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Validity review of performance measures

A G Lawthers1

  • 1Center for Quality of Care Research and Education, Harvard School of Public Health, Boston, MA 02115, USA.

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care
|June 1, 1996
PubMed
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A structured review process by objective clinicians enhances the reliability of clinical performance measures. This method reduces errors in large-scale healthcare quality improvement programs.

Area of Science:

  • Healthcare Quality Improvement
  • Clinical Performance Measurement
  • Health Services Research

Background:

  • Reliable performance measures are crucial for large-scale clinical care improvement programs.
  • Evaluating the validity of these measures is essential to ensure accurate data.
  • Existing methods may contain sources of error, necessitating a robust validation process.

Purpose of the Study:

  • To describe the procedures and materials used to validate performance measures.
  • To ensure the reliability and accuracy of performance measures for healthcare quality improvement.
  • To reduce measurement error in large-scale clinical care programs.

Main Methods:

  • A structured evaluation process involving a panel of objective clinicians.

Related Experiment Videos

  • Examination of performance measure criteria, coding instructions, and coding forms.
  • Review of patient records flagged for nonconformance to determine true nonconformity.
  • Data abstraction directly from patient ambulatory records into a computer system.

    • Main Results:

    • The panel's review identified areas for modification in the performance measures.
    • Recommendations from the panel helped reduce measurement error.
    • The validation process aimed to eliminate sources of false positive findings.

    Conclusions:

    • A structured, clinician-led validation process is essential for reliable performance measures.
    • This approach improves the accuracy of data used in healthcare quality improvement initiatives.
    • The described methods, used in the DEMPAQ project, offer a model for validating clinical performance measures.