Profile of registrars and reasons for specialisation
Notice bibliographique
Résumé
IntroductionThe shortage of general practitioners is a worldwide phenomenon and occurs in countries such as Canada, the United States of America and Saudi Arabia. Increasingly fewer students are interested in general practice as an occupation. Choosing a speciality is a complex process and is dependent on a wide range of intrinsic and extrinsic factors, including preference at the start of studies, experience during undergraduate training, and environmental factors such as cultural and socio-economic background. The aim of this study was to determine the profile of registrars at the Faculty of Health Sciences (University of the Free State), as well as their reasons for specialisation.MethodAll departments were contacted and the first author circulated questionnaires and informed consent forms during the academic afternoons. Questionnaires and informed consent forms were available in Afrikaans and English.ResultsOf the 150 questionnaires handed out, 109 were used for analysis (122 were received, of which 13 were incomplete). Most of the respondents were Afrikaans speaking (81.7%), male (68.8%), with a median age of 31 years (range 26 to 50 years), and married (67.6%). Only 13.8% of the respondents' fathers were medical doctors, 54.5% of which were general practitioners. Few respondents (13.8%) had needed to repeat any of their undergraduate studies, while 23.9% had received academic prizes. Most (91.7%) had completed family medicine during rotation in undergraduate training. The main specialisation areas were internal medicine, obstetrics and gynaecology, and radiology. Many respondents (76.9%) had worked in general practice or primary care for a median of two years (range 0.25 to 18 years). The main reasons for leaving primary care were overwork, wanting to function at a higher level, and that they saw no pathologies. Half of the respondents (49.9%) had never considered private practice as an occupation and the main reasons given were type of work and patient, no future for general practitioners, legislation, and inconvenient hoursConclusionThis study provides some indicators as to why fewer doctors are willing to work as general practitioners or primary healthcare physicians. An excessive workload in the primary healthcare setting was indicated by 31.3% of the respondents as the major reason why they chose not to stay.
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 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| 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 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,002 |
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 ».