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Screening test length for sequential testing with a standardized-patient examination: a receiver operating
J A Colliver1, N V Vu, H S Barrows
1Division of Statistics and Research Consulting, Southern Illinois University School of Medicine, Springfield 62794-9230.
Summary
Sequential testing with a brief screening test can efficiently assess medical students. Optimizing the screening test length and pass/fail cutoff improves accuracy and reduces examination costs.
Area of Science:
- Medical Education
- Psychometrics
- Health Professions Education
Background:
- Sequential testing, incorporating a screening test, has proven feasible for reducing the length and cost of performance-based examinations using standardized-patient cases.
- Previous studies demonstrated feasibility, but this research focuses on quantitative criteria for optimizing screening test parameters.
Purpose of the Study:
- To determine optimal quantitative criteria for the length of a screening test and the placement of its pass-fail cutoff within a sequential testing framework.
- To evaluate the psychometric properties of a screening test using receiver operating characteristic (ROC) analysis.
Main Methods:
- Data were collected from five senior medical student classes at Southern Illinois University School of Medicine (1987-1991).
- Receiver operating characteristic (ROC) curves were generated for screening tests of varying lengths.
- Different pass-fail cutoff points on the screening test were analyzed for each ROC curve.
Main Results:
- A screening test approximately one-third the length of the full examination achieved good accuracy.
- Setting the screening pass-fail cutoff slightly above the mean of case pass levels maximized sensitivity and specificity.
- ROC analysis proved valuable in assessing screening test psychometric properties.
Conclusions:
- This study validates the use of ROC analysis for evaluating screening test psychometric properties in sequential testing.
- Optimized sequential testing strategies can enhance the efficiency and accuracy of medical performance examinations.
- Quantitative criteria provide a robust method for determining optimal screening test design.