Assessing Physicians’ Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison (Preprint)

Author:

Wang Hsiao-HanORCID,Lin Yu-HsuanORCID

Abstract

BACKGROUND

Previous studies have shown inconsistencies in the accuracy of self-reported work hours. However, accurate documentation of work hours is fundamental for the formation of labor policies. Strict work-hour policies decrease medical errors, improve patient safety, and promote physicians’ well-being.

OBJECTIVE

The aim of this study was to estimate physicians’ recall bias of work hours with a mobile app, and to examine the association between the recall bias and physicians’ work hours.

METHODS

We quantified recall bias by calculating the differences between the app-recorded and self-reported work hours of the previous week and the penultimate week. We recruited 18 physicians to install the “Staff Hours” app, which automatically recorded GPS-defined work hours for 2 months, contributing 1068 person-days. We examined the association between work hours and two recall bias indicators: (1) the difference between self-reported and app-recorded work hours and (2) the percentage of days for which work hours were not precisely recalled during interviews.

RESULTS

App-recorded work hours highly correlated with self-reported counterparts (<i>r</i>=0.86-0.88, <i>P</i>&lt;.001). Self-reported work hours were consistently significantly lower than app-recorded hours by –8.97 (SD 8.60) hours and –6.48 (SD 8.29) hours for the previous week and the penultimate week, respectively (both <i>P</i>&lt;.001). The difference for the previous week was significantly correlated with work hours in the previous week (<i>r</i>=–0.410, <i>P</i>=.01), whereas the correlation of the difference with the hours in the penultimate week was not significant (<i>r</i>=–0.119, <i>P</i>=.48). The percentage of hours not recalled (38.6%) was significantly higher for the penultimate week (38.6%) than for the first week (16.0%), and the former was significantly correlated with work hours of the penultimate week (<i>r</i>=0.489, <i>P</i>=.002)

CONCLUSIONS

Our study identified the existence of recall bias of work hours, the extent to which the recall was biased, and the influence of work hours on recall bias.

Publisher

JMIR Publications Inc.

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