Indicators of home-based hospitalization model and strategies for its implementation: a systematic review of reviews
Notice bibliographique
Résumé
BACKGROUND: Home-based hospitalization (HBH) offers an alternative delivery model to hospital care. There has been a remarkable increase in pilot initiatives and deployment of this model to optimize services offered to a population with a variety of progressive and chronic diseases. Our objectives were to systematically summarize the indicators of HBH as well as the factors associated with the successful implementation and use of this model. METHODS: We used a two-stage process. First, five databases were consulted, with no date delimitation. We included systematic reviews of quantitative, qualitative, and mixed studies published in English, French, Spanish, or Portuguese. We followed guidance from PRISMA and the Cochrane Collaboration. Second, we used the Nursing Care Performance Framework to categorize the indicators, a comprehensive grid of barriers and facilitators to map the factors affecting HBH implementation, and a thematic synthesis of the qualitative and quantitative findings. RESULTS: Fifteen reviews were selected. We identified 26 indicators related to nursing care that are impacted by the use of HBH models and 13 factors related to their implementation. The most frequently documented indicators of HBH were cost of resources, problem and symptom management, comfort and quality of life, cognitive and psychosocial functional capacity, patient and caregiver satisfaction, hospital mortality, readmissions, and length of stay. Our review also highlighted new indicators, namely use of hospital beds, new emergency consultations, and use of healthcare services as indicators of resources of cost, and bowel complications, caregiver satisfaction, and survival time as indicators of change in the patient's condition. The main facilitators for HBH implementation were related to internal organizational factors (multidisciplinary collaboration and skill mix of professionals) whereas barriers were linked to the characteristics of the HBH, specifically eligibility criteria (complexity and social situation of the patient). CONCLUSION: To the best of our knowledge, this is the first review that synthesizes both the types of indicators associated with HBH and the factors that influence its implementation. Considering both the processes and outcomes of HBH will help to identify strategies that could facilitate the implementation and evaluation of this innovative model of care delivery. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018103380.
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 | 0,006 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,024 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».