Evidence map›Paper›PMID 39436389›Full record

ArticleJournal of evaluation in clinical practice2025

Clinical supervision effectiveness in NHS nursing, medical and allied health professionals: Exploring interaction with workplace factors, supervision factors and burnout.

Emma Sellers, Sarah Craven-Staines, Claire Vaughan

Abstract readMulticenter Study
In one paragraph

Article in Journal of evaluation in clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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.

Emma SellersDepartment of Clinical and Health Psychology, Leeds Teaching Hospitals NHS Foundation Trust, Leeds, UK.ORCID 0009-0003-4853-356X
Sarah Craven-StainesDepartment of Psychology, Teesside University, Middlesbrough, UK.
Claire VaughanDurham Tees Valley ALD, Tees, Esk, and Wear Valleys NHS Foundation Trust, Darlington, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aimed to (1) determine if a variety of workplace and supervision factors predict clinical supervision effectiveness; and (2) establish if clinical supervision effectiveness predicts burnout, amongst a variety of mental health staff (medical, allied health, and nursing staff).

designThe study adopted a multicentre cross-sectional online survey design.

methodsParticipants included 204 mental health staff (89 allied health staff, 81 nursing staff, and 34 medical staff). The Manchester Clinical Supervision Scale (MCSS-26) was used to measure clinical supervision effectiveness, and the Maslach Burnout Inventory (MBI-HSS) was used to measure burnout. Linear regression analyses and multiple regression analyses were conducted.

resultsThe main findings suggested that supervision frequency, supervision duration, choice of supervisor, workplace setting, and supervisee profession, were all significant predictors of clinical supervision effectiveness. Additionally, clinical supervision effectiveness was a significant negative predictor of burnout.

conclusionsWorkplace and supervision factors should be considered in supervision practice across professional groups. Policies need to promote effective clinical supervision practice.

Indexed as

Allied Health PersonnelBurnout, ProfessionalWorkplaceAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedState MedicineSurveys and Questionnairesburnoutclinical supervision effectiveness

Identifiers

PMID39436389
PMCPMC12239542

What OpenQuestion holds

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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.