Evidence map›Paper›PMID 39499515›Full record

SynthesisJAMA network open2024

Nurse Burnout and Patient Safety, Satisfaction, and Quality of Care: A Systematic Review and Meta-Analysis.

Lambert Zixin Li, Peilin Yang, Sara J Singer, Jeffrey Pfeffer, Maya B Mathur, Tait Shanafelt

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 241 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
241citing papers in PubMed, 8 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

241 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  14. Exploring burnout: An online survey among diverse nursing teams in Germany.International journal of nursing studies advances · 2026
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181 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.

Lambert Zixin LiGraduate School of Business, Stanford University, Stanford, California.
Peilin YangGraduate School of Business, Stanford University, Stanford, California.
Sara J SingerSchool of Medicine, Stanford University, Stanford, California.
Jeffrey PfefferGraduate School of Business, Stanford University, Stanford, California.
Maya B MathurSchool of Medicine, Stanford University, Stanford, California.
Tait ShanafeltSchool of Medicine, Stanford University, Stanford, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Occupational burnout syndrome is characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment and is prevalent among nurses. Although previous meta-analyses have explored the correlates of nurse burnout, none have estimated their association with health care quality and safety and patient morbidity and mortality. Objective: To evaluate the magnitude and moderators of the association between nurse burnout and patient safety, patient satisfaction, and quality of care. Data Source: The Web of Science, Scopus, MEDLINE, Embase, PsycINFO, CINAHL, and ProQuest databases were searched from January 1, 1994, to February 29, 2024. Study Selection: Two reviewers independently identified studies that reported a quantifiable association between nurse burnout and any of the outcomes of patient safety, patient satisfaction, or quality of health care. Data Extraction and Synthesis: The PRISMA 2020 guideline was followed. Two reviewers independently extracted the standardized mean difference (SMD) (Cohen d) estimates for a random-effects meta-analysis. Subgroup analyses and meta-regressions were conducted using prespecified variables. Main Outcomes and Measures: Any measure of patient safety, patient satisfaction, or quality of health care previously associated with nurse burnout. Results: A total of 85 studies (81 cross-sectional and 4 longitudinal) involving 288 581 nurses from 32 countries (mean [SD] age, 33.9 (2.1) years; 82.7% female; mean [SD] burnout prevalence rate with study-specific ascertainments, 30.7% [9.7%]) were included. Nurse burnout was associated with a lower safety climate or culture (SMD, -0.68; 95% CI, -0.83 to -0.54), lower safety grade (SMD, -0.53; 95% CI, -0.72 to -0.34), and more frequent nosocomial infections (SMD, -0.20; 95% CI, -0.36 to -0.04), patient falls (SMD, -0.12; 95% CI, -0.22 to -0.03), medication errors (SMD, -0.30; 95% CI, -0.48 to -0.11), adverse events or patient safety incidents (SMD, -0.42; 95% CI, -0.76 to -0.07), and missed care or care left undone (SMD, -0.58; 95% CI, -0.91 to -0.26) but not with the frequency of pressure ulcers. Nurse burnout was also associated with lower patient satisfaction ratings (SMD, -0.51; 95% CI, -0.86 to -0.17) but not with the frequencies of patient complaints or patient abuse. Finally, nurse burnout was associated with lower nurse-assessed quality of care (SMD, -0.44; 95% CI, -0.57 to -0.30) but not with standardized mortality rate. The associations were consistent across nurses' age, sex, work experience, and geography and persistent over time. For patient safety outcomes, the association was smaller for the low personal accomplishment subcomponent of burnout than for emotional exhaustion or depersonalization, as well as for nurses with a college education. Conclusions and Relevance: In this systematic review and meta-analysis, nurse burnout was found to be associated with lower health care quality and safety and lower patient satisfaction. This association was consistent across nurse and study characteristics.

Indexed as

Burnout, ProfessionalPatient SafetyPatient SatisfactionQuality of Health CareAdultFemaleHumansMaleNursesNursing Staff, Hospital

Identifiers

PMID39499515
PMCPMC11539016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.