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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Prioritization strategies in clinical practice guidelines development: a pilot study.

Ludovic Reveiz1, Diana R Tellez, Juan S Castillo

  • 1Clinical Research Institute and Health Technology Assessment Unit, National University, Bogota, Colombia. mmreveiz@hotmail.com

Health Research Policy and Systems
|March 9, 2010
PubMed
Summary
This summary is machine-generated.

This study validates a systematic methodology for prioritizing clinical topics for Clinical Practice Guidelines (CPGs). The Priority Determination of Topics (PDT) method uses multi-criteria analysis, prioritizing feasibility and disease burden over user preferences.

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Area of Science:

  • Health Services Research
  • Clinical Methodology
  • Evidence-Based Medicine

Background:

  • Prioritizing topics for Clinical Practice Guidelines (CPGs) lacks standardized methodologies.
  • Effective topic selection is crucial for developing relevant and impactful CPGs.

Purpose of the Study:

  • To validate a systematic methodology for the Priority Determination of Topics (PDT) for CPG development.
  • To assess the feasibility and effectiveness of a multi-criteria approach for CPG topic selection.

Main Methods:

  • Developed a 41-criterion instrument for PDT, organized into 10 domains.
  • Conducted a stakeholder and end-user survey using the PDT instrument.
  • Performed pilot testing of the PDT procedure with 34 proposed guideline topics using multi-criteria analysis.

Main Results:

  • The PDT methodology involved five stages: group composition, domain scoring, weighting, evidence quality assessment, and topic selection.
  • Feasibility, disease burden, implementation, and information needs were key prioritization domains.
  • Clinicians relied more on professional experience than high-quality evidence (15% of cases) for prioritization.

Conclusions:

  • The proposed PDT methodology offers a systematic approach to CPG topic selection, reducing personal bias.
  • The methodology's complexity reflects the inherent challenges in prioritizing clinical topics.
  • While systematic, the process highlighted a reliance on clinical experience over robust evidence in topic selection.