Evidence map›Paper›PMID 41585015›Full record

ArticleFrontiers in health services2025

Moderating effect of social support in the relationship between perceived work overload and patient safety behaviours among nursing interns in Nigeria.

Anthony Gbenro Balogun, Victor Chidi Onyencho, Choja Akpovire Oduaran

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. 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

3 authors.

Anthony Gbenro BalogunDepartment of Pure and Applied Psychology, Adekunle Ajasin University, Ondo, Nigeria.
Victor Chidi OnyenchoCommunity Psychosocial Research, North-West University, Potchefstroom, South Africa.
Choja Akpovire OduaranCommunity Psychosocial Research, North-West University, Potchefstroom, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient safety-related adverse events continue to pose a serious threat in healthcare, frequently arising from excessive job demands on frontline staff. It is particularly critical to understand how work overload affects nursing interns, a group vulnerable due to limited clinical experience. Purpose: This study examines the relationship between work overload and patient safety behaviours among nursing interns in Nigerian public hospitals. It also investigates whether perceived supervisor and coworker support moderate that relationship, guided by the Job Demands-Resources (JD-R) model. Methods: A cross-sectional survey was administered to nursing interns during clinical placements in government teaching hospitals located in the Southwest region of Nigeria, measuring self-reported work overload, perceived supervisor and coworker support, and medical error incidence. Results: Higher levels of reported work overload were found to significantly predict a higher incidence of self-reported patient safety errors. However, both perceived supervisor support and coworker support significantly moderated this association, helping to buffer the negative impact of work overload on the occurrence of patient safety errors. Conclusions: Social support from supervisors and colleagues serves as a protective resource in high-stress clinical environments. Health institutions should therefore promote supportive supervisory practices and team cohesion to mitigate patient safety-related adverse events and enhance the well-being and performance of early-career nurses.

Indexed as

coworker supportJD-R modelnursing internspatient safety behaviourssupervisor supportwork overload

Identifiers

PMID41585015
PMCPMC12827792

What Socratic 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 Socratic graph.