The structured interview as a tool for predicting premature withdrawal from medical school

Area of Science:

• Medical Education Research
• Student Selection and Retention
• Psychometric Assessment

Background:

• Medical school admissions increasingly rely on interviews.
• Predicting student attrition is crucial for resource allocation and student support.
• Traditional numerical scoring may not capture nuanced indicators of potential withdrawal.

Purpose of the Study:

• To compare the predictive validity of qualitative interview comments versus numerical scores for medical student withdrawal.
• To identify specific interview feedback themes associated with course discontinuation.
• To enhance early identification of students at risk of withdrawing from medical programs.

Main Methods:

• A 1:1 matched case-control study design.
• Matched 59 withdrawing medical students with 59 continuing students on key demographics and academic history.
• Analyzed interview comments and numerical scores using statistical methods, including logistic regression.

Main Results:

• No significant difference in numerical scores between withdrawing and continuing students.
• Withdrawing students received significantly more negative comments regarding supportive behavior (p=0.04) and motivation (p=0.05).
• Negative comments on supportive behavior emerged as the sole significant predictor of withdrawal (OR 1.65).

Conclusions:

• Qualitative interview feedback, particularly negative comments on supportive behavior, is a stronger predictor of medical student withdrawal than numerical scores.
• Interviewers' qualitative assessments offer valuable insights for identifying at-risk students.
• Refining interview analysis could improve medical student retention strategies.