Evidence map›Paper›PMID 37130349›Full record

ArticleOccupational medicine (Oxford, England)2023

Shift work characteristics and burnout among nurses: cross-sectional survey.

C Dall'Ora, O-Z Ejebu, J Ball, P Griffiths

Abstract read
In one paragraph

Article in Occupational medicine (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

C Dall'OraSchool of Health Sciences, University of Southampton, Southampton, UK.ORCID 0000-0002-6858-3535
O-Z EjebuSchool of Health Sciences, University of Southampton, Southampton, UK.
J BallSchool of Health Sciences, University of Southampton, Southampton, UK.
P GriffithsSchool of Health Sciences, University of Southampton, Southampton, UK.

Funding

Applied Research Collaboration WessexDepartment of Health and Social CareNIHR Applied Research Collaboration Wessex
6 · The paper itself

Abstract

backgroundNurses working long shifts (≥12 h) experience higher levels of burnout. Yet other shift characteristics, including fixed versus rotating night work, weekly hours and breaks have not been considered. Choice over shift length may moderate the relationship; however, this has not been tested.

aimsTo examine the association between shift work characteristics and burnout and exhaustion, and whether choice over shift length influences burnout and exhaustion.

methodsCross-sectional online survey of nursing staff working in the UK and Ireland. We recruited two large National Health Service Trusts, through trade union membership, online/print nursing magazines and social media. We assessed associations using both univariable and multivariable generalized linear models.

resultsWe had 873 valid responses. Reports of inadequate staffing levels (odds ratio [OR] = 2.84; 95% confidence interval [CI] 2.08-3.90) and less choice over shift length (OR = 0.20; 95% CI 0.06-0.54) were associated with higher burnout in multivariable models. Similar associations were found for exhaustion, where rarely or never taking breaks was also a predictor (OR = 1.61; 95% CI 1.05-2.52). Nurses who worked long shifts had less choice than those working shifts of 8 h or less (66% of 12-h shift nurses versus 44% 8-h shift nurses reporting having no choice), but choice did not moderate the relationship between shift length and burnout and exhaustion.

conclusionsThe relationship between long shifts and increased burnout reported previously might have arisen from a lack of choice for those staff working long shifts. Whether limited choice for staff is intrinsically linked to long shifts is unclear.

Indexed as

Burnout, ProfessionalNursesShift Work ScheduleCross-Sectional StudiesHumansState MedicineSurveys and QuestionnairesWork Schedule Tolerance

Identifiers

PMID37130349
PMCPMC10195190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.