Medical students' views on oncology specialty: A cross-sectional study.
Notice bibliographique
Résumé
9038 Background: Understanding medical students’ views on oncology, including in jurisdictions where societal misperceptions and social stigma about oncology exist, could help foster higher interest in oncology field among future physicians. This study is conducted to identify factors associated with interest in oncology and likelihood of pursuing a career in an oncology-related field among medical students across various medical schools in the United Arab Emirates (UAE). Methods: A cross-sectional study involving students from 7 medical schools across UAE was conducted. Students’ demographics (n=5), oncology education (n=3) and prior exposure to oncology (n=6) were examined. Likert-type questions assessed students’ interest in oncology and likelihood of pursuing a career in oncology, students’ perspective on factors potentially affecting interest in oncology career (n=12) and the following constructed themes; i) general views about oncology (n=5), ii) confidence in skills related to challenging encounters (n=4), iii) oncology education (n=5) and iv) oncology support (n=4) in medical school. Pilot testing and validation was conducted with acceptable reliability (Cronbach’s alpha ≥ 0.70). A multivariable logistic regression model was employed to identify independent variables associated with study outcomes. Results: Of all completed responses (n=145), about half were from students in UAEU vs other schools and in pre-medical vs preclinical/clinical phase (46% vs 54% and 51% vs 49%, respectively). Most (63%) had family member diagnosed with cancer and approximately a third (33%) felt pessimistic about oncology. Approximately half agreed that cancer diagnosis is often associated with social stigma (56%) and misperceptions (55%). Overall, 52% and 30% were interested in oncology and likely to pursue a career in oncology, respectively. The highest student-ranked factors affecting interest in oncology career included feeling pessimistic/optimistic about cancer, personal/family experience in cancer, opportunities to participate in oncology research, and availability of mentorship and good local residency program. Interest in oncology and likelihood of pursuing a career in oncology were associated with family member diagnosed with cancer (OR 2.55; 1.07 - 6.28 and 4.67; 1.53 - 16.9, respectively), feeling pessimistic about cancer (0.35; 0.13 - 0.89 and 0.08; 0.01 - 0.35, respectively) and premedical vs preclinical/clinical phase (OR 0.21; 0.06 - 0.67 and 0.06; 0.01 - 0.30, respectively). Interest in oncology was also positively correlated with a composite score derived from all questions in the constructed themes (p = 0.014 Wilcoxon Test). Conclusions: Students interest in oncology, and pursuing a career in oncology, is associated with personal/family experience in cancer, pessimistic views about oncology, and availability of mentorship/research/residency, but not social stigma or societal misperceptions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».