Evidence map›Paper›PMID 37923381›Full record

SynthesisApplied clinical informatics2024

Interventions to Reduce Electronic Health Record-Related Burnout: A Systematic Review.

Chaerim Kang, Indra Neil Sarkar

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
9.6field-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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Chaerim KangCenter for Biomedical Informatics, Brown University, Providence, Rhode Island, United States.
Indra Neil SarkarCenter for Biomedical Informatics, Brown University, Providence, Rhode Island, United States.
Brown University · USProvidence College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic health records are a significant contributing factor in clinician burnout, which negatively impacts patient care.

objectivesTo identify and appraise published solutions that aim to reduce EHR-related burnout in clinicians.

methodsA literature search strategy was developed following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Six databases were searched for articles published between January 1950 and March 2023. The inclusion criteria were peer-reviewed, full-text, English language articles that described interventions targeting EHR-related burnout in any type of clinician, with reported outcomes related to burnout, wellness, EHR satisfaction, or documentation workload. Studies describing interventions without an explicit focus on reducing burnout or enhancing EHR-related satisfaction were excluded.

resultsWe identified 44 articles describing interventions to reduce EHR-related burnout. These interventions included the use of scribes, EHR training, and EHR modifications. These interventions were generally well received by the clinicians and patients, with subjective improvements in documentation time and EHR satisfaction, although objective data were limited.

conclusionThe findings of this review underscore the potential benefits of interventions to reduce EHR-related burnout as well as the need for further research with more robust study designs involving randomized trials, control groups, longer study durations, and validated, objective outcome measurements.

Indexed as

Burnout, ProfessionalElectronic Health RecordsDocumentationHumansWorkload

Identifiers

PMID37923381
PMCPMC10764123
OpenAlexW4388314304

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.