Mental health care in the primary care setting: family physicians' perspectives.
Notice bibliographique
Résumé
OBJECTIVE: To assess family physicians' interactions with mental health professionals (MHPs), their satisfaction with the delivery of mental health care in primary health care settings, and their perceptions of areas for improvement. DESIGN: Mailed survey. SETTING: Province of Saskatchewan. PARTICIPANTS: All FPs in Saskatchewan (N = 816) were invited to participate in the study; 31 were later determined to be ineligible because they were specialist physicians, were no longer practising regularly, or could not be located. MAIN OUTCOME MEASURES: Family physicians' self-reported satisfaction with and interest in mental health care; perceived strengths and areas for improvement in the quality of mental health care delivery in primary health care settings. RESULTS: The response rate was 48%, with 375 FPs completing the survey. More than half of the responding FPs (56%) reported seeing 11 or more patients with mental health problems per week. Although 83% of responding FPs were interested or very interested in identifying or treating mental health problems, fewer than half (46%) reported being satisfied with the mental health care they were able to deliver. Family physician satisfaction was significantly higher among those with on-site MHPs (P < .05) and those who saw fewer patients with mental health problems per week (P < .01). The most common mode of interaction that FPs reported having with MHPs was through written correspondence; somewhat less common were telephone and face-to-face interactions. The most common strength FPs identified in their provision of mental health care was having access to psychiatrists, community mental health nurses, and other MHPs. The most common area for improvement in primary mental health care also fell under the category of access. Specifically, FPs felt access to psychiatrists needed to be improved. CONCLUSION: Mental health problems are very common in primary care. Most FPs are very interested in the detection and treatment of mental health problems. Despite this high level of interest, however, FPs are generally dissatisfied with the quality of mental health care they are able to provide. Access to MHPs was cited as a critical element in improving the delivery of mental health services in primary care.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».