Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development

Chiang, Ting-Wei; Chen, Si Yu; Pan, Yuan-Chien

doi:10.2196/16063

Cited by 9 publications

(12 citation statements)

References 13 publications

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“…In Singapore, it was implemented on interns of internal medicine department [6]. The study showed that even though physicians have longer total work hours than non-health care providers they even exceed those o cial schedule hours [12]. We conducted our study in Riyadh, Saudi Arabia among pediatrics residents to evaluate the impact of the NF system and the traditional 24-hour on-call system on several aspects.…”

Section: Discussion and Literature Reviewmentioning

confidence: 99%

Pediatric Resident’s Perception of Night Float System Compared to 24 Hours System, a Prospective Study

Alsohime

Alkhalaf

Almuzini

et al. 2020

Preprint

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Background: This study aims to evaluate the pediatric residents’ perceptions of the Night Float (NF) on-call system and its impact on their well-being, education and patient safety and compare it with the previous traditional 24-hour on-call system. Methods: This is a prospective study conducted in two pediatric residents training centers who applied the NF on call system as a pilot project. The senior residents enrolled in the two training centers were invited to participate in this study before changing the on-call system and 6 months after starting the new NF on-call system. A self-administered online questionnaire was distributed to them. A five-point Likert-type scale was used to rank the residents’ responses, covering three main domains; residents’ well-being, ability to deliver health care, and their medical education experience. Pre- and post-intervention scores were presented as means and compared using the t-test for paired samples. Results: A total of 42 residents participated in the survey. Of these, 24 (57.1%) were females. All participants were senior residents; 25 (59.6%) were third year residents while 17 (40.4%) were fourth year residents. Participants felt that most aspects of the three domains were improved by the introduction of the NF system. The NF system had less adverse health effect on the residents (Mean 2.37±1.01), compared to the 24 hours on-call system (Mean 4.19±0.60), P ˂0.001. The NF system had less exposure to personal harm, less negative impact on the quality of care, better work efficiency, reduced potential for medical error, more successful teaching and fewer disruptions to other rotations compared to the 24 hours on-call system, (P ˂0.001). Conclusion: In this study, we found that the NF on-call system positively impacts residents’ well-being, education and patient care. This pilot study demonstrates that the restricted duty hours are useful from pedagogic aspect and sets the ground for Pediatric residency training programs in Saudi Arabia to consider resident duty hour reform. Trial registration: Not applicable

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Section: Discussion and Literature Reviewmentioning

confidence: 99%

Pediatric Resident’s Perception of Night Float System Compared to 24 Hours System, a Prospective Study

Alsohime

Alkhalaf

Almuzini

et al. 2020

Preprint

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“…However, most of them require users to manually clock in and out due to the apps’ lack of an automatic geofencing feature. Chiang et al overcame this fundamental limitation by designing “Staff Hours”, an app that automatically chronicles users’ work patterns via a highly accurate, yet power-saving, GPS-defined algorithm [ 30 ]. Being the first of its kind, “Staff Hours” was specifically designed to monitor overwork patterns and occupational burnouts among medical staffs.…”

Section: The Application Of Mobile Technologies In Mental Health Rese...mentioning

confidence: 99%

“…Using aggregated datasets collected by “Staff Hours”, researchers can compare work hours between different types of healthcare personnel, as well as among workers of vastly disparate occupations. Figure 5 shows that medical staff had longer work hours than nonhealthcare professionals, and resident physicians worked longer hours than visiting staff in hospitals [ 30 ]. With the inclusion of regulations pertaining to resident physicians’ work hour limits in Taiwan’s Labor Standards Act in September 2019, this app took on another purpose in labor negotiations, serving as a real-time monitor for work hour limit compliance and evidence for employees when they claim overtime pay.…”

Section: The Application Of Mobile Technologies In Mental Health Rese...mentioning

confidence: 99%

Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis

Chen

Liao

2022

JPM

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The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions accurately and continuously has been a major difficulty within this field. This article reviews the latest efforts that utilize mobile apps to collect human–smartphone interaction data and contribute towards digital biomarkers of mental illnesses. The fundamental principles underlying a behavioral analysis with mobile apps were introduced, such as ways to monitor smartphone use under different circumstances and construct long-term patterns and trend changes. Examples were also provided to illustrate the potential applications of mobile apps that gain further insights into traditional research topics in occupational health and sleep medicine. We suggest that, with an optimized study design and analytical approach that accounts for technical challenges and ethical considerations, mobile apps will enhance the systemic understanding of mental illnesses.

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“…Staff Hours is a newly designed app that captures the work hours and patterns of medical staff in real time [11]. Participants installed the Staff Hours app onto their smartphones from Apple's App Store or Android's Google Play store.…”

Section: Gps-defined Work Hours Recorded By the Appmentioning

confidence: 99%

“…Currently, the widespread use and deep reach of smartphones in modern life enable the measurement of work hours in an affordable, reliable, and unobtrusive way. We developed an app, "Staff Hours," to automatically calculate a user's work hours via GPS background data [11]. Staff Hours is a region-restricted app, which could only be downloaded in Taiwan.…”

Section: Introductionmentioning

confidence: 99%

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

Wang¹

2021

J Med Internet Res

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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 (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) 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.

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Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development

Cited by 9 publications

References 13 publications

Pediatric Resident’s Perception of Night Float System Compared to 24 Hours System, a Prospective Study

Pediatric Resident’s Perception of Night Float System Compared to 24 Hours System, a Prospective Study

Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis

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

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