Short report: Scope of family practice in rural and urban settings.
Notice bibliographique
Résumé
amily physicians in all settings provide a variety of procedures.1,2 Rural doctors tend to provide a greater number or variety of procedures than their urban counterparts.1,2 What has not been studied well is where practice patterns diff er on the rural-urban continuum and the relative importance of variables that contribute to the diff erences. Our hypothesis was that geography is the predominant predictor of scope of practice and might be a more signifi cant predictor than physicians’ age1,2 or sex.3 Primary data source for this study was the 1997 College of Family Physicians of Canada’s National Family Physician Survey.4 A practice breadth score was calculated by totaling the survey responses from each of 16 questions on procedures and eight on on-call activities. Geographic location of practices was determined using the postal codes provided by the 2981 respondents matched with 1996 census data and geography. Straight-line distances were computed between practice location and nearest hospitals and communities of various sizes. Th e practice breadth score was modeled using independent variables: sex, age, practice type, straight-line distance to large referral hospital (>299 beds), municipal population size, and general region (Atlantic, Quebec, Ontario, Prairies, Alberta, British Columbia, Northern). Multivariate logistic regression was done to confi rm independence of variables and to determine the relative weight of each parameter in determining the total practice breadth score. A sum of squares analysis was done to determine how close the model fi t to observed variation in practice breadth. In smaller centres, 21 of the 24 procedures and on-call items were found to be more common (Table 1). When all 24 items were combined in the practice breadth score, a progression (Figure 1) was noted in association with increasing distance from a large city (>100 000 population). A multivariate statistical model based on factors of sex, age, practice type, distance to large hospital, municipal population, and region was found to explain 38% of the variation in practice breadth score. Pearson correlates to practice breadth were strongest for the geographic variables of distance to large hospital (0.401, P < .01), community size (-0.363, P < .01) and region (0.184, P < .01), which together accounted for 30% of the variation. An additional 8% of the variation in practice breadth was explained by personal characteristics of sex (0.172, P < .01), age (-0.123, P < .01), and type of medical practice (-0.083, P < .01). Our analyses suggest that, as geographic isolation increases, Canadian family physicians provide an increasingly broad spectrum of services. Our study confi rms earlier work that male sex,3 youth of physician,1,2 and FP group practice5 are associated with increased breadth of practice. Focusing Dr Hutten-Czapski is a family physician in rural practice in Haileybury, Ont. He is an Assistant Professor at the University of Ottawa and at the Northern Ontario School of Medicine. Dr Pitblado is a Professor of Geography at Laurentian University in Sudbury, Ont. Mr Slade is a research consultant at the Canadian Institute for Health Information.
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 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 | 0,002 | 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 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».