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A decision-making model to optimize the impact of community-based health programs
Eduardo Pérez1, Yan Li2, José A Pagán3
1Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States of America.
Preventive Medicine
|May 16, 2021
Summary
This study introduces a decision-making model to help select optimal community-based health programs. It aids resource allocation by considering funding, duration, and retention for better health outcomes.
Area of Science:
- Health Services Research
- Public Health Policy
- Health Economics
Background:
- Healthcare systems increasingly partner with community organizations to address social determinants of health.
- Selecting effective community-based health programs is challenging due to varying effectiveness and costs.
Purpose of the Study:
- To develop a decision-making model for evaluating and selecting community-based health programs.
- To optimize resource allocation for community health initiatives.
Main Methods:
- Developed a model comparing community-based health programs based on key factors.
- Incorporated constraints such as funding limitations, program duration, and participant retention.
- Enabled selection of optimal program mix based on population profiles and constraints.
Main Results:
- The model provides a framework for systematic evaluation of community health programs.
- Facilitates informed resource allocation decisions for maximizing health impact.
- Supports the selection of the most suitable programs for specific community needs.
Conclusions:
- The decision-making model can improve resource allocation for community-based health programs.
- Enhances cross-sector partnerships and service integration to improve population health outcomes.
- Offers a valuable tool for public health decision-makers and healthcare organizations.
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