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Developing a community-responsive research model in the healthcare system: a mixed-method study.

Hooman Khanpoor1, Mohammad Amerzadeh2, Ahad Alizadeh2

  • 1Student Research Committee, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran.

BMC Medical Research Methodology
|May 25, 2024
PubMed
Summary

Developing a community-responsive research model requires prioritizing community health needs and engaging stakeholders. Key elements include disseminating findings, committing to implementation, and fostering collaborative learning for better health outcomes.

Keywords:
Health systemResearchResponsivenessStructural equation modelling

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Area of Science:

  • Health Services Research
  • Community-Based Participatory Research

Background:

  • Healthcare systems must address non-clinical needs, including responsive research and community education.
  • A community-responsive research model is crucial for aligning health priorities with research funding and capacity building.

Purpose of the Study:

  • To develop a community-responsive research model within the healthcare system.
  • To ensure community-identified health priorities guide research funding and capacity-building initiatives.

Main Methods:

  • A mixed-methods approach combining literature review, expert panel qualitative analysis, and Structural Equation Modeling (SEM).
  • Statistical analysis performed using R software (version 3.2.4) with a significance level of 0.05.

Main Results:

  • Identified 41 responsiveness components from 16 studies (2000-2022) and 10 sub-themes across four major themes: planning, implementation, monitoring, and action.
  • Dissemination of results, community-aligned research prioritization, commitment to implement findings, and collaborative learning significantly impacted the community-responsive research model.

Conclusions:

  • Community health priorities must be identified through engagement and a priority-setting process to develop a responsive research model.
  • Disseminating findings, committing to real-world application, and promoting shared learning enhance collaboration and mutual understanding between communities and academic partners.