ArticleJournal of medical Internet research2021
Assessing Physicians' Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Digital alert fatigue and escalation behaviours in nurse-led remote postoperative care: a cross-sectional study.BMC nursing · 2026Article
- Identifying risk factors for burnout and self-harm thoughts among medical students: a multi-institutional survey study.Journal of osteopathic medicine · 2026Article
- The Impact of Length of Training on Clinical Preparedness Among New Graduates: A Report From the Length of Training Pilot Study in Family Medicine.Family medicine · 2025Article
- Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- Working hours of full-time hospital physicians in Japan: a cross-sectional nationwide survey.BMC public health · 2024Article
- Measuring Clinical Preparedness After Residency Training: Development of a New Instrument.Family medicine · 2024Review
- Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study.Journal of medical Internet research · 2023Article
- Dialectical materialism and teaching by words and deeds applied to the education of clinical medical students.Frontiers in medicine · 2023Article
- Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis.Journal of personalized medicine · 2022Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious 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.
objectiveThe 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.
methodsWe 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.
resultsApp-recorded work hours highly correlated with self-reported counterparts (r=0.86-0.88, P<.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 P<.001). The difference for the previous week was significantly correlated with work hours in the previous week (r=-0.410, P=.01), whereas the correlation of the difference with the hours in the penultimate week was not significant (r=-0.119, P=.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 (r=0.489, P=.002).
conclusionsOur 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.
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