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Objectives. We qualitatively assessed patients' perceptions of discrimination and patient satisfaction in the health care setting specific to interactions with nonphysician health care staff. Methods. We conducted 12 focus-group interviews with African American and European American participants, stratified by race and gender, from June to November 2008. We used a topic guide to facilitate discussion and identify factors contributing to perceived discrimination and analyzed transcripts for relevant themes using a codebook. Results. We enrolled 92 participants: 55 African Americans and 37 European Americans, all of whom reported perceived discrimination and lower patient satisfaction as a result of interactions with nonphysician health care staff. Perceived discrimination was associated with 2 main characteristics: insurance or socioeconomic status and race. Both verbal and nonverbal communication style on the part of nonphysician health care staff were related to individuals' perceptions of how they were treated. Conclusions. The behaviors of nonphysician health care staff in the clinical setting can potentially contribute to patients' perceptions of discrimination and lowered patient satisfaction. Future interventions to reduce health care discrimination should include a focus on staff cultural competence and customer service skills. [ABSTRACT FROM AUTHOR]

PURPOSE It is unclear whether peer coaching is effective in minority populations living with diabetes in hard-to-reach, under-resourced areas such as the rural South. We examined the effect of an innovative peer-coaching intervention plus brief education vs brief education alone on diabetes outcomes. METHODS This was a community-engaged, cluster-randomized, controlled trial with primary care practices and their surrounding communities serving as clusters. The trial enrolled 424 participants, with 360 completing baseline and follow-up data collection (84.9% retention). The primary outcomes were change in glycated hemoglobin (HbA1c), systolic blood pressure (BP), low density lipoprotein cholesterol (LDL-C), body mass index (BMI), and quality of life, with diabetes distress and patient activation as secondary outcomes. Peer coaches were trained for 2 days in community settings; the training emphasized motivational interviewing skills, diabetes basics, and goal setting. All participants received a 1-hour diabetes education class and a personalized diabetes report card at baseline. Intervention arm participants were also paired with peer coaches; the protocol called for telephone interactions weekly for the first 8 weeks, then monthly for a total of 10 months. RESULTS Due to real-world constraints, follow-up was protracted, and intervention effects varied over time. The analysis that included the 68% of participants followed up by 15 months showed only a significant increase in patient activation in the intervention group. The analysis that included all participants who eventually completed follow-up revealed that intervention arm participants had significant differences in changes in systolic BP (P = .047), BMI (P = .02), quality of life (P = .003), diabetes distress (P = .004), and patient activation (P = .03), but not in HbA1c (P = .14) or LDL-C (P = .97). CONCLUSION Telephone-delivered peer coaching holds promise to improve health for individuals with diabetes living in under-resourced areas. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background Emerging evidence indicates that patients with mental health conditions (MHCs) may receive less intensive medical care. Diabetes serves as a useful condition in which to test for MHC-related disparities in care. We examined whether quality measures for diabetes care are worse for patients with or without MHCs. Methods This national, cross-sectional study included 313 586 noninstitutionalized Veterans Health Administration patients with diabetes (identified from diagnostic codes and prescriptions) whose Veterans Health Administration facility transmitted laboratory data to a central database; 76 799 (25%) had MHCs (based on diagnostic codes for depressed mood, anxiety, psychosis, manic symptoms, substance use disorders, personality disorders, and other categories). National data from Veterans Health Administration records, Medicare claims, and a national survey were linked to characterize 1999 diabetes care. Results Failure to meet diabetes performance measures was more common in patients with MHCs: unadjusted odds ratio (95% confidence interval) was 1.24 (1.22-1.27) for no hemoglobin A1c testing, 1.25 (1.23-1.28) for no low-density lipoprotein cholesterol testing, 1.05 (1.03-1.07) for no eye examination, 1.32 (1.30-1.35) for poor glycemic control, and 1.17 (1.15-1.20) for poor lipemic control. Disparities persisted after case mix adjustment and were more pronounced with specific MHCs (psychotic, manic, substance use, and personality disorders). The percentage not meeting diabetes care standards increased with increasing number of MHCs. Conclusion Patients with mental illness merit special attention in national diabetes quality improvement efforts. [ABSTRACT FROM AUTHOR]