This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1022) mHealth for Health Administration (185) Research Instruments, Questionnaires, and Tools (777) Organizational Issues (234) Occupational Health and Ergonomics/Prevention at the Workplace (323) mHealth for Data Collection and Research (1243) Mobile Health (mhealth) (3604) New Resources for Medical Education (128) Validity, Reliability, and Bias (115) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26763, first published .
Assessing Physicians’ Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison

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

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

Authors of this article:

Hsiao-Han Wang1, 2 Author Orcid Image ;   Yu-Hsuan Lin1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

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  1. Steffey M, Risselada M, Scharf V, Buote N, Zamprogno H, Winter A, Griffon D. A narrative review of the impact of work hours and insufficient rest on job performance. Veterinary Surgery 2023;52(4):491 View
  2. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  3. Li M, Sorayyaei Azar A. Dialectical materialism and teaching by words and deeds applied to the education of clinical medical students. Frontiers in Medicine 2023;10 View
  4. Chen H, Lu H, Weng W, Lin Y. 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 2023;25:e48834 View
  5. Koike S, Wada H, Ohde S, Ide H, Taneda K, Tanigawa T. Working hours of full-time hospital physicians in Japan: a cross-sectional nationwide survey. BMC Public Health 2024;24(1) View
  6. Hu Y, Huang M, Cerna J, Kaur R, Hernandez M. Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning. Sensors 2024;24(15):4955 View
  7. Zhang W, Huang W, Lin X, Xie Q, Guo X. Digital alert fatigue and escalation behaviours in nurse-led remote postoperative care: a cross-sectional study. BMC Nursing 2026 View
  8. Eddy A, Bray N, Place A. Identifying risk factors for burnout and self-harm thoughts among medical students: a multi-institutional survey study. Journal of Osteopathic Medicine 2026 View