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Browsing by Author "Vandergraff, Donna"
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Item CTSA 2 Community: www.ctsa2community.org(2011-08-31) Ackermann, Ronald; Hardwick, Emily; Comer, Karen; Hudson, Brenda; Odell, Jere D.; Arenson, Andrew; Barnett, Bill; McGuire, Patrick; Derr, Michelle; Reid, Tisha; Vandergraff, Donna; Marrero, David G.This poster describes the development an accessible, user-driven, and sustainable web resource for community and academic experts working together to identify, adopt, and implement a wide array of community engaged research infrastructures for enhancing community engagement in all forms of clinical and translational research. CTSA2Community aims to be a storage place for valuable resources referring to the set-up and running of a community engagement program. Resources are provided by experts in the field of community engagement.Item A mixed-methods evaluation to improve sustainability of community health coalition partnerships, activities, and impact on county-level health(Cambridge University Press, 2018-06) Mansfield, Jennifer; Vandergraff, Donna; Lynch, Krystal; Miller, Douglas; Savaiano, Dennis; Medicine, School of MedicineOBJECTIVES/SPECIFIC AIMS: Community health coalitions (CHC) aim to improve local cultures of health, health behaviors, and health outcomes. However, challenges sustaining partnerships and activities limit CHC impact. Traditional CHC evaluations survey members about perceived effectiveness, failing to capture underlying network structures and community health outcomes. Thus, we applied a mixed-methods evaluation in eight rural Indiana CHC, triangulating social network analysis [(SNA), conducted in 2017], functioning effectiveness [Coalition Self-Assessment Survey (CSAS), also 2017], and latest county health statistics (2015–2016) to assess existing CHC building efforts, inform best practices, and facilitate the adoption of evidence-based programming. METHODS/STUDY POPULATION: Across the eight rural Indiana CHC, relationships between the three evaluation components were analyzed using Pearson’s correlations. We are now collaborating with Purdue’s Nutrition Education Program Community Wellness Coordinators to scale up evaluation efforts throughout Indiana. RESULTS/ANTICIPATED RESULTS: CHC effectiveness was positively correlated with the average number of connections CHC members held in the network (mean indegree) and negatively correlated with the presence of a network broker (eigenvector centrality). However, effective leadership was positively correlated with opioid deaths and treatment, food insecurity, smoking during pregnancy, lack of healthcare coverage, and fair/ poor health status, and negatively correlated with prenatal care. Effective operating norms was positively correlated with smoking during pregnancy and preterm births, and negatively correlated with prenatal care. Effective action outcomes was positively correlated with opioid deaths and treatments, smoking during pregnancy, preterm births, and fair/ poor health status, and negatively correlated with respondents reporting they had no personal doctor. DISCUSSION/SIGNIFICANCE OF IMPACT: Interestingly, CHC effectiveness was positively correlated with poor county health outcomes related to infant well-being. Thus, CHC may develop in counties with a high unmet need for effective pregnancy and infant services. Alternatively, the prevalent CHC focus on obesity prevention may eclipse programmatic efforts to improve infant well-being. Longitudinal evaluations and scaling up evaluation efforts across Indiana are being pursued to clarify trajectories and inform best practices, which in turn should provide recommendations for network structures to improve CHC effectiveness and county health.Item 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(Elsevier, 2019-12) Ken-Opurum, Jennifer; Lynch, Krystal; Vandergraff, Donna; Miller, Douglas K.; Savaiano, Dennis A.; Surgery, School of MedicineCommunity health coalitions (CHCs) are a promising approach for addressing disparities in rural health statistics. However, their effectiveness has been variable, and evaluation methods have been insufficient and inconsistent. Thus, we propose a mixed-methods evaluation framework and discuss pilot study findings. CHCs in our pilot study partnered with Purdue Extension. Extension links communities and land grant universities, providing programming and support for community-engaged research. We conducted social network analysis and effectiveness perception surveys in CHCs in 8 rural Indiana counties during summer 2017 and accessed county-level health statistics from 2015-16. We compared calculated variables (i.e., effectiveness survey k-means clusters, network measures, health status/outcomes) using Pearson’s correlations. CHC members’ positive perceptions of their leadership and functioning correlated with interconnectedness in their partnership networks, while more centralized partnership networks correlated with CHC members reporting problems in their coalitions. CHCs with highly rated leadership and functioning developed in counties with poor infant/maternal health and opioid outcomes. Likewise, CHCs reporting fewer problems for participation developed in counties with poor infant/maternal health, poor opioid outcomes, and more people without healthcare coverage. This pilot study provides a framework for iterative CHC evaluation. As the evidence grows, we will make recommendations for best practices that optimize CHC partnerships to improve local health in rural areas.