ArticleJMIR medical informatics2021
Physician Stress During Electronic Health Record Inbox Work: In Situ Measurement With Wearable Sensors.
Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05106647 (Reducing Work-related Screen Time in Health Care Workers During Leisure Time), which is not on this map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Reducing Work-related Screen Time in Health Care Workers During Leisure Time
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Family physician perspectives on managing indirect patient care activities in the electronic inbox: a systematic mixed studies review.Family practice · 2025Pooled it
- From Monitoring to Assisting: A Systematic Review towards Healthier Workplaces.International journal of environmental research and public health · 2022Pooled it
- Pharmacist care for attention-deficit/hyperactivity disorder electronic medication refills: A cluster randomized trial.Journal of managed care & specialty pharmacy · 2025Trial
- Pharmacist vs physician management of e-visit requests for COVID-19 medication: A randomized clinical trial.Journal of managed care & specialty pharmacy · 2025Trial
- Trial
- AI-Generated Draft Replies Integrated Into Health Records and Physicians' Electronic Communication.JAMA network open · 2024Trial
- Why Have All the Doctors Gone? Insights Into Early Clinical Departure Among Physicians in the United States: A National Survey.The Permanente journal · 2026Article
- A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology.Cardiovascular and interventional radiology · 2026Review
- Real-Time Stress Experiences and Physiological and Psychological Responses Among LGBTQ+ Young Adults: Findings from the Stress and Heart Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Revealing the Physician's Task Conceptualization in Melanoma Treatment: Qualitative User Experience Study.JMIR cancer · 2026Article
- Article
- Assessing Minority Stress and Physiological Response Through Ecological Momentary Assessment and Sensors: Protocol for a Feasibility and Acceptability of the Stress and Heart Pilot Study.JMIR formative research · 2025Article
- An AI-Powered Strategy for Managing Patient Messaging Load and Reducing Burnout.Applied clinical informatics · 2025Article
- Evaluating Hospital Course Summarization by an Electronic Health Record-Based Large Language Model.JAMA network open · 2025Article
- A systematic review of early evidence on generative AI for drafting responses to patient messages.npj health systems · 2025Article
- AI-Driven Wearable Bioelectronics in Digital Healthcare.Biosensors · 2025Review
- Primary care staff members' experiences with managing electronic health record inbox messages.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- The National Emergency Department Overcrowding Scale and Perceived Staff Workload: Evidence for Construct Validity in a Pediatric Setting.Pediatric emergency care · 2025Article
- Learning health system research as a catalyst for promoting physician wellness: EHR InBasket Spring cleaning and team-based compassion practice.Learning health systems · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIncreased work through electronic health record (EHR) messaging is frequently cited as a factor of physician burnout. However, studies to date have relied on anecdotal or self-reported measures, which limit the ability to match EHR use patterns with continuous stress patterns throughout the day.
objectiveThe aim of this study is to collect EHR use and physiologic stress data through unobtrusive means that provide objective and continuous measures, cluster distinct patterns of EHR inbox work, identify physicians' daily physiologic stress patterns, and evaluate the association between EHR inbox work patterns and physician physiologic stress.
methodsPhysicians were recruited from 5 medical centers. Participants (N=47) were given wrist-worn devices (Garmin Vivosmart 3) with heart rate sensors to wear for 7 days. The devices measured physiological stress throughout the day based on heart rate variability (HRV). Perceived stress was also measured with self-reports through experience sampling and a one-time survey. From the EHR system logs, the time attributed to different activities was quantified. By using a clustering algorithm, distinct inbox work patterns were identified and their associated stress measures were compared. The effects of EHR use on physician stress were examined using a generalized linear mixed effects model.
resultsPhysicians spent an average of 1.08 hours doing EHR inbox work out of an average total EHR time of 3.5 hours. Patient messages accounted for most of the inbox work time (mean 37%, SD 11%). A total of 3 patterns of inbox work emerged: inbox work mostly outside work hours, inbox work mostly during work hours, and inbox work extending after hours that were mostly contiguous to work hours. Across these 3 groups, physiologic stress patterns showed 3 periods in which stress increased: in the first hour of work, early in the afternoon, and in the evening. Physicians in group 1 had the longest average stress duration during work hours (80 out of 243 min of valid HRV data; P=.02), as measured by physiological sensors. Inbox work duration, the rate of EHR window switching (moving from one screen to another), the proportion of inbox work done outside of work hours, inbox work batching, and the day of the week were each independently associated with daily stress duration (marginal R
conclusionsThis study is among the first to demonstrate associations between electronic inbox work and physiological stress. We identified 3 potentially modifiable factors associated with stress: EHR window switching, inbox work duration, and inbox work outside work hours. Organizations seeking to reduce physician stress may consider system-based changes to reduce EHR window switching or inbox work duration or the incorporation of inbox management time into work hours.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.