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Enregistrement W2145234345 · doi:10.1071/ah13133

Factors associated with transfers from healthcare facilities among readmitted older adults with chronic illness

2014· article· en· W2145234345 sur OpenAlexaff
Tasneem Islam, Bev OʼConnell, Mary Hawkins

Notice bibliographique

RevueAustralian Health Review · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueHeart Failure Treatment and Management
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésMedicineOdds ratioHealth careSocioeconomic statusConfidence intervalPublic healthMultivariate analysisLogistic regressionMedical recordUnivariate analysisAcute careResidenceEmergency medicineEnvironmental healthPopulationDemographyInternal medicineNursing

Résumé

récupéré en direct d'OpenAlex

Objective Because chronic illness accounts for a considerable proportion of Australian healthcare expenditure, there is a need to identify factors that may reduce hospital readmissions for patients with chronic illness. The aim of the present study was to examine a range of factors potentially associated with transfer from healthcare facilities among older adults readmitted to hospital within a large public health service in Melbourne, Australia. Methods Data on readmitted patients between June 2006 and June 2011 were extracted from hospital databases and medical records. Adopting a retrospective case-control study design, a sample of 51 patients transferred from private residences was matched by age and gender with 55 patients transferred from healthcare facilities (including nursing homes and acute care facilities). Univariate and multivariate logistic regression analyses were used to compare the two groups, and to determine associations between 46 variables and transfer from a healthcare facility. Results Univariate analysis indicated that patients readmitted from healthcare facilities were significantly more likely to experience relative socioeconomic advantage, disorientation on admission, dementia diagnosis, incontinence and poor skin integrity than those readmitted from a private residence. Three of these variables remained significantly associated with admission from healthcare facilities after multivariate analysis: relative socioeconomic advantage (odds ratio (OR) 11.30; 95% confidence interval (CI) 2.62–48.77), incontinence (OR 7.18; 95% CI 1.19–43.30) and poor skin integrity (OR 18.05; 95% CI 1.85–176.16). Conclusions Older adults with chronic illness readmitted to hospital from healthcare facilities are significantly more likely to differ from those readmitted from private residences in terms of relative socioeconomic advantage, incontinence and skin integrity. The findings direct efforts towards addressing the apparent disparity in management of patients admitted from a facility as opposed to a private residence. What is known about the topic? Older adults with chronic disease require ongoing medical care in both community and healthcare settings. They may frequently require emergency admission to hospital for management of exacerbations of their chronic disease. Previous Australian research has found that transfer from a healthcare facility may be associated with likelihood of readmission among older adults. What does this paper add? This research addresses the shortage of research on the link between transfer from a healthcare facility and likelihood of readmission within Australia. Older adults with chronic illness readmitted to hospital from healthcare facilities were found to be significantly more likely to differ from those readmitted from private residences in terms of relative socioeconomic advantage, incontinence and skin integrity. What are the implications for practitioners? The findings may be used to identify older readmitted patients with chronic diagnoses at greater risk of presenting with poor skin integrity or incontinence, and direct efforts towards addressing the apparent disparity in management of patients admitted from facilities as opposed to private residences. Sound discharge planning and clear channels of communication between healthcare facilities are particularly important for patients transferred between facilities.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,247
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,054
Tête enseignante GPT0,313
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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