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Analyzing Dental Students' Clinic Production Using Time-Based Relative Value Units: Ten-Year Cross-Cohort Mapping.

R Todd Watkins1, Linc J Conn2, Robert G Gellin2

  • 1Dr. Watkins is Assistant Dean for Dental Education and Informatics, East Carolina University School of Dental Medicine; Dr. Conn is Associate Professor and Chair, Department of General Dentistry, East Carolina University School of Dental Medicine; Dr. Gellin is Professor and Chair, Department of Stomatology, Medical University of South Carolina College of Dental Medicine; Dr. Gonzales is Associate Dean for Curriculum and Strategic Communications and Professor, Department of Stomatology, Medical University of South Carolina College of Dental Medicine; Dr. Hamil is Associate Professor, Department of Stomatology, Medical University of South Carolina College of Dental Medicine; Dr. Cayouette is Associate Professor and Chair, Department of Oral Rehabilitation, Medical University of South Carolina College of Dental Medicine; and Dr. Schmidt is Professor and Vice Chair, Department of Microbiology and Immunology and Professor, Department of Stomatology, Medical University of South Carolina College of Dental Medicine. watkinsr@ecu.edu.

Journal of Dental Education
|March 3, 2018
PubMed

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Summary
This summary is machine-generated.

This study evaluated an informatics system using relative educational value units (ReVUs) to track dental student clinical performance. The system demonstrated consistent student progress, aiding in the assessment of readiness for independent dental practice.

Area of Science:

  • Dental Education
  • Health Informatics
  • Competency Assessment

Background:

  • Traditional methods for assessing dental student clinical competence have inherent biases.
  • Evaluating clinical production alone may not fully reflect mastery of dental concepts and techniques.

Purpose of the Study:

  • To assess an informatics system that assigns meta-tags with time-based relative educational value units (ReVUs) to clinical procedures.
  • To evaluate the system's effectiveness in monitoring dental student progress towards independent practice.

Main Methods:

  • Analysis of 421,494 clinical procedures from Medical University of South Carolina (MUSC) graduating classes (2007-2016).
  • Mapping procedures using microcompetency codes and analyzing data with specialized software.
  • Utilizing time-based relative educational value units (ReVUs) for quantitative evaluation.
Keywords:
assessmentclinical educationdental educationeducational measurement

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Main Results:

  • Ten dental cohorts showed consistent ReVU distributions, with high averages around 7,317 points.
  • Patient assessment (32.6%) and prosthodontics (21.9%) comprised the largest portions of clinical activities.
  • The system allows for easy generation of point thresholds to monitor student competency progression.

Conclusions:

  • The informatics system provides a consistent and quantifiable method for assessing dental student clinical performance.
  • This system aids in evaluating students' readiness for unsupervised, independent dental practice.
  • The distribution of clinical activities across specialties offers insights into curriculum focus.