Evaluations of postoperative transitions in care for older adults: a scoping review
Notice bibliographique
Résumé
BACKGROUND: Most people having major surgery are over the age of 65. The transition out of hospital is a vulnerable time for older adults, particularly after major surgery. Research on postoperative transitions in care is growing, but it is not clear how postoperative transitions are being evaluated. The objective of this scoping review was to synthesize processes and outcomes used to evaluate postoperative transitions in care for older adults. METHODS: We conducted a scoping review that included articles evaluating a postoperative transition in care among adults aged > 65 having major elective surgery. We searched Medline (Ovid), EMBASE (Ovid), CINHAL, and Cochrane Central Register of Controlled Trials (CENTRAL) from their respective inception dates to April 6, 2021. We also searched The World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov from their respective inception dates to April 6, 2021. Screening and data extraction was completed by reviewers in duplicate. Data relevant to study design and objective, intervention description, and process or outcome evaluations were extracted. Process evaluations were categorized using the Ideal Transitions in Care Framework, and outcome evaluations were categorized using the Institute for Healthcare Improvement Triple Aim Framework. RESULTS: After screening titles and abstracts and full-text article review, we included 20 articles in our final synthesis. There was variability in the processes and outcomes used to evaluate postoperative transitions in care. The most common outcomes evaluated were health service utilization (n = 9), including readmission and Emergency Department visits, experiential outcomes (n = 9) and quality of life (n = 7). Process evaluations included evaluating the education provided to patients to promote self-management (n = 6), coordination of care among team members (n = 3) and outpatient follow-up (n = 3). Only two articles measured frailty, one article used theory to guide their evaluations and no articles engaged knowledge users. CONCLUSIONS: There is inconsistency in how postoperative transitions in care were evaluated. There is a need to use theories and to engage key stakeholders involved in postoperative transitions in care, including older adults and their caregivers, to identify the most appropriate approaches for developing and evaluating interventions to meaningfully improve 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 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| 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) | 0,001 | 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 ».