Evidence map›Paper›PMID 39884704›Full record

ArticleBJGP open2025

Factors associated with link workers considering leaving their role: a cross-sectional survey.

Stephanie Tierney, Lucy Moore, Debra Westlake, Kamal Mahtani, David Nunan, Kerryn Husk, Shoba Dawson, Jane Smith, Emma Fuller, Lilly Sabir and 2 more

Abstract read
In one paragraph

Article in BJGP open, 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. Article
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  3. Review
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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

12 authors.

Stephanie TierneyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK stephanie.tierney@phc.ox.ac.uk.ORCID https://orcid.org/0000-0002-2155-2440
Lucy MooreNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Debra WestlakeNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-6927-5040
Kamal MahtaniNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
David NunanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Kerryn HuskPeninsula Medical School, University of Plymouth, Plymouth, UK.
Shoba DawsonSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-6700-6445
Jane SmithUniversity of Exeter Medical School, University of Exeter, Exeter, UK.
Emma FullerOxford City Primary Care Services, Oxford, UK.
Lilly SabirOxford Health NHS Foundation Trust, Oxford, UK.
Pauline RobertsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Obioha UkoumunneUniversity of Exeter Medical School, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-0551-9157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial prescribing (SP) link workers (LWs) listen to patients' concerns and difficulties, and connect them to relevant community assets (groups, organisations, or charities) that can help with their non-medical issues (for example, loneliness, debt, housing). LW retention is key to sustaining SP within primary care.

aimTo examine occupational self-efficacy, job discrepancy, and other factors as potential predictors of LWs' intentions to leave or remain in their posts. DESIGN &

settingCross-sectional survey involving LWs from the United Kingdom.

methodAn online questionnaire was distributed via SP-related organisations. Questions were on the following: (a) intention to leave the role; (b) demographics; and (c) role experience, including occupational self-efficacy and discrepancy between expectations and reality of the job. Questions were mainly closed, although some allowed LWs to provide a written response. Logistic regression models were fitted to identify predictors, and content analysis used to categorise open-ended responses.

resultsIn total, 342 questionnaire responses were included in the analysis. Higher job discrepancy was associated with past (odds ratio [OR] per 30 unit

conclusionFindings highlight factors influencing LW retention, offering a foundation for targeted interventions, which could include clearer communication about the role during recruitment, and adjusting job descriptions and support when required.

Indexed as

cross-sectional studiesjob retentionlink workersprimary health caresocial prescribing

Identifiers

PMID39884704
PMCPMC12728871

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LicenceCC BY
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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 OpenQuestion graph.