Psychosocial Factors Associated with Prolonged Length of Stay in Acquired Brain Injury Rehabilitation: A Retrospective Cohort Study
Notice bibliographique
Résumé
Objective: In a climate of rising healthcare costs and increasing pressure to reduce inpatient length of stay, hospitals must balance their role as care providers with that as resource stewards. There is a need to understand what factors are associated with patients staying beyond rehabilitation length of stay targets. The aim of this study was to determine psychosocial patient factors that are identifiable on admission that influence length of stay targets in acquired brain injury rehabilitation.Methods: A retrospective case series of 167 inpatients with acquired brain injury was conducted at an urban, academic rehabilitation hospital. A total of 29 factors were used for data analysis. Logistic and multiple linear regression analysis was utilized to determine if any patient factors were associated with patients exceeding their length of stay targets.Results: Premorbid communal living status (e.g. group home) was associated with an odds ratio of 14.67 of exceeding length of stay target. Patients who did not drive prior to their admission had an odds ratio of 2.63 of exceeding their length of stay target. Conclusion: Premorbid communal living and premorbid non-driving status are predictors of patients with acquired brain injuries exceeding target rehabilitation length of stay. These findings may help acquired brain injury rehabilitation programmes plan for the needs of and advocate for patients. LAY ABSTRACTIn the setting of rising healthcare costs, there is a need to understand which patient factors most affect why patients stay longer than anticipated in hospital. The aim of this study was to determine what non-medical factors affect rehabilitation length of stay in patients after brain injuries. A study of 167 patients with brain injuries was conducted at a rehabilitation hospital to determine if any patient factors were associated with patient hospital length of stay. The results show that patients who lived in communal environments, such as group homes, had 14.67 times the risk of exceeding their length of stay target compared to all other living arrangements. Patients who did not drive prior to their admission had 2.63 times the risk of exceeding their length of stay target compared to drivers. In our study, only patient living environments and driving status were predictors of meeting length of stay targets. These findings may help brain injury rehabilitation programmes plan for the needs of and advocate for their patients.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».