OBJECTIVE: To determine if medication assistance programs (MAPs) provided by pharmaceutical companies were used differently by African Americans and Whites. RESEARCH DESIGN: A cross-sectional survey was conducted among patients of primary care practices from 2005 to 2007 within the Alabama Nonsteroidal Anti-Inflammatory Drug (NSAID) Patient Safety Study. SETTING: Telephone survey. PARTICIPANTS: Respondents were 568 African American and White patients reporting annual household incomes < $50,000. MAIN OUTCOME MEASURE: Use of MAPs. RESULTS: Of all patients, 12.8% used MAPs, 39.5% were African American, 75.2% were female, 69.1% were aged > 65 years, 79.8% had annual household incomes < $25,000, and 35.5% indicated that their income was inadequate to meet their basic needs. MAPs were used by 11.2% African-Americans and 14.0% Whites. After multivariable adjustment, MAP use was higher among respondents with incomes not adequate to meet basic needs (odds ratio [OR]: 2.19, 95% confidence interval [CI]: 1.17-4.08) but lower among African Americans than Whites (OR: 0.49, 95% CI: 0.25-0.95). Physician characteristics did not independently predict MAP use. CONCLUSIONS: Overall MAP use was low even among the most vulnerable, and especially among African Americans. As currently used, MAPs may contribute to disparities in medication access.

OBJECTIVES: To examine the prevalence of patient-pharmacy staff communication about medications for pain and arthritis and to assess disparities in communication by demographic, socioeconomic, and health indicators. DESIGN: Descriptive, nonexperimental, cross-sectional study. SETTING: Alabama between 2005 and 2007. PATIENTS: 687 Patients participating in the Alabama NSAID Patient Safety Study (age >or=50 years and currently taking a prescription nonsteroidal anti-inflammatory drug [NSAID]). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Communication with pharmacy staff about prescription and over-the-counter (OTC) NSAIDs was examined before and after adjustment for demographic, socioeconomic, and health indicators. RESULTS: For the entire cohort (n = 687), mean (+/-SD) age was 68.3 +/- 10.0 years, 72.8% were women, 36.4% were black, and 31.2% discussed use of prescription pain/arthritis medications with pharmacy staff. Discussing use of prescription pain/arthritis medications with pharmacy staff differed by race/gender (P < 0.001): white men (40.3%), white women (34.6%), black men (30.2%), and black women (19.8%). Even after multivariable adjustment, black women had the lowest odds of discussing their medications with pharmacy staff (odds ratio 0.40 [95% CI 0.24-0.56]) compared with white men. For the 63.0% of participants with recently overlapping prescription and OTC NSAID use, communication with pharmacy staff about OTC NSAIDs use was only 13.7% and did not vary significantly by race/gender group. CONCLUSION: Given the complex risks and benefits of chronic NSAID use, pharmacists, pharmacy staff, and patients all are missing an important opportunity to avoid unsafe prescribing and decrease medication adverse events.

Our goal was to assess the relationships between single-item health literacy screening questions and reading prescription nonsteroidal anti-inflammatory drug (NSAID) written medicine information (WMI) provided at pharmacies. The health literacy of 382 patients from primary care physician practices in Alabama was estimated using validated health literacy screening questions related to understanding written medical information (SQ1); confidence in completing medical forms alone (SQ2); and need for assistance in reading hospital materials (SQ3). Reading WMI was measured by a "Yes" response to the question, "Often the drug store gives you written information such as pamphlets or handouts along with your prescription. Have you read about the risks of NSAIDs in this written material provided by the drug store?" Relationships were assessed using generalized linear latent and mixed models. Two-thirds (67.6%) of patients read WMI. Higher estimated health literacy was associated with increased odds of reading WMI. Adjusted odds ratios (95% CI) were 2.08 (1.08-4.03); 2.09 (1.12-3.91); and 1.98 (1.04-3.77) using SQ1-SQ3. Current WMI may be unable to meet the needs of those with inadequate health literacy. Health literacy screening questions can be used to triage patients at risk for not reading WMI so they can be assisted with supplemental educational strategies.

PURPOSE: The association of race with not filling prescription medications because of cost for African-American and white patients 65 years or older was examined. METHODS: African-American and white patients age 65 years or older were recruited from the practices of 48 Alabama primary care physicians participating in the Alabama Nonsteroidal Antiinflammatory Drug Patient Safety Study. All eligible patients were asked questions related to their ability to pay for prescription medications, comorbidities, insurance status, and socioeconomic status. Baseline and follow-up telephone surveys were completed between August 2005 and April 2006. Mediation analysis was conducted to determine whether patients' perceived income inadequacy mediated the association between race and not filling medications using staged logistic regression models and adjusting for age, comorbidities, and traditional markers of socioeconomic position (income, education, and insurance status). RESULTS: Of 399 participants, 32% were African-American, 74% were women, and 53% had an annual household income of <$15,000. Patients not filling prescription medications were more likely to be African-American (50% versus 25%) and to report inadequate income to meet basic needs (61% versus 17%) (p < 0.001 for both comparisons). After adjusting for all covariates except the mediator, the odds ratio (OR) for African Americans not filling a prescription medication was 2.3 when compared with white patients. Adding the mediator (perceived income inadequacy) to the model reduced the OR to 1.4. CONCLUSION: African Americans reported markedly greater difficulty in affording prescription medications than did white patients, even after accounting for income, education, health insurance status, and comorbidities. The inability of African Americans to afford prescription medications may be better predicted by perceived income inadequacy than more traditional measures of socioeconomic status.