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Community-based decision making and priority setting using the R software: the community priority index.

Hamisu M Salihu1, Abraham A Salinas-Miranda2, Arnut Paothong3

  • 1Department of Family and Community Medicine, Baylor College of Medicine, 3701 Kirby Drive, Suite 600, Houston, TX 77098, USA.

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Summary
This summary is machine-generated.

This study presents a method for calculating community priority indices using multicriteria decision-making. An R function was developed and validated to aid community needs assessments and priority setting.

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Area of Science:

  • Community health
  • Public health policy
  • Health services research

Background:

  • Effective priority setting is crucial for community health initiatives.
  • Existing methods for community prioritization may lack comprehensive approaches.
  • Multicriteria decision-making (MCDM) offers a structured framework for complex prioritization.

Purpose of the Study:

  • To outline a computational method for community priority indices (CPI).
  • To introduce a validated R function for calculating CPI using community data.
  • To demonstrate the utility of MCDM in community-based prioritization.

Main Methods:

  • Overview of existing priority-setting methodologies.
  • Review of MCDM applications in community health.
  • Development and validation of an R function for CPI calculation.
  • Detailed illustration of CPI computation with bootstrapped confidence intervals.

Main Results:

  • A practical R function for computing community priority indices was developed.
  • The R function was validated using community needs assessment data.
  • The computational steps for CPI calculation, including confidence intervals, were elucidated.

Conclusions:

  • The developed R function provides a valuable tool for community-based priority setting.
  • The outlined method enhances the objectivity and transparency of community needs assessments.
  • MCDM approaches, facilitated by tools like the R function, can improve resource allocation in community settings.