In this sample of hypertensive patients, there were a number of factors associated with poor BP control that partially explained the observed racial disparity in hypertension control including age, medication nonadherence, and worry about BP. Medication nonadherence is of particular interest because it is a potentially modifiable factor that might be used to reduce the racial disparity in BP control.

Psychological, emotional, related behavioral factors, and quality of life are important in diabetes management, are worthy of attention in their own right, and influence metabolic control. A range of interventions that achieve benefits in these areas provide a base for developing versatile programs to promote healthy coping.

OBJECTIVEOlder adults with diabetes and dementia are at increased risk for hypoglycemia and other adverse events associated with tight glycemic control and are unlikely to experience long-term benefits. We examined risk factors for tight glycemic control in this population and use of medications associated with a high risk of hypoglycemia in the subset with tight control.RESEARCH DESIGN AND METHODSThis retrospective cohort study of national Veterans Affairs (VA) administrative/clinical data and Medicare claims for fiscal years (FYs) 2008–2009 included 15,880 veterans aged ≥65 years with type 2 diabetes and dementia and prescribed antidiabetic medication. Multivariable regression analyses were used to identify sociodemographic and clinical predictors of hemoglobin A1c (HbA1c) control (tight, moderate, poor, or not monitored) and, in patients with tight control, subsequent use of medication associated with a high risk of hypoglycemia (sulfonylureas, insulin).RESULTSFifty-two percent of patients had tight glycemic control (HbA1c <7% [53 mmol/mol]). Specific comorbidities, older age, and recent weight loss were associated with greater odds of tight versus moderate control, whereas Hispanic ethnicity and obesity were associated with lower odds of tight control. Among tightly controlled patients, 75% used sulfonylureas and/or insulin, with higher odds in patients who were male, black, or aged ≥75 years; had a hospital or nursing home stay in FY2008; or had congestive heart failure, renal failure, or peripheral vascular disease.CONCLUSIONSMany older veterans with diabetes and dementia are at high risk for hypoglycemia associated with intense diabetes treatment and may be candidates for deintensification or alteration of diabetes medications.

Objective Medication nonadherence is a significant clinical problem in chronic disease management. Self-report measures have inadequate reliability and poor distributional properties. We demonstrate how two fundamental measurement issues have limited the usefulness of self-reported medication nonadherence measures and offer recommendations for improving measurement. Study Design and Methods We reviewed existing self-report measures of medication nonadherence in the context of hypertension, one of the most common chronic conditions in which medication nonadherence is a paramount concern. We evaluated these measures with regard to two issues: (1) conflation of causal indicators (which give rise to a latent construct) and effect indicators (which are determined by a latent construct), and (2) a lack of evidence regarding the stability of nonadherence over time. Results Nonadherence measurement could be improved by using effect indicators to assess the extent of nonadherence and causal indicators to assess reasons for nonadherence. Moreover, nonadherence should be assessed longitudinally, so that recent developments in statistical modeling can illuminate the extent to which medication nonadherence is transient vs. stable. Conclusion Attention to these measurement issues can improve the assessment of self-reported nonadherence, thereby allowing more accurate conclusions to be drawn about medication-taking behavior and informing the development of improved interventions that target medication nonadherence.

BACKGROUND: Numerous interventions are available to boost medication adherence, but the targeting of these interventions often relies on crude measures of poor adherence. Group-based trajectory models identify individuals with similar longitudinal prescription filling patterns. Identifying distinct adherence trajectories may be more useful for targeting interventions, although the association between adherence trajectories and clinical outcomes is unknown. OBJECTIVE: To examine the association between adherence trajectories for oral hypoglycemics and subsequent hospitalizations among diabetes patients. DESIGN: Retrospective cohort study. PATIENTS: A total of 16,256 Pennsylvania Medicaid enrollees, non-dually eligible for Medicare, initiating oral hypoglycemics between 2007 and 2009. MAIN MEASURES: We used group-based trajectory models to identify trajectories of oral hypoglycemics in the 12 months post-treatment initiation, using monthly proportion of days covered (PDC) as the adherence measure. Multivariable Cox proportional hazard models were used to examine the association between trajectories and time to first diabetes-related hospitalization/emergency department (ED) visits in the following year. We used the C-index to compare prediction performance between adherence trajectories and dichotomous cutpoints (annual PDC <80 vs. ≥80 %). RESULTS: The mean annual PDC was 0.58 (SD 0.32). Seven trajectories were identified: perfect adherers (9 % of the cohort), nearly perfect adherers (31.4 %), moderate adherers (21.0 %), low adherers (11.0 %), late discontinuers (6.8 %), early discontinuers (9.7 %), and non-adherers with only one fill (11.1 %). Compared to perfect adherers, trajectories of moderate adherers (HR = 1.48, 95 % CI 1.25, 1.75), low adherers (HR = 1.51, 95 % CI 1.25, 1.83), and non-adherers with only one fill (HR = 1.35, 95 % CI 1.09, 1.67) had greater risk of diabetes-related hospitalizations/ED visits. Predictive accuracy was improved using trajectories compared to dichotomized cutpoints (C-index = 0.714 vs. 0.652). CONCLUSIONS: Oral hypoglycemic treatment trajectories were highly variable in this large Medicaid cohort. Low and moderate adherers and those filling only one prescription had a modestly higher risk of hospitalizations/ED visits compared to perfect adherers. Trajectory models may be valuable in identifying specific non-adherence patterns for targeting interventions.

Purpose The purpose of this study is to summarize recent literature on approaches to supporting healthy coping in diabetes, in two specific areas: 1) impact of different approaches to diabetes treatment on healthy coping; and 2) effectiveness of interventions specifically designed to support healthy coping. Methods A PubMed search identified 129 articles published August 1, 2006 – April 30, 2011, addressing diabetes in relation to emotion, quality of life, depression, adjustment, anxiety, coping, family therapy, behavior therapy, psychotherapy, problem-solving, couples therapy, or marital therapy. Results Evidence suggests that treatment choice may significantly influence quality of life, with treatment intensification in response to poor metabolic control often improving quality of life. The recent literature provides support for a variety of healthy coping interventions in diverse populations, including diabetes self-management education, support groups, problem-solving approaches, and coping skills interventions for improving a range of outcomes, Cognitive Behavior Therapy and collaborative care for treating depression, and family therapy for improving coping in youths. Conclusions Healthy coping in diabetes has received substantial attention in the past five years. A variety of approaches show positive results. Research is needed to compare effectiveness of different approaches in different populations and determine how to overcome barriers to intervention dissemination and implementation.

Objective:Young adults meeting hypertension diagnostic criteria have a lower prevalence of a hypertension diagnosis than middle-aged and older adults. The purpose of this study was to compare the rates of a new hypertension diagnosis for different age groups and identify predictors of delays in the initial diagnosis among young adults who regularly use primary care.Methods:A 4-year retrospective analysis included 14 970 patients, at least 18 years old, who met clinical criteria for an initial hypertension diagnosis in a large, Midwestern, academic practice from 2008 to 2011. Patients with a previous hypertension diagnosis or prior antihypertensive medication prescription were excluded. The probability of diagnosis at specific time points was estimated by Kaplan–Meier analysis. Cox proportional hazard models (hazard ratio; 95% confidence interval) were fit to identify predictors of delays to an initial diagnosis, with a subsequent subset analysis for young adults (18–39 years old).Results:After 4 years, 56% of 18–24-year-olds received a diagnosis compared with 62% (25–31-year-olds), 68% (32–39-year-olds), and more than 70% (≥40-year-olds). After adjustment, 18–31-year-olds had a 33% slower rate of receiving a diagnosis (18–24 years hazard ratio 0.66, 0.53–0.83; 25–31 years hazard ratio 0.68, 0.58–0.79) compared with adults at least 60 years. Other predictors of a slower diagnosis rate among young adults were current tobacco use, white ethnicity, and non-English primary language. Young adults with diabetes, higher blood pressures, or a female provider had a faster diagnosis rate.Conclusion:Provider and patient factors are critical determinants of poor hypertension diagnosis rates among young adults with regular primary care use.

Background The risk of potentially inappropriate prescription and over-the-counter medication (PIM) use in dementia patients is high. Informal caregivers often facilitate patients’ use of medications, but the effect of caregiver factors on PIM use has not been a focus of prior research. Objective To examine PIM use in dementia patients and caregivers, and identify caregiver risk factors for PIM use in dementia patients. Methods We conducted a secondary data analysis of the baseline wave of the Resources for Enhancing Alzheimer's Caregiver's Health study. The sample was comprised of 566 persons with dementia aged 65 and older and their co-residing family caregiver. PIM was defined using the 2003 Beers criteria and was examined in both dementia patients and their caregivers. Caregiver and patient risk factors included a range of socio-demographic and health variables. Results In dementia patients, 33% were taking at least 1 PIM, and 39% of their caregivers were also taking a PIM. In fully adjusted models, the following caregiver factors were associated with an increased risk of dementia patient PIM use: caregiver's own PIM use; spouse caregivers; Hispanic caregivers; and greater number of years the caregiver has lived in the United States. Increased caregiver age was associated with a decreased risk of PIM use in patients. Conclusions PIM use may be higher in dementia patients and their informal caregivers compared to the general older adult population. Further, patterns of medication use in one member of the dyad may influence PIM risk in the other dyad member. These results suggest that interventions to increase appropriate medication use in dementia patients and their caregivers should target both members of the dyad and target over-the-counter agents along with prescription medications.