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Community coalitions as a system: Effects of network change on adoption of evidence-based substance abuse prevention

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  • Valente, T.W.
  • Chich, P.C.
  • Pentz, M.A.

Abstract

Objectives. We examined the effect of community coalition network structure on the effectiveness of an intervention designed to accelerate the adoption of evidence-based substance abuse prevention programs. Methods. At baseline, 24 cities were matched and randomly assigned to 3 conditions (control, satellite TV training, and training plus technical assistance). We surveyed 415 community leaders at baseline and 406 at 18-month follow-up about their attitudes and practices toward substance abuse prevention programs. Network structure was measured by asking leaders whom in their coalition they turned to for advice about prevention programs. The outcome was a scale with 4 subscales: coalition function, planning, achievement of benchmarks, and progress in prevention activities. We used multiple linear regression and path analysis to test hypotheses. Results. Intervention had a significant effect on decreasing the density of coalition networks. The change in density subsequently increased adoption of evidence-based practices. Conclusions. Optimal community network structures for the adoption of public health programs are unknown, but it should not be assumed that increasing network density or centralization are appropriate goals. Lower-density networks may be more efficient for organizing evidence-based prevention programs in communities.

Suggested Citation

  • Valente, T.W. & Chich, P.C. & Pentz, M.A., 2007. "Community coalitions as a system: Effects of network change on adoption of evidence-based substance abuse prevention," American Journal of Public Health, American Public Health Association, vol. 97(5), pages 880-886.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2005.063644_3
    DOI: 10.2105/AJPH.2005.063644
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    1. Patterson, Megan S. & Prochnow, Tyler & Richardson, Ryan G. & Jackson, Kevin P., 2020. "Using network analysis to conduct a system-wide program evaluation within a university," Evaluation and Program Planning, Elsevier, vol. 79(C).
    2. Ken-Opurum, Jennifer & Lynch, Krystal & Vandergraff, Donna & Miller, Douglas K. & Savaiano, Dennis A., 2019. "A mixed-methods evaluation using effectiveness perception surveys, social network analysis, and county-level health statistics: A pilot study of eight rural Indiana community health coalitions," Evaluation and Program Planning, Elsevier, vol. 77(C).
    3. C. M. Straw & B. P. McCullough & C. Segars & B. Daher & M. S. Patterson, 2022. "Reimagining Sustainable Community Sports Fields of the Future: a Framework for Convergent Science-Stakeholder Decision-Making," Circular Economy and Sustainability,, Springer.
    4. Schoen, Martin W. & Moreland-Russell, Sarah & Prewitt, Kim & Carothers, Bobbi J., 2014. "Social network analysis of public health programs to measure partnership," Social Science & Medicine, Elsevier, vol. 123(C), pages 90-95.
    5. Chen T & Lu N & White AM & He H & Wu P & Hui J & Feng C & Tu XM & Zhang H & Kowalski J, 2016. "Social Network: A New Paradigm for Modeling Human Interaction: Implications for Statistical Inferences," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(1), pages 1-6, September.
    6. Hagen Wäsche & Laura Wolbring & Alexander Woll, 2021. "Physical activity promotion in an urban district: Analyzing the mechanisms of interorganizational cooperation," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-18, November.
    7. Pagliccia, Nino & Spiegel, Jerry & Alegret, Milagros & Bonet, Mariano & Martinez, Barbara & Yassi, Annalee, 2010. "Network analysis as a tool to assess the intersectoral management of health determinants at the local level: A report from an exploratory study of two Cuban municipalities," Social Science & Medicine, Elsevier, vol. 71(2), pages 394-399, July.
    8. Garney, Whitney R. & Patterson, Megan S. & Garcia, Kristen & Muraleetharan, Daenuka & McLeroy, Kenneth, 2020. "Interorganizational network findings from a nationwide cardiovascular disease prevention initiative," Evaluation and Program Planning, Elsevier, vol. 79(C).
    9. Harris, Jenine K. & Luke, Douglas A. & Burke, Ryan C. & Mueller, Nancy B., 2008. "Seeing the forest and the trees: Using network analysis to develop an organizational blueprint of state tobacco control systems," Social Science & Medicine, Elsevier, vol. 67(11), pages 1669-1678, December.
    10. Aoife De Brún & Eilish McAuliffe, 2018. "Social Network Analysis as a Methodological Approach to Explore Health Systems: A Case Study Exploring Support among Senior Managers/Executives in a Hospital Network," IJERPH, MDPI, vol. 15(3), pages 1-11, March.
    11. Colvin, Marianna L., 2017. "Mapping the inter-organizational landscape of child maltreatment prevention and service delivery: A network analysis," Children and Youth Services Review, Elsevier, vol. 73(C), pages 352-359.
    12. Rugs, Deborah & Hills, Holly A. & Moore, Kathleen A. & Peters, Roger H., 2011. "A community planning process for the implementation of evidence-based practice," Evaluation and Program Planning, Elsevier, vol. 34(1), pages 29-36, February.

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