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A method for developing outcome measures in the clinical laboratory.

J Jones1

  • 1Children's Medical Center of Dallas, TX, USA.

Clinical Laboratory Management Review : Official Publication of the Clinical Laboratory Management Association
|February 7, 1996
PubMed
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This study presents a seven-step method for developing laboratory outcome measures to assess healthcare service value. It details process identification, team formation, and data collection for quality improvement.

Area of Science:

  • Clinical Laboratory Science
  • Healthcare Quality Improvement
  • Health Services Research

Background:

  • Healthcare quality assessment and contract negotiation increasingly rely on outcome measurement.
  • Laboratories need robust methods to demonstrate the value of their services.
  • Developing meaningful outcome measures is crucial for laboratory performance evaluation.

Purpose of the Study:

  • To describe a systematic seven-step method for developing laboratory outcome measures.
  • To provide a framework for assessing the value of laboratory services.
  • To guide laboratories in quality assessment and performance improvement.

Main Methods:

  • A seven-step process for developing outcome measures was outlined.
  • Key steps include identifying processes, forming multidisciplinary teams, defining service purpose, creating cause-and-effect diagrams, identifying critical variables, distinguishing outcome from process measures, and defining data collection.

Related Experiment Videos

  • Therapeutic Drug Monitoring (TDM) was used as a case example.
  • Main Results:

    • The described method provides a structured approach to outcome measure development.
    • The TDM example illustrates the application of the seven steps, including process mapping and variable identification.
    • The study emphasizes the importance of distinguishing true outcome measures from process measures.

    Conclusions:

    • The seven-step method offers a practical framework for laboratories to develop valid outcome measures.
    • Effective outcome measurement supports quality assessment, accreditation, and value demonstration.
    • Careful planning and data collection are essential for accurate laboratory outcome assessment.