Association Between Specific Depression Symptoms and Glycemic Control Among Patients With Comorbid Type 2 Diabetes and Provisional Depression.

OBJECTIVE: To determine whether specific depression symptoms are associated with glycemic control independent of potential demographic and clinical covariates among primary care patients with comorbid type 2 diabetes and provisional threshold or subthreshold depression. METHOD: We examined a convenience sample of patients diagnosed with type 2 diabetes and provisional threshold or subthreshold depression (N = 82) at 2 family health centers. Cases were identified using a population-based registry of patients diagnosed with type 2 diabetes (ICD-9 codes 250.00 for controlled type 2 diabetes and 250.02 for uncontrolled type 2 diabetes). Data from patients with a primary care provider appointment from the beginning of April 2011 through the end of June 2012 and with at least one 9-item Patient Health Questionnaire (PHQ-9) depression screener and a glycated hemoglobin A1c (HbA1c) laboratory test between 2 weeks before and 10 weeks after PHQ-9 screening were eligible for inclusion. We defined provisional threshold or subthreshold depression using PHQ-9 scoring criteria, which were designed to yield provisional diagnostic information about major depressive disorder based on DSM-5 diagnostic criteria. RESULTS: Patients reporting higher severity of sleep problems on the PHQ-9 had significantly higher HbA1c levels (mean = 8.48, SD = 2.17) compared to patients reporting lower severity or absence of this symptom (mean = 7.19, SD = 1.34, t 48.88 = -3.13, P = .003). Problems with sleep contributed unique variance on glycemic control (ß = 0.27, P = .02) when controlling for potential clinical and demographic covariates, with those reporting more sleep difficulties having higher HbA1c levels. CONCLUSIONS: For patients with type 2 diabetes and provisional threshold or subthreshold depression, it may be prudent to aggressively address sleep problems as a potential mechanism toward improving diabetes control.

Routine assessment of patient-reported outcomes in behavioral health: room for improvement.

Outcomes assessment has become an important tool in assessing the quality of health care. To date, most quality initiatives have focused on adverse events, clinical processes, and/or cost variables. Considerably less attention has been paid to indices of clinical improvement, especially from a patient's perspective and in behavioral health settings. The relative inattention given to clinical improvement is attributable to a number of reasons, including (but not limited to) a lack of consensus regarding measures of improvement, few simple methods for data collection and analysis, and an inability to provide timely feedback. In this article, the authors describe a Web-based system designed to routinely collect quality-of-life ratings from patients in outpatient behavioral health clinics, allowing for real-time feedback at the patient levels regarding clinical improvement. The system also allows for administrative evaluation of overall clinic performance. The costs and benefits of this system are discussed.

General quality of life in youth with type 1 diabetes: relationship to patient management and diabetes-specific family conflict.

OBJECTIVE: To evaluate self-report and parent proxy report of child/teen general quality of life in youth with type 1 diabetes, compare their responses with those of a general pediatric population, and identify relationships between diabetes management, diabetes-related family behavior, and diabetes-specific family conflict with quality of life in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS: Study participants included 100 children, 8-17 years of age (12.1 +/- 2.3), with type 1 diabetes for 0.5-6 years (2.7 +/- 1.6). Each child and a parent completed the Pediatric Quality of Life Inventory (PedsQL), completed the Diabetes Family Conflict Scale, and provided data on parent involvement in diabetes management. An independent measure of adherence to treatment assessed by the patient's clinician and a measure of glycemic control (HbA(1c)) were also collected. RESULTS: PedsQL responses from youth with type 1 diabetes were stable over 1 year and similar to norms from a healthy standardization sample for all three scales of the PedsQL: total, physical, and psychosocial quality of life. After controlling for age, duration of diabetes, sex, HbA(1c), and family involvement, child report of diabetes-specific family conflict (P < 0.01) was the only significant predictor of child report of quality of life (model R(2) = 0.21, P < 0.02). CONCLUSIONS: Youth with type 1 diabetes report remarkably similar quality of life to a nondiabetic youth population. Greater endorsement of diabetes-specific family conflict predicted diminished quality of life for the child. As treatment programs focus on intensifying glycemic control in youth with type 1 diabetes, interventions should include efforts to reduce diabetes-specific family conflict in order to preserve the child's overall quality of life.

Is large-scale community memory screening feasible? Experience from a regional memory-screening day.

OBJECTIVES: To investigate whether a large-scale memory-screening program for community-dwelling elders would be successful in identifying individuals with a high probability of dementia in need of further assessment that would result in the earlier diagnosis of dementia. DESIGN: A descriptive study of experience with a volunteer sample. SETTING: Ten sites (e.g., senior centers, churches, clinics) throughout New England on October 29, 1999. PARTICIPANTS: Trained volunteer clinicians evaluated 497 community-dwelling individuals on the screening day. An additional 162 subjects who could not be accommodated on that day were subsequently screened at local sites by appointment during the following month. MEASUREMENTS: Subjects participated in a standardized format consisting of an educational lecture, followed by individual screenings with the 7-minute screen (7MS) with locally trained staff. Subjects were informed immediately of test results and counseled regarding follow-up options. A survey was conducted with these subjects and their primary care physicians over the following year. RESULTS: Because the groups tested at different times were not statistically different in terms of demographics, they were combined in the analysis. One hundred ten (16.7% of all screened) individuals received high/retest scores on the 7MS. They were advised to seek diagnostic evaluation and encouraged to have results sent to their primary care physicians (PCPs). Of those followed up, 64% reported that they followed up the screening results with their PCP. More than one-third (38%) of participants with a high/retest score on the 7MS had inconclusive findings on follow-up or were awaiting further diagnostic evaluation. Of those for whom follow-up data were available, 10 (9%) were diagnosed with probable Alzheimer's disease (AD), and an additional nine (8%) who had previous diagnoses of AD were correctly identified by the 7MS. Anecdotally, feedback from participants indicated a high level of satisfaction with the process. Participants reported that the educational talk and the possibility of early detection were the most helpful components of the screening program. Moreover, most individuals surveyed in follow-up would recommend the program to a friend or family member. CONCLUSION: A follow-up survey of participants and their physicians supported the conclusion that a community memory-screening program might detect individuals who were previously unknown to have cognitive problems. Furthermore, such a program was highly acceptable to participants. The small number of individuals diagnosed with dementia as a result of the screening program indicates that this form of screening may be inefficient as performed. Multiple obstacles to seeking follow-up care were identified and would need to be addressed in larger-scale programs to make this a worthwhile endeavor. The experience gained in this memory screening program might aid in the planning of better programs, which will be essential if early diagnosis is to keep pace with the growth of treatments for dementia.

Impact of ambulatory, family-focused teamwork intervention on glycemic control in youth with type 1 diabetes.

OBJECTIVE: To evaluate an ambulatory, family-focused intervention aimed at optimizing STUDY DESIGN: Study design We randomly assigned 105 children and adolescents, 8 to 17 years of age, with T1DM for < or =6 years, to a family-focused teamwork (TW) intervention or to standard multidisciplinary diabetes care (SC). Patients in both study groups were seen at 3- to 4-month intervals and were followed prospectively for 1 year. Measures of family involvement in diabetes tasks, DFC, and quality of life were performed at baseline and after 1 year. Hemoglobin A1c was measured at each visit. RESULTS: Patients (n = 100) completed follow-up, (50 in TW and 50 in SC). At entry, A1c was 8.4% +/- 1.3% in TW and 8.3% +/- 1.0% in SC. After 1 year, A1c was 8.2% +/- 1.1% in TW compared with 8.7% +/- 1.5% in SC (P <.05). Both groups had similar frequencies of blood glucose monitoring (BGM) and insulin dosing. Families exposed to the TW intervention maintained or increased family involvement significantly more than families exposed to SC (P =.05). In multivariate analysis, the TW intervention and the daily frequency of BGM significantly predicted A1c (R (2) = 0.17, P =.05). Despite increased family involvement, the TW group reported no increase in DFC or decrease in quality of life. CONCLUSIONS: The ambulatory TW intervention prevented the expected deterioration in glycemic control seen with SC in youths with T1DM of < or =6 years' duration. Successful family involvement may assist in the preservation of health and the prevention of long-term diabetes complications for youth with diabetes.

Identification and treatment of eating disorders in women with type 1 diabetes mellitus.

A series of case reports in the early 1980s and prevalence studies in the 1990s highlighted the serious medical consequences of coexisting eating disorders and diabetes mellitus. Diabetes-specific treatment issues, such as the need to carefully monitor diet, exercise, and blood glucose, may contribute to the development of eating disorder symptoms among women with diabetes mellitus. The attention to food portions and bodyweight that is part of routine diabetes mellitus management parallels the rigid thinking about food and body image found in women with eating disorders who do not have diabetes mellitus. Additionally, intensive insulin management of diabetes mellitus, the current standard of care, has been shown to be associated with bodyweight gain. Following from this, it may be that the very goals of state-of-the-art diabetes mellitus care increase the risk for developing an eating disorder. Once an eating disorder and recurrent insulin omission becomes entrenched, a pattern develops which is hard to break - one of chronic hyperglycemia, depressed mood, fear of bodyweight gain, and frustration with diabetes management. Eating disorders predispose women with diabetes mellitus to many complex medical risks. For example, insulin omission and reduction, eating disorder symptoms unique to diabetes mellitus, are strongly associated with an increased risk of diabetic ketoacidosis and with microvascular complications of diabetes mellitus such as retinopathy. For this reason, it is critical that diabetes mellitus clinicians understand more about eating disorders so as to improve the likelihood of early detection, appropriate treatment, and prevention of acute and long-term medical complications within this high-risk group of women.