Uncertainty in Medical and Dental Students of Pakistan Regarding Their Future Career and Its Major Causes: A Cross-Sectional Study
Notice bibliographique
Résumé
OBJECTIVES: This study aimed to evaluate the extent of confidence in medical and dental students regarding their careers after being enrolled in their germane institutes and to identify the magnitude of uncertainty in medical and dental students about their careers and the important causes of this uncertainty. METHODS: This study was conducted among enrolled students in different medical and dental colleges and universities of Pakistan, including the public and private sectors, from March 1 to March 15, 2023. The level of confidence in their career was evaluated using a close-ended questionnaire of a three-point Likert scale developed and tested by the investigators and approved by the Ethical Review Board (ERB) along with the synopsis. Data were managed and analyzed using Microsoft Excel 19 (Microsoft Corporation, USA) and IBM SPSS Statistics for Windows, version 27 (released 2020; IBM Corp., Armonk, New York, United States). RESULTS: This study included 1,126 students from public and private medical and dental institutes. The majority of participants 965(85.7%) were satisfied with their chosen profession, and 1,042 (92.5%) students believed they could make a positive contribution to society. Out of the total participants, 246 (21.8%) students showed their intention of changing careers if provided with a comparable/alternative opportunity. A very small proportion, 154 (13.7%), were dissatisfied with their current clinical training and studies. The study also revealed that extra and unjustified academic pressure from institutions is the leading cause of uncertainty among students. Moreover, the lack of psychological support and counseling provided during the academic years adds to the magnitude of uncertainty. CONCLUSION: In Pakistan, a staggering number of medical and dental students are unsure of their future careers and career prospects. The main causes of this uncertainty are the extra, unwarranted academic pressure that institutions place on students and the dearth of psychological support and counseling offered during the course of studies. This study not only highlights the prevailing uncertainty among medical students but also identifies the causes behind it. Addressing these causes can alleviate the prevailing uncertainty and bring about satisfactory and productive academic achievements without suffering from worries about the future.
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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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».