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Effects of Sectoral Diversity on Community Coalition Processes and Outcomes

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Abstract

Collaboration with diverse partners is challenging but essential for the implementation of prevention programs and policies. Increased communication with partners from diverse sectors may help community coalitions overcome the challenges that diversity presents. We examined these issues empirically in a study of 17 substance use prevention coalitions in Mexico. Building on coalition and workgroup literatures, we hypothesized that sectoral diversity would improve outcomes but undermine coalition processes. Conversely, we expected uniformly positive effects from higher levels of intersectoral communication. Data are from a 2015 survey of 211 members within the 17 community coalitions. Regression models used sectoral diversity and intersectoral communication to predict coalition processes (cohesion, leader-member communication, efficiency) and outcomes (community support, community improvement, sustainability planning). Sectoral diversity was negatively associated with coalition processes and was not associated with coalition outcomes. Intersectoral communication was positively associated with two of the three measures of coalition outcomes but not associated with coalition processes. Our findings concur with those from prior research indicating that sectoral diversity may undermine coalition processes. However, more communication between sectors may facilitate the coalition outcomes of community support and sustainability planning. Skilled team leaders and participatory decision making may also help coalitions promote intersectoral communication, thereby engaging diverse community sectors to implement preventive interventions and actualize sustained public health impact.

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References

  • Ancona, D. G., & Caldwell, D. F. (1992). Demography and design: Predictors of new product team performance. Organization Science, 3, 321–341.

    Article  Google Scholar 

  • Breslow, J. M. (2015). The Staggering Death Toll of Mexico’s Drug War. Frontline. Retrieved from http://www.pbs.org/wgbh/frontline/article/the-staggering-death-toll-of-mexicos-drug-war/.

  • Brewer, M. B., & Kramer, R. M. (1985). The psychology of intergroup attitudes and behavior. Annual Review of Psychology, 36, 219–243.

    Article  Google Scholar 

  • 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. doi:10.1007/s11121-010-0173-6.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown, L. D., Feinberg, M. E., & Greenberg, M. T. (2012). Measuring coalition functioning: Refining constructs through factor analysis. Health Education & Behavior, 39, 486–497. doi:10.1177/1090198111419655.

    Article  Google Scholar 

  • Brown, L. D., Alter, T. R., Brown, L. G., Corbin, M. A., Flaherty-Craig, C., McPhail, L. G., et al. (2013). Rural embedded assistants for community health (REACH) network: First-person accounts in a community-university partnership. American Journal of Community Psychology, 51(1–2), 206–216. doi:10.1007/s10464-012-9515-9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown, L. D., Feinberg, M. E., Shapiro, V. B., & Greenberg, M. T. (2015a). Reciprocal relations between coalition characteristics and the provision of implementation support. Prevention Science, 16, 101–109. doi:10.1007/s11121-013-0447-x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown, L. D., Redelfs, A. H., Taylor, T. J., & Messer, R. L. (2015b). Comparing the functioning of youth and adult partnerships for health promotion. American Journal of Community Psychology, 56, 25–35. doi:10.1007/s10464-015-9730-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brown, L. D., Chilinski, S., Ramos, R., Gallegos, N., & Feinberg, M. E. (2016). Community prevention coalition context and capacity assessment: Comparing the United States and Mexico. Health Education & Behavior, 43, 145–155. doi:10.1177/1090198115596165.

    Article  Google Scholar 

  • Butterfoss, F. D. (2006). Process evaluation for community participation. Annual Review of Public Health, 27, 323–340.

    Article  PubMed  Google Scholar 

  • Chen, X., Ender, P., Mitchell, M., & Wells, C. (2003). Regression with SAS Retrieved from http://www.ats.ucla.edu/stat/sas/webbooks/reg/default.htm.

  • Chinman, M., Hunter, S. B., Ebener, P., Paddock, S. M., Stillman, L., Imm, P., & Wandersman, A. (2008). The getting to outcomes demonstration and evaluation: An illustration of the prevention support system. American Journal of Community Psychology, 41, 206–224. doi:10.1007/s10464-008-9163-2.

    Article  PubMed  PubMed Central  Google Scholar 

  • De Leeuw, J., & Meijer, E. (Eds.). (2008). Handbook of multilevel analysis. New York: Springer.

    Google Scholar 

  • Feinberg, M. E., Jones, D., Greenberg, M. T., Osgood, D. W., & Bontempo, D. (2010). Effects of the communities that care model in Pennsylvania on change in adolescent risk and problem behaviors. Prevention Science, 11, 163–171.

    Article  PubMed  PubMed Central  Google Scholar 

  • Floyd, L. J., Latimer, W. W., Vasquez, M., & O’Brien, M. (2005). Substance use among school-based youths in northern Mexico. The American Journal on Addictions, 14, 464–470. doi:10.1080/10550490500247164.

    Article  PubMed  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 

  • Frieden, T. R. (2014). Six components necessary for effective public health program implementation. American Journal of Public Health, 104, 17–22.

    Article  PubMed  PubMed Central  Google Scholar 

  • Geneau, R., Legowski, B., & Stachenko, S. (2009). An intersectoral network for chronic disease prevention: The case of the Alberta healthy living network. Chronic Diseases in Canada, 29, 153–161.

    CAS  PubMed  Google Scholar 

  • Gruenfeld, D. H., Mannix, E. A., Williams, K. Y., & Neale, M. A. (1996). Group composition and decision making: How member familiarity and information distribution affect process and performance. Organizational Behavior and Human Decision Processes, 67, 1–15.

    Article  Google Scholar 

  • Hackman, J. R. (1987). The design of work teams. In J. W. Lorsch (Ed.), Handbook of organizational behavior (pp. 315–342). Englewood Cliffs: Prentice-Hall.

    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  PubMed Central  Google Scholar 

  • Hawkins, J. D., Oesterle, S., Brown, E. C., Arthur, M. W., Abbott, R. D., Fagan, A. A., & Catalano, R. F. (2009). Results of a type 2 translational research trial to prevent adolescent drug use and delinquency: A test of communities that care. Archives of Pediatric and Adolescent Medicine, 163, 789–798.

    Article  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. doi:10.1016/s0149-7189(00)00026-4.

    Article  Google Scholar 

  • Heinle, K., Ferreira, O. R., & Shirk, D. A. (2016). Drug violence in Mexcio: Data and analysis through 2015. San Diego: Justice in Mexico, University of San Diego.

    Google Scholar 

  • Hien, L. T. T., Takano, T., Seino, K., Ohnishi, M., & Nakamura, K. (2008). Effectiveness of a capacity-building program for community leaders in a healthy living environment: A randomized community-based intervention in rural Vietnam. Health Promotion International, 23, 354–364.

    Article  Google Scholar 

  • Horwitz, S. K., & Horwitz, I. B. (2007). The effects of team diversity on team outcomes: A meta-analytic review of team demography. Journal of Management, 33, 987–1015.

    Article  Google Scholar 

  • Huberman, B. A., & Glance, N. S. (1993). Diversity and collective action. In H. Haken & A. Mikhailov (Eds.), Interdisciplinary approaches to nonlinear complex systems (pp. 44–64). New York: Springer.

    Chapter  Google Scholar 

  • INEGI. (2010). Mexico en cifras: Informaction nacional, pro entidad federativa y municipios. Retrieved from http://www3.inegi.org.mx/sistemas/mexicocifras/default.aspx?e=08.

  • James, L. R., Demare, R. G., & Wolf, G. (1993). RWG: An assessment of within-group interrater agreement. Journal of Applied Psychology, 78, 306–309.

    Article  Google Scholar 

  • Jehn, K., Northcraft, G., & Neale, M. (1997). Opening Pandora’s box: A field study of diversity, conflict, and performance in workgroups (working paper). Philadelphia: Wharton School.

    Google Scholar 

  • Johns, S. (2010). Early childhood service development and intersectoral collaboration in rural Australia. Australian Journal of Primary Health, 16, 40–46.

    Article  PubMed  Google Scholar 

  • Jones, E. C. (2004). Wealth-based trust and the development of collective action. World Development, 32, 691–711.

    Article  Google Scholar 

  • Kegler, M. C., & Swan, D. W. (2011). An initial attempt at operationalizing and testing the community coalition action theory. Health Education & Behavior, 38, 261–270. doi:10.1177/1090198110372875.

    Article  Google Scholar 

  • Li, C. (2014). Top management team diversity in fostering organizational ambidexterity: Examining TMT integration mechanisms. Innovation: Management, Policy & Practice, 16, 303–322.

    Article  Google Scholar 

  • Luke, D. A., Harris, J. K., Shelton, S., Allen, P., Carothers, B. J., & Mueller, N. B. (2010). Systems analysis of collaboration in 5 national tobacco control networks. American Journal of Public Health, 100, 1290–1297.

    Article  PubMed  PubMed Central  Google Scholar 

  • Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology: European Journal of Research Methods for the Behavioral & Social Sciences, 1, 85–91.

    Article  Google Scholar 

  • Malizia, E. E., & Ke, S. (1993). The influence of economic diversity on unemployment and stability. Journal of Regional Science, 33, 221–235.

    Article  Google Scholar 

  • Maskill, C., & Hodges, I. (2001). Intersectoral initiatives for improving the health of local communities: A literature review: Ministry of Health.

  • Medina-Mora, M. E., Villatoro-Velázquez, J. A., Fleiz-Bautista, C., Téllez-Rojo, M. M., Mendoza-Alvarado, L. R., Romero-Martínez, M., et al. (2012). Encuesta nacional de Adicciones 2011: Reporte de alcohol. Mexico City: Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz; Instituto Nacional de Salud Pública; Secretaría de Salud.

    Google Scholar 

  • Nowell, B. (2009). Profiling capacity for coordination and systems change: The relative contribution of stakeholder relationships in interorganizational collaboratives. American Journal of Community Psychology, 44, 196–212. doi:10.1007/s10464-009-9276-2.

    Article  PubMed  Google Scholar 

  • Office of National Drug Control Policy. (2015). National Drug Control Strategy. Washington DC: Office of National Drug Control Policy.

    Google Scholar 

  • Orwin, R. G., Edwards, J. M., Buchanan, R. M., Flewelling, R. L., & Landy, A. L. (2012). Data-driven decision making in the prevention of substance-related harm: Results from the Strategic prevention framework state incentive grant program. Contemporary Drug Problems: An Interdisciplinary Quarterly, 39, 73–106.

    Article  Google Scholar 

  • Ostrom, E., Burger, J., Field, C. B., Norgaard, R. B., & Policansky, D. (1999). Revisiting the commons: Local lessons, global challenges. Science, 284, 278–282.

    Article  CAS  PubMed  Google Scholar 

  • Pettigrew, T. F., & Tropp, L. R. (2006). A meta-analytic test of intergroup contact theory. Journal of Personality and Social Psychology, 90, 751.

    Article  PubMed  Google Scholar 

  • Ramanadhan, S., Salhi, C., Achille, E., Baril, N., D’Entremont, K., Grullon, M., et al. (2012). Addressing cancer disparities via community network mobilization and intersectoral partnerships: A social network analysis. PloS One, 7, e32130.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Reynales-Shigematsu, L. M., Guerrero-López, C. M., Lazcano-Ponce, E., Villatoro-Velázquez, J. A., Medina-Mora, M. E., Fleiz-Bautista, C., et al. (2012). Encuesta nacional de adicciones 2011: Reporte de tabaco. In Mexico City: Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz; Instituto Nacional de Salud Pública. Secretaría de: Salud.

    Google Scholar 

  • Robert Wood Johnson Foundation. (2016). Removing barriers to better health. Retrieved from https://www.rwjf.org/.

  • 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. doi:10.1023/B:PREV.0000013979.52796.8b.

    Article  PubMed  Google Scholar 

  • Staw, C., & Nemeth, C. (1989). The tradeoffs of social control and innovation in groups and organizations. Advances in Experimental Social Psychology, 22, 175–210.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Needham Heights: Pearson.

    Google Scholar 

  • van Dijk, H., van Engen, M. L., & van Knippenberg, D. (2012). Defying conventional wisdom: A meta-analytical examination of the differences between demographic and job-related diversity relationships with performance. Organizational Behavior and Human Decision Processes, 119, 38–53.

    Article  Google Scholar 

  • Villatoro-Velázquez, J., Medina-Mora, M., Fleiz-Bautista, C., Téllez-Rojo, M., Mendoza-Alvarado, L., Romero-Martínez, M., et al. (2012). Encuesta nacional de adicciones 2011: Reporte de drogas. Mexico City: Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz / Secretaría de Salud.

    Google Scholar 

  • 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(1–2), 94–104.

    Article  PubMed  Google Scholar 

  • Yang, E., Foster-Fishman, P., Collins, C., & Ahn, S. (2012). Testing a comprehensive community problem-solving framework for community coalitions. Journal of Community Psychology, 40, 681–698. doi:10.1002/jcop.20526.

    Article  Google Scholar 

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Acknowledgements

This research was supported by a grant from the US Embassy in Mexico. Additionally, this study was supported in part by the US National Cancer Institute (NCI) through a Community Networks Program Center grant, U54 CA153505. Findings and recommendations herein are not official statements of the US Embassy or the NCI. We are grateful for the time contributed by the many coalition members who participated in this study. We also acknowledge the leadership of Rebeca Ramos, Nora Gallegos, and Apolonia Hernandez of the Alliance of Border Collaboratives, without whom this research would not have been possible. We thank Karen Phillips for her scientific review and editorial assistance with the manuscript.

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Correspondence to Louis D. Brown.

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This research was supported by a grant from the US Embassy in Mexico. Additionally, this study was supported in part by the U.S. National Cancer Institute (NCI) through a Community Networks Program Center grant, U54 CA153505. Findings and recommendations herein are not official statements of the U.S. Embassy or the NCI.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

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Informed consent was obtained from all individual participants included in the study.

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Brown, L.D., Wells, R., Jones, E.C. et al. Effects of Sectoral Diversity on Community Coalition Processes and Outcomes. Prev Sci 18, 600–609 (2017). https://doi.org/10.1007/s11121-017-0796-y

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