Asking patients about their religious and spiritual beliefs: Cross-sectional study of family physicians.
Notice bibliographique
Résumé
OBJECTIVE: To examine family physicians' practices in and opinions on asking patients about their religious and spiritual beliefs, as well as physicians' comfort levels in asking. DESIGN: Cross-sectional study using self-administered questionnaires. SETTING: Kitchener-Waterloo, Ont. PARTICIPANTS: A total of 155 family physicians with office practices. MAIN OUTCOME MEASURES: Frequency of asking patients about their religious and spiritual beliefs and physicians' comfort levels in asking. Separate multiple linear regression analyses were conducted for each of these outcomes. RESULTS: A total of 139 questionnaires were returned for a response rate of 89.7 %. Of the respondents, 51.8 % stated that they asked patients about their religious and spiritual beliefs sometimes. Physician opinion that it was important to ask patients about religious and spiritual beliefs (P = .001) and physician comfort level with asking (P < .001) were significantly associated with physicians' frequency of asking patients about their religious and spiritual beliefs. Comfort level with asking patients about their religious and spiritual beliefs was significantly associated with the opinions that it was important to ask (P = .004) and that it was their business to ask (P = .003), as well as with lack of training as the reason for not asking (P = .007). CONCLUSION: This study found that family physicians were more likely to ask patients about their religious and spiritual beliefs if they had higher comfort levels in asking or if they believed that asking was important. Further, this study found that family physicians' comfort level with asking was higher if they believed that it was important to ask and that it was their business to ask about religious and spiritual beliefs. Physician comfort levels with asking patients about religious and spiritual beliefs can be addressed through adequate training and education.
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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 | 0,000 | 0,000 |
| 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 ».