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Using a participatory evaluation design to create an online data collection and monitoring system for New Mexico's Community Health Councils
Affiliation:1. Family & Community Medicine, Public Health Program, MSC 09_5060, 1 University of New Mexico 87131, Albuquerque, NM 87131, United States;2. State of New Mexico Department of Health, Public Health Division, 300 San Mateo NE, Suite 902, Albuquerque, NM 87108, United States;3. Grant County Community Health Council, 1621 North Canal, Carlsbad, NM 88220, United States;4. San Miguel County Family & Community Health Council, 501 South Grand Avenue, Las Vegas, NM 87701, United States;1. Stroke Program, University of Michigan, Ann Arbor, Michigan;2. Institute for Social Research, University of Michigan, Ann Arbor, Michigan;1. Département de démographie, Université de Montréal, Canada;2. Public Health Research Institute (IRSPUM), Université de Montréal, Canada;3. Max Planck Institute for Demographic Research, Rostock, Germany;4. Michael G. DeGroote Institute for Infectious Diseases Research, McMaster Immunology Research Centre, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada;1. Department of Family and Emergency Medicine, Laval University, 1050 avenue de la Médecine, Pavillon Ferdinand-Vandry, Quebec City, QC G1V 0A6, Canada;2. School of Psychology, Laval University, Quebec City, QC, Canada;3. Department of Pediatrics and Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada;4. Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada;5. Institut national de santé publique du Québec, Quebec City, QC, Canada;6. Department of Developmental Psychology and Socialization, University of Padova, Italy;7. Department of Family and Community Medicine, Women’s College Hospital – University of Toronto, Toronto, ON, Canada;8. Faculty of Nursing, University of Alberta, Edmonton, AB, Canada;9. Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, ON, Canada;10. Department of Social and Preventive Medicine, Laval University, Quebec City, QC, Canada;1. China Centre for Agricultural Policy (CCAP), School of Advanced Agricultural Sciences (SAAS), Peking University (PKU), Beijing, China;2. LICOS, KU Leuven, Leuven, Belgium;3. Freeman Spogli Institute for International Studies, Stanford University, Stanford, USA;4. Department of Health Policy and Management, Gillings School of Global Public Health and the Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, USA
Abstract:We present the collaborative development of a web-based data collection and monitoring plan for thirty-two county councils within New Mexico's health council system. The monitoring plan, a key component in our multiyear participatory statewide evaluation process, was co-developed with the end users: representatives of the health councils. Guided by the Institute of Medicine's Community, Health Improvement Process framework, we first developed a logic model that delineated processes and intermediate systems-level outcomes in council development, planning, and community action. Through the online system, health councils reported data on intermediate outcomes, including policy changes and funds leveraged. The system captured data that were common across the health council system, yet was also flexible so that councils could report their unique accomplishments at the county level. A main benefit of the online system was that it provided the ability to assess intermediate, outcomes across the health council system. Developing the system was not without challenges, including creating processes to ensure participation across a large rural state; creating shared understanding of intermediate outcomes and indicators; and overcoming technological issues. Even through the challenges, however, the benefits of committing to using participatory processes far outweighed the challenges.
Keywords:Participatory evaluation  Logic model  Community coalitions  Web-based reporting  Intermediate outcomes  Program evaluation
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