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Development and validation of an instrument to assess institutionalization of health promotion in faith-based organizations

Author

Listed:
  • Williams, Randi M.
  • Zhang, Jing
  • Woodard, Nathaniel
  • Slade, Jimmie
  • Santos, Sherie Lou Zara
  • Knott, Cheryl L.

Abstract

Institutionalization of health promotion interventions occurs when the organization makes changes to support the program as a component of its routine operations. To date there has not been a way to systematically measure institutionalization of health promotion interventions outside of healthcare settings. The purpose of the present study was to develop and evaluate the initial psychometric properties of an instrument to assess institutionalization (i.e., integration) of health activities into faith-based organizations (i.e., churches). This process was informed by previous institutionalization models led by a team of experts and a community-based advisory panel. We recruited African American church leaders (N = 91) to complete a 22-item instrument. An exploratory factor analysis revealed four factors: 1) Organizational Structures (e.g., existing health ministry, health team), 2) Organizational Processes (e.g., records on health activities; instituted health policy), 3) Organizational Resources (e.g., health promotion budget; space for health activities), and 4) Organizational Communication (e.g., health content in church bulletins, discussion of health within sermons) that explained 62.3 % of the variance. The measure, the Faith-Based Organization Health Integration Inventory (FBO-HII), had excellent internal consistency reliability (α = .89) including the subscales (α = .90, .82, .81, and .87). This measure has promising initial psychometric properties for assessing institutionalization of health promotion interventions in faith-based settings.

Suggested Citation

  • Williams, Randi M. & Zhang, Jing & Woodard, Nathaniel & Slade, Jimmie & Santos, Sherie Lou Zara & Knott, Cheryl L., 2020. "Development and validation of an instrument to assess institutionalization of health promotion in faith-based organizations," Evaluation and Program Planning, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:epplan:v:79:y:2020:i:c:s0149718919302964
    DOI: 10.1016/j.evalprogplan.2020.101781
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    References listed on IDEAS

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    1. Pluye, Pierre & Potvin, Louise & Denis, Jean-Louis, 2004. "Making public health programs last: conceptualizing sustainability," Evaluation and Program Planning, Elsevier, vol. 27(2), pages 121-133, May.
    2. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    3. Johnson, Knowlton & Hays, Carol & Center, Hayden & Daley, Charlotte, 2004. "Building capacity and sustainable prevention innovations: a sustainability planning model," Evaluation and Program Planning, Elsevier, vol. 27(2), pages 135-149, May.
    4. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.
    5. Pluye, Pierre & Potvin, Louise & Denis, Jean-Louis, 2004. "Corrigendum to `Making public health programs last: conceptualizing sustainability' [Evaluation and Program Planning 27 (2004) 121-133]," Evaluation and Program Planning, Elsevier, vol. 27(4), pages 453-453, November.
    6. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    7. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    8. DeHaven, M.J. & Hunter, I.B. & Wilder, L. & Walton, J.W. & Berry, J., 2004. "Health programs in faith-based organizations: Are they effective?," American Journal of Public Health, American Public Health Association, vol. 94(6), pages 1030-1036.
    9. Weisbrod, Rita R. & Pirie, Phyllis L. & Bracht, Neil F., 1992. "Impact of a community health promotion program on existing organizations: The Minnesota Heart Health Program," Social Science & Medicine, Elsevier, vol. 34(6), pages 639-648, March.
    Full references (including those not matched with items on IDEAS)

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