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Lessons From the Community-Engaged, Data-Driven Selection of Evidence-Based Practice Strategies in the HEALing

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Journal of Public Health Management and Practice : JPHMP
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PubMed
Summary

The HEALing Communities Study (HCS) used a data-driven approach to help communities reduce opioid overdoses. This method guided the selection of evidence-based strategies for greater impact.

Keywords:
clinical trialcommunity engagementdata-driven decision makingevidence-based practicesopioids

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Area of Science:

  • Public Health
  • Health Services Research
  • Community-Based Interventions

Background:

  • Limited practical guidance exists for community-engaged, data-driven decision-making in public health.
  • The HEALing Communities Study (HCS) aimed to address the opioid overdose epidemic in highly affected communities.
  • Existing public health data and tools often lack effective implementation strategies for community use.

Purpose of the Study:

  • To assess the impact of a community-engaged, data-driven intervention on reducing fatal opioid overdoses.
  • To describe the methodology of the Communities That HEAL (HCS) intervention.
  • To identify best practices and barriers in implementing data-driven decision-making for public health initiatives.

Main Methods:

  • A randomized, wait-list controlled trial involving 67 communities across four US states.
  • Implementation of the Communities That HEAL intervention, a phased approach.
  • Core data-driven steps included data selection, access, visualization, and coalition engagement to identify intervention opportunities.

Main Results:

  • The HCS intervention utilized a phased, coalition-engaged, data-driven approach to select evidence-based strategies.
  • Staff engaged community coalitions to assess resource gaps and intervention opportunities using selected metrics and visualizations.
  • Post-intervention workshops identified key best practices and challenges encountered in data-driven decision-making.

Conclusions:

  • A structured, community-engaged, data-driven approach is feasible for guiding public health interventions.
  • The HCS model provides a framework for utilizing data to inform community-level strategies for overdose reduction.
  • Lessons learned offer guidance for future implementations of data-driven public health initiatives.