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Enregistrement W2139428975 · doi:10.1080/20786204.2009.10873850

Reasons for doctor migration from South Africa

2009· article· en· W2139428975 sur OpenAlexaboutno aff
MJ Bezuidenhout, G Joubert, LA Hiemstra, MC Struwig

Notice bibliographique

RevueSouth African Family Practice · 2009
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSnowball samplingMedicineRemunerationGovernment (linguistics)Possession (linguistics)Developing countrySubsidyPoliticsEconomic growthPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

Background: The migration of doctors from their home countries is not a new phenomenon. Apart from voluntary migration due to various reasons, medical professionals, often from sub-Saharan Africa, are actively recruited by developed countries. Doctors in South Africa are esteemed for the high standard of training they receive locally, a quality which renders them prime candidates for employment. Various factors are involved in the push-pull theory of migration. It has, however, been reported extensively that push factors usually play a much greater role in doctors' decision to leave their countries of origin, than do pull factors in the host or recipient country. Push factors motivating migration most frequently include dissatisfaction with remuneration packages and working conditions, high levels of crime and violence, political instability, lack of future prospects, HIV/AIDS and a decline in education systems. In addition to a depletion of intellectual resources through losing highly qualified and skilled individuals, source countries also face substantial monetary implications caused by the migration of doctors. Government subsidy of medical students' training could be regarded as a lost investment when young graduates seek permanent employment abroad. The aim of the study was to investigate the profile of South African qualified physicians who had emigrated from South Africa.Methods: The investigation was conducted in 2005 as a descriptive study of participants found primarily by the snowball sampling method. The initial participants were known to the researcher. Participants had to be graduates from South African medical schools/faculties, living abroad and in possession of a permanent work permit in the countries where they were employed. Short-term locum doctors were not included. Information, consent letters and questionnaires were either hand-delivered or e-mailed, and completed forms and questionnaires were returned via these routes. Participation was voluntary.Results: Twenty-nine of 43 potential participants responded, of which 79.3% were male and 20.7% female between the ages of 28 and 64 years (median 47 years). The year of graduation ranged from 1964 to 2000 (median 1985), and the year of leaving the country ranged from 1993 to 2005 (median 2002). The majority (72.4%) were in private practice before they left, 27.5% had public service appointments and 17.3% were employed by private hospitals. Seventy-nine per cent of respondents had postgraduate qualifications. Countries to which migration occurred included New Zealand, United Arab Emirates, Bahrain, United Kingdom, Canada, Yemen and Australia. Forty-one per cent of respondents indicated that they would encourage South African young people to study medicine, although 75% would recommend newly graduated doctors to leave the country. Financial factors were indicated as a reason for leaving by 86.2% of the respondents, better job opportunities by 79.3%, and the high crime rate in South Africa by 75.9%. Only 50% of the respondents said that better schooling opportunities for their children played a role in their decision to leave the country. Approximately one-fifth (17.9%) of the respondents indicated that they already had family abroad by the time they decided to emigrate.Conclusions: Financial reasons were the most important motivating factor in this particular group of doctors who relocated to overseas destinations, followed by working conditions and the rate of crime and violence in the country. In comparison to other investigations published previously, the results presented here clearly indicate a tendency that more doctors offer financial and crime-related reasons for migration from South Africa than before. In order to prevent the loss of medical expertise from a society already in need of quality healthcare, issues compelling doctors to look for greener pastures should be addressed urgently and aggressively by stakeholders.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,000

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.

Tête enseignante Opus0,078
Tête enseignante GPT0,408
Écart entre enseignants0,330 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations99
Publié2009
Routes d'admission1
Résumé présentoui

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