Assessing peer advisor intervention fidelity using video skits in a peer support implementation trial.

In community-based interventions involving lay health workers, or "community health workers," peer-client interactions are not typically observed by investigators, creating challenges in assessing intervention fidelity. In the context of a community-based randomized controlled trial of the effectiveness of peer support on diabetes outcomes of people with diabetes in rural Alabama, a region characterized by poverty and low literacy, we developed a video assessment tool that assessed participant perceptions of peer-client interactions. The video assessment consisted of four short skits on areas of emphasis during peer training: directive versus nondirective counseling style and setting a specific versus a more general goal. The video tool was evaluated for association with questionnaire-derived measures of counseling style and goal setting among 102 participants. For counseling style, 44% of participants reported that their peer advisor was most similar to the nondirective skit. For goal setting, 42% reported that their peer advisor was most similar to the specific goal skit. There was no statistically significant relationship between skit selection and questionnaire-derived measures. The video assessment was feasible, but results suggest that video and questionnaire assessments in this population yield different results. Further validation to better understand the differences between questionnaire reports and video assessment is warranted.

The relationship between coping styles in response to unfair treatment and understanding of diabetes self-care.

PURPOSE: This study examined the relationship between coping style and understanding of diabetes self-care among African American and white elders in a southern Medicare-managed care plan. METHODS: Participants were identified through a diabetes-related pharmacy claim or ICD-9 code and completed a computer-assisted telephone survey in 2006-2007. Understanding of diabetes self-care was assessed using the Diabetes Care Profile Understanding (DCP-U) scale. Coping styles were classified as active (talk about it/take action) or passive (keep it to yourself). Linear regression was used to estimate the associations between coping style with the DCP-U, adjusting for age, sex, education, and comorbidities. Based on the conceptual model, 4 separate categories were established for African American and white participants who displayed active and passive coping styles. RESULTS: Of 1420 participants, the mean age was 73 years, 46% were African American, and 63% were female. Most respondents (77%) exhibited active coping in response to unfair treatment. For African American participants in the study, active coping was associated with higher adjusted mean DCP-U scores when compared to participants with a passive coping style. No difference in DCP-U score was noted among white participants on the basis of coping style. CONCLUSIONS: Active coping was more strongly associated with understanding of diabetes self-care among older African Americans than whites. Future research on coping styles may give new insights into reducing diabetes disparities among racial/ethnic minorities.

Association of race and sex with risk of incident acute coronary heart disease events.

CONTEXT: It is unknown whether long-standing disparities in incidence of coronary heart disease (CHD) among US blacks and whites persist. OBJECTIVE: To examine incident CHD by black and white race and by sex. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort study of 24,443 participants without CHD at baseline from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, who resided in the continental United States and were enrolled between 2003 and 2007 with follow-up through December 31, 2009. MAIN OUTCOME MEASURE: Expert-adjudicated total (fatal and nonfatal) CHD, fatal CHD, and nonfatal CHD (definite or probable myocardial infarction [MI]; very small non-ST-elevation MI [NSTEMI] had peak troponin level <0.5 µg/L). RESULTS: Over a mean (SD) of 4.2 (1.5) years of follow-up, 659 incident CHD events occurred (153 in black men, 138 in black women, 254 in white men, and 114 in white women). Among men, the age-standardized incidence rate per 1000 person-years for total CHD was 9.0 (95% CI, 7.5-10.8) for blacks vs 8.1 (95% CI, 6.9-9.4) for whites; fatal CHD: 4.0 (95% CI, 2.9-5.3) vs 1.9 (95% CI, 1.4-2.6), respectively; and nonfatal CHD: 4.9 (95% CI, 3.8-6.2) vs 6.2 (95% CI, 5.2-7.4). Among women, the age-standardized incidence rate per 1000 person-years for total CHD was 5.0 (95% CI, 4.2-6.1) for blacks vs 3.4 (95% CI, 2.8-4.2) for whites; fatal CHD: 2.0 (95% CI, 1.5-2.7) vs 1.0 (95% CI, 0.7-1.5), respectively; and nonfatal CHD: 2.8 (95% CI, 2.2-3.7) vs 2.2 (95% CI, 1.7-2.9). Age- and region-adjusted hazard ratios for fatal CHD among blacks vs whites was near 2.0 for both men and women and became statistically nonsignificant after multivariable adjustment. The multivariable-adjusted hazard ratio for incident nonfatal CHD for blacks vs whites was 0.68 (95% CI, 0.51-0.91) for men and 0.81 (95% CI, 0.58-1.15) for women. Of the 444 nonfatal CHD events, 139 participants (31.3%) had very small NSTEMIs. CONCLUSIONS: The higher risk of fatal CHD among blacks compared with whites was associated with cardiovascular disease risk factor burden. These relationships may differ by sex.

Awareness and management of chronic disease, insurance status, and health professional shortage areas in the REasons for Geographic And Racial Differences in Stroke (REGARDS): a cross-sectional study.

BACKGROUND: Limited financial and geographic access to primary care can adversely influence chronic disease outcomes. We examined variation in awareness, treatment, and control of hypertension, diabetes, and hyperlipidemia according to both geographic and financial access to care. METHODS: We analyzed data on 17,458 participants in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study with either hypertension, hyperlipidemia, or diabetes and living in either complete Health Professional Shortage Area (HPSA) counties or non-HPSA counties in the U.S. All analyses were stratified by insurance status and adjusted for sociodemographics and health behaviors. RESULTS: 2,261 residents lived in HPSA counties and 15,197 in non-HPSA counties. Among the uninsured, HPSA residents had higher awareness of both hypertension (adjusted OR 2.30, 95% CI 1.08, 4.89) and hyperlipidemia (adjusted OR 1.50, 95% CI 1.01, 2.22) compared to non-HPSA residents. Also among the uninsured, HPSA residents with hypertension had lower blood pressure control (adjusted OR 0.45, 95% CI 0.29, 0.71) compared with non-HPSA residents. Similar differences in awareness and control according to HPSA residence were absent among the insured. CONCLUSIONS: Despite similar or higher awareness of some chronic diseases, uninsured HPSA residents may achieve control of hypertension at lower rates compared to uninsured non-HPSA residents. Federal allocations in HPSAs should target improved quality of care as well as increasing the number of available physicians.

Intervention mapping as a guide for the development of a diabetes peer support intervention in rural Alabama.

INTRODUCTION: Peer support is a promising strategy for the reduction of diabetes-related health disparities; however, few studies describe the development of such strategies in enough detail to allow for replication. The objective of this article is to describe the development of a 1-year peer support intervention to improve diabetes self-management among African American adults with diabetes in Alabama's Black Belt. METHODS: We used principles of intervention mapping, including literature review, interviews with key informants, and a discussion group with community health workers, to guide intervention development. Qualitative data were combined with behavioral constructs and principles of diabetes self-management to create a peer support intervention to be delivered by trained peer advisors. Feedback from a 1-month pilot was used to modify the training and intervention. RESULTS: The resulting intervention includes a 2-day training for peer advisors, who were each paired with 3 to 6 clients. A one-on-one in-person needs assessment begins an intensive intervention phase conducted via telephone for 8 to 12 weeks, followed by a maintenance phase of at least once monthly contacts for the remainder of the intervention period. A peer support network and process measures collected monthly throughout the study supplement formal data collection points at baseline, 6 months, and 12 months. DISCUSSION: Intervention mapping provided a useful framework for the development of culturally relevant diabetes peer support intervention for African Americans living in Alabama's Black Belt. The process described could be implemented by others in public health to develop or adapt programs suitable for their particular community or context.

Health Professional Shortage Areas, insurance status, and cardiovascular disease prevention in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Individuals with cardiovascular disease (CVD) living in Health Professional Shortage Areas (HPSA) may receive less preventive care than others. The Reasons for Geographic And Racial Differences in Stroke Study (REGARDS) surveyed 30,239 African American (AA) and White individuals older than 45 years of age between 2003-2007. We compared medication use for CVD prevention by HPSA and insurance status, adjusting for sociodemographic factors, health behaviors, and health status. Individuals residing in partial HPSA counties were excluded. Mean age was 64±9 years, 42% were AA, 55% were women, and 93% had health insurance; 2,545 resided in 340 complete HPSA counties and 17,427 in 1,145 non-HPSA counties. Aspirin, beta-blocker, and ACE-inhibitor use were similar by HPSA and insurance status. Compared with insured individuals living in non-HPSA counties, statin use was lower among uninsured participants living in non-HPSA and HPSA counties. Less medication use for CVD prevention was not associated with HPSA status, but less statin use was associated with lack of insurance.

Low medication adherence and the incidence of stroke symptoms among individuals with hypertension: the REGARDS study.

The authors analyzed data on 9950 participants taking antihypertensive medications in the nationwide Reasons for Geographic and Racial Differences in Stroke (REGARDS) study to determine the association between medication adherence and incident stroke symptoms. Medication adherence was assessed using a validated 4-item self-report scale and participants were categorized into 4 groups (scores of 0, 1, 2, and 3 or 4, with higher scores indicating worse adherence). The incidence of 6 stroke symptoms (sudden weakness on one side of the body, numbness, painless loss of vision in one or both eyes, loss of half vision, losing the ability to understand people, and losing the ability to express oneself verbally or in writing) was assessed via telephone interviews every 6 months. During a median of 4 years, the incidence of any stroke symptom was 14.6%, 17.9%, 20.2%, and 24.9% among participants with adherence scores of 0, 1, 2, and 3 or 4, respectively (P<.001). The multivariable adjusted hazard ratio (95% confidence interval) for any stroke symptom associated with adherence scores of 1, 2, and 3 or 4, vs 0, was 1.20 (1.04-1.39), 1.23 (0.94-1.60), and 1.59 (1.08-2.33), respectively (P<.001). Worse adherence was also associated with higher multivariable adjusted hazard ratios for each of the 6 stroke symptoms.

The association between income, education, and experiences of discrimination in older African American and European American patients.

OBJECTIVE: Racial/ethnic discrimination has adverse effects on health outcomes, as does low income and education, but the relationship between discrimination, income, and education is not well characterized. In this study, we describe the associations of discrimination with income and education in elderly African Americans (AA) and European Americans (EA). DESIGN: Cross-sectional observational study involving computer-assisted telephone survey. SETTING: Southeastern United States. PARTICIPANTS: AA and EA Medicare managed care enrollees. MAIN OUTCOME MEASURES: Discrimination was measured with the Experience of Discrimination (EOD) scale (range 0-35). We used zero-inflated negative binomial models to determine the association between self-reported income and education and 1) presence of any discrimination and 2) intensity of discrimination. RESULTS: Among 1,800 participants (45% AA, 56% female, and mean age 73 years), EA reported less discrimination than AA (4% vs. 47%; P < .001). AA men reported more discrimination and more intense discrimination than AA women (EOD scores 4.35 vs. 2.50; P < .001). Both income and education were directly and linearly associated with both presence of discrimination and intensity of discrimination in AA, so that people with higher incomes and education experienced more discrimination. In adjusted models, predicted EOD scores among AA decreased with increasing age categories (3.42, 3.21, 2.99, 2.53; P < .01) and increased with increasing income (2.36, 3.44, 4.17; P < .001) and education categories (2.31, 3.09, 5.12; P < .001). CONCLUSIONS: This study suggests future research should focus less on differences between racial/ethnic groups and more on factors within minority populations that may contribute to healthcare disparities.

Burden of comorbid medical conditions and quality of diabetes care.

OBJECTIVE: With performance-based reimbursement pressures, it is concerning that most performance measurements treat each condition in isolation, ignoring the complexities of patients with multiple comorbidities. We sought to examine the relationship between comorbidity and commonly assessed services for diabetic patients in a managed care organization. RESEARCH DESIGN AND METHODS: In 6,032 diabetic patients, we determined the association between the independent variable medical comorbidity, measured by the Charlson Comorbidity Index (CCI), and the dependent variables A1C testing, lipid testing, dilated eye exam, and urinary microalbumin testing. We calculated predicted probabilities of receiving tests for patients with increasing comorbid illnesses, adjusting for patient demographics. RESULTS: A1C and lipid testing decreased slightly at higher CCI: predicted probabilities for CCI quartiles 1, 2, 3, and 4 were 0.83 (95% CI 0.70-0.91), 0.83 (0.69-0.92), 0.82 (0.68-0.91), and 0.78 (0.61-0.88) for A1C, respectively, and 0.82 (0.69-0.91), 0.81(0.67-0.90), 0.79 (0.64-0.89), and 0.77 (0.61-0.88) for lipids. Dilated eye exam and urinary microalbumin testing did not differ across CCI quartiles: for quartiles 1, 2, 3, and 4, predicted probabilities were 0.48 (0.33-0.63), 0.54 (0.38-0.69), 0.50 (0.34-0.65), and 0.50 (0.34-0.65) for eye exam, respectively, and 0.23 (0.12-0.40), 0.24 (0.12-0.42), 0.24 (0.12-0.41), and 23 (0.11-0.40) for urinary microalbumin. CONCLUSIONS: Services received did not differ based on comorbid illness burden. Because it is not clear whether equally aggressive care confers equal benefits to patients with varying comorbid illness burden, more evidence confirming such benefits may be warranted before widespread implementation of pay-for-performance programs using currently available "one size fits all" performance measures.

Racial/ethnic differences in diabetes care for older veterans: accounting for dual health system use changes conclusions.

BACKGROUND: Veterans Health Administration (VHA) databases are used extensively to study racial/ethnic disparities; however, these databases may not capture all care received by VHA patients. OBJECTIVES: We examined the extent to which accounting for non-VHA care changed conclusions about racial/ethnic disparities for VHA patients with diabetes. METHODS: Using a cross-sectional observational study, we analyzed a national sample of noninstitutionalized Hispanic (n = 5931), black (n = 24,670), and white (n = 149,222) VHA patients with diabetes who were at least 65 years of age for receipt of annual HbA1c testing, low-density lipoprotein (LDL) cholesterol testing, or eye examination from VHA and Medicare administrative files. RESULTS: In VHA alone data, adjusting for patient characteristics, Hispanic and black patients were as likely as white patients to receive HbA1c testing (odds ratio 1.06 [95% confidence interval 0.99-1.13] and 1.04 [1.00-1.07], respectively), and more likely to receive eye examinations (1.31 [1.24-1.38] and 1.33 [1.29-1.37], respectively). Hispanic patients were equally likely (1.01 [0.95-1.07]) and black patients were less likely (0.81 [0.79-0.84]) to receive LDL testing versus white patients. In VHA plus Medicare data, Hispanic and black patients were less likely than white patients to receive HbA1c (0.76 [0.71-0.82] and 0.83 [0.80-0.87], respectively) and LDL testing (0.84 [0.79-0.90] and 0.70 [0.68-0.72], respectively), and equally likely to receive eye examinations (0.91 [0.86-0.96]) and 0.98 [0.95-1.01]), respectively). Accounting for VHA facility had little effect on results. CONCLUSIONS: Restricting to VHA data masks racial/ethnic disparities in care of VHA patients. VHA researchers must be aware and supplement VHA data with other sources whenever possible.