Evidence map›Paper›PMID 41981561›Full record

ArticleBMC medical education2026

Exploring factors influencing medical specialty choice among undergraduates in The Gambia: a situated expectancy-value theory approach.

Andrea Nicaise Bikay, Oke-Oghene P Akpoveso, Chijioke Joel Nweke, Emmanuel C Ekeoma, Priscilla B Tambe, Abubakar Kabiru

Abstract read
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Article in BMC medical education, 2026. 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
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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

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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

6 authors.

Andrea Nicaise BikaySchool of Medicine and Allied Health Sciences, University of The Gambia, P.O. Box 3530, MDI Road, Kanifing South, Serrekunda, The Gambia. andreabikay06@gmail.com.
Oke-Oghene P AkpovesoChongqing Joint Educational Programme, Leicester Medical School, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Chijioke Joel NwekeDepartment of Mathematics and Statistics, Alex Ekwueme Federal University, Ndufu-Alike , P.M.B. 1010, Abakaliki, Ebonyi State, Nigeria.
Emmanuel C EkeomaDepartment of Civil Engineering, Michael Okpara University of Agriculture, P. M. B. 7267, Umudike, Umuahia, Abia State, Nigeria.
Priscilla B TambeDr Tambe Eye Clinic and Specialized Medical Services, Buea, Cameroon.
Abubakar KabiruSchool of Medicine and Allied Health Sciences, University of The Gambia, P.O. Box 3530, MDI Road, Kanifing South, Serrekunda, The Gambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe selection of a medical specialty is a critical juncture in the professional development of medical students, with implications for individual career satisfaction and for the distribution of the national health workforce. In low-resource settings such as The Gambia, aligning students’ specialty choices with healthcare needs is essential for addressing persistent shortages in key areas. Situated-Expectancy-Value Theory (SEVT) offers a robust framework to understand how expectations of success and the perceived value of different specialties influence decision-making. This study applies SEVT to explore contemporary factors shaping specialty choice among Gambian medical students.

methodA cross-sectional survey was conducted among clinical-year medical students at two medical schools in The Gambia: the University of The Gambia and the American International University. A structured questionnaire, developed using the Expectancy-Value Theory framework, assessed 19 motivational factors across expectancy, value, and cost domains. Data were analyzed using SPSS software. The Fisher–Freeman–Halton test was conducted to identify associations between demographic variables and specialty preferences.

resultsA total of 150 students participated in the study, with 58.7% female and 41.3% male participants. Aggregation of participants’ first to third specialty choices showed that surgery was most frequently selected (n = 94), followed by internal medicine (n = 78) and obstetrics and gynaecology (n = 51). Radiology, Ear, Nose, and Throat (ENT), and pathology had similarly low preferences, while Basic sciences and psychiatry recorded the lowest frequency as first-choice specialties. Based on the expectancy-value theory framework, significant motivating factors were intrinsic (P = 0.049) and attainment/perceived meaningfulness (P = 0.047). The Fisher–Freeman–Halton test also revealed a statistically significant association between gender and specialty choice(P = 0.012). The student’s academic level also significantly influenced specialty selection (p < 0.001). No significant association was found between socio-demographic characteristics such as parental income, education, age, nationality, or area of residence and specialty choice.

conclusionThis study identifies internal medicine, surgery, obstetrics, and gynaecology as the most preferred specialties, with gender and level of clinical exposure emerging as key factors influencing medical specialty choice. Our findings further reveal that specialty decisions are shaped by intrinsic motivation, such as intellectual challenges in the specialty, and desire to provide community service, and by attainment values, including role models in the selected specialty and perceived prestige of the specialty. The study provides insight into how students’ personal values, sociocultural expectations, and educational context in The Gambia shapes their career aspirations. It also highlights gendered patterns in specialty preferences. We propose that aligning students’ interests through early exposure and culturally responsive teaching beyond traditional career counselling could better support informed specialty choices and contribute to workforce planning. Implications for policy implementation and workforce planning are discussed.

Indexed as

Career ChoiceMedicineSpecializationStudents, MedicalAdultCross-Sectional StudiesEducation, Medical, UndergraduateFemaleGambiaHumansMaleMotivationSurveys and QuestionnairesYoung AdultMedical studentsMotivationSituated expectancy-value theorySpecialty choices

Identifiers

PMID41981561
PMCPMC13224476

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LicenceCC BY-NC-ND
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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.