Skip to main content
Log in

Building Local Infrastructure for Community Adoption of Science-Based Prevention: The Role of Coalition Functioning

  • Published:
Prevention Science Aims and scope Submit manuscript

Abstract

The widespread adoption of science-based prevention requires local infrastructures for prevention service delivery. Communities That Care (CTC) is a tested prevention service delivery system that enables a local coalition of community stakeholders to use a science-based approach to prevention and improve the behavioral health of young people. This paper uses data from the Community Youth Development Study (CYDS), a community-randomized trial of CTC, to examine the extent to which better internal team functioning of CTC coalitions increases the community-wide adoption of science-based prevention within 12 communities, relative to 12 matched comparison communities. Specifically, this paper examines the potential of both a direct relationship between coalition functioning and the community-wide adoption of science-based prevention and a direct relationship between functioning and the coalition capacities that ultimately enable the adoption of science-based prevention. Findings indicate no evidence of a direct relationship between four dimensions of coalition functioning and the community-wide adoption of a science-based approach to prevention, but suggest a relationship between coalition functioning and coalition capacities (building new member skills and establishing external linkages with existing community organizations) that enable science-based prevention.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Allen, N. E. (2005). A multi-level analysis of community coordinating councils. American Journal of Community Psychology, 35, 49–63.

    Article  PubMed  Google Scholar 

  • Allen, N. E., Javdani, S., Lehrner, A. L., & Walden, A. L. (2012). ‘Changing the text’: Modeling council capacity to produce institutionalized change. American Journal of Community Psychology, 49, 317–331.

    Article  PubMed  Google Scholar 

  • Arthur, M. W., Glaser, R. R., & Hawkins, J. D. (2005). Steps towards community-level resilience: Community adoption of science-based prevention programming. In R. D. Peters, B. Leadbeater, & R. J. McMahon (Eds.), Resilience in children, families, and communities: Linking context to practice and policy (pp. 177–194). New York: Kluwer Academic/Plenum.

    Chapter  Google Scholar 

  • Arthur, M. W., Briney, J. S., Hawkins, J. D., Abbott, R. D., Brooke-Weiss, B. L., & Catalano, R. F. (2007). Measuring risk and protection in communities using the Communities That Care Youth Survey. Evaluation and Program Planning, 30, 197–211.

    Article  PubMed  Google Scholar 

  • Arthur, M. W., Hawkins, J. D., Brown, E. C., Briney, J. S., Oesterle, S., & Abbott, R. D. (2010). Implementation of the Communities That Care prevention system by coalitions in the Community Youth Development Study. Journal of Community Psychology, 38, 245–258.

    Article  PubMed Central  PubMed  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.

    Article  CAS  PubMed  Google Scholar 

  • Berkey, C. S., Hoaglin, D. C., Mosteller, F., & Colditz, G. A. (1995). A random-effects regression model for meta-analysis. Statistics in Medicine, 14, 395–411.

    Article  CAS  PubMed  Google Scholar 

  • Brown, C. H., Wang, W., Kellam, S. G., Muthén, B. O., Petras, H., Toyinbo, P., . . . Windham, A. (2008). Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspectives of person, place, and time. Drug and Alcohol Dependence, 95(Suppl. 1), S74--S104

  • Brown, E. C., Hawkins, J. D., Arthur, M. W., Briney, J. S., & Abbott, R. D. (2007). Effects of Communities That Care on prevention services systems: Outcomes from the Community Youth Development Study at 1.5 years. Prevention Science, 8, 180–191.

  • Brown, E. C., Hawkins, J. D., Rhew, I. C., Shapiro, V. B., Abbott, R. D., Oesterle, S., . . . Catalano, R. F. (2014a). Prevention system mediation of Communities That Care effects on youth outcomes. Prevention Science, 15, 623–632.

  • Brown, L. D., Feinberg, M. E., & Greenberg, M. T. (2010). Determinants of community coalition ability to support evidence-based programs. Prevention Science, 11, 287–297.

  • Brown, L. D., Feinberg, M. E., & Greenberg, M. T. (2012). Measuring coalition functioning: Refining constructs through factor analysis. Health Education & Behavior, 39, 486–497.

  • Brown, L.D., Feinberg, M.E., Shapiro, V.B., Greenberg, M.T. (2014b). Reciprocal relations between coalition functioning and provision of implementation support. Prevention Science, 16(1), 101–109

  • Campbell, M. K., Fayers, P. M., & Grimshaw, J. M. (2005). Determinants of the intracluster correlation coefficient in cluster randomized trials: The case of implementation research. Clinical Trials, 2, 99–107.

    Article  PubMed  Google Scholar 

  • Coulton, C. (2005). The place of community in social work practice research: Conceptual and methodological developments. Social Work Research, 29, 73–86.

    Article  Google Scholar 

  • Crowley, K. M., Yu, P., & Kaftarian, S. J. (2000). Prevention actions and activities make a difference: A structural equation model of coalition building. Evaluation and Program Planning, 23, 381–388.

    Article  Google Scholar 

  • Fagan, A. A., Hanson, K., Hawkins, J. D., & Arthur, M. W. (2009). Translational research in action: Implementation of the Communities That Care prevention system in 12 communities. Journal of Community Psychology, 37, 809–829.

    Article  PubMed Central  PubMed  Google Scholar 

  • Feinberg, M. E., Greenberg, M. T., & Osgood, D. (2004). Readiness, functioning, and perceived effectiveness in community prevention coalitions: A study of Communities That Care. American Journal of Community Psychology, 33, 163–176.

    Article  PubMed  Google Scholar 

  • Florin, P., Mitchell, R., & Stevenson, J. (1993). Identifying training and technical assistance needs in community coalitions: A developmental approach. Health Education Research, 8, 417–432.

    Article  CAS  PubMed  Google Scholar 

  • Florin, P., Mitchell, R., Stevenson, J., & Klein, I. (2000). Predicting intermediate outcomes for prevention coalitions: A developmental perspective. Evaluation and Program Planning, 23, 341–346.

    Article  Google Scholar 

  • Foster-Fishman, P. G., Berkowitz, S. L., Lounsbury, D. W., Jacobson, S., & Allen, N. A. (2001). Building collaborative capacity in community coalitions: A review and integrative framework. American Journal of Community Psychology, 29, 241–261.

    Article  CAS  PubMed  Google Scholar 

  • Gloppen, K. M., Arthur, M. W., Hawkins, J. D., & Shapiro, V. B. (2012). Sustainability of the Communities That Care prevention system by coalitions participating in the Community Youth Development Study. Journal of Adolescent Health, 51, 259–264.

    Article  PubMed Central  PubMed  Google Scholar 

  • Gomez, B. J., Greenberg, M. T., & Feinberg, M. E. (2005). Sustainability of community coalitions: An evaluation of Communities That Care. Prevention Science, 6, 199–202.

    Article  PubMed  Google Scholar 

  • Haggerty, K. P., & Shapiro, V. B. (2013). Science-based prevention through Communities That Care: A model of social work practice for public health. Social Work in Public Health, 28, 349–365.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hawkins, J. D., Catalano, R. F., & Associates. (1992). Communities That Care: Action for drug abuse prevention (1st ed.). San Francisco: Jossey-Bass.

    Google Scholar 

  • Hawkins, J. D., Catalano, R. F., & Arthur, M. W. (2002). Promoting science-based prevention in communities. Addictive Behaviors, 27, 951–976.

    Article  PubMed  Google Scholar 

  • Hawkins, J. D., Catalano, R. F., Arthur, M. W., Egan, E., Brown, E. C., Abbott, R. D., & Murray, D. M. (2008). Testing Communities That Care: The rationale, design and behavioral baseline equivalence of the Community Youth Development Study. Prevention Science, 9, 178–190.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hays, C. E., Hays, S. P., DeVille, J. O., & Mulhall, P. F. (2000). Capacity for effectiveness: The relationship between coalition structure and community impact. Evaluation and Program Planning, 23, 373–379.

    Article  Google Scholar 

  • Hedges, L. V. (1981). Distribution theory for Glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107–128.

    Article  Google Scholar 

  • Hedges, L. V., & Hedberg, E. C. (2007). Intraclass correlation values for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29, 60–87.

    Article  Google Scholar 

  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Orlando: Academic Press.

  • Himmelman, A. T., Johnson, D., Kaye, G., Salzman, P., & Wolff, T. (2001). Roundtable discussion and final comments. American Journal of Community Psychology, 29, 205–2011.

    Article  Google Scholar 

  • Kegler, M. C., & Swan, D. W. (2012). Advancing coalition theory: The effect of coalition factors on community capacity mediated by member engagement. Health Education Research, 27, 572–584.

    Article  PubMed Central  PubMed  Google Scholar 

  • Kegler, M. C., Steckler, A., McLeroy, K., & Malek, S. H. (1998). Factors that contribute to effective community health promotion coalitions: A study of 10 Project ASSIST coalitions in North Carolina. Health Education and Behavior, 25, 338–353.

    Article  CAS  PubMed  Google Scholar 

  • Kuklinski, M. R., Briney, J. S., Hawkins, J. D., & Catalano, R. F. (2012). Cost-benefit analysis of Communities That Care outcomes at eighth grade. Prevention Science, 13, 150–161.

    Article  PubMed Central  PubMed  Google Scholar 

  • Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks: Sage.

    Google Scholar 

  • Mizrahi, T., & Rosenthal, B. B. (2001). Complexities of coalition building: Leaders’ successes, strategies, struggles, and solutions. Social Work, 46, 63–77.

    Article  CAS  PubMed  Google Scholar 

  • Murray, D. M., & Blistein, J. L. (2003). Methods to reduce the impact of intraclass correlation in group-randomized trials. Evaluation Review, 27, 79–103.

    Article  PubMed  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2010). Mplus 6.0. Los Angeles: Muthén & Muthén.

    Google Scholar 

  • O'Connell, M. E., Boat, T., & Warner, K. E. (Eds.). (2009). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, DC: National Academies Press.

    Google Scholar 

  • Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15, 209–233.

    Article  PubMed  Google Scholar 

  • Quinby, R. K., Fagan, A. A., Hanson, K., Brooke-Weiss, B., Arthur, M. W., & Hawkins, J. D. (2008). Installing the Communities That Care prevention system: Implementation progress and fidelity in a randomized controlled trial. Journal of Community Psychology, 36, 313–332.

    Article  Google Scholar 

  • Raudenbush, S. W. (1994). Random effects models. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 301–321). New York: Russell Sage Foundation.

  • Roberts-DeGennaro, M., & Mizrahi, T. (2005). Coalitions as social change agents. In M. Weil (Ed.), The handbook of community practice (pp. 305–318). Thousand Oaks, CA: Sage.

    Chapter  Google Scholar 

  • Roussos, S. T., & Fawcett, S. B. (2000). A review of collaborative partnerships as a strategy for improving community health. Annual Review of Public Health, 21, 369–402.

    Article  CAS  PubMed  Google Scholar 

  • Shapiro, V. B., Hawkins, J. D., Oesterle, S., Monahan, K. C., Brown, E. C., & Arthur, M. W. (2013a). Variation in the effect of Communities That Care on community adoption of a scientific approach to prevention. Journal of the Society for Social Work and Research, 4, 154–164.

    Article  Google Scholar 

  • Shapiro, V. B., Oesterle, S., Abbott, R. D., Arthur, M. W., & Hawkins, J. D. (2013b). Measuring dimensions of coalition functioning for effective and participatory community practice. Social Work Research, 37, 349–359.

    Article  PubMed Central  PubMed  Google Scholar 

  • Shapiro, V. B., Oesterle, S., & Hawkins, J. D. (2015). Relating coalition capacity to the adoption of science-based prevention in communities: Evidence from a randomized trial of Communities That Care. American Journal of Community Psychology, 55, 1–12.

    Article  PubMed  Google Scholar 

  • Shortell, S., Zukoski, A., Alexander, J., Bazzoli, G., Conrad, D., Hasnain-Wynia, R., . . . Margolin, F. (2002). Evaluating partnerships for community health improvement: Tracking the footprints. Journal of Health Politics, Policy and Law, 27, 49–91.

  • Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422–445.

    Article  PubMed  Google Scholar 

  • Society for Prevention Research (2009). A call for bold action to support prevention programs and policies to achieve greater public health and economic impact. Position Statement of the Society for Prevention Research Task Force on Type 2 Translational Research. Retrieved from http://www.preventionresearch.org/SPR_T2_Task_Force_Position_Statement.pdf.

  • Spoth, R., Greenberg, M., Bierman, K., & Redmond, C. (2004). PROSPER community-university partnership model for public education systems: Capacity-building for evidence-based, competence-building prevention. Prevention Science, 5, 31–39.

    Article  PubMed  Google Scholar 

  • Spoth, R., Redmond, C., Clair, S., Shin, C., Greenberg, M., & Feinberg, M. (2011). Preventing substance misuse through community-university partnerships: Randomized controlled trial outcomes 4(1/2) years past baseline. American Journal of Preventive Medicine, 40, 440–447.

    Article  PubMed Central  PubMed  Google Scholar 

  • Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A., . . . Hawkins, J. D., Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors. (2013). Addressing core challenges for the next generation of type 2 translation research and systems: The Translation Science to Population Impact (TSci Impact) Framework. Prevention Science, 14, 319–351.

  • Steketee, M., Oesterle, S., Jonkman, H., Hawkins, J. D., Haggerty, K. P., & Aussems, C. (2013). Transforming prevention systems in the United States and the Netherlands using Communities That Care. European Journal on Criminal Policy and Research, 19, 99–116.

    Article  PubMed Central  PubMed  Google Scholar 

  • Taljaarda, M., Donnerb, A., Villarc, J., Wojdylad, D., Velazcof, A., Batagliag, V., . . . Acosta, A. (2008). Intracluster correlation coefficients from the 2005 WHO Global Survey on Maternal and Perinatal Health: Implications for implementation research. Paediatric and Perinatal Epidemiology, 22, 117–125.

  • Wandersman, A., Duffy, J., Flaspohler, P., Noonan, R., Lubell, K., Stillman, L., . . . Saul, J. (2008). Bridging the gap between prevention research and practice: The Interactive Systems Framework for Dissemination and Implementation. American Journal of Community Psychology, 41, 171–181.

  • Wells, R., Ward, A. J., Feinberg, M., & Alexander, J. A. (2008). What motivates people to participate more in community-based coalitions? American Journal of Community Psychology, 42, 94–104.

    Article  PubMed  Google Scholar 

  • Wilson, D. B. (2005). Meta-analysis macros for SAS, SPSS, and Strata. Retrieved from http://mason.gmu.edu/~dwilsonb/ma.html.

  • Zakocs, R. C., & Edwards, E. M. (2006). What explains community coalition effectiveness? A review of the literature. American Journal of Preventive Medicine, 30, 351–361.

    Article  PubMed  Google Scholar 

  • Zakocs, R. C., & Guckenburg, S. (2007). What coalition factors foster community capacity? Lessons learned from the Fighting Back Initiative. Health Education and Behavior, 34, 354–375.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Institute on Drug Abuse (R01 DA015183-01A1) with co-funding from the National Cancer Institute, National Institute of Child Health and Human Development, National Institute of Mental Health (T32 MH20012), National Institute on Alcohol Abuse and Alcoholism, the Center for Substance Abuse Prevention, and the Society of Social Work & Research. The content of this paper does not represent the official views of these agencies. The authors acknowledge the CYDS communities and the thoughtful review of Peter J. Pecora.

Conflict of Interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valerie B. Shapiro.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shapiro, V.B., Hawkins, J.D. & Oesterle, S. Building Local Infrastructure for Community Adoption of Science-Based Prevention: The Role of Coalition Functioning. Prev Sci 16, 1136–1146 (2015). https://doi.org/10.1007/s11121-015-0562-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11121-015-0562-y

Keywords

Navigation