Evidence map›Paper›PMID 37786632›Full record

ArticleFuture healthcare journal2023

Recruitment of medical graduates from Prague to foundation programme jobs in a UK hospital: results of a 6-year project.

Rute Castelhano, Varun Kakkar, Carolyn McKinlay, Kirsty Nelson-Smith, Jessica Daniel, John Grice, Alexander Ashmore, David Woods

Abstract read
In one paragraph

Article in Future healthcare journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Rute CastelhanoWythenshawe Hospital, Manchester, UK.
Varun KakkarNorth Manchester General Hospital, Manchester, UK.
Carolyn McKinlayGreat Western Hospital, Swindon, UK.
Kirsty Nelson-SmithGreat Western Hospital, Swindon, UK.
Jessica DanielGreat Western Hospital, Swindon, UK.
John GriceGreat Western Hospital, Swindon, UK.
Alexander AshmoreGreat Western Hospital, Swindon, UK.
David WoodsGreat Western Hospital, Swindon, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: International medical graduates (IMGs) are required to fill foundation-level posts in the NHS. Recruiting for these posts is difficult and time consuming. In 2016, we created a link between the Great Western Hospital, Swindon and Charles University, Prague to recruit to these posts. Here, we describe in detail the recruitment process, level of support and outcomes after 6 years, including the success rate of completion of foundation training and their career progression. Methods: Formal structured interviews occurred in Prague or online. Support included tailored educational/clinical supervision and additional simulation sessions. Data collected included exception reports and sick leave records. In 2022, a survey established satisfaction levels with the project and subsequent career progression. Results: All 51 doctors (100%) recruited as IMGs completed foundation training. Exception reporting and sick leave were below the Trust average. Of those doctors, 39 (76%) replied to the survey. All reported that the appointments helped them progress in their careers and 23 (45%) have subsequently been appointed successfully to a national Specialty Training Scheme. Conclusions: This project improved recruitment of non-deanery foundation doctors, prevented rota gaps and provided adequate staffing of junior doctors in our hospital. Concerns around employment of IMGs can be offset by providing a supportive and developmental environment.

Indexed as

IMGNational Training Numberrecruitmentstaff levels

Identifiers

PMID37786632
PMCPMC10540801

What OpenQuestion 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 OpenQuestion graph.