Objective. To implement and evaluate the effectiveness of an interactive health literacy program by measuring pharmacy students' knowledge and confidence. Design. A health literacy module consisting of a lecture and workshop was incorporated into a self-care course for first-year pharmacy students. Active-learning activities included practicing health literacy tools, discussing faculty-created video vignettes, and improving readability of patient education monographs. A non-validated survey assessed knowledge and confidence before and after training. Assessment. Fifty-three students (88%) completed a pre-training survey, and 60 (100%) completed a post-training survey. Students' confidence improved in six of seven areas (p<.001). Students' knowledge significantly improved in three of 14 areas (p<.01) pertaining to the average American reading level, high-risk age groups, and correlation of late prescription refills to low health literacy. Although knowledge increased in other areas, the improvements were not significant. Conclusion. An interactive, multifaceted health literacy training program significantly improved pharmacy students' knowledge and confidence in recognizing and being able to assist patients with low health literacy.

OBJECTIVES: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health. STUDY DESIGN: A survey research design with correlational analyses was used. METHODS: A survey packet including the Community Culture Survey - Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes. RESULTS: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participants demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participants age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDCs measures of social vulnerability. CONCLUSIONS: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.