Evidence map›Paper›PMID 38231561›Full record

ArticleJMIR research protocols2024

Exploring Medical Career Choice to Better Inform Swiss Physician Workforce Planning: Protocol for a National Cohort Study.

Milena Abbiati, Mathieu R Nendaz, Bernard Cerutti, Monika Brodmann Mäder, Giatgen A Spinas, David Vicente Alvarez, Douglas Teodoro, Georges L Savoldelli, Nadia M Bajwa

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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 citations in OpenAlex.

  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

9 authors at 2 institutions in 1 country.

Milena AbbiatiUnit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-7434-9585
Mathieu R NendazUnit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-3795-3254
Bernard CeruttiUnit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-7929-3373
Monika Brodmann MäderSwiss Institute for Medical Education, Bern, Switzerland.ORCID https://orcid.org/0000-0001-5608-7887
Giatgen A SpinasSwiss Institute for Medical Education, Bern, Switzerland.ORCID https://orcid.org/0009-0007-6142-2564
David Vicente AlvarezDepartment of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-6319-3765
Douglas TeodoroDepartment of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-6238-4503
Georges L SavoldelliUnit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-8968-6920
Nadia M BajwaUnit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1445-4594
University of Geneva · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA medical student's career choice directly influences the physician workforce shortage and the misdistribution of resources. First, individual and contextual factors related to career choice have been evaluated separately, but their interaction over time is unclear. Second, actual career choice, reasons for this choice, and the influence of national political strategies are currently unknown in Switzerland.

objectiveThe overall objective of this study is to better understand the process of Swiss medical students' career choice and to predict this choice. Our specific aims will be to examine the predominately static (ie, sociodemographic and personality traits) and predominately dynamic (ie, learning context perceptions, anxiety state, motivation, and motives for career choice) variables that predict the career choice of Swiss medical school students, as well as their interaction, and to examine the evolution of Swiss medical students' career choice and their ultimate career path, including an international comparison with French medical students.

methodsThe Swiss Medical Career Choice study is a national, multi-institution, and longitudinal study in which all medical students at all medical schools in Switzerland are eligible to participate. Data will be collected over 4 years for 4 cohorts of medical students using questionnaires in years 4 and 6. We will perform a follow-up during postgraduate training year 2 for medical graduates between 2018 and 2022. We will compare the different Swiss medical schools and a French medical school (the University of Strasbourg Faculty of Medicine). We will also examine the effect of new medical master's programs in terms of career choice and location of practice. For aim 2, in collaboration with the Swiss Institute for Medical Education, we will implement a national career choice tracking system and identify the final career choice of 2 cohorts of medical students who graduated from 4 Swiss medical schools from 2010 to 2012. We will also develop a model to predict their final career choice. Data analysis will be conducted using inferential statistics, and machine learning approaches will be used to refine the predictive model.

resultsThis study was funded by the Swiss National Science Foundation in January 2023. Recruitment began in May 2023. Data analysis will begin after the completion of the first cohort data collection.

conclusionsOur research will inform national stakeholders and medical schools on the prediction of students' future career choice and on key aspects of physician workforce planning. We will identify targeted actions that may be implemented during medical school and may ultimately influence career choice and encourage the correct number of physicians in the right specialties to fulfill the needs of currently underserved regions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53138.

Indexed as

career choicemachine learningmedically underserved areamedical specialtymedical studentsmotivationphysician workforceprediction modelprofessional practiceresidents

Identifiers

PMID38231561
PMCPMC10831588
OpenAlexW4388942551

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.