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Related Experiment Video

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Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

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Published on: September 19, 2019

Reading between the lines: faculty interpretations of narrative evaluation comments.

Shiphra Ginsburg¹, Glenn Regehr, Lorelei Lingard

¹Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Medical Education

|February 20, 2015

Summary

This summary is machine-generated.

Faculty attendings interpret narrative comments on residents' in-training evaluation reports (ITERs) by "reading between the lines" and looking for specific language cues. This implicit code influences resident assessment but can lead to variable interpretations.

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Area of Science:

Medical Education
Linguistic Pragmatics
Qualitative Research

Background:

Narrative comments in resident in-training evaluation reports (ITERs) are common but challenging to interpret due to varied writing styles.
Understanding how faculty interpret these comments is crucial for accurate assessment.

Purpose of the Study:

To explore how faculty attendings interpret narrative comments on residents' ITERs.
To identify language cues influencing interpretation and justification of judgments.

Main Methods:

24 internal medicine faculty attendings categorized residents based on ITER comments.
Interviews were conducted to understand interpretation processes.
Constructivist grounded theory and constant comparative techniques analyzed interview data.

Main Results:

Faculty "read between the lines" and scanned for "flags" when interpreting ITER comments.
Comment consistency, competency domain, specificity, quantity, and context influenced judgments.
Perceived purposes of comments included feedback, summative assessment, and complex social objectives.

Conclusions:

Faculty infer meaning based on perceived evaluator intent, utilizing a shared "hidden code" in ITER comments.
This "reading between the lines" ability aids resident categorization but can cause interpretation variability.
Current assumptions about ITER comment effectiveness may be incomplete; linguistic theories may explain the implicit code's evolution.