• Preventive medicine · Aug 2021

    A decision-making model to optimize the impact of community-based health programs.

    • Eduardo Pérez, Yan Li, and José A Pagán.
    • Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States of America. Electronic address: eduardopr@txstate.edu.
    • Prev Med. 2021 Aug 1; 149: 106619.

    AbstractHospitals 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.Copyright © 2021 Elsevier Inc. All rights reserved.

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