Cost Analysis of a Transition Care Bundle Compared with Usual Care for COPD Patients Being Discharged from Hospital: Evaluation of a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Appropriate management of chronic obstructive pulmonary disease (COPD) patients following acute exacerbations can reduce the risk of future exacerbations, improve health status, and lower care costs. While a transition care bundle (TCB) was associated with lower readmissions to hospitals than usual care (UC), it remains unclear whether the TCB was associated with cost savings. OBJECTIVE: The aim of this study was to evaluate how this TCB was associated with future Emergency Department (ED)/outpatient visits, hospital readmissions, and costs in Alberta, Canada. METHODS: Patients who were aged 35 years or older, who were admitted to hospital for a COPD exacerbation, and had not been treated with a care bundle received either TCB or UC. Those who received the TCB were then randomized to either TCB alone or TCB enhanced with a care coordinator. Data collected were ED/outpatient visits, hospital admissions and associated resources used for index admissions, and 7-, 30- and 90-day post-index discharge. A decision model with a 90-day time horizon was developed to estimate the cost. A generalized linear regression was conducted to adjust for imbalance in patient characteristics and comorbidities, and a sensitivity analysis was conducted on the proportion of patients' combined ED/outpatient visits and inpatient admissions as well as the use of a care coordinator. RESULTS: Differences in length of stay (LOS) and costs between groups were statistically significant, although with some exceptions. Inpatient LOS and costs were 7.1 days (95% confidence interval [CI] 6.9-7.3) and Canadian dollars (CAN$) 13,131 (95% CI CAN$12,969-CAN$13,294) in UC, 6.1 days (95% CI 5.8-6.5) and CAN$7634 (95% CI CAN$7546-CAN$7722) in TCB with a coordinator, and 5.9 days (95% CI 5.6-6.2) and CAN$8080 (95% CI CAN$7975-CAN$8184) in TCB without a coordinator. Decision modelling indicated TCB was less costly than UC, with a mean (standard deviation [SD]) of CAN$10,172 (40) versus CAN$15,588 (85), and TCB with a coordinator was slightly less costly than without a coordinator (CAN$10,109 [49] versus CAN$10,244 [57]). CONCLUSION: This study suggests that the use of the TCB, with or without a care coordinator, appears to be an economically attractive intervention compared with UC.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| 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) | 0,001 | 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 ».