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Toward a peer review process for medical decision analysis models

F A Sonnenberg1, M S Roberts, J Tsevat

  • 1University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, New Brunswick 08903.

Medical Care
|July 1, 1994
PubMed
Summary

This paper introduces a peer review framework for medical decision analysis models, developed by experts from Patient Outcomes Research Teams (PORTs). It outlines principles and rules to ensure accurate model structure and identify common errors for health policy applications.

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Area of Science:

  • Health Services Research
  • Medical Decision Analysis
  • Health Policy

Background:

  • Medical decision analysis models are crucial for health policy but require rigorous evaluation.
  • A standardized peer review process is needed to ensure the quality and reliability of these models.
  • Expert consensus from the Inter-PORT Decision Modeling work group informed the framework's development.

Purpose of the Study:

  • To present a comprehensive framework for the peer review of medical decision analysis models.
  • To establish general principles and specific rules for correct decision model structure.
  • To provide a systematic approach for evaluating the adequacy of decision models for publication and policy.

Main Methods:

  • Leveraging the collective expertise of decision analysis specialists from Patient Outcomes Research Teams (PORTs).

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  • Identifying key principles for model structure, including model type, analytical perspective, and utility scheme.
  • Developing a set of rules to detect common errors in decision model construction.

    • Main Results:

    • A structured framework for peer review of medical decision analysis models has been established.
    • Key principles for correct model structure have been defined, covering essential components.
    • A set of rules is proposed to aid reviewers in identifying structural errors in decision models.

    Conclusions:

    • The proposed framework offers a systematic method for assessing the quality of medical decision analysis models.
    • Adherence to the outlined principles and rules can enhance the reliability and validity of decision models.
    • This framework supports informed decision-making in health policy by ensuring robust model evaluation.