granted a waiver for certain pediatric study requirements and a deferral for the submission of postmarketing pediatric pharmacokinetic assessments. Trokendi XR is indicated for initial monotherapy in patients ages 10 and older with partial onset or primary generalized tonic–clonic seizures. The drug also is approved as adjunctive therapy in patients ages 6 and older with partial onset or primary generalized tonic–clonic seizures, and as adjunctive therapy in patients ages 6 and older with seizures associated with Lennox–Gastaut syndrome. The product will be available in 25-, 50-, 100- and 200-mg extended-release capsules. Supernus Pharmaceuticals (Rockville, Maryland) expects to launch the product in September 2013.
The FDA has approved scored tablet and oral suspension formulations of ONFI (clobazam) CIV. ONFI is an oral antiepileptic drug of the benzodiazepine class (ie, a 1,5 benzodiazepine). The agency originally approved ONFI in 2011 as a prescription medication to treat seizures associated with Lennox–Gastaut syndrome in adults and children age 2 or older. The new oval-shaped ONFI scored tablets (10 mg and 20 mg) will replace the round, nonscored tablets and are similar in size. The new tablets contain the same ingredients as the round tablet, and the score allows patients or their caregivers to split the tablets in half. ONFI oral suspension (2.5 mg/mL) has a berry flavor. ONFI, manufactured by Lundbeck (Deerfield, Illinois), will no longer be available in a 5-mg tablet.
An incomplete circle of Willis may be more common in patients with migraine with aura than in the general population, according to research published July 26 in PLOS One. Investigators enrolled 56 migraineurs with aura, 61 migraineurs without aura, and 53 controls in an observational study. The researchers performed magnetic resonance angiography to examine subjects’ circle of Willis anatomy and measured cerebral blood flow with arterial spin–labeled perfusion MRI. An incomplete circle of Willis was significantly more common in migraineurs with aura, compared with controls (73% vs 51%). A similar trend was observed among migraineurs without aura (67% vs 51%). Compared with subjects with a complete circle of Willis, subjects with an incomplete circle had greater asymmetry in hemispheric cerebral blood flow.
Some patients with chronic pain diagnosed as fibromyalgia may have unrecognized small-fiber polyneuropathy (SFPN), according to research published online ahead of print June 7 in Pain. Investigators analyzed symptoms associated with SFPN, neurologic examinations, and pathologic and physiologic markers in 27 patients with fibromyalgia and 30 matched normal controls. Study instruments included the Michigan Neuropathy Screening Instrument (MNSI), the Utah Early Neuropathy Scale (UENS), distal-leg neurodiagnostic skin biopsies, and autonomic-function testing (AFT). Approximately 41% of skin biopsies from subjects with fibromyalgia supported a diagnosis of SFPN, compared with 3% of biopsies from control subjects. MNSI and UENS scores were higher in patients with fibromyalgia than in control subjects. Abnormal AFTs were prevalent among patients with fibromyalgia, suggesting that fibromyalgia-associated SFPN is primarily somatic, said the researchers.
High glucose levels may be a risk factor for dementia, even among persons without diabetes, according to a study published August 8 in the New England Journal of Medicine. Researchers examined 35,264 clinical measurements of glucose levels and 10,208 measurements of glycated hemoglobin levels from 2,067 participants (1,228 women) without dementia. Participants’ mean age at baseline was 76. Of the total population, 232 participants had diabetes. During a median follow-up of 6.8 years, 524 participants developed dementia (74 with diabetes). Among participants without diabetes, higher average glucose levels within the preceding five years were related to an increased risk of dementia. A glucose level of 115 mg/dL, compared with 100 mg/dL, was associated with an adjusted hazard ratio for dementia of 1.18.
A majority of Alzheimer’s disease investigators favor disclosing amyloid imaging results to participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), according to a survey published online ahead of print August 21 in Neurology. Shortly before the FDA approved the amyloid-binding radiotracer florbetapir, all ADNI investigators and personnel were asked to complete an anonymous online survey that contained fixed-choice and free-text questions. Although ADNI participants often requested amyloid imaging results, the majority of ADNI investigators (approximately 90%) did not return amyloid imaging results to the participants. Most investigators reported that if the FDA approved florbetapir, they would support the return of amyloid imaging results to participants with mild cognitive impairment and normal cognition, however. ADNI investigators emphasized the need for guidance on how to provide these results to participants.
A sudden decrease of testosterone may induce nigrostriatal pathologies in mice through a decrease in glial-derived neurotrophic factor (GDNF) mediated by inducible nitric-oxide synthase (iNOS), investigators reported in the July 19 Journal of Biological Chemistry. Levels of iNOS, glial markers, and α-synuclein were higher in the nigra of castrated male mice than in normal male mice. After castration, the level of GDNF markedly decreased in the nigra of male mice, however. Subcutaneous implantation of 5 α-dihydrotestosterone pellets reversed nigrostriatal pathologies in castrated male mice, suggesting that the male sex hormone plays a role in castration-induced nigrostriatal pathology. Castrated young male mice may be used as a simple, toxin-free, and nontransgenic animal model to study Parkinson’s disease-related nigrostriatal pathologies, thus facilitating the screening of drugs against Parkinson’s disease, said the researchers.
IV thrombolysis within 90 minutes may be associated with excellent outcomes in patients with moderate and mild stroke, according to research published online ahead of print August 22 in Stroke. Investigators prospectively collected data for consecutive ischemic stroke patients who received IV thrombolysis at 10 European stroke centers. Logistic regression analysis suggested that shorter onset-to-treatment time was significantly associated with excellent outcome. Patients with onset-to-treatment time of 90 minutes or less had lower frequency of intracranial hemorrhage. After adjusting for age, sex, admission glucose level, and year of treatment, the researchers found that onset-to-treatment time of 90 minutes or less was associated with excellent outcome in patients with NIH Stroke Scale (NIHSS) score from 7 to 12, but not in patients with baseline NIHSS score greater than 12 and baseline NIHSS 0 to 6.
A neo-substrate approach involving the adenosine triphosphate (ATP) analog kinetin triphosphate (KTP) can increase the activity of Parkinson’s disease–related mutant PINK1G309D and PINK1WT, according to research published on August 15 in Cell. Investigators found that the normal and mutated versions of PINK1 bind to KTP. The application of KTP precursor kinetin to cells resulted in biologically significant increases in PINK1 activity, which were manifest as higher levels of Parkin recruitment to depolarized mitochondria, reduced mitochondrial motility in axons, and lower levels of apoptosis. Kinetin could treat patients with a known PINK1 mutation and also slow disease progression in patients without a family history of the disease, said the researchers. The search for neo-substrates for kinases could provide a novel way of regulating kinase activity, they concluded.
The effect of copper on brain amyloid-β homeostasis depends on whether it is accumulated in the capillaries or in the parenchyma, researchers reported online ahead of print August 19 in Proceedings of the National Academy of Sciences. In aging mice, the accumulation of copper in brain capillaries was associated with its reduction in low-density lipoprotein receptor–related protein 1 (LRP1) and higher brain amyloid-β levels. In human brain endothelial cells, normal labile levels of copper caused the downregulation of LRP1 by inducing nitrotyrosination and subsequent proteosomal-dependent degradation, partly because of interactions between copper, cellular prion protein, and LRP1. In APPsw/0 mice, copper downregulated LRP1 in brain capillaries and increased amyloid-b production and neuroinflammation. The effect resulted from the accumulation of copper in brain capillaries and in the parenchyma.
—Erik Greb
Senior Associate Editor
A recent case–control study provides further evidence against the Zamboni hypothesis that chronic cerebrospinal venous insufficiency is involved with multiple sclerosis (MS), researchers reported August 14 in PLOS One. The researchers randomly selected 100 patients with MS between ages 18 and 65 and 100 controls with no known history of MS or other neurologic condition. All participants underwent ultrasound imaging of the veins of the neck and the deep cerebral veins, as well as MRI of the neck veins and brain. The investigators found no evidence of reflux, stenosis, or blockage in the internal jugular veins or vertebral veins in any study participant and no evidence of reflux or cessation of flow in the deep cerebral veins in any subject.
Breastfeeding may reduce a woman’s risk of Alzheimer’s disease, according to research published online ahead of print July 23 in the Journal of Alzheimer’s Disease. Investigators collected reproductive history data from and conducted Alzheimer’s disease diagnostic interviews with a cohort of elderly British women. Analysis using Cox proportional-hazard models indicated that longer breastfeeding duration corresponded to reduced risk of Alzheimer’s disease. Women who breastfed had lower risk of Alzheimer’s disease than women who did not breastfeed. Breastfeeding practices are an important modifier of cumulative endogenous hormone exposure for mothers, according to the researchers. Future studies should consider how reproductive history leads to variation in endogenous hormone exposure and how this variation may influence the relationship between hormones and Alzheimer’s disease, the investigators concluded.
Among older adults, anemia may be associated with an increased risk of dementia, according to a study published August 6 in Neurology. Researchers studied 2,552 older adults (mean age, 76) participating in the Health, Aging, and Body Composition study and who were free of dementia at baseline. Of the total population, 392 participants had anemia at baseline. Over 11 years of follow-up, 455 participants developed dementia. An unadjusted analysis indicated that subjects with baseline anemia had an increased risk of dementia (23% vs 17%) compared with subjects without anemia. The association remained significant after adjusting for demographics, APOE ε4, baseline Modified Mini-Mental State score, comorbidities, and renal function. Additional adjustment for other anemia measures, erythropoietin, and C-reactive protein did not affect the results significantly.
The FDA has approved Trokendi XR, a once-daily extended release formulation of topiramate for the treatment of epilepsy. The agency granted a waiver for certain pediatric study requirements and a deferral for the submission of postmarketing pediatric pharmacokinetic assessments. Trokendi XR is indicated for initial monotherapy in patients ages 10 and older with partial onset or primary generalized tonic–clonic seizures. The drug also is approved as adjunctive therapy in patients ages 6 and older with partial onset or primary generalized tonic–clonic seizures, and as adjunctive therapy in patients ages 6 and older with seizures associated with Lennox–Gastaut syndrome. The product will be available in 25-, 50-, 100- and 200-mg extended-release capsules. Supernus Pharmaceuticals (Rockville, Maryland) expects to launch the product in September 2013.
The FDA has approved scored tablet and oral suspension formulations of ONFI (clobazam) CIV. ONFI is an oral antiepileptic drug of the benzodiazepine class (ie, a 1,5 benzodiazepine). The agency originally approved ONFI in 2011 as a prescription medication to treat seizures associated with Lennox–Gastaut syndrome in adults and children age 2 or older. The new oval-shaped ONFI scored tablets (10 mg and 20 mg) will replace the round, nonscored tablets and are similar in size. The new tablets contain the same ingredients as the round tablet, and the score allows patients or their caregivers to split the tablets in half. ONFI oral suspension (2.5 mg/mL) has a berry flavor. ONFI, manufactured by Lundbeck (Deerfield, Illinois), will no longer be available in a 5-mg tablet.
An incomplete circle of Willis may be more common in patients with migraine with aura than in the general population, according to research published July 26 in PLOS One. Investigators enrolled 56 migraineurs with aura, 61 migraineurs without aura, and 53 controls in an observational study. The researchers performed magnetic resonance angiography to examine subjects’ circle of Willis anatomy and measured cerebral blood flow with arterial spin–labeled perfusion MRI. An incomplete circle of Willis was significantly more common in migraineurs with aura, compared with controls (73% vs 51%). A similar trend was observed among migraineurs without aura (67% vs 51%). Compared with subjects with a complete circle of Willis, subjects with an incomplete circle had greater asymmetry in hemispheric cerebral blood flow.
Some patients with chronic pain diagnosed as fibromyalgia may have unrecognized small-fiber polyneuropathy (SFPN), according to research published online ahead of print June 7 in Pain. Investigators analyzed symptoms associated with SFPN, neurologic examinations, and pathologic and physiologic markers in 27 patients with fibromyalgia and 30 matched normal controls. Study instruments included the Michigan Neuropathy Screening Instrument (MNSI), the Utah Early Neuropathy Scale (UENS), distal-leg neurodiagnostic skin biopsies, and autonomic-function testing (AFT). Approximately 41% of skin biopsies from subjects with fibromyalgia supported a diagnosis of SFPN, compared with 3% of biopsies from control subjects. MNSI and UENS scores were higher in patients with fibromyalgia than in control subjects. Abnormal AFTs were prevalent among patients with fibromyalgia, suggesting that fibromyalgia-associated SFPN is primarily somatic, said the researchers.
High glucose levels may be a risk factor for dementia, even among persons without diabetes, according to a study published August 8 in the New England Journal of Medicine. Researchers examined 35,264 clinical measurements of glucose levels and 10,208 measurements of glycated hemoglobin levels from 2,067 participants (1,228 women) without dementia. Participants’ mean age at baseline was 76. Of the total population, 232 participants had diabetes. During a median follow-up of 6.8 years, 524 participants developed dementia (74 with diabetes). Among participants without diabetes, higher average glucose levels within the preceding five years were related to an increased risk of dementia. A glucose level of 115 mg/dL, compared with 100 mg/dL, was associated with an adjusted hazard ratio for dementia of 1.18.
A majority of Alzheimer’s disease investigators favor disclosing amyloid imaging results to participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), according to a survey published online ahead of print August 21 in Neurology. Shortly before the FDA approved the amyloid-binding radiotracer florbetapir, all ADNI investigators and personnel were asked to complete an anonymous online survey that contained fixed-choice and free-text questions. Although ADNI participants often requested amyloid imaging results, the majority of ADNI investigators (approximately 90%) did not return amyloid imaging results to the participants. Most investigators reported that if the FDA approved florbetapir, they would support the return of amyloid imaging results to participants with mild cognitive impairment and normal cognition, however. ADNI investigators emphasized the need for guidance on how to provide these results to participants.
A sudden decrease of testosterone may induce nigrostriatal pathologies in mice through a decrease in glial-derived neurotrophic factor (GDNF) mediated by inducible nitric-oxide synthase (iNOS), investigators reported in the July 19 Journal of Biological Chemistry. Levels of iNOS, glial markers, and α-synuclein were higher in the nigra of castrated male mice than in normal male mice. After castration, the level of GDNF markedly decreased in the nigra of male mice, however. Subcutaneous implantation of 5 α-dihydrotestosterone pellets reversed nigrostriatal pathologies in castrated male mice, suggesting that the male sex hormone plays a role in castration-induced nigrostriatal pathology. Castrated young male mice may be used as a simple, toxin-free, and nontransgenic animal model to study Parkinson’s disease-related nigrostriatal pathologies, thus facilitating the screening of drugs against Parkinson’s disease, said the researchers.
IV thrombolysis within 90 minutes may be associated with excellent outcomes in patients with moderate and mild stroke, according to research published online ahead of print August 22 in Stroke. Investigators prospectively collected data for consecutive ischemic stroke patients who received IV thrombolysis at 10 European stroke centers. Logistic regression analysis suggested that shorter onset-to-treatment time was significantly associated with excellent outcome. Patients with onset-to-treatment time of 90 minutes or less had lower frequency of intracranial hemorrhage. After adjusting for age, sex, admission glucose level, and year of treatment, the researchers found that onset-to-treatment time of 90 minutes or less was associated with excellent outcome in patients with NIH Stroke Scale (NIHSS) score from 7 to 12, but not in patients with baseline NIHSS score greater than 12 and baseline NIHSS 0 to 6.
A neo-substrate approach involving the adenosine triphosphate (ATP) analog kinetin triphosphate (KTP) can increase the activity of Parkinson’s disease–related mutant PINK1G309D and PINK1WT, according to research published on August 15 in Cell. Investigators found that the normal and mutated versions of PINK1 bind to KTP. The application of KTP precursor kinetin to cells resulted in biologically significant increases in PINK1 activity, which were manifest as higher levels of Parkin recruitment to depolarized mitochondria, reduced mitochondrial motility in axons, and lower levels of apoptosis. Kinetin could treat patients with a known PINK1 mutation and also slow disease progression in patients without a family history of the disease, said the researchers. The search for neo-substrates for kinases could provide a novel way of regulating kinase activity, they concluded.
The effect of copper on brain amyloid-β homeostasis depends on whether it is accumulated in the capillaries or in the parenchyma, researchers reported online ahead of print August 19 in Proceedings of the National Academy of Sciences. In aging mice, the accumulation of copper in brain capillaries was associated with its reduction in low-density lipoprotein receptor–related protein 1 (LRP1) and higher brain amyloid-β levels. In human brain endothelial cells, normal labile levels of copper caused the downregulation of LRP1 by inducing nitrotyrosination and subsequent proteosomal-dependent degradation, partly because of interactions between copper, cellular prion protein, and LRP1. In APPsw/0 mice, copper downregulated LRP1 in brain capillaries and increased amyloid-b production and neuroinflammation. The effect resulted from the accumulation of copper in brain capillaries and in the parenchyma.
—Erik Greb
Senior Associate Editor
A recent case–control study provides further evidence against the Zamboni hypothesis that chronic cerebrospinal venous insufficiency is involved with multiple sclerosis (MS), researchers reported August 14 in PLOS One. The researchers randomly selected 100 patients with MS between ages 18 and 65 and 100 controls with no known history of MS or other neurologic condition. All participants underwent ultrasound imaging of the veins of the neck and the deep cerebral veins, as well as MRI of the neck veins and brain. The investigators found no evidence of reflux, stenosis, or blockage in the internal jugular veins or vertebral veins in any study participant and no evidence of reflux or cessation of flow in the deep cerebral veins in any subject.
Breastfeeding may reduce a woman’s risk of Alzheimer’s disease, according to research published online ahead of print July 23 in the Journal of Alzheimer’s Disease. Investigators collected reproductive history data from and conducted Alzheimer’s disease diagnostic interviews with a cohort of elderly British women. Analysis using Cox proportional-hazard models indicated that longer breastfeeding duration corresponded to reduced risk of Alzheimer’s disease. Women who breastfed had lower risk of Alzheimer’s disease than women who did not breastfeed. Breastfeeding practices are an important modifier of cumulative endogenous hormone exposure for mothers, according to the researchers. Future studies should consider how reproductive history leads to variation in endogenous hormone exposure and how this variation may influence the relationship between hormones and Alzheimer’s disease, the investigators concluded.
Among older adults, anemia may be associated with an increased risk of dementia, according to a study published August 6 in Neurology. Researchers studied 2,552 older adults (mean age, 76) participating in the Health, Aging, and Body Composition study and who were free of dementia at baseline. Of the total population, 392 participants had anemia at baseline. Over 11 years of follow-up, 455 participants developed dementia. An unadjusted analysis indicated that subjects with baseline anemia had an increased risk of dementia (23% vs 17%) compared with subjects without anemia. The association remained significant after adjusting for demographics, APOE ε4, baseline Modified Mini-Mental State score, comorbidities, and renal function. Additional adjustment for other anemia measures, erythropoietin, and C-reactive protein did not affect the results significantly.
The FDA has approved Trokendi XR, a once-daily extended release formulation of topiramate for the treatment of epilepsy. The agency granted a waiver for certain pediatric study requirements and a deferral for the submission of postmarketing pediatric pharmacokinetic assessments. Trokendi XR is indicated for initial monotherapy in patients ages 10 and older with partial onset or primary generalized tonic–clonic seizures. The drug also is approved as adjunctive therapy in patients ages 6 and older with partial onset or primary generalized tonic–clonic seizures, and as adjunctive therapy in patients ages 6 and older with seizures associated with Lennox–Gastaut syndrome. The product will be available in 25-, 50-, 100- and 200-mg extended-release capsules. Supernus Pharmaceuticals (Rockville, Maryland) expects to launch the product in September 2013.
The FDA has approved scored tablet and oral suspension formulations of ONFI (clobazam) CIV. ONFI is an oral antiepileptic drug of the benzodiazepine class (ie, a 1,5 benzodiazepine). The agency originally approved ONFI in 2011 as a prescription medication to treat seizures associated with Lennox–Gastaut syndrome in adults and children age 2 or older. The new oval-shaped ONFI scored tablets (10 mg and 20 mg) will replace the round, nonscored tablets and are similar in size. The new tablets contain the same ingredients as the round tablet, and the score allows patients or their caregivers to split the tablets in half. ONFI oral suspension (2.5 mg/mL) has a berry flavor. ONFI, manufactured by Lundbeck (Deerfield, Illinois), will no longer be available in a 5-mg tablet.
An incomplete circle of Willis may be more common in patients with migraine with aura than in the general population, according to research published July 26 in PLOS One. Investigators enrolled 56 migraineurs with aura, 61 migraineurs without aura, and 53 controls in an observational study. The researchers performed magnetic resonance angiography to examine subjects’ circle of Willis anatomy and measured cerebral blood flow with arterial spin–labeled perfusion MRI. An incomplete circle of Willis was significantly more common in migraineurs with aura, compared with controls (73% vs 51%). A similar trend was observed among migraineurs without aura (67% vs 51%). Compared with subjects with a complete circle of Willis, subjects with an incomplete circle had greater asymmetry in hemispheric cerebral blood flow.
Some patients with chronic pain diagnosed as fibromyalgia may have unrecognized small-fiber polyneuropathy (SFPN), according to research published online ahead of print June 7 in Pain. Investigators analyzed symptoms associated with SFPN, neurologic examinations, and pathologic and physiologic markers in 27 patients with fibromyalgia and 30 matched normal controls. Study instruments included the Michigan Neuropathy Screening Instrument (MNSI), the Utah Early Neuropathy Scale (UENS), distal-leg neurodiagnostic skin biopsies, and autonomic-function testing (AFT). Approximately 41% of skin biopsies from subjects with fibromyalgia supported a diagnosis of SFPN, compared with 3% of biopsies from control subjects. MNSI and UENS scores were higher in patients with fibromyalgia than in control subjects. Abnormal AFTs were prevalent among patients with fibromyalgia, suggesting that fibromyalgia-associated SFPN is primarily somatic, said the researchers.
High glucose levels may be a risk factor for dementia, even among persons without diabetes, according to a study published August 8 in the New England Journal of Medicine. Researchers examined 35,264 clinical measurements of glucose levels and 10,208 measurements of glycated hemoglobin levels from 2,067 participants (1,228 women) without dementia. Participants’ mean age at baseline was 76. Of the total population, 232 participants had diabetes. During a median follow-up of 6.8 years, 524 participants developed dementia (74 with diabetes). Among participants without diabetes, higher average glucose levels within the preceding five years were related to an increased risk of dementia. A glucose level of 115 mg/dL, compared with 100 mg/dL, was associated with an adjusted hazard ratio for dementia of 1.18.
A majority of Alzheimer’s disease investigators favor disclosing amyloid imaging results to participants in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), according to a survey published online ahead of print August 21 in Neurology. Shortly before the FDA approved the amyloid-binding radiotracer florbetapir, all ADNI investigators and personnel were asked to complete an anonymous online survey that contained fixed-choice and free-text questions. Although ADNI participants often requested amyloid imaging results, the majority of ADNI investigators (approximately 90%) did not return amyloid imaging results to the participants. Most investigators reported that if the FDA approved florbetapir, they would support the return of amyloid imaging results to participants with mild cognitive impairment and normal cognition, however. ADNI investigators emphasized the need for guidance on how to provide these results to participants.
A sudden decrease of testosterone may induce nigrostriatal pathologies in mice through a decrease in glial-derived neurotrophic factor (GDNF) mediated by inducible nitric-oxide synthase (iNOS), investigators reported in the July 19 Journal of Biological Chemistry. Levels of iNOS, glial markers, and α-synuclein were higher in the nigra of castrated male mice than in normal male mice. After castration, the level of GDNF markedly decreased in the nigra of male mice, however. Subcutaneous implantation of 5 α-dihydrotestosterone pellets reversed nigrostriatal pathologies in castrated male mice, suggesting that the male sex hormone plays a role in castration-induced nigrostriatal pathology. Castrated young male mice may be used as a simple, toxin-free, and nontransgenic animal model to study Parkinson’s disease-related nigrostriatal pathologies, thus facilitating the screening of drugs against Parkinson’s disease, said the researchers.
IV thrombolysis within 90 minutes may be associated with excellent outcomes in patients with moderate and mild stroke, according to research published online ahead of print August 22 in Stroke. Investigators prospectively collected data for consecutive ischemic stroke patients who received IV thrombolysis at 10 European stroke centers. Logistic regression analysis suggested that shorter onset-to-treatment time was significantly associated with excellent outcome. Patients with onset-to-treatment time of 90 minutes or less had lower frequency of intracranial hemorrhage. After adjusting for age, sex, admission glucose level, and year of treatment, the researchers found that onset-to-treatment time of 90 minutes or less was associated with excellent outcome in patients with NIH Stroke Scale (NIHSS) score from 7 to 12, but not in patients with baseline NIHSS score greater than 12 and baseline NIHSS 0 to 6.
A neo-substrate approach involving the adenosine triphosphate (ATP) analog kinetin triphosphate (KTP) can increase the activity of Parkinson’s disease–related mutant PINK1G309D and PINK1WT, according to research published on August 15 in Cell. Investigators found that the normal and mutated versions of PINK1 bind to KTP. The application of KTP precursor kinetin to cells resulted in biologically significant increases in PINK1 activity, which were manifest as higher levels of Parkin recruitment to depolarized mitochondria, reduced mitochondrial motility in axons, and lower levels of apoptosis. Kinetin could treat patients with a known PINK1 mutation and also slow disease progression in patients without a family history of the disease, said the researchers. The search for neo-substrates for kinases could provide a novel way of regulating kinase activity, they concluded.
The effect of copper on brain amyloid-β homeostasis depends on whether it is accumulated in the capillaries or in the parenchyma, researchers reported online ahead of print August 19 in Proceedings of the National Academy of Sciences. In aging mice, the accumulation of copper in brain capillaries was associated with its reduction in low-density lipoprotein receptor–related protein 1 (LRP1) and higher brain amyloid-β levels. In human brain endothelial cells, normal labile levels of copper caused the downregulation of LRP1 by inducing nitrotyrosination and subsequent proteosomal-dependent degradation, partly because of interactions between copper, cellular prion protein, and LRP1. In APPsw/0 mice, copper downregulated LRP1 in brain capillaries and increased amyloid-b production and neuroinflammation. The effect resulted from the accumulation of copper in brain capillaries and in the parenchyma.
—Erik Greb
Senior Associate Editor
Neurogenic thoracic outlet syndrome: An often overlooked but treatable condition
Medical Training Programs Adapt to Duty-Hour Changes
A new study that showed no long-term decrease in patient outcomes after landmark 2003 reforms could portend good news for the latest duty-hour regulations implemented in 2011.
The Journal of General Internal Medicine report, “Teaching Hospital Five-Year Mortality Trends in the Wake of Duty Hour Reforms,” found that the 2003 changes were associated with “no significant change in mortality in the early years after implementation, and with a trend toward improved mortality among medical patients in the fourth and fifth years.” One of the authors says it’s not evident whether the improved outcomes are because of the reforms.
“We don’t think it’s an effect of work-hour reforms itself, but more likely a marker that teaching hospitals are staying ahead of the curve in general,” says Patrick Romano, MD, MPH, FACP, FAAP, a professor of medicine and pediatrics at the University of California at Davis School of Medicine in Sacramento.
Dr. Romano, who along with colleagues has been studying duty-hour reforms for years, says the new research shows that teaching hospitals were able to adapt over the long term to staffing rules. Researchers are now curious how health care will adapt to the more restrictive 2011 changes promulgated by the Accreditation Council for Graduate Medical Education (ACGME), which mostly limits first-year residents to a maximum 16-hour shift and older residents to 24 hours.
“Even though there were more handoffs [caused by the 2003 reforms], even though there were more opportunities for error due to handoffs, teaching hospitals were able to update,” Dr. Romano says. “Maybe that’s optimistic for 2011.
“Is the glass half full or half empty?”
Visit our website for more information on duty hours.
A new study that showed no long-term decrease in patient outcomes after landmark 2003 reforms could portend good news for the latest duty-hour regulations implemented in 2011.
The Journal of General Internal Medicine report, “Teaching Hospital Five-Year Mortality Trends in the Wake of Duty Hour Reforms,” found that the 2003 changes were associated with “no significant change in mortality in the early years after implementation, and with a trend toward improved mortality among medical patients in the fourth and fifth years.” One of the authors says it’s not evident whether the improved outcomes are because of the reforms.
“We don’t think it’s an effect of work-hour reforms itself, but more likely a marker that teaching hospitals are staying ahead of the curve in general,” says Patrick Romano, MD, MPH, FACP, FAAP, a professor of medicine and pediatrics at the University of California at Davis School of Medicine in Sacramento.
Dr. Romano, who along with colleagues has been studying duty-hour reforms for years, says the new research shows that teaching hospitals were able to adapt over the long term to staffing rules. Researchers are now curious how health care will adapt to the more restrictive 2011 changes promulgated by the Accreditation Council for Graduate Medical Education (ACGME), which mostly limits first-year residents to a maximum 16-hour shift and older residents to 24 hours.
“Even though there were more handoffs [caused by the 2003 reforms], even though there were more opportunities for error due to handoffs, teaching hospitals were able to update,” Dr. Romano says. “Maybe that’s optimistic for 2011.
“Is the glass half full or half empty?”
Visit our website for more information on duty hours.
A new study that showed no long-term decrease in patient outcomes after landmark 2003 reforms could portend good news for the latest duty-hour regulations implemented in 2011.
The Journal of General Internal Medicine report, “Teaching Hospital Five-Year Mortality Trends in the Wake of Duty Hour Reforms,” found that the 2003 changes were associated with “no significant change in mortality in the early years after implementation, and with a trend toward improved mortality among medical patients in the fourth and fifth years.” One of the authors says it’s not evident whether the improved outcomes are because of the reforms.
“We don’t think it’s an effect of work-hour reforms itself, but more likely a marker that teaching hospitals are staying ahead of the curve in general,” says Patrick Romano, MD, MPH, FACP, FAAP, a professor of medicine and pediatrics at the University of California at Davis School of Medicine in Sacramento.
Dr. Romano, who along with colleagues has been studying duty-hour reforms for years, says the new research shows that teaching hospitals were able to adapt over the long term to staffing rules. Researchers are now curious how health care will adapt to the more restrictive 2011 changes promulgated by the Accreditation Council for Graduate Medical Education (ACGME), which mostly limits first-year residents to a maximum 16-hour shift and older residents to 24 hours.
“Even though there were more handoffs [caused by the 2003 reforms], even though there were more opportunities for error due to handoffs, teaching hospitals were able to update,” Dr. Romano says. “Maybe that’s optimistic for 2011.
“Is the glass half full or half empty?”
Visit our website for more information on duty hours.
Steroids May Increase Venous Thromboembolism Risk
Clinical question: Is exogenous glucocorticoid administration associated with an increased risk of VTE?
Background: Endogenous hypercortisolism is linked to increased VTE rates, and pathophysiologic data exist to suggest glucocorticoids increase clotting, but few studies have measured the clinical link between glucocorticoid administration and VTE events.
Study design: Case-control study.
Setting: Denmark.
Synopsis: The authors analyzed Danish national registries, which include information on diagnoses and prescriptions. The study selection period was Jan. 1, 2005, to Dec. 31, 2011. During this period, 38,675 cases of VTE (both DVT and pulmonary embolism) were identified in the population of Denmark. These cases were matched with 387,650 controls. Three routes of glucocorticoid use were studied: systemic (oral and intravenous), inhaled, and intestinal-acting. Cases were classified as present (within 90 days of VTE event), recent (within 91 to 365 days), or former (more than 365 days prior) users of glucocorticoids. Categories were also created for new versus continuous users.
Glucocorticoid use was associated with a significant increase in VTE occurrence. The strongest link was in new and recent users, and the effect diminished over time. Key limitations of the study included its reliance on registry data, as well as the fact that cases had more comorbid conditions than controls (e.g. recent infection, chronic illnesses).
Bottom line: Recipients of glucocorticoids had an increased risk of VTE; the effect was strongest in new and recent users.
Citation: Johannesdottir SA, Horvath-Puho E, Dekkers OM, et al. Use of glucocorticoids and risk of venous thromboembolism. JAMA Intern Med. 2013;173(9):743-752.
Visit our website for more physician reviews of recent HM-relevant literature.
Clinical question: Is exogenous glucocorticoid administration associated with an increased risk of VTE?
Background: Endogenous hypercortisolism is linked to increased VTE rates, and pathophysiologic data exist to suggest glucocorticoids increase clotting, but few studies have measured the clinical link between glucocorticoid administration and VTE events.
Study design: Case-control study.
Setting: Denmark.
Synopsis: The authors analyzed Danish national registries, which include information on diagnoses and prescriptions. The study selection period was Jan. 1, 2005, to Dec. 31, 2011. During this period, 38,675 cases of VTE (both DVT and pulmonary embolism) were identified in the population of Denmark. These cases were matched with 387,650 controls. Three routes of glucocorticoid use were studied: systemic (oral and intravenous), inhaled, and intestinal-acting. Cases were classified as present (within 90 days of VTE event), recent (within 91 to 365 days), or former (more than 365 days prior) users of glucocorticoids. Categories were also created for new versus continuous users.
Glucocorticoid use was associated with a significant increase in VTE occurrence. The strongest link was in new and recent users, and the effect diminished over time. Key limitations of the study included its reliance on registry data, as well as the fact that cases had more comorbid conditions than controls (e.g. recent infection, chronic illnesses).
Bottom line: Recipients of glucocorticoids had an increased risk of VTE; the effect was strongest in new and recent users.
Citation: Johannesdottir SA, Horvath-Puho E, Dekkers OM, et al. Use of glucocorticoids and risk of venous thromboembolism. JAMA Intern Med. 2013;173(9):743-752.
Visit our website for more physician reviews of recent HM-relevant literature.
Clinical question: Is exogenous glucocorticoid administration associated with an increased risk of VTE?
Background: Endogenous hypercortisolism is linked to increased VTE rates, and pathophysiologic data exist to suggest glucocorticoids increase clotting, but few studies have measured the clinical link between glucocorticoid administration and VTE events.
Study design: Case-control study.
Setting: Denmark.
Synopsis: The authors analyzed Danish national registries, which include information on diagnoses and prescriptions. The study selection period was Jan. 1, 2005, to Dec. 31, 2011. During this period, 38,675 cases of VTE (both DVT and pulmonary embolism) were identified in the population of Denmark. These cases were matched with 387,650 controls. Three routes of glucocorticoid use were studied: systemic (oral and intravenous), inhaled, and intestinal-acting. Cases were classified as present (within 90 days of VTE event), recent (within 91 to 365 days), or former (more than 365 days prior) users of glucocorticoids. Categories were also created for new versus continuous users.
Glucocorticoid use was associated with a significant increase in VTE occurrence. The strongest link was in new and recent users, and the effect diminished over time. Key limitations of the study included its reliance on registry data, as well as the fact that cases had more comorbid conditions than controls (e.g. recent infection, chronic illnesses).
Bottom line: Recipients of glucocorticoids had an increased risk of VTE; the effect was strongest in new and recent users.
Citation: Johannesdottir SA, Horvath-Puho E, Dekkers OM, et al. Use of glucocorticoids and risk of venous thromboembolism. JAMA Intern Med. 2013;173(9):743-752.
Visit our website for more physician reviews of recent HM-relevant literature.
When is an answer not an answer?
When your beloved authors were studying research and statistics, around the time that Methuselah was celebrating his first birthday, we thought we knew the difference between hypothesis testing and hypothesis generating. With the former, you begin with a question, design a study to answer it, carry it out, and then do some statistical mumbo-jumbo on the data to determine if you have reasonable evidence to answer the question. With the latter, usually done after you’ve answered the main questions, you don’t have any preconceived idea of what’s going on, so you analyze anything that moves. We know that’s not really kosher, because the probability of finding something just by chance (a Type I error) increases astronomically as you do more tests.1 So, in the hypothesis generating phase, you don’t come to any conclusions; you just say, “That’s an interesting finding. Now we’ll have to do a real study to see if our observation holds up.”
Click on the PDF icon at the top of this introduction to read the full article.
When your beloved authors were studying research and statistics, around the time that Methuselah was celebrating his first birthday, we thought we knew the difference between hypothesis testing and hypothesis generating. With the former, you begin with a question, design a study to answer it, carry it out, and then do some statistical mumbo-jumbo on the data to determine if you have reasonable evidence to answer the question. With the latter, usually done after you’ve answered the main questions, you don’t have any preconceived idea of what’s going on, so you analyze anything that moves. We know that’s not really kosher, because the probability of finding something just by chance (a Type I error) increases astronomically as you do more tests.1 So, in the hypothesis generating phase, you don’t come to any conclusions; you just say, “That’s an interesting finding. Now we’ll have to do a real study to see if our observation holds up.”
Click on the PDF icon at the top of this introduction to read the full article.
When your beloved authors were studying research and statistics, around the time that Methuselah was celebrating his first birthday, we thought we knew the difference between hypothesis testing and hypothesis generating. With the former, you begin with a question, design a study to answer it, carry it out, and then do some statistical mumbo-jumbo on the data to determine if you have reasonable evidence to answer the question. With the latter, usually done after you’ve answered the main questions, you don’t have any preconceived idea of what’s going on, so you analyze anything that moves. We know that’s not really kosher, because the probability of finding something just by chance (a Type I error) increases astronomically as you do more tests.1 So, in the hypothesis generating phase, you don’t come to any conclusions; you just say, “That’s an interesting finding. Now we’ll have to do a real study to see if our observation holds up.”
Click on the PDF icon at the top of this introduction to read the full article.
Adaptability and Resiliency of Military Families During Reunification: Results of a Longitudinal Study
Medicare Beneficiaries Likely Readmitted
For at least 25 years, approximately 20% of Medicare fee‐for‐service discharges have been followed by a hospital readmission within 30 days.[1, 2] Section 3025 of the Patient Protection and Affordable Care Act (ACA)[3] created escalating penalties for hospitals with higher than expected 30‐day readmission rates, and the Congressional Budget Office estimated this will reduce Medicare spending by over $7 billion between 2010 and 2019.[4]
Hospitals and physicians have begun developing strategies to identify which Medicare beneficiaries are most likely to be readmitted and use this information to design programs to reduce their readmission rate. Initially, penalties will be based on readmission rates after an index discharge with heart failure, myocardial infarction, and pneumonia.[5] Recently, the Centers for Medicare and Medicaid Services (CMS) released the Inpatient Prospective Payment System FY2014 proposed rule, which proposes to add 2 new readmission penalties beginning in FY2015: readmissions for hip/knee arthroplasty and chronic obstructive pulmonary disease.[6] Other countries are already penalizing hospitals with high readmission rates; for example, Germany is penalizing all readmissions that occur within a 30‐day period following admission.[7] In this brief report, we examine the characteristics of Medicare beneficiaries most likely to be readmitted within 30 days. We focus on readmission rates for all discharge conditions and all patient readmission rates, because we believe the language in the ACA ultimately points to an all‐inclusive approach.
METHODS
We used a nationally random 5% sample of all Medicare beneficiaries for the period between January 1, 2008 and September 30, 2008. To be included, beneficiaries must have both Part A and B coverage and live within the United States. Medicare Advantage patients were excluded because Medicare Advantage plans do not report the data in the same way as fee for service. We calculated the readmission rate as the number of admissions that were preceded by an at‐risk discharge within 30 days divided by the total number of at‐risk discharges. This definition included admissions to and discharges from sole community providers, Medicare‐dependent small rural hospitals, and critical access hospitals. We counted as at risk all live discharges from short‐term acute care hospitals that were not discharged against medical advice, discharged to a rehabilitation unit within an acute care hospital, or readmitted on day 0 (due to inconsistency with use of transfer coding). We only included discharges and readmissions to acute care hospitals and excluded hospitalizations in long‐term care facilities, rehabilitation facilities, skilled nursing homes, and other non‐acute care hospital facilities from being an index hospitalization. However, if the beneficiary was discharged to 1 of these facilities and then readmitted to an acute care hospital, the readmission was counted.
Each discharge was recorded as an independent event and we reset the readmission clock for a fresh 30‐day count each time the beneficiary was discharged. We examined the admission and readmission rate to determine if the rates varied by age, gender, reason for entitlement, racial characteristics, region of the country, number of chronic conditions, and whether the beneficiary is also enrolled in Medicaid (dual eligibles). We calculated the mean readmission rate for each diagnosis‐related group (DRG) and then used the probability of having a readmission for each DRG to calculate a case mix adjustment for each hospital. To calculate the chronic illness burden, we used a previously developed methodology for counting the number of chronic disease categories reported for the patient in the preceding year (2007).[8, 9] The classification system is maintained by the Agency for Health Care Research and Quality. We then used logistic regression to calculate the odds ratio of a discharge being readmitted based on these factors. We preformed statistical analysis using SAS version 9.1.3 (SAS Institute Inc., Cary, NC).
RESULTS
There were 434,999 hospital discharges that occurred in the first 9 months of 2008 in the 5% sample. There were 20.6% of Medicare beneficiaries hospitalized, and the overall readmission rate was 19.5%. Table 1 shows the odds ratios and 95% confidence intervals for the probability that a Medicare beneficiary will be readmitted within 30 days for variables including: age, sex, race, dual‐eligibility status, number of comorbid conditions, geographic region, and reason for entitlement. Of note, beneficiaries with 10 or more chronic conditions were more than 6 times more likely, and beneficiaries with 5 to 9 chronic conditions were more than 2.5 times more likely, to be readmitted than beneficiaries with 1 to 4 chronic conditions.
| Variable | Estimate | 95% Confidence Limits |
|---|---|---|
| ||
| Age 144 years | 1.634 | 1.5071.771 |
| Age 4564 years | 1.231 | 1.1421.327 |
| Age 7584 years | 1.048 | 1.0271.069 |
| Age 85+ years | 1.141 | 1.1151.168 |
| Age 6574 years | REF | |
| Male | 1.201 | 1.1831.220 |
| Black | 1.250 | 1.2211.280 |
| Other race | 1.071 | 1.0331.111 |
| White | REF | |
| Dual eligibles | 1.173 | 1.1511.195 |
| Northeast region | 1.146 | 1.1151.178 |
| Midwest region | 1.092 | 1.0631.122 |
| South region | 1.037 | 1.0111.063 |
| West region | REF | |
| 0 comorbidities | 0.255 | 0.1480.441 |
| 59 comorbidities | 2.533 | 2.4492.621 |
| 10+ comorbidities | 6.119 | 5.9136.332 |
| 14 comorbidities | REF | |
| Disabled | 0.817 | 0.7570.880 |
| ESRD | 1.327 | 1.2231.440 |
| Age >64 years | REF | |
DISCUSSION
The most interesting finding is that beneficiaries with 10 or more chronic conditions were more than 6 times more likely to be readmitted than beneficiaries with 1 to 4 chronic conditions. Beneficiaries with 10 or more chronic conditions represent only 8.9% of all Medicare beneficiaries (31.0% of all hospitalizations), but they were responsible for 50.2% of all readmissions. The 31.8% of beneficiaries with 5 to 9 chronic conditions (55.5% of all hospitalizations) had the second highest odds ratio (2.5) and were responsible for 45% of all readmissions. The 59.3% of beneficiaries with 5 comorbidities (13.6% of all hospitalizations) were associated with only 4.7% of all readmissions. This strongly suggests that hospitals focus their attention on beneficiaries with 10 or more comorbidities. These results were despite correction for DRG diagnosis in the model.
We recognize that the number of chronic conditions is a crude measure of health status because it weighs hundreds of different clinical conditions equally; however, it seems a good proxy for 3 closely allied concepts: (1) the overall burden of chronic illness carried by the patient, (2) the patient's level of engagement with the healthcare system (including number of unique providers), and (3) the number of conditions being treated. By providing a 1‐year window of a patient's health status, it is a more complete picture than any single hospital claim submission or indices based solely on hospital discharge data.
The other variables are less predictive of 30‐day readmissions. Beneficiaries over 85 years old are only 14% more likely, whereas disabled Medicare beneficiaries 44 years old are 63% more likely to be readmitted than beneficiaries between 65 and 74 years old. Men are 20% more likely to be readmitted than women. Black race and dual‐eligibility slightly increase rates of readmission. Beneficiaries located in the West have the lowest readmission rates. In comparison to those who are aged, those with end‐stage renal disease (ESRD) have a higher rate of readmission, and those with a disability have a lower rate of readmission. In considering the age and reason for entitlement findings, one would assume that ESRD was the driver of higher readmission rates in the younger Medicare population.
CMS will need to analyze which hospitals have higher than expected readmission rates, and this will require risk adjustment at each hospital. In addition to the number of chronic conditions and other variables shown in Table 1, other factors CMS might want to include when it starts doing readmissions for all discharges is the discharge diagnosis (because our results suggest there are significant differences in the probability of a readmission across DRGs). In addition, CMS will need to consider how to capture additional data not currently in the claims data, such as social factors like homelessness.
We recognize significant limitations to these findings. First, this analysis uses only information that is available from Medicare claims and administrative data. Claims give almost no information on how well the hospital planned the discharge, instructed the patient and family, or engaged follow‐up providers. Also, claims data tell us virtually nothing about a patient's health literacy or social situation. Second, the analysis relies on claims data, but this has little clinical detail. Third, these data are limited to persons enrolled in fee‐for‐service Medicare. Fourth, we included all readmissions, including some readmissions (such as chemotherapy and staged percutaneous coronary interventions) that were part of a planned treatment protocol.[10] Fifth, we were unable to distinguish same‐day readmissions versus transfers, and therefore excluded all same‐day readmissions from measurement.
As hospitals and physicians begin to plan for the regulations that will penalize hospitals with high readmission rates, they will need to strongly consider targeting beneficiaries with more than 10 chronic conditions.
Acknowledgments
The Commonwealth Fund provided a grant to Dr. Anderson to help support this work. The authors report no conflicts of interest.
- , . Hospital readmissions in the Medicare population. N Engl J Med. 1984;311:1349–1353.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360:1418–1428.
- Patient Protection and Affordable Care Act. Section 3025. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed April 8, 2013.
- Congressional Budget Office.Patient Protection and Affordable Care Act. Available at: http://www.cbo.gov/doc.cfm?index=10868. Accessed April 8, 2013.
- , , , et al.2012 measures maintenance technical report: acute myocardial infarction, heart failure, and pneumonia 30‐day risk‐standardized readmission measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page78:27597–27599.
- , , , , . Hospital payment based on diagnosis‐related groups differs in Europe and holds lessons for the United States. Health Aff (Millwood). 2013;32:713–723.
- , , , . Out‐of‐pocket medical spending for care of chronic conditions. Health Aff (Millwood). 2001;20:267–278.
- MEPS data documentation HC‐006: 1996 medical conditions. Pub. no. 99‐DP06. Rockville, MD: AHRQ; 1999.
- , . Planned readmissions: a potential solution. Arch Intern Med. 2012;172:269–270.
For at least 25 years, approximately 20% of Medicare fee‐for‐service discharges have been followed by a hospital readmission within 30 days.[1, 2] Section 3025 of the Patient Protection and Affordable Care Act (ACA)[3] created escalating penalties for hospitals with higher than expected 30‐day readmission rates, and the Congressional Budget Office estimated this will reduce Medicare spending by over $7 billion between 2010 and 2019.[4]
Hospitals and physicians have begun developing strategies to identify which Medicare beneficiaries are most likely to be readmitted and use this information to design programs to reduce their readmission rate. Initially, penalties will be based on readmission rates after an index discharge with heart failure, myocardial infarction, and pneumonia.[5] Recently, the Centers for Medicare and Medicaid Services (CMS) released the Inpatient Prospective Payment System FY2014 proposed rule, which proposes to add 2 new readmission penalties beginning in FY2015: readmissions for hip/knee arthroplasty and chronic obstructive pulmonary disease.[6] Other countries are already penalizing hospitals with high readmission rates; for example, Germany is penalizing all readmissions that occur within a 30‐day period following admission.[7] In this brief report, we examine the characteristics of Medicare beneficiaries most likely to be readmitted within 30 days. We focus on readmission rates for all discharge conditions and all patient readmission rates, because we believe the language in the ACA ultimately points to an all‐inclusive approach.
METHODS
We used a nationally random 5% sample of all Medicare beneficiaries for the period between January 1, 2008 and September 30, 2008. To be included, beneficiaries must have both Part A and B coverage and live within the United States. Medicare Advantage patients were excluded because Medicare Advantage plans do not report the data in the same way as fee for service. We calculated the readmission rate as the number of admissions that were preceded by an at‐risk discharge within 30 days divided by the total number of at‐risk discharges. This definition included admissions to and discharges from sole community providers, Medicare‐dependent small rural hospitals, and critical access hospitals. We counted as at risk all live discharges from short‐term acute care hospitals that were not discharged against medical advice, discharged to a rehabilitation unit within an acute care hospital, or readmitted on day 0 (due to inconsistency with use of transfer coding). We only included discharges and readmissions to acute care hospitals and excluded hospitalizations in long‐term care facilities, rehabilitation facilities, skilled nursing homes, and other non‐acute care hospital facilities from being an index hospitalization. However, if the beneficiary was discharged to 1 of these facilities and then readmitted to an acute care hospital, the readmission was counted.
Each discharge was recorded as an independent event and we reset the readmission clock for a fresh 30‐day count each time the beneficiary was discharged. We examined the admission and readmission rate to determine if the rates varied by age, gender, reason for entitlement, racial characteristics, region of the country, number of chronic conditions, and whether the beneficiary is also enrolled in Medicaid (dual eligibles). We calculated the mean readmission rate for each diagnosis‐related group (DRG) and then used the probability of having a readmission for each DRG to calculate a case mix adjustment for each hospital. To calculate the chronic illness burden, we used a previously developed methodology for counting the number of chronic disease categories reported for the patient in the preceding year (2007).[8, 9] The classification system is maintained by the Agency for Health Care Research and Quality. We then used logistic regression to calculate the odds ratio of a discharge being readmitted based on these factors. We preformed statistical analysis using SAS version 9.1.3 (SAS Institute Inc., Cary, NC).
RESULTS
There were 434,999 hospital discharges that occurred in the first 9 months of 2008 in the 5% sample. There were 20.6% of Medicare beneficiaries hospitalized, and the overall readmission rate was 19.5%. Table 1 shows the odds ratios and 95% confidence intervals for the probability that a Medicare beneficiary will be readmitted within 30 days for variables including: age, sex, race, dual‐eligibility status, number of comorbid conditions, geographic region, and reason for entitlement. Of note, beneficiaries with 10 or more chronic conditions were more than 6 times more likely, and beneficiaries with 5 to 9 chronic conditions were more than 2.5 times more likely, to be readmitted than beneficiaries with 1 to 4 chronic conditions.
| Variable | Estimate | 95% Confidence Limits |
|---|---|---|
| ||
| Age 144 years | 1.634 | 1.5071.771 |
| Age 4564 years | 1.231 | 1.1421.327 |
| Age 7584 years | 1.048 | 1.0271.069 |
| Age 85+ years | 1.141 | 1.1151.168 |
| Age 6574 years | REF | |
| Male | 1.201 | 1.1831.220 |
| Black | 1.250 | 1.2211.280 |
| Other race | 1.071 | 1.0331.111 |
| White | REF | |
| Dual eligibles | 1.173 | 1.1511.195 |
| Northeast region | 1.146 | 1.1151.178 |
| Midwest region | 1.092 | 1.0631.122 |
| South region | 1.037 | 1.0111.063 |
| West region | REF | |
| 0 comorbidities | 0.255 | 0.1480.441 |
| 59 comorbidities | 2.533 | 2.4492.621 |
| 10+ comorbidities | 6.119 | 5.9136.332 |
| 14 comorbidities | REF | |
| Disabled | 0.817 | 0.7570.880 |
| ESRD | 1.327 | 1.2231.440 |
| Age >64 years | REF | |
DISCUSSION
The most interesting finding is that beneficiaries with 10 or more chronic conditions were more than 6 times more likely to be readmitted than beneficiaries with 1 to 4 chronic conditions. Beneficiaries with 10 or more chronic conditions represent only 8.9% of all Medicare beneficiaries (31.0% of all hospitalizations), but they were responsible for 50.2% of all readmissions. The 31.8% of beneficiaries with 5 to 9 chronic conditions (55.5% of all hospitalizations) had the second highest odds ratio (2.5) and were responsible for 45% of all readmissions. The 59.3% of beneficiaries with 5 comorbidities (13.6% of all hospitalizations) were associated with only 4.7% of all readmissions. This strongly suggests that hospitals focus their attention on beneficiaries with 10 or more comorbidities. These results were despite correction for DRG diagnosis in the model.
We recognize that the number of chronic conditions is a crude measure of health status because it weighs hundreds of different clinical conditions equally; however, it seems a good proxy for 3 closely allied concepts: (1) the overall burden of chronic illness carried by the patient, (2) the patient's level of engagement with the healthcare system (including number of unique providers), and (3) the number of conditions being treated. By providing a 1‐year window of a patient's health status, it is a more complete picture than any single hospital claim submission or indices based solely on hospital discharge data.
The other variables are less predictive of 30‐day readmissions. Beneficiaries over 85 years old are only 14% more likely, whereas disabled Medicare beneficiaries 44 years old are 63% more likely to be readmitted than beneficiaries between 65 and 74 years old. Men are 20% more likely to be readmitted than women. Black race and dual‐eligibility slightly increase rates of readmission. Beneficiaries located in the West have the lowest readmission rates. In comparison to those who are aged, those with end‐stage renal disease (ESRD) have a higher rate of readmission, and those with a disability have a lower rate of readmission. In considering the age and reason for entitlement findings, one would assume that ESRD was the driver of higher readmission rates in the younger Medicare population.
CMS will need to analyze which hospitals have higher than expected readmission rates, and this will require risk adjustment at each hospital. In addition to the number of chronic conditions and other variables shown in Table 1, other factors CMS might want to include when it starts doing readmissions for all discharges is the discharge diagnosis (because our results suggest there are significant differences in the probability of a readmission across DRGs). In addition, CMS will need to consider how to capture additional data not currently in the claims data, such as social factors like homelessness.
We recognize significant limitations to these findings. First, this analysis uses only information that is available from Medicare claims and administrative data. Claims give almost no information on how well the hospital planned the discharge, instructed the patient and family, or engaged follow‐up providers. Also, claims data tell us virtually nothing about a patient's health literacy or social situation. Second, the analysis relies on claims data, but this has little clinical detail. Third, these data are limited to persons enrolled in fee‐for‐service Medicare. Fourth, we included all readmissions, including some readmissions (such as chemotherapy and staged percutaneous coronary interventions) that were part of a planned treatment protocol.[10] Fifth, we were unable to distinguish same‐day readmissions versus transfers, and therefore excluded all same‐day readmissions from measurement.
As hospitals and physicians begin to plan for the regulations that will penalize hospitals with high readmission rates, they will need to strongly consider targeting beneficiaries with more than 10 chronic conditions.
Acknowledgments
The Commonwealth Fund provided a grant to Dr. Anderson to help support this work. The authors report no conflicts of interest.
For at least 25 years, approximately 20% of Medicare fee‐for‐service discharges have been followed by a hospital readmission within 30 days.[1, 2] Section 3025 of the Patient Protection and Affordable Care Act (ACA)[3] created escalating penalties for hospitals with higher than expected 30‐day readmission rates, and the Congressional Budget Office estimated this will reduce Medicare spending by over $7 billion between 2010 and 2019.[4]
Hospitals and physicians have begun developing strategies to identify which Medicare beneficiaries are most likely to be readmitted and use this information to design programs to reduce their readmission rate. Initially, penalties will be based on readmission rates after an index discharge with heart failure, myocardial infarction, and pneumonia.[5] Recently, the Centers for Medicare and Medicaid Services (CMS) released the Inpatient Prospective Payment System FY2014 proposed rule, which proposes to add 2 new readmission penalties beginning in FY2015: readmissions for hip/knee arthroplasty and chronic obstructive pulmonary disease.[6] Other countries are already penalizing hospitals with high readmission rates; for example, Germany is penalizing all readmissions that occur within a 30‐day period following admission.[7] In this brief report, we examine the characteristics of Medicare beneficiaries most likely to be readmitted within 30 days. We focus on readmission rates for all discharge conditions and all patient readmission rates, because we believe the language in the ACA ultimately points to an all‐inclusive approach.
METHODS
We used a nationally random 5% sample of all Medicare beneficiaries for the period between January 1, 2008 and September 30, 2008. To be included, beneficiaries must have both Part A and B coverage and live within the United States. Medicare Advantage patients were excluded because Medicare Advantage plans do not report the data in the same way as fee for service. We calculated the readmission rate as the number of admissions that were preceded by an at‐risk discharge within 30 days divided by the total number of at‐risk discharges. This definition included admissions to and discharges from sole community providers, Medicare‐dependent small rural hospitals, and critical access hospitals. We counted as at risk all live discharges from short‐term acute care hospitals that were not discharged against medical advice, discharged to a rehabilitation unit within an acute care hospital, or readmitted on day 0 (due to inconsistency with use of transfer coding). We only included discharges and readmissions to acute care hospitals and excluded hospitalizations in long‐term care facilities, rehabilitation facilities, skilled nursing homes, and other non‐acute care hospital facilities from being an index hospitalization. However, if the beneficiary was discharged to 1 of these facilities and then readmitted to an acute care hospital, the readmission was counted.
Each discharge was recorded as an independent event and we reset the readmission clock for a fresh 30‐day count each time the beneficiary was discharged. We examined the admission and readmission rate to determine if the rates varied by age, gender, reason for entitlement, racial characteristics, region of the country, number of chronic conditions, and whether the beneficiary is also enrolled in Medicaid (dual eligibles). We calculated the mean readmission rate for each diagnosis‐related group (DRG) and then used the probability of having a readmission for each DRG to calculate a case mix adjustment for each hospital. To calculate the chronic illness burden, we used a previously developed methodology for counting the number of chronic disease categories reported for the patient in the preceding year (2007).[8, 9] The classification system is maintained by the Agency for Health Care Research and Quality. We then used logistic regression to calculate the odds ratio of a discharge being readmitted based on these factors. We preformed statistical analysis using SAS version 9.1.3 (SAS Institute Inc., Cary, NC).
RESULTS
There were 434,999 hospital discharges that occurred in the first 9 months of 2008 in the 5% sample. There were 20.6% of Medicare beneficiaries hospitalized, and the overall readmission rate was 19.5%. Table 1 shows the odds ratios and 95% confidence intervals for the probability that a Medicare beneficiary will be readmitted within 30 days for variables including: age, sex, race, dual‐eligibility status, number of comorbid conditions, geographic region, and reason for entitlement. Of note, beneficiaries with 10 or more chronic conditions were more than 6 times more likely, and beneficiaries with 5 to 9 chronic conditions were more than 2.5 times more likely, to be readmitted than beneficiaries with 1 to 4 chronic conditions.
| Variable | Estimate | 95% Confidence Limits |
|---|---|---|
| ||
| Age 144 years | 1.634 | 1.5071.771 |
| Age 4564 years | 1.231 | 1.1421.327 |
| Age 7584 years | 1.048 | 1.0271.069 |
| Age 85+ years | 1.141 | 1.1151.168 |
| Age 6574 years | REF | |
| Male | 1.201 | 1.1831.220 |
| Black | 1.250 | 1.2211.280 |
| Other race | 1.071 | 1.0331.111 |
| White | REF | |
| Dual eligibles | 1.173 | 1.1511.195 |
| Northeast region | 1.146 | 1.1151.178 |
| Midwest region | 1.092 | 1.0631.122 |
| South region | 1.037 | 1.0111.063 |
| West region | REF | |
| 0 comorbidities | 0.255 | 0.1480.441 |
| 59 comorbidities | 2.533 | 2.4492.621 |
| 10+ comorbidities | 6.119 | 5.9136.332 |
| 14 comorbidities | REF | |
| Disabled | 0.817 | 0.7570.880 |
| ESRD | 1.327 | 1.2231.440 |
| Age >64 years | REF | |
DISCUSSION
The most interesting finding is that beneficiaries with 10 or more chronic conditions were more than 6 times more likely to be readmitted than beneficiaries with 1 to 4 chronic conditions. Beneficiaries with 10 or more chronic conditions represent only 8.9% of all Medicare beneficiaries (31.0% of all hospitalizations), but they were responsible for 50.2% of all readmissions. The 31.8% of beneficiaries with 5 to 9 chronic conditions (55.5% of all hospitalizations) had the second highest odds ratio (2.5) and were responsible for 45% of all readmissions. The 59.3% of beneficiaries with 5 comorbidities (13.6% of all hospitalizations) were associated with only 4.7% of all readmissions. This strongly suggests that hospitals focus their attention on beneficiaries with 10 or more comorbidities. These results were despite correction for DRG diagnosis in the model.
We recognize that the number of chronic conditions is a crude measure of health status because it weighs hundreds of different clinical conditions equally; however, it seems a good proxy for 3 closely allied concepts: (1) the overall burden of chronic illness carried by the patient, (2) the patient's level of engagement with the healthcare system (including number of unique providers), and (3) the number of conditions being treated. By providing a 1‐year window of a patient's health status, it is a more complete picture than any single hospital claim submission or indices based solely on hospital discharge data.
The other variables are less predictive of 30‐day readmissions. Beneficiaries over 85 years old are only 14% more likely, whereas disabled Medicare beneficiaries 44 years old are 63% more likely to be readmitted than beneficiaries between 65 and 74 years old. Men are 20% more likely to be readmitted than women. Black race and dual‐eligibility slightly increase rates of readmission. Beneficiaries located in the West have the lowest readmission rates. In comparison to those who are aged, those with end‐stage renal disease (ESRD) have a higher rate of readmission, and those with a disability have a lower rate of readmission. In considering the age and reason for entitlement findings, one would assume that ESRD was the driver of higher readmission rates in the younger Medicare population.
CMS will need to analyze which hospitals have higher than expected readmission rates, and this will require risk adjustment at each hospital. In addition to the number of chronic conditions and other variables shown in Table 1, other factors CMS might want to include when it starts doing readmissions for all discharges is the discharge diagnosis (because our results suggest there are significant differences in the probability of a readmission across DRGs). In addition, CMS will need to consider how to capture additional data not currently in the claims data, such as social factors like homelessness.
We recognize significant limitations to these findings. First, this analysis uses only information that is available from Medicare claims and administrative data. Claims give almost no information on how well the hospital planned the discharge, instructed the patient and family, or engaged follow‐up providers. Also, claims data tell us virtually nothing about a patient's health literacy or social situation. Second, the analysis relies on claims data, but this has little clinical detail. Third, these data are limited to persons enrolled in fee‐for‐service Medicare. Fourth, we included all readmissions, including some readmissions (such as chemotherapy and staged percutaneous coronary interventions) that were part of a planned treatment protocol.[10] Fifth, we were unable to distinguish same‐day readmissions versus transfers, and therefore excluded all same‐day readmissions from measurement.
As hospitals and physicians begin to plan for the regulations that will penalize hospitals with high readmission rates, they will need to strongly consider targeting beneficiaries with more than 10 chronic conditions.
Acknowledgments
The Commonwealth Fund provided a grant to Dr. Anderson to help support this work. The authors report no conflicts of interest.
- , . Hospital readmissions in the Medicare population. N Engl J Med. 1984;311:1349–1353.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360:1418–1428.
- Patient Protection and Affordable Care Act. Section 3025. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed April 8, 2013.
- Congressional Budget Office.Patient Protection and Affordable Care Act. Available at: http://www.cbo.gov/doc.cfm?index=10868. Accessed April 8, 2013.
- , , , et al.2012 measures maintenance technical report: acute myocardial infarction, heart failure, and pneumonia 30‐day risk‐standardized readmission measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page78:27597–27599.
- , , , , . Hospital payment based on diagnosis‐related groups differs in Europe and holds lessons for the United States. Health Aff (Millwood). 2013;32:713–723.
- , , , . Out‐of‐pocket medical spending for care of chronic conditions. Health Aff (Millwood). 2001;20:267–278.
- MEPS data documentation HC‐006: 1996 medical conditions. Pub. no. 99‐DP06. Rockville, MD: AHRQ; 1999.
- , . Planned readmissions: a potential solution. Arch Intern Med. 2012;172:269–270.
- , . Hospital readmissions in the Medicare population. N Engl J Med. 1984;311:1349–1353.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360:1418–1428.
- Patient Protection and Affordable Care Act. Section 3025. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed April 8, 2013.
- Congressional Budget Office.Patient Protection and Affordable Care Act. Available at: http://www.cbo.gov/doc.cfm?index=10868. Accessed April 8, 2013.
- , , , et al.2012 measures maintenance technical report: acute myocardial infarction, heart failure, and pneumonia 30‐day risk‐standardized readmission measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page78:27597–27599.
- , , , , . Hospital payment based on diagnosis‐related groups differs in Europe and holds lessons for the United States. Health Aff (Millwood). 2013;32:713–723.
- , , , . Out‐of‐pocket medical spending for care of chronic conditions. Health Aff (Millwood). 2001;20:267–278.
- MEPS data documentation HC‐006: 1996 medical conditions. Pub. no. 99‐DP06. Rockville, MD: AHRQ; 1999.
- , . Planned readmissions: a potential solution. Arch Intern Med. 2012;172:269–270.
Dear Doctor: A Patient‐Centered Tool
In their seminal report Crossing the Quality Chasm, the Institute of Medicine outlined patient‐centered care as 1 of its 6 aims to improve the healthcare delivery system.[1] Patients who are more involved in their diagnosis and treatment plan are more likely to feel respected, be satisfied with their healthcare experience, and ultimately have better outcomes.[2, 3] In a study of hospitalized patients, only 42% were able to state their diagnosis at the time of discharge, suggesting that hospital providers could communicate better with patients about their hospital care.[4] Additionally, only 28% of hospitalized patients were able to list their medications, and only 37% were able to state the purpose of their medications. Although hospitals have taken great strides to improve the quality of patient care, publicly reported patient care surveys, such as the Hospital Consumer Assessment of Hospitals and Health Systems (HCAHPS), suggest that physician communication with patients could be further improved.[1, 5] Furthermore, a recent report by the Institute of Medicine stresses the need to get patients and families involved in their care.[6] Thus, hospital‐based providers should seek to enhance the quality of their communication with patients.
With greater emphasis placed on patient‐ and family‐centered care at many health systems, simple and easy‐to‐implement strategies to improve communication with patients need to be developed and tested.[7, 8] Patients who actively participate in their healthcare by asking questions of their doctor are able to control the focus of their interaction and adjust the amount of information provided.[9] Simply asking questions can have a critical impact, as 1 study found that the frequency with which patients asked questions was significantly related to the amount of information received about general and specific medical matters.[10] The notepad is a common tool for reminders and personal interactions that is used in everyday life, but has not been formalized in the hospital. We introduced Dear Doctor (DD) notes, a bedside notepad designed to prompt patient questions, with the goal of facilitating patient communication with their hospitalist physicians (Figure 1). As hospitalists provide direct and indirect care to a growing number of hospitalized patients, they are likely to be asked questions and opinions about the patients' diagnoses and plans. Furthermore, hospitalists are poised to lead institutional quality, safety, efficiency, and service improvement efforts in the inpatient setting. Becoming familiar with communication‐enhancing tools, such as the DD notes, may help hospitalists in their improvement team roles.
METHODS
Setting
We conducted a study between July 2009 and September 2009 on inpatient medical wards at a large academic medical center with 610 beds and over 44,000 annual discharges.[11] The internal medicine services served by attending physicians and residents comprise a large proportion of hospitalized patients, accounting for over 17,000 discharges per year. Each medical unit includes 32 beds.
Population
Patients over the age of 18 years admitted to a general medicine or cardiology unit and who were able to verbally communicate in English were eligible to be surveyed in the study. Patients with a length of stay <24 hours were excluded. A total of 664 patients were surveyed for inclusion in the study, 440 patients in the intervention group and 224 patients in the control group.
Intervention
The DD notepad included sample questions and informational prompts derived with input from a community focus group. The community focus group consisted of current and formerly hospitalized patients and family members who were asked by members of the study group what they thought would be important to include on a notepad provided to patients. From their answers the study team developed the DD notepad prototype. The DD notepad included 3 general categories of questions: (1) diagnosis and treatment, (2) tests and procedures, and (3) medications. To address other miscellaneous topics such as discharge and posthospital care needs, a section was designated for the patient to check off as I have a few more questions (Use the back of the sheet).
All patients admitted to the study units were intended to receive the DD notepad and pen, which were placed on the bedside table during the room change by our custodial staff. Patients who did not receive DD notepads in the intervention group during their first hospitalization day were provided with 1 by the clinical assistants working with the hospitalists. These patients did not initially receive the notepad due to logistical reasons from temporary rotating staff who were not instructed to provide the notepads. Patients were not formally prompted to use the notepad. Hospitalists, residents, and nurses on the study units were informed about the distribution of DD notes to patients on these units; however, they were not provided with any specific instructions on how they should incorporate the DD notes into their interactions with their patients. The use of the DD notepad was left to each healthcare professional's own discretion.
Members of the study team surveyed patients who had been in the hospital for a minimum of 24 hours in the intervention and control groups twice weekly. All responses were deidentified of any personal or health information. Patients were asked to rate on a scale from 1 to 5 their use of the DD notepads, their perceived value, the circumstances in which the notepads were used, and their level of satisfaction with how their physicians communicated and answered their questions (1 = no improvement, 5 = significant improvement). For control patients, questions pertaining to DD notepads were not applicable and were therefore excluded.
Statistical Analysis
The data were analyzed in an intention‐to‐treat analysis of all 440 patients in the intervention group. Intervention and control groups were compared using 2, rank sum, and Fisher exact statistical tests, with significance assigned as P < 0.05, using SPSS software version 17.0 (SPSS, Inc., Chicago, IL). Our project was approved by the University of Michigan's institutional review board.
RESULTS
Of the 440 patients surveyed in the intervention group (1 general medicine and 1 cardiology unit), 343 (78%) received the notepads in their rooms and 207 (47%) used them (Figure 2). Not every patient in the intervention group received DD notepads due to inconsistent placement of DD notepads upon every room turnover. Of the patients admitted to the control group (1 general medicine and 1 cardiology unit), 224 were surveyed. Fifty‐four percent of the 440 patients in the intervention group reported that they took notes related to their hospital care, compared to only 22% of the 224 patients in the control group (P < 0.001). Of the patients who took notes within the intervention group (n = 207), 91% of them utilized the DD notepads.
Patients in the intervention group who received and used the DD notes (n = 207) compared to patients in the control group (n = 224) were more likely to report that their questions were answered by their physicians (4.63 vs 4.45, P < 0.001). In an intention‐to‐treat analysis of all 440 patients in the intervention group, the overall satisfaction with physician communication was not significantly different between the intervention and control groups as measured on a 5‐point Likert scale (4.55 vs 4.55, P = 0.89). However, 89% of the patients in the intervention group who used the notepads felt that DD notepads either moderately or significantly improved their communication with their providers (Figure 3).
When the 207 patients who received DD notepads were asked how they used this tool, 99% of these patients used DD to write down questions, 82% to keep track of tests and procedures, and 54% indicated that their family and friends also used the notepads during the hospital stay (Table 1). Among these patients who utilized the DD notepads, 93% reported that they would use them again in the future.
| Wrote Notes? (P < 0.001) (%) | Used DD? (%) | Use in Future? (%) | Frequency of Questions Answered (P < 0.001) | DD Improved Communication | Satisfied With Communication? (P = 0.89) | |
|---|---|---|---|---|---|---|
| ||||||
| Intervention (n = 440) | 54 | 91 | 93.2 | 4.63 | 3.76 | 4.55 |
| Control (n = 224) | 22 | 4.45 | 4.55 | |||
Of the 97 patients in the intervention group who did not receive a DD notepad, we asked if they would use the DD notepad if they were made aware of such a tool. Of these patients, 77% agreed that they would use DD notes if they were made available in the future, 100% of them said that they would use DD to write down questions, 97% indicated that they would write notes about tests and procedures, and 88% of them believed that their families and friends would use DD notes.
DISCUSSION
As hospitals place greater emphasis and value on patient‐centered care as part of their clinical mission, it is important to develop tools to help facilitate the doctor‐patient relationship. We found that patients who were provided the Dear Doctor notepad were more satisfied that their doctors answered their questions and felt this tool enhanced their ability to communicate with their physicians. Employing the use of a familiar tool such as the notepad to remind patients about specific issues in their interactions with their providers can be a powerful intervention. Our study demonstrated that the DD notepad was widely accepted by patients, and that almost all of them would use this tool if it were made available to them in the future.
Other tools and methods to enhance the quality of communication between patients and their healthcare providers have included using whiteboards in the patients' rooms to relay the care plan to the patients, implementing bedside rounds by the healthcare team, and multidisciplinary huddling to coordinate information to the patient.[12, 13] Studies of these communication tools have shown potential to improve teamwork, interaction, and patient care. All of these have their own merit and value, and our DD notepad should be considered an adjunct to existing methods to enhance the patient care experience. A bedside tool that is familiar in form to most patients also needs to have the feature of easy access and use. Once this barrier has been removed for the patient and their family members, tools such as the DD notepad can impact the patient‐centeredness by fostering increased and better quality dialogue between the patients, their family members, and healthcare providers.
The DD notepad represents a means of communication that may have the potential to empower patients. It is possible that through question prompts, the DD notepad stimulates the patient to be an active partner with his or her healthcare team. This may enable patients to have some sense of control and accountability of their care in a setting where they would otherwise feel overwhelmed or powerless. The 3 general categories to help patients write down their questions included diagnosis, treatment plan, and medications. In the inpatient setting, where patient‐care activities can be fast paced, and patients are unable to recall some details when speaking to the healthcare team, these notes may remind the patient to write their thoughts down so that they may be remembered for a future time. In situations where patients may not know which questions to ask, the question prompts may be particularly helpful. We did not assess whether our particular question prompts were the key elements that resulted in their perceived value, or whether simply placing a blank notepad at the bedside would also have been successful. However, the specific questions were suggested by the focus groups. Enhanced communication, focusing on the patients' understanding of their condition, and the need to pursue certain diagnostic or therapeutic interventions, may help patients to be better prepared for the next course of plan. These topics of reasons for hospitalization, treatment plan, and medication changes are also important for patients to be active participants in their care, in particular as they transition from 1 site of care to the next, and their healthcare will be delivered by different providers.
There are several limitations to our study. First, this intervention was performed at a single hospital site with only 2 clinical services (general medicine, cardiology) represented in the study groups. Although we do not have any causal reasons to believe this tool would be looked upon differently by patients on other clinical services, it is possible that patients on a different clinical unit or service may view this tool as less or more useful. Second, as the patients were not randomized to intervention, but rather based on the units to which they were admitted, it is possible that other variables, such as the experience of the unit staff, the patient's condition, and housestaff‐based service versus hospitalist‐based service may have played a role in how the patients perceived the use of DD notes. Third, patients were only surveyed if they were able to verbally communicate in English. These notes may not be as useful in hospital settings to populations with language or literacy barriers. Fourth, the logistical implementation of DD notes limited our ability to deliver the DD notepads in every patient's rooms, where only 78% of the intervention group received the DD notepads. This may be the reason that we did not find that overall satisfaction with physician communication differed between intervention and control groups. Nonetheless, we performed an intention‐to‐treat analysis to minimize any biases in our analysis. Last, although our survey of patients asked about their satisfaction in using the DD note pads, we did not compare these results with those of Press‐Ganey or HCAHPS scores of patients on the intervention group versus the control group. Additionally, lack of data about type, quality, and quantity of questions asked by a control group to see if the notepads actually improved quality of questions asked is a limitation; however, we believe our outcomes of interest were most specifically evaluated through our survey questions.
DD notes show that the majority of patients who use this tool feel a modest to significant improvement in communication with their providers. Although the quality of medical care is undoubtedly the first priority, the patients' view of their care, which includes communication, is arguably just as important. An often‐forgotten goal of hospitals and clinics is to provide service excellence along with high‐quality care. Thus, it is imperative for hospitals and their care providers to not only focus on the quality and safety of the clinical care, but also be mindful of the patient's entire experience throughout their hospital stay. Many of the categories of questions asked in the HCAHPS address the patient's experience and perspectives of hospital care. Furthermore, the role of the HCAHPS survey in the Value‐Based Purchasing rules may enhance the importance of these notepads. As the results of HCAHPS are becoming more transparent and available to the public, the impact of such results will have a greater significance to the future of the hospital's clinical mission.
CONCLUSION
DD notepads are a simple, low‐cost, patient‐centered tool that can be an effective reminder for patients to ask their healthcare providers questions related to their hospital care. Utilizing a common tool such as the notepad, redesigned for the healthcare setting, can serve to help healthcare providers interact with their patients. Patient satisfaction may be higher in patients who use the DD notepad.
Disclosures: Aaron S. Farberg, MD, and Andrew M. Lin, MD, contributed equally in every way and should be considered co‐first authors. This work was supported by a University of Michigan Fostering Innovations Grant. The authors have no conflicting financial interests.
- Committee on Quality of Health Care in America, Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
- , , , . An evidence base for patient‐centered cancer care: a meta‐analysis of studies of observed communication between cancer specialists and their patients. Patient Educ Couns. 2009;77(3):379–383.
- . Effective physician‐patient communication and health outcomes: a review. Can Med Assoc J. 1995;152:1423–1433.
- , . Patients' understanding of their treatment plans and diagnosis at discharge. Mayo Clin Proc. 2005;80(8):991–994.
- , , , . Patients' perception of hospital care in the United States. N Engl J Med. 2008;359:1921–1931.
- Institute of Medicine of the National Academies.Best care at lower cost: the path to continuously learning health care in America. Available at: http://www.iom.edu/Reports/2012/Best‐Care‐at‐Lower‐Cost‐The‐Path‐to‐Continuously‐Learning‐Health‐Care‐in‐America.aspx. Accessed October 5, 2012.
- , . An introduction to technology for patient‐centered collaborative care. J Ambul Care Manage. 2006;29:195–198.
- , , , , , . Effect on health‐related outcome of interventions to alter the interaction between patients and practitioners: a systematic review of trials. Ann Fam Med. 2004;2(6):595–608
- , , , , . Characteristics of physicians with participatory decision‐making styles. Ann Intern Med. 1996;124(5):497–504.
- . Information‐giving consultations: the influence of patients' communicative styles and personal characteristics. Soc Sci Med. 1991:32(5):541–548.
- University of Michigan Health System.Patient care and University of Michigan Health System. Available at: http://www.uofmhealth.org/about%2Bumhs/about‐clinical‐care. Accessed August 31, 2012.
- , , , et al. It's the writing on the wall: whiteboards improve inpatient satisfaction with provider communication. Am J Med Qual. 2011;26(2):127–131
- , , , , . Patient whiteboards as a communication tool in the hospital setting: a survey of practices and recommendations. J Hosp Med. 2010;5(4):234–239.
In their seminal report Crossing the Quality Chasm, the Institute of Medicine outlined patient‐centered care as 1 of its 6 aims to improve the healthcare delivery system.[1] Patients who are more involved in their diagnosis and treatment plan are more likely to feel respected, be satisfied with their healthcare experience, and ultimately have better outcomes.[2, 3] In a study of hospitalized patients, only 42% were able to state their diagnosis at the time of discharge, suggesting that hospital providers could communicate better with patients about their hospital care.[4] Additionally, only 28% of hospitalized patients were able to list their medications, and only 37% were able to state the purpose of their medications. Although hospitals have taken great strides to improve the quality of patient care, publicly reported patient care surveys, such as the Hospital Consumer Assessment of Hospitals and Health Systems (HCAHPS), suggest that physician communication with patients could be further improved.[1, 5] Furthermore, a recent report by the Institute of Medicine stresses the need to get patients and families involved in their care.[6] Thus, hospital‐based providers should seek to enhance the quality of their communication with patients.
With greater emphasis placed on patient‐ and family‐centered care at many health systems, simple and easy‐to‐implement strategies to improve communication with patients need to be developed and tested.[7, 8] Patients who actively participate in their healthcare by asking questions of their doctor are able to control the focus of their interaction and adjust the amount of information provided.[9] Simply asking questions can have a critical impact, as 1 study found that the frequency with which patients asked questions was significantly related to the amount of information received about general and specific medical matters.[10] The notepad is a common tool for reminders and personal interactions that is used in everyday life, but has not been formalized in the hospital. We introduced Dear Doctor (DD) notes, a bedside notepad designed to prompt patient questions, with the goal of facilitating patient communication with their hospitalist physicians (Figure 1). As hospitalists provide direct and indirect care to a growing number of hospitalized patients, they are likely to be asked questions and opinions about the patients' diagnoses and plans. Furthermore, hospitalists are poised to lead institutional quality, safety, efficiency, and service improvement efforts in the inpatient setting. Becoming familiar with communication‐enhancing tools, such as the DD notes, may help hospitalists in their improvement team roles.
METHODS
Setting
We conducted a study between July 2009 and September 2009 on inpatient medical wards at a large academic medical center with 610 beds and over 44,000 annual discharges.[11] The internal medicine services served by attending physicians and residents comprise a large proportion of hospitalized patients, accounting for over 17,000 discharges per year. Each medical unit includes 32 beds.
Population
Patients over the age of 18 years admitted to a general medicine or cardiology unit and who were able to verbally communicate in English were eligible to be surveyed in the study. Patients with a length of stay <24 hours were excluded. A total of 664 patients were surveyed for inclusion in the study, 440 patients in the intervention group and 224 patients in the control group.
Intervention
The DD notepad included sample questions and informational prompts derived with input from a community focus group. The community focus group consisted of current and formerly hospitalized patients and family members who were asked by members of the study group what they thought would be important to include on a notepad provided to patients. From their answers the study team developed the DD notepad prototype. The DD notepad included 3 general categories of questions: (1) diagnosis and treatment, (2) tests and procedures, and (3) medications. To address other miscellaneous topics such as discharge and posthospital care needs, a section was designated for the patient to check off as I have a few more questions (Use the back of the sheet).
All patients admitted to the study units were intended to receive the DD notepad and pen, which were placed on the bedside table during the room change by our custodial staff. Patients who did not receive DD notepads in the intervention group during their first hospitalization day were provided with 1 by the clinical assistants working with the hospitalists. These patients did not initially receive the notepad due to logistical reasons from temporary rotating staff who were not instructed to provide the notepads. Patients were not formally prompted to use the notepad. Hospitalists, residents, and nurses on the study units were informed about the distribution of DD notes to patients on these units; however, they were not provided with any specific instructions on how they should incorporate the DD notes into their interactions with their patients. The use of the DD notepad was left to each healthcare professional's own discretion.
Members of the study team surveyed patients who had been in the hospital for a minimum of 24 hours in the intervention and control groups twice weekly. All responses were deidentified of any personal or health information. Patients were asked to rate on a scale from 1 to 5 their use of the DD notepads, their perceived value, the circumstances in which the notepads were used, and their level of satisfaction with how their physicians communicated and answered their questions (1 = no improvement, 5 = significant improvement). For control patients, questions pertaining to DD notepads were not applicable and were therefore excluded.
Statistical Analysis
The data were analyzed in an intention‐to‐treat analysis of all 440 patients in the intervention group. Intervention and control groups were compared using 2, rank sum, and Fisher exact statistical tests, with significance assigned as P < 0.05, using SPSS software version 17.0 (SPSS, Inc., Chicago, IL). Our project was approved by the University of Michigan's institutional review board.
RESULTS
Of the 440 patients surveyed in the intervention group (1 general medicine and 1 cardiology unit), 343 (78%) received the notepads in their rooms and 207 (47%) used them (Figure 2). Not every patient in the intervention group received DD notepads due to inconsistent placement of DD notepads upon every room turnover. Of the patients admitted to the control group (1 general medicine and 1 cardiology unit), 224 were surveyed. Fifty‐four percent of the 440 patients in the intervention group reported that they took notes related to their hospital care, compared to only 22% of the 224 patients in the control group (P < 0.001). Of the patients who took notes within the intervention group (n = 207), 91% of them utilized the DD notepads.
Patients in the intervention group who received and used the DD notes (n = 207) compared to patients in the control group (n = 224) were more likely to report that their questions were answered by their physicians (4.63 vs 4.45, P < 0.001). In an intention‐to‐treat analysis of all 440 patients in the intervention group, the overall satisfaction with physician communication was not significantly different between the intervention and control groups as measured on a 5‐point Likert scale (4.55 vs 4.55, P = 0.89). However, 89% of the patients in the intervention group who used the notepads felt that DD notepads either moderately or significantly improved their communication with their providers (Figure 3).
When the 207 patients who received DD notepads were asked how they used this tool, 99% of these patients used DD to write down questions, 82% to keep track of tests and procedures, and 54% indicated that their family and friends also used the notepads during the hospital stay (Table 1). Among these patients who utilized the DD notepads, 93% reported that they would use them again in the future.
| Wrote Notes? (P < 0.001) (%) | Used DD? (%) | Use in Future? (%) | Frequency of Questions Answered (P < 0.001) | DD Improved Communication | Satisfied With Communication? (P = 0.89) | |
|---|---|---|---|---|---|---|
| ||||||
| Intervention (n = 440) | 54 | 91 | 93.2 | 4.63 | 3.76 | 4.55 |
| Control (n = 224) | 22 | 4.45 | 4.55 | |||
Of the 97 patients in the intervention group who did not receive a DD notepad, we asked if they would use the DD notepad if they were made aware of such a tool. Of these patients, 77% agreed that they would use DD notes if they were made available in the future, 100% of them said that they would use DD to write down questions, 97% indicated that they would write notes about tests and procedures, and 88% of them believed that their families and friends would use DD notes.
DISCUSSION
As hospitals place greater emphasis and value on patient‐centered care as part of their clinical mission, it is important to develop tools to help facilitate the doctor‐patient relationship. We found that patients who were provided the Dear Doctor notepad were more satisfied that their doctors answered their questions and felt this tool enhanced their ability to communicate with their physicians. Employing the use of a familiar tool such as the notepad to remind patients about specific issues in their interactions with their providers can be a powerful intervention. Our study demonstrated that the DD notepad was widely accepted by patients, and that almost all of them would use this tool if it were made available to them in the future.
Other tools and methods to enhance the quality of communication between patients and their healthcare providers have included using whiteboards in the patients' rooms to relay the care plan to the patients, implementing bedside rounds by the healthcare team, and multidisciplinary huddling to coordinate information to the patient.[12, 13] Studies of these communication tools have shown potential to improve teamwork, interaction, and patient care. All of these have their own merit and value, and our DD notepad should be considered an adjunct to existing methods to enhance the patient care experience. A bedside tool that is familiar in form to most patients also needs to have the feature of easy access and use. Once this barrier has been removed for the patient and their family members, tools such as the DD notepad can impact the patient‐centeredness by fostering increased and better quality dialogue between the patients, their family members, and healthcare providers.
The DD notepad represents a means of communication that may have the potential to empower patients. It is possible that through question prompts, the DD notepad stimulates the patient to be an active partner with his or her healthcare team. This may enable patients to have some sense of control and accountability of their care in a setting where they would otherwise feel overwhelmed or powerless. The 3 general categories to help patients write down their questions included diagnosis, treatment plan, and medications. In the inpatient setting, where patient‐care activities can be fast paced, and patients are unable to recall some details when speaking to the healthcare team, these notes may remind the patient to write their thoughts down so that they may be remembered for a future time. In situations where patients may not know which questions to ask, the question prompts may be particularly helpful. We did not assess whether our particular question prompts were the key elements that resulted in their perceived value, or whether simply placing a blank notepad at the bedside would also have been successful. However, the specific questions were suggested by the focus groups. Enhanced communication, focusing on the patients' understanding of their condition, and the need to pursue certain diagnostic or therapeutic interventions, may help patients to be better prepared for the next course of plan. These topics of reasons for hospitalization, treatment plan, and medication changes are also important for patients to be active participants in their care, in particular as they transition from 1 site of care to the next, and their healthcare will be delivered by different providers.
There are several limitations to our study. First, this intervention was performed at a single hospital site with only 2 clinical services (general medicine, cardiology) represented in the study groups. Although we do not have any causal reasons to believe this tool would be looked upon differently by patients on other clinical services, it is possible that patients on a different clinical unit or service may view this tool as less or more useful. Second, as the patients were not randomized to intervention, but rather based on the units to which they were admitted, it is possible that other variables, such as the experience of the unit staff, the patient's condition, and housestaff‐based service versus hospitalist‐based service may have played a role in how the patients perceived the use of DD notes. Third, patients were only surveyed if they were able to verbally communicate in English. These notes may not be as useful in hospital settings to populations with language or literacy barriers. Fourth, the logistical implementation of DD notes limited our ability to deliver the DD notepads in every patient's rooms, where only 78% of the intervention group received the DD notepads. This may be the reason that we did not find that overall satisfaction with physician communication differed between intervention and control groups. Nonetheless, we performed an intention‐to‐treat analysis to minimize any biases in our analysis. Last, although our survey of patients asked about their satisfaction in using the DD note pads, we did not compare these results with those of Press‐Ganey or HCAHPS scores of patients on the intervention group versus the control group. Additionally, lack of data about type, quality, and quantity of questions asked by a control group to see if the notepads actually improved quality of questions asked is a limitation; however, we believe our outcomes of interest were most specifically evaluated through our survey questions.
DD notes show that the majority of patients who use this tool feel a modest to significant improvement in communication with their providers. Although the quality of medical care is undoubtedly the first priority, the patients' view of their care, which includes communication, is arguably just as important. An often‐forgotten goal of hospitals and clinics is to provide service excellence along with high‐quality care. Thus, it is imperative for hospitals and their care providers to not only focus on the quality and safety of the clinical care, but also be mindful of the patient's entire experience throughout their hospital stay. Many of the categories of questions asked in the HCAHPS address the patient's experience and perspectives of hospital care. Furthermore, the role of the HCAHPS survey in the Value‐Based Purchasing rules may enhance the importance of these notepads. As the results of HCAHPS are becoming more transparent and available to the public, the impact of such results will have a greater significance to the future of the hospital's clinical mission.
CONCLUSION
DD notepads are a simple, low‐cost, patient‐centered tool that can be an effective reminder for patients to ask their healthcare providers questions related to their hospital care. Utilizing a common tool such as the notepad, redesigned for the healthcare setting, can serve to help healthcare providers interact with their patients. Patient satisfaction may be higher in patients who use the DD notepad.
Disclosures: Aaron S. Farberg, MD, and Andrew M. Lin, MD, contributed equally in every way and should be considered co‐first authors. This work was supported by a University of Michigan Fostering Innovations Grant. The authors have no conflicting financial interests.
In their seminal report Crossing the Quality Chasm, the Institute of Medicine outlined patient‐centered care as 1 of its 6 aims to improve the healthcare delivery system.[1] Patients who are more involved in their diagnosis and treatment plan are more likely to feel respected, be satisfied with their healthcare experience, and ultimately have better outcomes.[2, 3] In a study of hospitalized patients, only 42% were able to state their diagnosis at the time of discharge, suggesting that hospital providers could communicate better with patients about their hospital care.[4] Additionally, only 28% of hospitalized patients were able to list their medications, and only 37% were able to state the purpose of their medications. Although hospitals have taken great strides to improve the quality of patient care, publicly reported patient care surveys, such as the Hospital Consumer Assessment of Hospitals and Health Systems (HCAHPS), suggest that physician communication with patients could be further improved.[1, 5] Furthermore, a recent report by the Institute of Medicine stresses the need to get patients and families involved in their care.[6] Thus, hospital‐based providers should seek to enhance the quality of their communication with patients.
With greater emphasis placed on patient‐ and family‐centered care at many health systems, simple and easy‐to‐implement strategies to improve communication with patients need to be developed and tested.[7, 8] Patients who actively participate in their healthcare by asking questions of their doctor are able to control the focus of their interaction and adjust the amount of information provided.[9] Simply asking questions can have a critical impact, as 1 study found that the frequency with which patients asked questions was significantly related to the amount of information received about general and specific medical matters.[10] The notepad is a common tool for reminders and personal interactions that is used in everyday life, but has not been formalized in the hospital. We introduced Dear Doctor (DD) notes, a bedside notepad designed to prompt patient questions, with the goal of facilitating patient communication with their hospitalist physicians (Figure 1). As hospitalists provide direct and indirect care to a growing number of hospitalized patients, they are likely to be asked questions and opinions about the patients' diagnoses and plans. Furthermore, hospitalists are poised to lead institutional quality, safety, efficiency, and service improvement efforts in the inpatient setting. Becoming familiar with communication‐enhancing tools, such as the DD notes, may help hospitalists in their improvement team roles.
METHODS
Setting
We conducted a study between July 2009 and September 2009 on inpatient medical wards at a large academic medical center with 610 beds and over 44,000 annual discharges.[11] The internal medicine services served by attending physicians and residents comprise a large proportion of hospitalized patients, accounting for over 17,000 discharges per year. Each medical unit includes 32 beds.
Population
Patients over the age of 18 years admitted to a general medicine or cardiology unit and who were able to verbally communicate in English were eligible to be surveyed in the study. Patients with a length of stay <24 hours were excluded. A total of 664 patients were surveyed for inclusion in the study, 440 patients in the intervention group and 224 patients in the control group.
Intervention
The DD notepad included sample questions and informational prompts derived with input from a community focus group. The community focus group consisted of current and formerly hospitalized patients and family members who were asked by members of the study group what they thought would be important to include on a notepad provided to patients. From their answers the study team developed the DD notepad prototype. The DD notepad included 3 general categories of questions: (1) diagnosis and treatment, (2) tests and procedures, and (3) medications. To address other miscellaneous topics such as discharge and posthospital care needs, a section was designated for the patient to check off as I have a few more questions (Use the back of the sheet).
All patients admitted to the study units were intended to receive the DD notepad and pen, which were placed on the bedside table during the room change by our custodial staff. Patients who did not receive DD notepads in the intervention group during their first hospitalization day were provided with 1 by the clinical assistants working with the hospitalists. These patients did not initially receive the notepad due to logistical reasons from temporary rotating staff who were not instructed to provide the notepads. Patients were not formally prompted to use the notepad. Hospitalists, residents, and nurses on the study units were informed about the distribution of DD notes to patients on these units; however, they were not provided with any specific instructions on how they should incorporate the DD notes into their interactions with their patients. The use of the DD notepad was left to each healthcare professional's own discretion.
Members of the study team surveyed patients who had been in the hospital for a minimum of 24 hours in the intervention and control groups twice weekly. All responses were deidentified of any personal or health information. Patients were asked to rate on a scale from 1 to 5 their use of the DD notepads, their perceived value, the circumstances in which the notepads were used, and their level of satisfaction with how their physicians communicated and answered their questions (1 = no improvement, 5 = significant improvement). For control patients, questions pertaining to DD notepads were not applicable and were therefore excluded.
Statistical Analysis
The data were analyzed in an intention‐to‐treat analysis of all 440 patients in the intervention group. Intervention and control groups were compared using 2, rank sum, and Fisher exact statistical tests, with significance assigned as P < 0.05, using SPSS software version 17.0 (SPSS, Inc., Chicago, IL). Our project was approved by the University of Michigan's institutional review board.
RESULTS
Of the 440 patients surveyed in the intervention group (1 general medicine and 1 cardiology unit), 343 (78%) received the notepads in their rooms and 207 (47%) used them (Figure 2). Not every patient in the intervention group received DD notepads due to inconsistent placement of DD notepads upon every room turnover. Of the patients admitted to the control group (1 general medicine and 1 cardiology unit), 224 were surveyed. Fifty‐four percent of the 440 patients in the intervention group reported that they took notes related to their hospital care, compared to only 22% of the 224 patients in the control group (P < 0.001). Of the patients who took notes within the intervention group (n = 207), 91% of them utilized the DD notepads.
Patients in the intervention group who received and used the DD notes (n = 207) compared to patients in the control group (n = 224) were more likely to report that their questions were answered by their physicians (4.63 vs 4.45, P < 0.001). In an intention‐to‐treat analysis of all 440 patients in the intervention group, the overall satisfaction with physician communication was not significantly different between the intervention and control groups as measured on a 5‐point Likert scale (4.55 vs 4.55, P = 0.89). However, 89% of the patients in the intervention group who used the notepads felt that DD notepads either moderately or significantly improved their communication with their providers (Figure 3).
When the 207 patients who received DD notepads were asked how they used this tool, 99% of these patients used DD to write down questions, 82% to keep track of tests and procedures, and 54% indicated that their family and friends also used the notepads during the hospital stay (Table 1). Among these patients who utilized the DD notepads, 93% reported that they would use them again in the future.
| Wrote Notes? (P < 0.001) (%) | Used DD? (%) | Use in Future? (%) | Frequency of Questions Answered (P < 0.001) | DD Improved Communication | Satisfied With Communication? (P = 0.89) | |
|---|---|---|---|---|---|---|
| ||||||
| Intervention (n = 440) | 54 | 91 | 93.2 | 4.63 | 3.76 | 4.55 |
| Control (n = 224) | 22 | 4.45 | 4.55 | |||
Of the 97 patients in the intervention group who did not receive a DD notepad, we asked if they would use the DD notepad if they were made aware of such a tool. Of these patients, 77% agreed that they would use DD notes if they were made available in the future, 100% of them said that they would use DD to write down questions, 97% indicated that they would write notes about tests and procedures, and 88% of them believed that their families and friends would use DD notes.
DISCUSSION
As hospitals place greater emphasis and value on patient‐centered care as part of their clinical mission, it is important to develop tools to help facilitate the doctor‐patient relationship. We found that patients who were provided the Dear Doctor notepad were more satisfied that their doctors answered their questions and felt this tool enhanced their ability to communicate with their physicians. Employing the use of a familiar tool such as the notepad to remind patients about specific issues in their interactions with their providers can be a powerful intervention. Our study demonstrated that the DD notepad was widely accepted by patients, and that almost all of them would use this tool if it were made available to them in the future.
Other tools and methods to enhance the quality of communication between patients and their healthcare providers have included using whiteboards in the patients' rooms to relay the care plan to the patients, implementing bedside rounds by the healthcare team, and multidisciplinary huddling to coordinate information to the patient.[12, 13] Studies of these communication tools have shown potential to improve teamwork, interaction, and patient care. All of these have their own merit and value, and our DD notepad should be considered an adjunct to existing methods to enhance the patient care experience. A bedside tool that is familiar in form to most patients also needs to have the feature of easy access and use. Once this barrier has been removed for the patient and their family members, tools such as the DD notepad can impact the patient‐centeredness by fostering increased and better quality dialogue between the patients, their family members, and healthcare providers.
The DD notepad represents a means of communication that may have the potential to empower patients. It is possible that through question prompts, the DD notepad stimulates the patient to be an active partner with his or her healthcare team. This may enable patients to have some sense of control and accountability of their care in a setting where they would otherwise feel overwhelmed or powerless. The 3 general categories to help patients write down their questions included diagnosis, treatment plan, and medications. In the inpatient setting, where patient‐care activities can be fast paced, and patients are unable to recall some details when speaking to the healthcare team, these notes may remind the patient to write their thoughts down so that they may be remembered for a future time. In situations where patients may not know which questions to ask, the question prompts may be particularly helpful. We did not assess whether our particular question prompts were the key elements that resulted in their perceived value, or whether simply placing a blank notepad at the bedside would also have been successful. However, the specific questions were suggested by the focus groups. Enhanced communication, focusing on the patients' understanding of their condition, and the need to pursue certain diagnostic or therapeutic interventions, may help patients to be better prepared for the next course of plan. These topics of reasons for hospitalization, treatment plan, and medication changes are also important for patients to be active participants in their care, in particular as they transition from 1 site of care to the next, and their healthcare will be delivered by different providers.
There are several limitations to our study. First, this intervention was performed at a single hospital site with only 2 clinical services (general medicine, cardiology) represented in the study groups. Although we do not have any causal reasons to believe this tool would be looked upon differently by patients on other clinical services, it is possible that patients on a different clinical unit or service may view this tool as less or more useful. Second, as the patients were not randomized to intervention, but rather based on the units to which they were admitted, it is possible that other variables, such as the experience of the unit staff, the patient's condition, and housestaff‐based service versus hospitalist‐based service may have played a role in how the patients perceived the use of DD notes. Third, patients were only surveyed if they were able to verbally communicate in English. These notes may not be as useful in hospital settings to populations with language or literacy barriers. Fourth, the logistical implementation of DD notes limited our ability to deliver the DD notepads in every patient's rooms, where only 78% of the intervention group received the DD notepads. This may be the reason that we did not find that overall satisfaction with physician communication differed between intervention and control groups. Nonetheless, we performed an intention‐to‐treat analysis to minimize any biases in our analysis. Last, although our survey of patients asked about their satisfaction in using the DD note pads, we did not compare these results with those of Press‐Ganey or HCAHPS scores of patients on the intervention group versus the control group. Additionally, lack of data about type, quality, and quantity of questions asked by a control group to see if the notepads actually improved quality of questions asked is a limitation; however, we believe our outcomes of interest were most specifically evaluated through our survey questions.
DD notes show that the majority of patients who use this tool feel a modest to significant improvement in communication with their providers. Although the quality of medical care is undoubtedly the first priority, the patients' view of their care, which includes communication, is arguably just as important. An often‐forgotten goal of hospitals and clinics is to provide service excellence along with high‐quality care. Thus, it is imperative for hospitals and their care providers to not only focus on the quality and safety of the clinical care, but also be mindful of the patient's entire experience throughout their hospital stay. Many of the categories of questions asked in the HCAHPS address the patient's experience and perspectives of hospital care. Furthermore, the role of the HCAHPS survey in the Value‐Based Purchasing rules may enhance the importance of these notepads. As the results of HCAHPS are becoming more transparent and available to the public, the impact of such results will have a greater significance to the future of the hospital's clinical mission.
CONCLUSION
DD notepads are a simple, low‐cost, patient‐centered tool that can be an effective reminder for patients to ask their healthcare providers questions related to their hospital care. Utilizing a common tool such as the notepad, redesigned for the healthcare setting, can serve to help healthcare providers interact with their patients. Patient satisfaction may be higher in patients who use the DD notepad.
Disclosures: Aaron S. Farberg, MD, and Andrew M. Lin, MD, contributed equally in every way and should be considered co‐first authors. This work was supported by a University of Michigan Fostering Innovations Grant. The authors have no conflicting financial interests.
- Committee on Quality of Health Care in America, Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
- , , , . An evidence base for patient‐centered cancer care: a meta‐analysis of studies of observed communication between cancer specialists and their patients. Patient Educ Couns. 2009;77(3):379–383.
- . Effective physician‐patient communication and health outcomes: a review. Can Med Assoc J. 1995;152:1423–1433.
- , . Patients' understanding of their treatment plans and diagnosis at discharge. Mayo Clin Proc. 2005;80(8):991–994.
- , , , . Patients' perception of hospital care in the United States. N Engl J Med. 2008;359:1921–1931.
- Institute of Medicine of the National Academies.Best care at lower cost: the path to continuously learning health care in America. Available at: http://www.iom.edu/Reports/2012/Best‐Care‐at‐Lower‐Cost‐The‐Path‐to‐Continuously‐Learning‐Health‐Care‐in‐America.aspx. Accessed October 5, 2012.
- , . An introduction to technology for patient‐centered collaborative care. J Ambul Care Manage. 2006;29:195–198.
- , , , , , . Effect on health‐related outcome of interventions to alter the interaction between patients and practitioners: a systematic review of trials. Ann Fam Med. 2004;2(6):595–608
- , , , , . Characteristics of physicians with participatory decision‐making styles. Ann Intern Med. 1996;124(5):497–504.
- . Information‐giving consultations: the influence of patients' communicative styles and personal characteristics. Soc Sci Med. 1991:32(5):541–548.
- University of Michigan Health System.Patient care and University of Michigan Health System. Available at: http://www.uofmhealth.org/about%2Bumhs/about‐clinical‐care. Accessed August 31, 2012.
- , , , et al. It's the writing on the wall: whiteboards improve inpatient satisfaction with provider communication. Am J Med Qual. 2011;26(2):127–131
- , , , , . Patient whiteboards as a communication tool in the hospital setting: a survey of practices and recommendations. J Hosp Med. 2010;5(4):234–239.
- Committee on Quality of Health Care in America, Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
- , , , . An evidence base for patient‐centered cancer care: a meta‐analysis of studies of observed communication between cancer specialists and their patients. Patient Educ Couns. 2009;77(3):379–383.
- . Effective physician‐patient communication and health outcomes: a review. Can Med Assoc J. 1995;152:1423–1433.
- , . Patients' understanding of their treatment plans and diagnosis at discharge. Mayo Clin Proc. 2005;80(8):991–994.
- , , , . Patients' perception of hospital care in the United States. N Engl J Med. 2008;359:1921–1931.
- Institute of Medicine of the National Academies.Best care at lower cost: the path to continuously learning health care in America. Available at: http://www.iom.edu/Reports/2012/Best‐Care‐at‐Lower‐Cost‐The‐Path‐to‐Continuously‐Learning‐Health‐Care‐in‐America.aspx. Accessed October 5, 2012.
- , . An introduction to technology for patient‐centered collaborative care. J Ambul Care Manage. 2006;29:195–198.
- , , , , , . Effect on health‐related outcome of interventions to alter the interaction between patients and practitioners: a systematic review of trials. Ann Fam Med. 2004;2(6):595–608
- , , , , . Characteristics of physicians with participatory decision‐making styles. Ann Intern Med. 1996;124(5):497–504.
- . Information‐giving consultations: the influence of patients' communicative styles and personal characteristics. Soc Sci Med. 1991:32(5):541–548.
- University of Michigan Health System.Patient care and University of Michigan Health System. Available at: http://www.uofmhealth.org/about%2Bumhs/about‐clinical‐care. Accessed August 31, 2012.
- , , , et al. It's the writing on the wall: whiteboards improve inpatient satisfaction with provider communication. Am J Med Qual. 2011;26(2):127–131
- , , , , . Patient whiteboards as a communication tool in the hospital setting: a survey of practices and recommendations. J Hosp Med. 2010;5(4):234–239.
© 2013 Society of Hospital Medicine