Evidence map›Paper›PMID 39018492›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Accounting for taste: preferences mediate the relationship between documentation time and ambulatory physician burnout.

Nate C Apathy, Heather Hartman-Hall, Alberta Tran, Dae Hyun Kim, Raj M Ratwani, Daniel Marchalik

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Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

6 authors.

Nate C ApathyHealth Policy & Management, University of Maryland School of Public Health, College Park, MD 20742, United States.ORCID 0000-0002-7775-8544
Heather Hartman-HallMedStar Health Center for Wellbeing, MedStar Health, Columbia, MD 21044, United States.
Alberta TranInstitute for Quality and Safety, MedStar Health Research Institute, Columbia, MD 21044, United States.
Dae Hyun KimHealth Management and Policy, Georgetown University School of Health, Washington, DC 20007, United States.
Raj M RatwaniNational Center for Human Factors in Healthcare, MedStar Health Research Institute, Columbia, MD 21044, United States.
Daniel MarchalikMedStar Health Center for Wellbeing, MedStar Health, Columbia, MD 21044, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhysician burnout in the US has reached crisis levels, with one source identified as extensive after-hours documentation work in the electronic health record (EHR). Evidence has illustrated that physician preferences for after-hours work vary, such that after-hours work may not be universally burdensome. Our objectives were to analyze variation in preferences for after-hours documentation and assess if preferences mediate the relationship between after-hours documentation time and burnout. MATERIALS AND

methodsWe combined EHR active use data capturing physicians' hourly documentation work with survey data capturing documentation preferences and burnout. Our sample included 318 ambulatory physicians at MedStar Health. We conducted a mediation analysis to estimate if and how preferences mediated the relationship between after-hours documentation time and burnout. Our primary outcome was physician-reported burnout. We measured preferences for after-hours documentation work via a novel survey instrument (Burden Scenarios Assessment). We measured after-hours documentation time in the EHR as the total active time respondents spent documenting between 7 pm and 3 am.

resultsPhysician preferences varied, with completing clinical documentation after clinic hours while at home the scenario rated most burdensome (52.8% of physicians), followed by dealing with prior authorization (49.5% of physicians). In mediation analyses, preferences partially mediated the relationship between after-hours documentation time and burnout. DISCUSSION: Physician preferences regarding EHR-based work play an important role in the relationship between after-hours documentation time and burnout.

conclusionStudies of EHR work and burnout should incorporate preferences, and operational leaders should assess preferences to better target interventions aimed at EHR-based contributors to burnout.

Indexed as

Burnout, ProfessionalDocumentationElectronic Health RecordsPhysiciansAdultAfter-Hours CareAmbulatory CareAttitude of Health PersonnelFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTime Factorsdocumentation burdenEHR use metadataelectronic health recordmediation analysisphysician burnout

Identifiers

PMID39018492
PMCPMC11413435

What OpenQuestion holds

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Registered trials

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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.