Evidence map›Paper›PMID 39740218›Full record

ArticleInteractive journal of medical research2024

Personality Types of Medical Students in Terms of Their Choice of Medical Specialty: Cross-Sectional Study.

Małgorzata Tobiaszewska, Tytus Koweszko, Jonasz Jurek, Karolina Mikołap, Jacek Gierus, Jantoni Mikulski, Napoleon Waszkiewicz

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Małgorzata Tobiaszewska *Department of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0002-6686-4667
Tytus Koweszko *Department of Environmental Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0002-3696-0148
Jonasz Jurek *Department of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0001-9567-8663
Karolina Mikołap *Department of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0009-0002-3236-7061
Jacek Gierus *JGResearch, Warsaw, Poland.ORCID https://orcid.org/0000-0003-2532-3327
Jantoni MikulskiDepartment of Psychiatry, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0001-6370-0176
Napoleon Waszkiewicz *Department of Psychiatry, Medical University of Bialystok, Białystok, Poland.ORCID https://orcid.org/0000-0002-7021-5133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on personality types among doctors reveals its impact on medical specialty choices, suggesting that considering personality in career planning may enhance work satisfaction and reduce burnout risks.

objectiveThis study, encompassing 2104 medical students, explores how personality types, traits, and gender relate to specialty preferences.

methodsParticipants of this study were medical students from various universities in Poland. The study surveyed 2104 participants. Each participant completed a general questionnaire and a NERIS Type Explorer personality test, based on the Myers-Briggs Type Indicator inventory and the "Big Five" personality traits concept. The questionnaire was distributed on social media groups for medical students from all Polish universities. An exploratory statistical analysis was performed to find relationships. For each tested relationship a Fisher exact test was conducted and the significance level was P<.05. Each test resulted in a P value and odds ratio (OR) with a CI. To ensure we included undecided students and obtained meaningful data, we allowed participants to select up to three medical specialties from the 77 available in Poland at the time of the study.

resultsThe findings unveil significant relationships between gender, personality types, traits, and specialty preferences. Women tended to favor Neonatology (OR 9.15, 95% CI 3.02-45.46), while men leaned toward Orthopedics and traumatology of the locomotor system (OR 7.53, 95% CI 4.87-11.94). Extroverted, Intuitive, Feeling, Prospecting, and Turbulent students showed a heightened interest in Psychiatry (OR 2.23, 95% CI 1.64-3.01), whereas Introverted, Observant, Feeling, Judging, and Turbulent types favored Family Medicine (OR 2.98, 95% CI 2.08-4.24) and Pediatrics (OR 2.13, 95% CI 1.51-2.99).

conclusionsIn conclusion, this research establishes a link between personality and medical specialty selection. Taking into account the significant role of personality traits, it should be considered to integrate them into the process of selecting a medical career or designing a medical curriculum. This approach may allow for the customization of programs to match students' traits, thereby cultivating improved clinical communication skills, fostering interprofessional collaboration and ultimately enhancing treatment outcomes and professional fulfillment among physicians. The main limitation of this study is that it was conducted on medical students, who lack the full knowledge of the work as a specific specialist. A study surveying medical doctors with longer internships across different wards could be conducted to check for any variabilities. Moreover, there are other significant factors that influence one's medical specialty choice. Certainly, this area could be further explored.

Indexed as

burnoutcareercharacteristicsgenderjobmedical studentspersonality typepreferencesprofessionalpsychologypsychometricquestionnairespecialtysurveytraitsuniversity

Identifiers

PMID39740218
PMCPMC11733523

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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.