Evidence map›Paper›PMID 42125718›Full record

ReviewFrontiers in psychology2026

Burnout and patient safety: navigating between exaggerated evidence and warranted assertability.

Anthony Montgomery, Vilma Chalili, Ilias Maliousis, Olga Lainidi

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 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
0cells of the map it votes in
0citing 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

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

4 authors.

Anthony MontgomerySchool of Psychology, Northumbria University of Newcastle, Newcastle upon Tyne, United Kingdom.
Vilma ChaliliSchool of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Ilias MaliousisGreek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece.
Olga LainidiSchool of Psychology, University of Leeds, Leeds, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Job burnout is widely assumed to be a key driver of patient safety failures in healthcare, underpinning numerous research programmes and policy interventions. However, the strength and quality of the empirical evidence supporting this assumption remain unclear. Using a critical interpretive synthesis, we reviewed quantitative systematic reviews and interrogated the primary studies they included, allowing direct comparison between review-level conclusions and the underlying empirical evidence. Across eight reviews, only a minority of primary studies examined objective safety outcomes, and findings were inconsistent. Despite this, review conclusions often implied stronger and more generalisable effects than the evidence warranted. We identify four recurring problems in the literature: a narrow occupational focus, limited theoretical positioning of burnout within patient safety systems, extrapolation beyond objective evidence, and conflation of reported with observed safety events. Drawing on the concept of warranted assertability, we argue that burnout cannot currently be justified as a direct predictor of patient safety outcomes. Instead, burnout is better understood as a system-level condition that shapes care processes, reporting practices, and organisational adaptation. We conclude by proposing an open-systems framework for theorising burnout and patient safety that aligns psychological constructs with the realities of complex socio-technical healthcare systems.

Indexed as

healthcarejob burnoutmeasurementpatient safetysustainability

Identifiers

PMID42125718
PMCPMC13159486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.