Evidence map›Paper›PMID 37946016›Full record

ArticleJournal of general internal medicine2024

A Model of Burnout Among Healthcare Professionals.

Jeffrey L Jackson, Akira Kuriyama, Kumiko Muramatsu

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 citing papers in PubMed.

  1. Are Difficult Inpatients Also Difficult Primary Care Patients?Journal of general internal medicine · 2026
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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

3 authors.

Jeffrey L JacksonGIM Section, Clement J Zablocki VAMC, Milwaukee, WI, USA.ORCID 0000-0002-9820-5834
Akira KuriyamaEmergency and Critical Care Medicine, Kurashiki Central Hospital, Okayama, Japan. akira.kuriyama.jpn@gmail.com.
Kumiko MuramatsuDepartment of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurnout is common and can lead to worse outcomes for both healthcare workers and patients. Our study purpose was to assess the structural relationship among factors that protect against or worsen burnout. DATA SOURCES AND STUDY

settingWe surveyed healthcare professionals in 15 different Japanese intensive care units during the 3rd wave of the COVID-19 pandemic (March 2021). Surveys assessed burnout (Mini Z 2.0), resilience (Brief Resilience Scale), depressive (PHQ-9) and anxiety (GAD-7) symptoms, job and work environment characteristics, and personal experience with COVID. We explored survey domains with principal component factor analysis and modeled our results using structural equation modeling. PRINCIPAL

findingsAmong 936 ICU professionals, 24.3% met criteria for burnout. Our model suggested that resilience (β =  - 0.26, 95% CI - 0.32 to - 0.20), teamwork (β =  - 0.23, 95% CI - 0.30 to - 0.16), and feeling safe (β =  - 0.11, 95% CI - 0.18 to - 0.04) reduced burnout. Depression (β =  - 0.32, 95% CI - 0.41 to - 0.23) and anxiety (β =  - 0.20, 95% CI - 0.29 to - 0.10) both decreased resilience as did COVID fear (β = 0.08, 95% CI - 0.14 to - 0.02). In addition to directly reducing resilience, anxiety also indirectly reduced resilience by increasing COVID fear (0.23, 95% CI 0.17 to 0.23), which decreased resilience (β - 0.08, 95% CI - 0.14 to - 0.02).

conclusionsBurnout is common among Japanese ICU professionals. Resilience, teamwork, and safety are all correlated with reduced burnout. Those who had depression or anxiety or COVID fear had higher degrees of burnout, an effect that appears to be mediated by reduced resilience. These are potential targets for interventions to reduce burnout.

Indexed as

Burnout, ProfessionalPandemicsAnxietyBurnout, PsychologicalDelivery of Health CareHealth PersonnelHumans

Identifiers

PMID37946016
PMCPMC10897092

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.