Evidence map›Paper›PMID 42798809›Full record

ArticleJAMIA open2026

The use of objective EHR-and schedule-based clinical workload and EHR use measures in predicting inpatient pediatric provider burnout.

Amrita Sinha, Lindsay A Stevens, Felice Su, Natalie M Pageler, Daniel S Tawfik

Abstract read
In one paragraph

Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Amrita SinhaDivision of Medical Critical Care, Department of Pediatrics, Harvard Medical School, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0001-6171-6932
Lindsay A StevensDivision of General Pediatrics, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, United States.
Felice SuDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, United States.
Natalie M PagelerDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, United States.
Daniel S TawfikDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, United States.ORCID https://orcid.org/0000-0003-2901-2737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Characteristics of electronic health record (EHR) use associated with burnout in inpatient pediatric settings remain unclear. This study aims to (1) measure the relationship between subjective EHR experience and burnout and (2) identify objective EHR- and schedule-based measures associated with EHR experience and burnout. Materials and Methods: Inpatient pediatric providers at Lucile Packard Children's Hospital Stanford between June and October 2020 were included in this study. EHR experience and burnout scores were extracted from the wellness survey, and clinical workload and EHR-use measures were calculated from hospital EHR and schedule databases. Results: There was no independent association between subjective EHR experience and burnout. Among model-selected EHR- and schedule-based measures, number of patients whose charts were accessed to place notes and/or orders was significantly associated with lower EHR experience scores. None of the EHR- and schedule-based measures were selected as important predictor variables for burnout. Belonging to the Pediatric Critical Care Medicine (PCCM) division was independently associated with higher burnout scores. Discussion: Although one of the EHR- and schedule-based measures was associated with lower EHR experience scores, none were associated with burnout. Belonging to the PCCM division was significantly associated with burnout suggesting that there may be factors other than those associated with EHR use contributing to burnout. Conclusion: EHR- and schedule-based measures showed limited ability to predict EHR experience and burnout. Initiatives to reduce burnout may need to be targeted at the division level and should address factors beyond EHR use.

Indexed as

electronic health recordshealthcare providerhospitalspediatricsprofessional burnout

Identifiers

PMID42798809
PMCPMC13613066

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.