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Statistical analyses of health and disease in rural communities is frequently limited by low sample counts. Still, some studies indicate increased risk for some diseases even after adjustment for known risk factors. It has been hypothesized that the context of community formation in rural areas facilitates the propagation of genetic founder effectspotentially impacting disease susceptibility. However, outright examination of genetic diversity in such communities has not been performed. Our objective was to engage otherwise research-inexperienced rural communities of largely European descent in genomic research in the context of cancer susceptibility. From September 2015 to February 2016, we implemented a systematic process of progressive community engagement. This iterative method sought project buy-in from first the town mayor, then village council. If approved by both, a focus group of community members examined how residents might view the research, informed consent and specimen collection, and issues of privacy. We were successful in engaging three of the four communities approached for the research project. There was universal enthusiasm for the project by all mayors and village councils. The focus groups' main point of discussion involved wording in the informed consent, with little concern regarding the research question or privacy. Perhaps contrary to popular thought, we found each community we approached to be both welcoming and enthusiastic about collaborating in research on genomic diversity. The systematic method of engagement did much to preserve community respect and autonomy and facilitated buy-in.

African American (AA) men remain one of the most disconnected groups from health care. This study examines the association between AA men's rating of health care and rating of their personal physician. The sample included 12,074 AA men aged 18 years or older from the 2003 to 2006 waves of the Consumer Assessment of Healthcare Providers and Systems Adult Commercial Health Plan Survey. Multilevel models were used to obtain adjusted means rating of health care systems and personal physician, and the relationship of ratings with the rating of personal physician. The adjusted means were 80 (on a 100-point scale) for most health ratings and composite health care scores: personal physician (83.9), specialist (83.66), health care (82.34), getting needed care (89.57), physician communication (83.17), medical staff courtesy (86.58), and customer service helpfulness (88.37). Physician communication was the strongest predictor for physician rating. AA men's health is understudied, and additional research is warranted to improve how they interface with the health care system.

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