MétaCan
Menu
Retour à la cohorte
Enregistrement W1484916377

Psychiatric training in rural and remote areas: increasing skills and building partnerships.

2005· article· en· W1484916377 sur OpenAlexaffabout
Andrea Berntson, Elliot M. Goldner, John Leverette, Pippa Moss, Mark Tapper, Brian Hodges

Notice bibliographique

RevuePubMed · 2005
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensCentre for Addiction and Mental Health
Organismes subventionnairesnon disponible
Mots-clésGeneral partnershipCurriculumRural areaMedical educationPsychologyMedicineSociologyPolitical sciencePedagogy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Andrea Berntson, MD1, Elliot Goldner, MD, MHSc, FRCPC2, John Leverette, MD, FRCPC3, Pippa Moss, MBBS, FRCPC4, Mark Tapper, MD, FRCPC5, Brian Hodges, MD, MEd, FRCPC6 This paper was developed in collaboration with the Canadian Psychiatric Association's Standing Committee on Education and was approved by the Canadian Psychiatric Association's Board of Directors on April 10, 2005. Rural or remote communities may be ideal locations to rain residents in general psychiatry. In addition, evidence from the rural medical education literature suggests that developing educational experiences in these communities may also improve recruitment and retention. University departments of psychiatry, in partnership with national organizations and underserved communities themselves, are beginning to develop training sites in small Canadian communities. This paper examines the educational opportunities for these sites and explores the necessary adaptation of existing curricula to provide optimal learning in rural and remote environments. Introduction Most Canadian provinces have a dramatic imbalance between the number of psychiatrists serving large urban centres and those serving rural and remote communities. Statistics on physician supply in Canada consistently reveal ratios as high as 1 psychiatrist for every 30 000 or more people in rural and remote regions (1). This contrasts sharply with ratios as low as 1 psychiatrist for every 5 000 to 12 000 people in the urban regions. Most studies recommend at least 1 psychiatrist for every 8 000 to 10 000 people (2,3). Until recently, despite long-standing recognition of this problem, academic health sciences centres seemed scarcely interested in addressing the issue. As Dongier noted in 1988, So far, professional associations have only produced sporadic efforts, and very few academics working in isolation have attempted to establish links with peripheral areas, with various degrees of cooperation and little lasting success (4, p 338). This is unfortunate because there is ample evidence that some of the main solutions to the problem are under the control of the academic centres. For example, many studies show that physicians are more likely to settle in areas with which they have had a prior personal contact during training (5,6). Curran and Rourke indicate that psychiatry residents who are not born or raised in a rural or underserviced area are more likely to practise in a rural area if they received early training exposure to rural practice (6). As well, the literature suggests that training psychiatric residents in rural and remote areas has clear benefits in regard to producing well-rounded general psychiatric graduates. After defining the parameters of rural, urban, and remote communities, this paper examines the CanMEDS competencies in this context. Next, the paper examines the barriers to developing programs in rural and remote psychiatry. These include the characteristics of rural psychiatrists, the unique demands of rural practice, and resident attitudes to such training. The attitudes of academic programs are examined, as well as their readiness (which includes appropriate supervision and funding) to provide such training. Also examined is the readiness of communities to be partners in the training element of decentralized psychiatry programs. Adjunct training issues such as the use of distance education and other technologies are reviewed. The impact of distributed training networks on recruitment and retention is considered, and the paper concludes with recommendations for practice. Definitions Rural communities are variously defined in Canada; no single, commonly accepted definition exists (7). The Organization for Economic Co-operation and Development considers a region to be rural if more than one-half the people live in communities with a population density of fewer than 150 persons per square kilometre (see www.hc-sc-gc. …

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,644
Score d'incertitude au seuil0,711

Scores Codex et Gemma par catégorie

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

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 Opus0,057
Tête enseignante GPT0,378
Écart entre enseignants0,320 · 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 tête enseignante, 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

Citations19
Publié2005
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revuePubMedMême sujetGlobal Health Workforce IssuesTravaux en français237 207