By the most recent estimates, 18.8 million people in the U.S. have been diagnosed with diabetes and an additional 7 million are believed to be living with undiagnosed diabetes. At the same time, 79 million people are estimated to have blood glucose levels in the range of prediabetes or categories of increased risk for diabetes. Thus, more than 100 million Americans are at risk for developing the devastating complications of diabetes (1).

Diabetes self-management education (DSME) is a critical element of care for all people with diabetes and those at risk for developing the disease. It is necessary in order to prevent or delay the complications of diabetes (2–6) and has elements related to lifestyle changes that are also essential for individuals with prediabetes as part of efforts to prevent the disease (7,8). The National Standards for Diabetes Self-Management Education are designed to define quality DSME and support and to assist diabetes educators in providing evidence-based education and self-management support. The Standards are applicable to educators in solo practice as well as those in large multicenter programs—and everyone in between. There are many good models for the provision of diabetes education and support. The Standards do not endorse any one approach, but rather seek to delineate the commonalities among effective and excellent self-management education strategies. These are the standards used in the field for recognition and accreditation. They also serve as a guide for nonaccredited and nonrecognized providers and programs.

Because of the dynamic nature of health care and diabetes-related research, the Standards are reviewed and revised approximately every 5 years by key stakeholders and experts within the diabetes education community. In the fall of 2011, a Task Force was jointly convened by the American Association of Diabetes Educators (AADE) and the American Diabetes Association …

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National Standards for Diabetes Self-Management Education and Support

Most measures of depression severity are based on the number of reported symptoms, and threshold scores are often used to classify individuals as healthy or depressed. This method – and research results based on it – are valid if depression is a single condition, and all symptoms are equally good severity indicators. Here, we review a host of studies documenting that specific depressive symptoms like sad mood, insomnia, concentration problems, and suicidal ideation are distinct phenomena that differ from each other in important dimensions such as underlying biology, impact on impairment, and risk factors. Furthermore, specific life events predict increases in particular depression symptoms, and there is evidence for direct causal links among symptoms. We suggest that the pervasive use of sum-scores to estimate depression severity has obfuscated crucial insights and contributed to the lack of progress in key research areas such as identifying biomarkers and more efficacious antidepressants. The analysis of individual symptoms and their causal associations offers a way forward. We offer specific suggestions with practical implications for future research.

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Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential

Chronic diseases are responsible for 7 in 10 deaths each year, and treating people with chronic diseases accounts for most of our nation’s health care costs. We know that many chronic diseases can be prevented by eating well, being physically active, avoiding tobacco and excessive drinking, and getting regular health screenings. CDC’s National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) helps people and communities prevent chronic disease and promotes health and wellness for all. National Center for Chronic Disease Prevention and Health Promotion

National Center For Chronic Disease Prevention and Health Promotion regions

Hypertension remains the most common modifiable cardiovascular risk factor, yet hypertension control rates remain dismal. Home blood pressure (BP) monitoring has the potential to improve hypertension control. The purpose of this review was to quantify both the magnitude and mechanisms of benefit of home BP monitoring on BP reduction. Using a structured review, studies were selected if they reported either changes in BP or percentage of participants achieving a pre-established BP goal between randomized groups using home-based and office-based BP measurements. A random-effects model was used to estimate the magnitude of benefit and relative risk. The search yielded 37 randomized controlled trials with 9446 participants that contributed data for this meta-analysis. Compared with clinic-based measurements (control group), systolic BP improved with home-based BP monitoring (-2.63 mm Hg; 95% CI, -4.24, -1.02); diastolic BP also showed improvement (-1.68 mm Hg; 95% CI, -2.58, -0.79). Reductions in home BP monitoring-based therapy were greater when telemonitoring was used. Home BP monitoring led to more frequent antihypertensive medication reductions (relative risk, 2.02 [95% CI, 1.32 to 3.11]) and was associated with less therapeutic inertia defined as unchanged medication despite elevated BP (relative risk for unchanged medication, 0.82 [95% CI, 0.68 to 0.99]). Compared with clinic BP monitoring alone, home BP monitoring has the potential to overcome therapeutic inertia and lead to a small but significant reduction in systolic and diastolic BP. Hypertension control with home BP monitoring can be enhanced further when accompanied by plans to monitor and treat elevated BP such as through telemonitoring.

Role of Home Blood Pressure Monitoring in Overcoming Therapeutic Inertia and Improving Hypertension Control A Systematic Review and Meta-Analysis

OBJECTIVE\nThe authors evaluated the incremental cost-effectiveness of stepped collaborative care for patients with persistent depressive symptoms after usual primary care management.\n\n\nMETHOD\nPrimary care patients initiating antidepressant treatment completed a standardized telephone assessment 6-8 weeks after the initial prescription. Those with persistent major depression or significant subthreshold depressive symptoms were randomly assigned to continued usual care or collaborative care. The collaborative care included systematic patient education, an initial visit with a consulting psychiatrist, 2-4 months of shared care by the psychiatrist and primary care physician, and monitoring of follow-up visits and adherence to medication regimen. Clinical outcomes were assessed through blinded telephone assessments at 1, 3, and 6 months. Health services utilization and costs were assessed through health plan claims and accounting data.\n\n\nRESULTS\nPatients receiving collaborative care experienced a mean of 16.7 additional depression-free days over 6 months. The mean incremental cost of depression treatment in this program was $357. The additional cost was attributable to greater expenditures for antidepressant prescriptions and outpatient visits. No offsetting decrease in use of other health services was observed. The incremental cost-effectiveness was $21.44 per depression-free day.\n\n\nCONCLUSIONS\nA stepped collaborative care program for depressed primary care patients led to substantial increases in treatment effectiveness and moderate increases in costs. These findings are consistent with those of other randomized trials. Improving outcomes of depression treatment in primary care requires investment of additional resources, but the return on this investment is comparable to that of many other widely accepted medical interventions.

Cost-effectiveness of a collaborative care program for primary care patients with persistent depression

Background  Frequent missed patient appointments in resident continuity clinic is a well-documented problem, but whether rates of missed appointments are disproportionate to standard academic practice, what patient factors contribute to these differences, and health care outcomes of patients who frequently miss appointments are unclear. Methods  The overall population for the study was composed of patients in an academic internal medicine continuity clinic with 5 or more office visits between January 2006 and December 2008. We randomly selected 325 patients seen by resident physicians and 325 patients cared for by faculty. Multivariate linear regression was used to examine the relationship between patient factors and missed appointments. Health outcomes were compared between patients with frequent missed appointments and the remainder of the study sample, using Cox regression analysis. Results  Resident patients demonstrated significantly higher rates of missed appointments than faculty patients,...

Missed Appointments in Resident Continuity Clinic: Patient Characteristics and Health Care Outcomes

Primary care physicians are more likely to see patients with depression than with any other disorder except hypertension, and its management poses a challenge to busy primary care practices. The Patient Health Questionnaire-9, a simple self-administered tool of proven validity and reliability, is a commonly used screening instrument for depression in primary care practice. This review article provides a system-based approach to depression management using the Patient Health Questionnaire-9 to guide clinicians in the identification and treatment of depression and its follow-up care.

A system-based approach to depression management in primary care using the Patient Health Questionnaire-9.

Background Few large studies have examined correlations between anxiety and body mass index (BMI) by gender or racial groups using clinical data. Objective This study aimed to determine associations between diagnosed anxiety disorders and BMI, and evaluate whether observed associations varied by demographic characteristics. Method Data from the Rochester Epidemiology Project (REP) data linkage system were analyzed to examine associations between anxiety disorders and BMI among adults ages 18-85 residing in Olmsted County, MN in 2009 (n=103,557). Height and weight data were available for 75,958 people (73%). The international classification of underweight, overweight, and obesity by BMI was used. Results Population consisted of 56% females, 92.8% White individuals, with median age of 46 years. When adjusted for age, sex, and race, we observed a U-shaped association between anxiety and BMI group. Underweight and obese individuals were more likely to have an anxiety diagnosis compared to normal weight individuals. Stratification by sex yielded a U-shaped association between anxiety and BMI only in women. Stratification by race showed a U-shaped association between anxiety and BMI only in the White population. Anxiety was significantly associated only with obesity in the Black population. Anxiety was not associated with a BMI category in Asian or Hispanic groups. Among elderly group, there is inverse correlation between anxiety and obesity. Conclusion Our results suggest that anxiety may have heterogeneous associations with BMI in the population. Further research on potential mechanisms contributing to these findings will help direct efforts in anxiety and obesity management across diverse population groups.

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Associations Between Anxiety Disorder Diagnoses and Body Mass Index Differ by Age, Sex and Race: A Population Based Study

Few studies have evaluated exercise interventions for smokers with depression or other psychiatric comorbidities. This pilot study evaluated the potential role of supervised vigorous exercise as a smoking cessation intervention for depressed females. Thirty adult women with moderate-severe depressive symptoms were enrolled and randomly assigned to 12 weeks of thrice weekly, in person sessions of vigorous intensity supervised exercise at a YMCA setting (EX; n = 15) or health education (HE; n = 15). All participants received behavioral smoking cessation counseling and nicotine patch therapy. Assessments were done in person at baseline, at the end of 12 weeks of treatment, and at 6 months post-target quit date. Primary end points were exercise adherence (proportion of 36 sessions attended) and biochemically confirmed 7-day point prevalence abstinence at Week 12. Biomarkers of inflammation were explored for differences between treatment groups and between women who smoked and those abstinent at Week 12. Treatment adherence was high for both groups (72% for EX and 66% for HE; p = .55). The Week 12 smoking abstinence rate was higher for EX than HE (11/15 [73%] vs. 5/15 [33%]; p = .028), but no significant differences emerged at 6-month follow-up. Interleukin-6 levels increased more for those smoking than women abstinent at Week 12 (p = .040). Vigorous intensity supervised exercise is feasible and enhances short-term smoking cessation among depressed female smokers. Innovative and cost-effective strategies to bolster long-term exercise adherence and smoking cessation need evaluation in this population. Inflammatory biomarkers could be examined in future research as mediators of treatment efficacy. This preliminary study found that vigorous intensity supervised exercise is feasible and enhances short-term smoking cessation among depressed female smokers. This research addressed an important gap in the field. Despite decades of research examining exercise interventions for smoking cessation, few studies were done among depressed smokers or those with comorbid psychiatric disorders. A novel finding was increases in levels of a pro-inflammatory biomarker observed among women who smoked at the end of the intervention compared to those who did not.

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Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study

The high prevalence of no-shows in residents' primary care clinic acts as a barrier to continuity of care, results in loss of outpatient learning opportunities, and may result in more emergency department (ED) visits. The authors seek to identify if high rates of no-shows correlate with more ED visits. In a selected primary care internal medicine (PCIM) continuity clinic, 650 patients were randomly selected, with 325 patients each from the faculty and resident practices. The number of ED visits between January 1, 2006, and December 30, 2008, was recorded. Demographic characteristics of the population were obtained, and comparisons between the faculty and resident groups were performed using Student t test. Linear multiple regression analysis was performed to compare frequency of ED visits between the faculty and the resident groups, controlling for age, interpreter requirement, number of ED visits, proportion of no-shows, and insurance type. A P value <.05 was considered statistically significant. During 2006-2008, the average number of ED visits per patient in the faculty's practice was 2.1 compared with 4.1 in the resident's practice (P < .001). A multiple linear regression model showed that patients who had more ED visits were likely to be younger (P = .004), had shorter duration of care in the PCIM clinic (P < .001), and had a higher proportion of no-shows to the PCIM clinic (P < .001). There was no statistical difference between faculty and resident practice after adjusting for the above-mentioned variables. Shorter duration in the PCIM clinic and higher proportion of missed appointments were associated with more ED visits, but the use of interpreters and Medicaid insurance did not result in more ED visits. Future interventions are necessary to reduce the no-show rate in the clinic as this may result in a reduction of ED visits.

https://journals.sagepub.com/doi/pdf/10.1177/2150131909359930

Ramona S. DeJesus

Papers

Missed Appointments in Resident Continuity Clinic: Patient Characteristics and Health Care Outcomes

A system-based approach to depression management in primary care using the Patient Health Questionnaire-9.

Associations Between Anxiety Disorder Diagnoses and Body Mass Index Differ by Age, Sex and Race: A Population Based Study

Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study

Increased frequency of no-shows in residents' primary care clinic is associated with more visits to the emergency department.