Shaping the future of primary healthcare: Factors influencing medical students’ preference for family medicine specialty in Qatar
Notice bibliographique
Résumé
BACKGROUND: As countries strive to strengthen primary healthcare systems, understanding medical students' specialty preferences, particularly for Family Medicine, becomes crucial. Objective of present study was to determine factors that influence medical students' preferences for Family Medicine in Qatar. MATERIALS AND METHODS: A study was conducted among medical students at one public university in Qatar from March 1, 2023, to March 15, 2023. Data collected using a structured, validated questionnaire; students participated in the study by filling an online questionnaire. Information sought included sociodemographic characteristics, medical specialty preferences, and the impact of 31 factors on these choices such as interest in dealing with diverse patient issues, and the influence of physician role models among others. Statistical analysis performed using SPSS version 26.0 Descriptive statistics, including frequencies and percentages, were used to summarize participant demographics and medical specialty preferences. Mann-Whitney U-test tested the difference in preference for family medicine specialty by various students' characteristics. Logistic regression analysis performed to identify factors related to preferring Family Medicine. RESULTS: A total of 262 students completed the survey with age ranging between 17-24 years (Mean=20, SD=1.7 years); majority (68.3%) were females and 54.4% were non-Qatari. About 16% students reported having a first degree relative or a family friend with family medicine specialty. Compared to surgery and internal medicine, a fewer students selected family medicine as their preferred specialty. Surgery was ranked as the top career choice (53.4%) followed by internal medicine (36.5%) and pediatrics (31.7%). Presence of a personal connection to a field seemed to have a significant impact on student preference. Being in the clerkship phase of medical education (adjusted odds ratio [AOR]=2.18, 95% CI: 1.12-4.23, P = 0.022) and possessing a personal connection to Family Medicine (AOR= 3.46, 95% CI: 1.65-7.29, P = 0.001) significantly predicted the selection of Family Medicine between students' top two choices. CONCLUSION: Clinical exposure and personal connections influence students' preference for family medicine specialty. Promoting these elements through targeted educational and mentorship programs may increase students' interest in Family Medicine and help to address the gap between student preferences and the greater need for primary care providers.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».