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Related Experiment Videos

Measuring academic production.

Dewey C Scheid1, Robert M Hamm, Steven A Crawford

  • 1Department of Family and Preventive Medicine, University of Oklahoma, Oklahoma City 73104, USA. dewey-scheid@ouhsc.edu

Family Medicine
|February 13, 2002
PubMed
Summary
This summary is machine-generated.

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A new measurement system was developed for academic medical faculty activities. This system, created using a bottom-up approach, aims to accurately value diverse professional tasks, though further refinement is needed before implementation for budgetary decisions.

Area of Science:

  • Academic Medicine
  • Health Professions Education
  • Medical Faculty Development

Background:

  • Academic medical institutions face pressure to quantify faculty activities.
  • Existing relative value systems have limitations in validity and acceptability.
  • A novel bottom-up approach was employed to address these limitations.

Purpose of the Study:

  • To develop a new measurement system for diverse academic faculty activities.
  • To assess the relative value of professional tasks within an academic family medicine department.
  • To create a more valid and acceptable system for measuring academic productivity.

Main Methods:

  • Faculty submitted comprehensive lists of professional activities.
  • Faculty rated the relative value of these activities using an unbounded ratio scale.

Related Experiment Videos

  • Annual frequency of each activity was recorded to calculate relative value units.

    • Main Results:

    • A list of 96 distinct academic activities was generated.
    • Principal investigator of a funded grant had the highest relative value (30.23).
    • Administration, clinical activities, teaching, and scholarly activities were quantified in relative value units.

    Conclusions:

    • The developed system efficiently measured a wide range of faculty activities with broad participation.
    • Internal coherence and validity issues suggest caution in using these measures for individual productivity or budgetary decisions.
    • Further refinement is necessary before widespread adoption for performance evaluation or resource allocation.