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Factors influencing disease self-management among veterans with diabetes and poor glycemic control.

ABSTRACT: SPECIFIC AIM: Although the Department of Veterans Affairs (VA) has made significant organizational changes to improve diabetes care, diabetes self-management has received limited attention. The purpose of this study is to assess factors influencing diabetes self-management among veterans with poorly controlled diabetes. METHODS: Surveys were mailed to patients with type 2 diabetes and a HbA1c of 8% or greater who attended 1 of 2 VA Medical Centers in Washington State (n = 1,286). Validated survey instruments assessed readiness to change, self-efficacy, provider advice, and diabetes self-care practices. RESULTS: Our response rate was 56% (n = 717). Most respondents reported appropriate advice from physicians regarding physical activity, nutrition, and glucose monitoring (73%, 92%, and 98%, respectively), but many were not ready to change self-management behaviors. Forty-five percent reported non-adherence to medications, 42% ate a high-fat diet, and only 28% obtained either moderate or vigorous physical activity. The mean self-efficacy score for diabetes self-care was low and half of the sample reported readiness to change nutrition (52%) or physical activity (51%). Individuals with higher self-efficacy scores were more likely to adhere to medications, follow a diabetic meal plan, eat a lower fat diet, have higher levels of physical activity, and monitor their blood sugars (P < .001 for all). CONCLUSIONS: Although veterans with poor diabetes control receive appropriate medical advice, many were not sufficiently confident or motivated to make and maintain self-management changes. Targeted patient-centered interventions may need to emphasize increasing self-efficacy and readiness to change to further improve VA diabetes outcomes.

SUBMITTER: Nelson KM

PROVIDER: S-EPMC1829424 | biostudies-other | 2007 Apr

REPOSITORIES: biostudies-other

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Project description:ObjectiveEffective diabetes self-management can prevent long-term health complications but is often complex and difficult to achieve. Health care professionals' support for patients' autonomy (autonomy support) in managing their diabetes contributes to better diabetes self-care and glycemic control. Most adults with diabetes also receive self-management support from informal health supporters. Yet, the role of autonomy support from these informal health supporters has not been explored. We examined patients' perceived autonomy support from their main health supporter (family member or friend) in relation to their diabetes distress, self-efficacy, self-monitoring of blood glucose (SMBG), medication adherence, and hemoglobin A1c (HbA1c).MethodThree hundred twenty-six veterans with Type 2 diabetes at high risk for complications, who identified a main health supporter, were surveyed using self-report measures of social support, diabetes distress, self-efficacy, and self-care. HbA1c and prescription fill data were extracted from VA electronic records for the 12-months before and after the survey. Linear regression and linear mixed models examined the associations of autonomy support with diabetes distress, self-efficacy, SMBG, medication adherence, and glycemic control, controlling for participant-supporter relationship characteristics and patient-factors.ResultsIn adjusted models, greater autonomy support was associated with lower diabetes distress (B = -.323, SE = .098, p = .001), greater self-efficacy (B = .819, SE = .148, p < .001), more frequent SMBG (B = .297, SE = .082, p < .001), and better subsequent 12-month glycemic control (B = .257, SE = .085, p = .003) but not with medication adherence (B = .001, SE = .020, p = .994).ConclusionsAutonomy support from main health supporters is significantly associated better diabetes related attitudes, self-care, and glycemic control after adjusting for relationship and patient characteristics. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Project description:OBJECTIVE:Patients with persistent poorly-controlled diabetes mellitus (PPDM) despite engagement in clinic-based care are at particularly high risk for diabetes complications and costs. Understanding this population's demographics, comorbidities and care utilization could guide strategies to address PPDM. We characterized factors associated with PPDM in a large sample of Veterans with type 2 diabetes. METHODS:We identified a cohort of Veterans with medically treated type 2 diabetes, who received Veterans Health Administration primary care during fiscal years 2012 and 2013. PPDM was defined by hemoglobin A1c levels uniformly >8.5% during fiscal year (FY) 2012, despite engagement with care during this period. We used FY 2012 demographic, comorbidity and medication data to describe PPDM in relation to better-controlled diabetes patients and created multivariable models to examine associations between clinical factors and PPDM. We also constructed multivariable models to explore the association between PPDM and FY 2013 care utilization. RESULTS:In our cohort of diabetes patients (n = 435,820), 12% met criteria for PPDM. Patients with PPDM were younger than better-controlled patients, less often married, and more often Black/African-American and Hispanic or Latino/Latina. Of included comorbidities, only retinopathy (OR 1.68, 95% confidence interval (CI): 1.63,1.73) and nephropathy (OR 1.26, 95% CI: 1.19,1.34) demonstrated clinically significant associations with PPDM. Complex insulin regimens such as premixed (OR 10.80, 95% CI: 10.11,11.54) and prandial-containing regimens (OR 18.74, 95% CI: 17.73,19.81) were strongly associated with PPDM. Patients with PPDM had higher care utilization, particularly endocrinology care (RR 3.56, 95% CI: 3.47,3.66); although only 26.4% of patients saw endocrinology overall. CONCLUSION:PPDM is strongly associated with complex diabetes regimens, although heterogeneity in care utilization exists. While there is evidence of underutilization, inadequacy of available care may also contribute to PPDM. Our findings should inform tailored approaches to meet the needs of PPDM, who are among the highest-risk, highest-cost patients with diabetes.

Project description:BackgroundCardiovascular disease (CVD) is the most common complication of diabetes mellitus (DM). To prevent morbidity and mortality among patients with type 2 diabetes mellitus (T2DM), optimization of glycemic status and minimizing CVD risk factors is essential. As Nepal has limited data on these CVD risk parameters, we assessed the prevalence of poor glycemic control, CVD risk factors, and their clustering among patients with T2DM.MethodsUsing a cross-sectional study design, we collected data of 366 patients with T2DM. We applied a multistage cluster sampling technique and used the WHO STEPS tools. Binary logistic and Poisson regression was applied to calculate odds and prevalence ratio of clustering of risk factors, considering P< 0.05 statistically significant.ResultsThe mean age of participants was 54.5±10.7 years and 208 (57%) were male. The prevalence of poor glycemic control was 66.4% (95% C.I: 61.5-71.2). The prevalence of smoking, alcohol users, inadequate fruit and vegetables intake and physical inactivity were 18% (95% C.I:14 to 21.9), 14.8% (95% C.I:11.1 to 18.4), 98.1% (95% C.I: 96.7-99.4), and 9.8% (95% C.I:6.7-12.8), respectively. Overall, 47.3% (95% C.I: 42.1-52.4) were overweight and obese, 59% (95% C.I: 52.9-63) were hypertensive, and 68% (95% C.I: 63.2-72.7) had dyslipidemia. Clustering of two, three, four, five and more than five risk factors was 12.6%, 30%, 30%,19%, and 8.7%, respectively. Four or more risk factors clustering was significantly associated with gender, age, level of education, T2DM duration, and use of medication. Risk factors clustering was significantly higher among males and users of anti-diabetic medications with prevalence ratio of 1.14 (95% C.I:1.05-1.23) and 1.09 (95% C.I: 1.09-1.18)], respectively.ConclusionsThe majority of the patients with T2DM had poor glycemic control and CVD risk factors. Policies and programs focused on the prevention and better management of T2DM and CVD risk factors should be implemented to reduce mortality in Nepal.

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Factors influencing disease self-management among veterans with diabetes and poor glycemic control.

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