Abstract: A Comprehensiveevaluation of Community-Based Programs to Reduce Health Disparities Among Minority Communities in Florida (Society for Social Work and Research 27th Annual Conference - Social Work Science and Complex Problems: Battling Inequities + Building Solutions)

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A Comprehensiveevaluation of Community-Based Programs to Reduce Health Disparities Among Minority Communities in Florida

Schedule:
Thursday, January 12, 2023
Laveen A, 2nd Level (Sheraton Phoenix Downtown)
* noted as presenting author
Hui Huang, PhD, MSW, Associate Professor, Florida International University, Davie, FL
Melissa Howard, PhD, Clinical Associate Professor, Florida International University, Miami, FL
Sofia Fernandez, PhD, MSW, Assistant Professor, Florida International University, Miami, FL
Maryam Rafieifar, PhD, Assistant Professor, Montclair State University, Montclair, NJ
Maria Claudia Pinzon, MD, Research Associate, Florida International University, Miami, FL
Katherine Perez, BS, Program Coordinator, Florida International University, Miami, FL
Courtney Wilson, PhD, MSW, Assistant Professor, Florida International University, Miami, FL
Background and Purpose: The Closing the Gap (CTG) grant program in Florida funds communities, faith-based, and other organizations to eliminate health disparities. CTG was established by Florida’s Reducing Racial and Ethnic Health Disparities Closing the Gap Act in 2000 to achieve health equity and eliminate health disparities for Florida’s minorities (Florida Senate, 2019, Fla. Stat § 381.7351 – 381.7356). From 2018 to 2021, the CTG grant program funded 21 community-based organizations (CBOs) through 30 contracts. This study aimed to establish an evaluation infrastructure and evaluate the success of CTG grantees.

Methods: First, the evaluation infrastructure was established through content analysis of 30 funded contracts to identify themes to include in the evaluation metrics. Next, the evaluation used a mixed-methods approach, incorporating both qualitative and quantitative components. Quantitative data included secondary and primary data. Secondary data included the CTG grantees’ monthly deliverables, and quarterly outcome reports. Primary data were collected via a survey administered to key informants of the funded community-based agencies. Qualitative data were collected via semi-structured interviews with these key informants. Quantitative data was analyzed using descriptive analysis. Qualitative data was analyzed through thematic analysis.

Results: The researchers developed the evaluation infrastructure including specific evaluation metrics and scoring rubrics. The evaluation metrics include eight components: staffing, service delivery, program data quality, marketing, population focus, participant outcome, engagement, and social impact. Applying specific evaluation metrics and scoring rubrics, the researchers found that grantees did well on all scorable evaluation components, including staffing, service delivery, program data quality, marketing, population focus, participant outcome, and engagement. However, the available data did not allow for scoring several items on the evaluation metrics, such as evidence-based practice (EBP), participant demographic data, collaboration and partnership, and county-level impact. The key informant survey and interview showed most respondents were confident in their ability to achieve their program goals. They had collaborations with health organizations and community-based organizations. In addition, they reported facing COVID-19 specific challenges, and more than half discussed changes they had to make to continue their services. Grantees demonstrated high-levels of competence in conducting formative evaluations (i.e., needs assessments and process evaluations). However, there was less confidence in using summative evaluation activities (i.e., short/medium-term outcome or long-term impacts).

Conclusions and Implications: Overall, the CTG grantees were successful in accompolishing tasks in their contracts. It was evident that the grantees could benefit from training on health disparities, social determinants of health, grant proposal writing, and partnership building. The evaluation also found the limited use of EBP in CBOs. This finding highlighted the importance of helping CBOs identify and implement EBPs. Lastly, the evaluation found lack of data to measure community-level impact of CBOs on reducing health disparities. This finding highlighted the importance of establishing data dashboards using data from county public health departments. Moreover, accesssing such data at census-tract level or zip-code level will allow evaluators to assess community-level impact of CBOs. Overall, this study demonstrated the use of science to support CBOs and state grant makers to eliminate health inequalities.