Evidence map›Paper›PMID 41909086›Full record

ArticleMedEdPublish (2016)2025

Supervision Preparedness Among GP Registrars in the UK: A Survey Study.

Ioannis Saxionis, Bhargav Raut, Pritti Aggarwal, H P Patel

Abstract read
In one paragraph

Article in MedEdPublish (2016), 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

4 authors.

Ioannis SaxionisUniversity Hospital Southampton NHS Foundation Trust, Southampton, England, UK.ORCID https://orcid.org/0009-0008-3929-8904
Bhargav RautUniversity Hospital Southampton NHS Foundation Trust, Southampton, England, UK.
Pritti AggarwalLiving Well Practice, Southampton, UK.ORCID https://orcid.org/0009-0006-7406-7533
H P PatelUniversity Hospital Southampton NHS Foundation Trust, Southampton, England, UK.ORCID https://orcid.org/0000-0002-0081-1802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical supervision (CS) plays a vital role in healthcare education and patient safety. As general practice embraces a multidisciplinary workforce, GP registrars are increasingly expected to supervise Allied Health Professionals (AHPs) and medical students from day one after qualifying. However, the extent of their preparedness for such roles remains unclear. Methods We conducted a cross-sectional online survey between August 2024 and January 2025 among UK GP registrars. The survey included quantitative and qualitative items assessing supervision experience, confidence, and perceptions of training. Descriptive statistics and content analysis were used to analyse the data. Results: A total of 52 registrars responded. The majority (n = 50 [96%]) reported no formal training on how to effectively supervise. Only 15% were supervising medical students, and n = 2 (4%) were supervising AHPs. Key barriers to effective supervision included lack of training, time constraints, and uncertainty about roles. Registrars expressed strong interest in structured training to build confidence in supervision. Conclusions: GP registrars report limited training and confidence in clinical supervision, despite growing expectations to supervise a diverse primary care team. Structured educational interventions as part of continuing professional development are needed to support supervision readiness and ensure safe, effective practice in a multidisciplinary environment.

Indexed as

clinical supervision; GP registrars; medical education; primary care training; supervisory preparedness

Identifiers

PMID41909086
PMCPMC13019035

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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.