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Results can inform future development of research advisory boards of older adult populations.

Community-level health data are needed to identify and prioritize the most pressing health issues at the local level.

To conduct a community-driven probability health survey of disadvantaged Chicago communities in 2015-2016.

A safety-net hospital completed questionnaire development and dissemination in close partnership with a Community Advisory Committee (CAC), so the data captured accurately reflected community priorities.

The final survey sample included 1,543 adult interviews and proxy reports for 394 children, well below our original recruitment goal. Although ideal for area probability sampling, face-to-face surveys are challenging given declining response rates. Nevertheless, these data provide representative community-level data that is otherwise unavailable.

Hyper-local data are especially critical for diverse and segregated cities such as Chicago. Lessons learned can be applied to future community surveys done by hospital systems, health departments, and community advocates to maximize the usefulness of findings.

Hyper-local data are especially critical for diverse and segregated cities such as Chicago. Lessons learned can be applied to future community surveys done by hospital systems, health departments, and community advocates to maximize the usefulness of findings.

Increasing the capacity of teachers to deliver physical education (PE) lessons that are high in moderate to vigorous physical activity (PA) is one strategy to increase the amount of exercise students receive during school. However, traditional research approaches have not directly engaged the school community as equitable partners in the intervention design process. The purpose of this article is to describe the process, outputs, and lessons learned from a school-engaged research study, which incorporates the unique needs of schools-in terms of structure, accountability measures, and array of stakeholders into the research process and design.

This article describes lessons learned from Project SHAPE, a PA intervention that used principles of school-engaged research to guide program planning, recruitment, implementation, and data dissemination.

The study team successfully partnered with 16 schools and enrolled 55 teachers and surveyed 4,773 students.

Efforts to improve PE programs can benefit from a school-engaged research approach that directly involves teachers, fosters mutually beneficial relationships, and integrates the schools' perspective in the research process.

Efforts to improve PE programs can benefit from a school-engaged research approach that directly involves teachers, fosters mutually beneficial relationships, and integrates the schools' perspective in the research process.

Point-of-care (POC) hemoglobin A1c (A1C) testing provides clinicians and diabetic patients real-time information on glycemic control. POC testing in community settings may expand reach, but feasibility is underexplored. MEK inhibitor We sought to describe challenges, opportunities, and quality control results of POC testing conducted in community food pantries.

Food bank staff who were directly involved in POC testing provided feedback in telephone interviews, weekly team calls, and quarterly open-ended surveys. We evaluated device performance using test-retest comparisons (n = 58) and comparisons between POC results and laboratory results from medical records (n = 72).

Study staff performed 1,771 POC A1c tests. Barriers were administrative, regulatory, and operational. Opportunities included ease of training and high participant satisfaction. There was high test-retest correlation (r = 0.97) and high correlation between POC results and laboratory results from medical records (r = 0.85).

Community POC testing programs are feasible and relatively accurate, but implementation requires resources and capacity building.

This trial is registered at www.clinicaltrials.gov with identifier NCT02569060, registered October 6, 2015, https//clinicaltrials.gov/ct2/show/NCT02569060.

This trial is registered at www.clinicaltrials.gov with identifier NCT02569060, registered October 6, 2015, https//clinicaltrials.gov/ct2/show/NCT02569060.

Community-engaged research (CEnR) is a promising approach to translate research into practice. The Meharry-Vanderbilt Community Engaged Research Core (CERC) was established to support academic-community partnerships with the goal of improving community health. A successful mini-grant program has been used to foster academic community partnerships. We describe the process of developing, implementing, and sustaining a grant program and discuss how the program has informed our CEnR activities.

Grant applications are solicited twice per year. Submission guidelines align with typical procedures. However, considerable guidance and support for applicants are provided. If necessary. Grant funds are awarded directly to the community partner.

The CERC has awarded nearly $250,000 to support academic-community research partnerships. Both community and academic partners reported that the opportunity was beneficial and enriched their work.

Resources provided by our mini-grant program enhance the development and sustainability of CEnR partnerships.

Resources provided by our mini-grant program enhance the development and sustainability of CEnR partnerships.

This study assessed the comprehensiveness and efficiency of existing Flint area public health community data using a novel method. One hundred thirty-eight community public health data reports were identified and screened for inclusion from Internet searches and community partner interviews.

Forty-two Centers for Disease Control and Prevention (CDC)-based health metrics were adopted as a standard for unbiased comparison. For each report, a percentage "match-to-standard" was calculated (i.e., we calculated the percentage of CDC recommended metrics that were covered in the report). The two locally generated reports with the highest match-to-standard scores were compared for overlap.

There were 138 initially identified reports, and 110 unique reports remained after duplicates were removed. Twenty public health data reports met inclusion criteria and were included in the final sample. The top local public health data report yielded a 59.5% match-to-standard, indicating a 23.8% gap in current Flint area community data.