Evidence map›Paper›PMID 36008065›Full record

SynthesisBMJ open2022

Predictors of burnout among US healthcare providers: a systematic review.

Lisa S Meredith, Kathryn Bouskill, Joan Chang, Jody Larkin, Aneesa Motala, Susanne Hempel

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–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

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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

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3 more citing papers are in PubMed but not listed here.

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.

Lisa S MeredithRAND Corporation, Santa Monica, California, USA lisa_meredith@rand.org.ORCID 0000-0003-4523-7098
Kathryn BouskillRAND Corporation, Santa Monica, California, USA.
Joan ChangPardee RAND Graduate School, RAND Corporation, Santa Monica, California, USA.
Jody LarkinRAND Corporation, Santa Monica, California, USA.
Aneesa MotalaRAND Corporation, Santa Monica, California, USA.
Susanne HempelRAND Corporation, Santa Monica, California, USA.ORCID 0000-0003-1597-5110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOne potential barrier to optimal healthcare may be provider burnout or occupational-related stress in the workplace. The objective of this study is to conduct a systematic review to identify the predictors of burnout among US. healthcare providers.

designSystematic review using in-depth critical appraisal to assess risk of bias and present the quality of evidence in synthesised results from the prognostic studies. DATA SOURCES: We searched 11 databases, registries, existing reviews and contacted experts through 4 October 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included all studies evaluating potential predictors and documenting the presence and absence of associations with burnout assessed as a multidimensional construct. We excluded studies that relied solely on a single continuous subscale of burnout. Data were abstracted from eligible studies and checked for accuracy by a content expert and a methodologist. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently screened citations and full-text publications using predetermined eligibility criteria.

resultsThe 141 identified studies evaluated a range of burnout predictors. Findings for demographic characteristics were conflicting or show no association. Workplace factors, such as workload, work/life balance, job autonomy and perceived support from leadership, had stronger associations with risk for burnout. Mental health factors, such as anxiety, and physical health risks may increase the risk, although the direction of these associations is unclear as few prospective studies exist to address this question. Factors such as social support appear to have a protective effect.

conclusionWe found the most evidence for workplace, mental health and psychosocial factors in predicting burnout but limited evidence for other potential predictors. However, more prospective studies are needed to improve our understanding about how to prevent provider burnout. PROSPERO REGISTRATION NUMBER: CRD4202014836.

Indexed as

Burnout, ProfessionalOccupational StressHealth PersonnelHumansProspective StudiesWorkplaceAnxiety disordersGENERAL MEDICINE (see Internal Medicine)MENTAL HEALTHPRIMARY CARE

Identifiers

PMID36008065
PMCPMC9422884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.