District nurses’ involvement and attitudes to mental health problems: a three‐area cross‐sectional study
Notice bibliographique
Résumé
AIMS AND OBJECTIVES: The main aims of this study were to obtain information on the extent of staff contact and input with mental health problems and to determine their experience, training and attitudes to such problems. BACKGROUND: Historical changes and policy shifts have resulted in primary care providers playing an increasing role in the care of mental health problems. Such problems are common within community settings and a major cause of suffering and disability. District nurses in particular are likely to encounter a high level of psychological co-morbidity in their patients. Information is lacking on their involvement, attitudes and specific training for this area of their work. DESIGN AND METHODS: A cross-sectional study was conducted of the staff of district nursing services in three areas, Jersey (Channel Islands), Lewisham and Hertfordshire, using a postal questionnaire. RESULTS: Questionnaires were sent to 331 staff; 66% responded. Community and district nurses estimated a 16% prevalence of mental health problems among their patients, most commonly dementia, depression and anxiety disorders. Staff noted participation in a wide range of psychological care activities, but identified a lack of training for this aspect of their role (three-quarter of nurses had received no such training during the past five years). They reported a willingness to develop their understanding and skills by means of educational programmes. Attitude measures revealed generally optimistic views concerning depression treatment, a rejection of deterministic attitudes about this condition and confidence in the role of district nursing staff in managing such problems. CONCLUSIONS: The need for primary care mental health training is widely noted and based upon consistent evidence of the limited detection and treatment of these problems. This study has employed quantitative methods to clarify the extent and nature of district nursing staff involvement in this area of practice and indicates that training needs are acknowledged by community nurses from geographically distinct settings. RELEVANCE TO CLINICAL PRACTICE: Staff are interested in developing knowledge and skills pertinent to the psychological problems of their patients and their views reveal a consensus that the most important areas for learning are recognition of mental disorders, anxiety management, crisis intervention and pharmacological treatments for depression.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 ».