Associations Between Sociodemographic Variables, Social Determinants of Health, and Diabetes: Findings From a Congregational Health Needs Assessment.

PURPOSE: To examine associations between sociodemographic variables, social determinants of health (SDOHs) and diabetes using health needs assessment data. DESIGN: Cross-sectional study. SETTING: Faith-based communities in the Mid-South U.S. SAMPLE: Of the 378 churches, 92 participated in the study (24% response rate); N = 828 church leaders and members completed the survey. MEASURE: The Mid-South Congregational Health Survey assessed perceived health-related needs of congregations and the communities they serve. ANALYSIS: Generalized linear mixed modeling examined the associations between sociodemographic variables (age, sex, race/ethnicity, educational level), SDOHs (affordable healthcare, healthy food, employment), and diabetes. RESULTS: Individuals with less education had lower odds of reporting all SDOHs as health needs compared to individuals with more education (ORrange = .59-.63). Men had lower odds of reporting diabetes as a health need or concern compared to women (OR = .70; 95% CI = .50, .97). African Americans had greater odds of reporting diabetes as a health need compared to individuals in the 'Other' race/ethnicity category (OR = 3.91; 95% CI = 2.20, 6.94). Individuals who reported affordable healthcare (OR = 2.54; 95% CI = 1.73, 3.72), healthy food (OR = 2.24; 95% CI = 1.55, 3.24), and employment (OR = 3.33; 95% CI = 2.29, 4.84) as health needs had greater odds of reporting diabetes as a health need compared to those who did not report these SDOHs as needs. CONCLUSIONS: Future studies should evaluate strategies to merge healthcare and faith-based organizations' efforts to address SDOHs impacting diabetes.

Perceived Health Needs of Church Leaders and Members: A Secondary Data Analysis of the Mid-South Congregational Health Survey.

Needs assessments have been successful in helping communities and congregations focus their health ministry efforts; however, most have used leader perceptions of congregational health needs. The purpose of this study was to examine and compare the self-reported needs of both church leaders and members to be addressed by their congregation. Church leaders (n = 369) and members (n = 459) from 92 congregations completed the 2019 Mid-South Congregational Health Survey. Frequencies and generalized linear mixed models (GLMM) were performed to examine the top 10 self-reported needs and associations by church role, respectively. Of the top 10 congregational needs, anxiety or depression, high blood pressure, stress, and healthy foods were ranked identically regardless of church role. Church leaders perceived obesity and diabetes to be important congregational health needs, whereas members perceived affordable health care and heart disease to be important congregational health needs. GLMM, controlling for within-church clustering and covariates, revealed church leaders were more likely than members to report obesity (odds ratio [OR]: 1.93, 95% confidence interval [CI] = [1.39, 2.67], p < .0001) and diabetes (OR: 1.73, 95% CI = [1.24, 2.41], p = .001) as congregational needs. Findings display similarities and differences in needs reported by church role. Including many perspectives when conducting congregational health needs assessments will assist the development of effective faith-based health promotion programs.

Congregational health needs by key demographic variables: Findings from a congregational health needs assessment tool.

Health needs assessments identify important issues to be addressed and assist organizations in prioritizing resources. Using data from the Mid-South Congregational Health Survey, top health needs (physical, mental, social determinants of health) were identified, and differences in needs by key demographic variables (age, sex, race/ethnicity, education) were examined. Church leaders and members (N = 828) from 92 churches reported anxiety/depression (65 %), hypertension/stroke (65 %), stress (62 %), affordable healthcare (60 %), and overweight/obesity (58 %) as the top health needs in their congregations. Compared to individuals < 55 years old and with a college degree, individuals ≥ 55 years old (ORrange=1.50-1.86) and with ≤ high school degree (ORrange=1.55-1.91) were more likely to report mental health needs (anxiety/depression; stress). African Americans were less likely to report physical health needs (hypertension/stroke; overweight/obesity) than individuals categorized as Another race/ethnicity (ORrange=0.38-0.60). Individuals with ≤ high school degree were more likely to report affordable healthcare as a need compared to individuals with some college or a college degree (ORrange=1.58). This research highlights the need for evaluators and planners to design programs that are comprehensive in their approach to addressing the health needs of congregations while also considering demographic variation that may impact program participation and engagement.

Developing a Congregational Health Needs Assessment: Lessons Learned from Using a Participatory Research Approach.

BACKGROUND: Health needs assessments help congregations identify issues of importance to them and the communities they serve. Few tools exist, with little known about the processes needed to develop such tools. OBJECTIVE: Develop a congregational health needs assessment tool and implementation protocol with community, health-care, and academic partners. METHODS: Meetings began in August 2018 to develop the Mid-South Congregational Health Needs Survey (MSCHS) and implementation protocol. Pilot testing occurred in December 2018 and feedback from 95 churches was used in modifications. RESULTS: The MSCHS includes: demographics section, a 36-item health index, and the congregation's top five needs.The implementation protocol includes steps for working with congregation leadership to identify members to complete the survey. CONCLUSIONS: Cross-disciplinary partnerships made the creation of the MSCHS and implementation protocol possible. Successes include long-term engagement across partnership sectors, organizational "buy-in," and development of a common language. These lessons can help others wanting to develop successful multi-sector partnerships.