Article

Using the RE-AIM Framework to Evaluate a Physical Activity Intervention in Churches

Department of Kinesiology, 1A Natatorium, Kansas State University, Manhattan, KS 66506, USA.
Preventing chronic disease (Impact Factor: 1.96). 11/2007; 4(4):A87.
Source: PubMed

ABSTRACT Health-e-AME was a 3-year intervention designed to promote physical activity at African Methodist Episcopal churches across South Carolina. It is based on a community-participation model designed to disseminate interventions through trained volunteer health directors.
We used the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to evaluate this intervention through interviews with 50 health directors.
Eighty percent of the churches that had a health director trained during the first year of the intervention and 52% of churches that had a health director trained during the second year adopted at least one component of the intervention. Lack of motivation or commitment from the congregation was the most common barrier to adoption. Intervention activities reached middle-aged women mainly. The intervention was moderately well implemented, and adherence to its principles was adequate. Maintenance analyses showed that individual participants in the intervention's physical activity components continued their participation as long as the church offered them, but churches had difficulties continuing to offer physical activity sessions. The effectiveness analysis showed that the intervention produced promising, but not significant, trends in levels of physical activity.
Our use of the RE-AIM framework to evaluate this intervention serves as a model for a comprehensive evaluation of the health effects of community programs to promote health.

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    • "Future research should consider online websites for the delivery of faith-based health education pamphlets and training materials to increase proficiency in health-related individual/small-group counseling. Many studies have noted the importance of involving the key faith leader for program success (Bopp et al., 2007; Campbell et al., 2007; DeHaven et al., 2004; Demark-Wahnefried et al., 2000; Peterson et al., 2002). Our results corroborate these findings such that faith leader involvement was minimal in most HWA activities . "
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    • "Future research should consider online websites for the delivery of faith-based health education pamphlets and training materials to increase proficiency in health-related individual/small-group counseling. Many studies have noted the importance of involving the key faith leader for program success (Bopp et al., 2007; Campbell et al., 2007; DeHaven et al., 2004; Demark-Wahnefried et al., 2000; Peterson et al., 2002). Our results corroborate these findings such that faith leader involvement was minimal in most HWA activities . "
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    ABSTRACT: Introduction. Most of the U.S. population is affiliated with faith-based organizations (FBOs) and regularly attends services. Health and wellness activities (HWA) delivered through FBOs have great potential for reach, but the number of FBOs offering health programs and the characteristics of these programs are currently unknown. The purpose of this study was to better understand rates, characteristics, and factors influencing faith-based HWA across the United States. Method. Faith leaders (N = 844) completed an online survey assessing faith leader demographics and health, FBO demographics (e.g., denomination, size, location, diversity), and details of HWA within their FBO. Results. Respondents were primarily White (93%), male (72%), middle-aged (53.2 ± 12.1 years), and affiliated with Methodist (42.5%) or Lutheran (20.2%) denominations. Although most faith leaders report meeting physical activity recommendations (56.5%), most were overweight/obese (77.4%), did not meet fruit and vegetable recommendations (65.9%), and had been diagnosed with 1.25 ± 1.36 chronic diseases. Respondents reported offering 4.8 ± 3 HWA within their FBO over the past 12 months. Most common HWA included clubs/teams related to physical activity (54.8%), individual-level health counseling (54%), and providing health/wellness pamphlets. Leaders cited a lack of lay leadership (48.1%) and financial resources for staff time (47.8%) as the most common barriers to HWA. An increase in interest/awareness in health topics from FBO members was the most common facilitator for HWA (66.5%). Conclusion. Although faith-based HWA are prevalent nationally, types of HWA and the factors influencing HWA are dependent on FBO characteristics. Future faith-based interventions should consider existing capabilities and moderating factors for HWA.
    Health Promotion Practice 09/2012; DOI:10.1177/1524839912446478 · 0.55 Impact Factor
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    Preventing chronic disease 11/2007; 4(4):A83. · 1.96 Impact Factor
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