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Advancing Value-Based Academic-Clinical Partnership Evaluation in Physical Therapy Education: Multiattribute Utility

Sara North1

  • 1Sara North is the director of educational innovation and evaluation in the Division of Physical Therapy, Department of Family Medicine & Community Health, Medical School at the University of Minnesota, 420 Delaware St. SE, Minneapolis MN 55455 ( snorth@umn.edu ). Please address all correspondence to Sara North.

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This study explored using multiattribute utility analysis (MAUA) to evaluate academic-clinical partnerships. MAUA provides a flexible, quantitative framework for assessing partnership effectiveness in physical therapy education.

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Area of Science:

  • Health Professions Education
  • Quantitative Research Methods

Background:

  • Academic-clinical partnerships are crucial for health professions education but face systemic challenges.
  • Evaluating partnership effectiveness requires systematic and flexible methods.
  • Existing evaluation processes often lack quantitative rigor and adaptability.

Purpose of the Study:

  • To explore the application of Multiattribute Utility Analysis (MAUA) for evaluating academic-clinical partnership effectiveness.
  • To investigate the potential of MAUA as a sustainable and flexible evaluation process.
  • To address the need for scholarly methods in assessing academic-clinical partnerships.

Main Methods:

  • Employed the Multiattribute Utility Analysis (MAUA) methodological framework.
  • Surveyed Directors and Co-Directors of Clinical Education in US Doctor of Physical Therapy programs.
  • Identified and quantified weighted priorities influencing partnership effectiveness.

Main Results:

  • MAUA offers a viable methodology for value-based academic-clinical partnership evaluation.
  • Survey results revealed trends in attribute prioritization and their intersectionality.
  • A flexible framework was developed for academic-clinical education faculty decision-making.

Conclusions:

  • MAUA enables narrowing partnership criteria to a manageable, quantitative subset for decision-making.
  • An evidence-based framework like MAUA facilitates objective partnership assessment and management.
  • This approach supports informed decisions on maintaining, enhancing, or discontinuing partnerships based on shared understanding.