Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States of America.
Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, United States of America.
Prev Med. 2021 Aug;149:106619. doi: 10.1016/j.ypmed.2021.106619. Epub 2021 May 14.
Hospitals and clinics are increasingly interested in building partnerships with community-based organizations to address the social determinants of health. Choosing among community-based health programs can be complex given that programs may have different effectiveness levels and implementation costs. This study develops a decision-making model that can be used to evaluate multiple key factors that would be relevant in resource allocation decisions related to a set of community-based health programs. The decision-making model compares community-based health programs by considering funding limitations, program duration, and participant retention until program completion. Specifically, the model allows decision makers to select the optimal mix of community-based health programs based on the profiles of the population given the above constraints. The model can be used to improve resource allocation in communities, ultimately contributing to the long-term goal of strengthening cross-sector partnerships and the integration of services to improve health outcomes.
医院和诊所越来越有兴趣与社区组织建立伙伴关系，以解决健康的社会决定因素。鉴于项目的有效性水平和实施成本可能不同，在选择基于社区的健康项目时可能会很复杂。本研究开发了一种决策模型，可用于评估与一组基于社区的健康计划相关的资源分配决策中相关的多个关键因素。该决策模型通过考虑资金限制、计划持续时间和参与者保留率直至计划完成，来比较基于社区的健康计划。具体来说，该模型允许决策者根据上述约束条件，根据人群的特征选择基于社区的健康计划的最佳组合。该模型可用于改善社区的资源分配，最终有助于加强跨部门伙伴关系和整合服务以改善健康结果的长期目标。
