Evidence map›Paper›PMID 33908888›Full record

ArticleJMIR medical informatics2021

Physician Stress During Electronic Health Record Inbox Work: In Situ Measurement With Wearable Sensors.

Fatema Akbar, Gloria Mark, Stephanie Prausnitz, E Margaret Warton, Jeffrey A East, Mark F Moeller, Mary E Reed, Tracy A Lieu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT05106647 nacompletednot on this map

Reducing Work-related Screen Time in Health Care Workers During Leisure Time

TypeinterventionalSponsorUniversity of NebraskaRan2021 to 2023Enrolled520ConditionsStress, Burnout, CaregiverArmsReduce screen time
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. From Monitoring to Assisting: A Systematic Review towards Healthier Workplaces.International journal of environmental research and public health · 2022
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  18. Primary care staff members' experiences with managing electronic health record inbox messages.Journal of the American Medical Informatics Association : JAMIA · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Fatema AkbarDepartment of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0001-5638-6836
Gloria MarkDepartment of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-2492-2424
Stephanie PrausnitzDivision of Research, Kaiser Permanente Northern California, Oakland, CA, United States.ORCID https://orcid.org/0000-0003-1729-5426
E Margaret WartonDivision of Research, Kaiser Permanente Northern California, Oakland, CA, United States.ORCID https://orcid.org/0000-0001-6613-3947
Jeffrey A EastThe Permanente Medical Group, Oakland, CA, United States.ORCID https://orcid.org/0000-0002-8932-6407
Mark F MoellerThe Permanente Medical Group, Oakland, CA, United States.ORCID https://orcid.org/0000-0002-6838-523X
Mary E ReedDivision of Research, Kaiser Permanente Northern California, Oakland, CA, United States.ORCID https://orcid.org/0000-0002-8203-1016
Tracy A LieuDivision of Research, Kaiser Permanente Northern California, Oakland, CA, United States.ORCID https://orcid.org/0000-0002-3516-4617
Kaiser Permanente · USUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

after-hours workEHR alertselectronic health recordselectronic mailHRVInbasketinboxphysician well-beingstresswearables

Identifiers

PMID33908888
PMCPMC8116996
OpenAlexW3159335488

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.