General practitioner care of residential aged care facility residents at end of life: a systematic literature review and narrative synthesis
Notice bibliographique
Résumé
OBJECTIVES: In 2023, 21% of deaths occurred in residential aged care facilities (RACFs), a setting expected to play an increasing role in palliative and end-of-life care (PEoLC). General practitioners (GPs) oversee and deliver PEoLC in residential and nursing homes, yet little is known about their practice. We conducted a systematic review of the published evidence concerning how GPs provide this care: what they do and the quality, challenges and facilitators of that care. DESIGN: Systematic review and narrative synthesis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. DATA SOURCES: Medline, Embase, CINAHL, PsycINFO, Web of Science, Scopus and NHS Evidence and grey literature via Google Scholar were searched through 9 October 2024. ELIGIBILITY CRITERIA: We included studies presenting new empirical data from qualitative, quantitative or mixed methods, were published in the English language and conducted in the UK, the European Union, Australia, New Zealand and Canada. We excluded studies with no new empirical data, discussion papers, conference abstracts, opinion pieces, study participants under 18 years old and in care settings other than RACF. DATA EXTRACTION AND SYNTHESIS: One independent reviewer used standardised methods to search and screen study titles for inclusion. This reviewer assessed all abstracts of the included papers, and a second independent reviewer screened 60% of the abstracts to validate inclusion. Risk of bias was assessed using Gough's Weight of Evidence assessment. Thematic analysis was used to describe the contents of the included papers; a narrative synthesis approach was taken to report the findings at a more conceptual level. RESULTS: The search identified 5936 titles: 35 papers were eligible and included in the synthesis. This is a nascent evidence base, lacking robust research designs and characterised by small sample sizes; the results describe the factors observed to be important in the delivery of care. Care provision is extremely variable; no models of optimal care have been put forward or tested. Challenges to care provision occur at every level of the care system. At macro level, service-level agreements and policies vary: at meso level, team-working, communication technology solutions and equipment availability vary: at micro level, GPs' interests in providing PEoLC vary as does their training. No study addresses residents' and relatives' experiences and expectations of GPs' involvement in PEoLC in RACFs. CONCLUSIONS: The limited evidence base highlights that GP care at end of life for RACF residents varies greatly, with enablers and challenges at all levels in the existing care systems. Little research has examined GP PEoLC for RACF residents in its own right; insight is derived from studies that report on this issue as an adjunct to the main focus. With national policies focused on moving more PEoLC into community settings, these knowledge deficits require urgent attention.
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 | 0,057 | 0,169 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,012 | 0,010 |
| Bibliométrie | 0,025 | 0,018 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 ».