Evidence map›Paper›PMID 39059007›Full record

ArticleJMIR research protocols2024

Factors Affecting Specialty Training Preference Among UK Medical Students (FAST): Protocol for a National Cross-Sectional Survey.

Tomas Ferreira, Alexander M Collins, Benjamin French, Amelia Fortescue, Arthur Handscomb, Ella Plumb, Emily Bolton, Oliver Feng

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

8 authors.

Tomas FerreiraBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-1465-522X
Alexander M CollinsBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-6553-8002
Benjamin FrenchBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-9457-1637
Amelia FortescueBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0009-0007-8966-2148
Arthur HandscombBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0009-0007-5318-5351
Ella PlumbBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0009-0009-4394-3766
Emily BoltonBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0009-0008-9294-9585
Oliver FengDepartment of Mathematical Sciences, University of Bath, Bath, United Kingdom.ORCID 0000-0003-0039-7039

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe UK medical education system faces a complex landscape of specialty training choices and heightened competition. The Factors Affecting Specialty Training Preference Among UK Medical Students (FAST) study addresses the need to understand the factors influencing UK medical students' specialty choices, against a backdrop of increasing challenges in health care workforce planning.

objectiveThe primary objectives of the FAST study are to explore UK medical students' preferred specialties and the factors that influence these choices. Secondary objectives are to evaluate students' confidence in securing their chosen specialty, to understand how demographic and academic backgrounds affect their decisions, and to examine how specialty preferences and confidence levels vary across different UK medical schools.

methodsA cross-sectional survey design will be used to collect data from UK medical students. The survey, comprising 17 questions, uses Likert scales, multiple-choice formats, and free-text entry to capture nuanced insights into specialty choice factors. The methodology, adapted from the Ascertaining the Career Intentions of UK Medical Students (AIMS) study, incorporates adjustments based on literature review, clinical staff feedback, and pilot group insights. This approach ensures comprehensive and nondirective questioning. Data analysis will include descriptive statistics to establish basic patterns, ANOVA for group comparisons, logistic regression for outcome modeling, and discrete choice models for specialty preference analysis.

resultsThe study was launched nationally on December 4, 2023. Data collection is anticipated to end on March 1, 2024, with data analysis beginning thereafter. The results are expected to be available later in 2024.

conclusionsThe FAST study represents an important step in understanding the factors influencing UK medical students' career pathways. By integrating diverse student perspectives across year groups and medical schools, this study seeks to provide critical insights into the dynamics of specialty, or residency, selection. The findings are anticipated to inform both policy and educational strategies, aiming to align training opportunities with the evolving needs and aspirations of the future medical workforce. Ultimately, the insights gained may guide initiatives to balance specialty distribution, improve career guidance, and improve overall student satisfaction within the National Health Service, contributing to a more stable and effective health care system. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55155.

Indexed as

Career ChoiceStudents, MedicalCross-Sectional StudiesFemaleHumansMaleSpecializationSurveys and QuestionnairesUnited Kingdommedical educationmedical studentsNational Health ServiceNHSspecialty preferencesworkforce planning

Identifiers

PMID39059007
PMCPMC11316162

What OpenQuestion holds

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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.