Application of the consolidated framework for implementation research to understand implementation context of a cardiovascular disease risk-reduction intervention in rural churches.
Kristine ZimmermannNaoko MuramatsuYamilé MolinaLeslie R CarnahanStacie E GellerPublished in: Translational behavioral medicine (2023)
Rural populations in the USA face higher rates of cardiovascular disease (CVD) incidence and mortality relative to non-rural and often lack access to health-promoting evidence-based interventions (EBIs) to support CVD prevention and management. Partnerships with faith organizations offer promise for translating preventative EBIs in rural communities; however, studies demonstrating effective translation of EBIs in these settings are limited. We used the Consolidated Framework for Implementation Research (CFIR) and a multiple case study approach to understand the role of internal organizational context within 12 rural churches in the implementation of a 12-week CVD risk-reduction intervention followed by a 24-month maintenance program implemented in southernmost Illinois. The study involved qualitative analysis of key informant interviews collected before (n = 26) and after (n = 15) the intervention and monthly implementation reports (n = 238) from participating churches using a deductive analysis approach based on the CFIR. Internal context across participating churches varied around organizational climate and culture in four thematic areas: (i) religious basis for health promotion, (ii) history of health activities within the church, (iii) perceived need for the intervention, and (iv) church leader engagement. Faith organizations may be ideal partners in rural health promotion research but may vary in their interest and capacity to collaborate. Identifying contextual factors within community organizations is a first step to facilitating rural, community-based EBI implementation and outcomes.
Keyphrases
- healthcare
- health promotion
- south africa
- primary care
- cardiovascular disease
- quality improvement
- randomized controlled trial
- mental health
- public health
- physical activity
- machine learning
- cardiovascular events
- social support
- metabolic syndrome
- health information
- climate change
- cardiovascular risk factors
- hiv infected
- hepatitis c virus
- clinical trial
- adverse drug
- antiretroviral therapy
- artificial intelligence
- deep learning
- weight loss
- drug induced