Predictors for unplanned hospital admissions in community dwelling adults: A dynamic cohort study.


Journal

Research in social & administrative pharmacy : RSAP
ISSN: 1934-8150
Titre abrégé: Res Social Adm Pharm
Pays: United States
ID NLM: 101231974

Informations de publication

Date de publication:
11 2023
Historique:
received: 06 04 2023
revised: 20 06 2023
accepted: 12 07 2023
medline: 18 9 2023
pubmed: 13 8 2023
entrez: 12 8 2023
Statut: ppublish

Résumé

Polypharmacy and inappropriate medication use are associated with unplanned hospital admissions. Targeted interventions might reduce the hospitalization risk. Yet, it remains unclear which patient profiles derive the largest benefit from such interventions. The aim of this study was to determine independent risk factors, among which polypharmacy, for unplanned hospital admissions in a cohort of community dwelling adults. A retrospective study was performed using a large general practice registry and an insurance database in Flanders, Belgium. Community dwelling adults aged 40 years or older with data for 2013-2015 were included. The index date was the last general practitioner contact in 2014. Determinants were collected during the preceding year. Unplanned hospital admissions were determined during the year after the index date. Univariable logistic regression models were fitted on each risk factor for an unplanned hospital admission as the primary outcome. Two multivariable models were derived. In total, 40411 patients were included and 2126 (5.26%) experienced an unplanned hospital admission. Mean age was 58.3 (±12.3) years. The two models identified the following determinants for an unplanned hospital admission: excessive polypharmacy, older age, male sex, number of comorbidities, atrial fibrillation, chronic obstructive pulmonary disease or stroke, low hemoglobin, use of hypnotics, antipsychotics, antidepressants or antiepileptics and prior hospital and general practitioner visits. Prior hospital visits was the largest determinant. In our study we identified and confirmed the presence of known determinants for unplanned hospital admissions in community dwelling adults, most of which align with a geriatric phenotype. Our findings can inform the allocation of interventions aiming to reduce unplanned hospital admissions.

Sections du résumé

BACKGROUND
Polypharmacy and inappropriate medication use are associated with unplanned hospital admissions. Targeted interventions might reduce the hospitalization risk. Yet, it remains unclear which patient profiles derive the largest benefit from such interventions.
OBJECTIVE
The aim of this study was to determine independent risk factors, among which polypharmacy, for unplanned hospital admissions in a cohort of community dwelling adults.
METHODS
A retrospective study was performed using a large general practice registry and an insurance database in Flanders, Belgium. Community dwelling adults aged 40 years or older with data for 2013-2015 were included. The index date was the last general practitioner contact in 2014. Determinants were collected during the preceding year. Unplanned hospital admissions were determined during the year after the index date. Univariable logistic regression models were fitted on each risk factor for an unplanned hospital admission as the primary outcome. Two multivariable models were derived.
RESULTS
In total, 40411 patients were included and 2126 (5.26%) experienced an unplanned hospital admission. Mean age was 58.3 (±12.3) years. The two models identified the following determinants for an unplanned hospital admission: excessive polypharmacy, older age, male sex, number of comorbidities, atrial fibrillation, chronic obstructive pulmonary disease or stroke, low hemoglobin, use of hypnotics, antipsychotics, antidepressants or antiepileptics and prior hospital and general practitioner visits. Prior hospital visits was the largest determinant.
CONCLUSIONS
In our study we identified and confirmed the presence of known determinants for unplanned hospital admissions in community dwelling adults, most of which align with a geriatric phenotype. Our findings can inform the allocation of interventions aiming to reduce unplanned hospital admissions.

Identifiants

pubmed: 37573152
pii: S1551-7411(23)00322-4
doi: 10.1016/j.sapharm.2023.07.004
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1432-1439

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no competing interests to declare that are relevant to the content of this article.

Auteurs

Julie Hias (J)

Pharmacy Department, University Hospitals Leuven, Leuven, Belgium; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven - University of Leuven, Leuven, Belgium. Electronic address: julie.1.hias@uzleuven.be.

Laura Hellemans (L)

Pharmacy Department, University Hospitals Leuven, Leuven, Belgium; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven - University of Leuven, Leuven, Belgium; Research Foundation Flanders - FWO, Brussels, Belgium.

Shauni Nuyts (S)

Department of Public Health and Primary Care KU Leuven - University of Leuven, Leuven, Belgium; Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), Leuven, Belgium; Academic Centre of General Practice, Leuven, Belgium.

Bert Vaes (B)

Department of Public Health and Primary Care KU Leuven - University of Leuven, Leuven, Belgium; Academic Centre of General Practice, Leuven, Belgium.

Xavier Rygaert (X)

InterMutualistic Agency (IMA), Brussels, Belgium.

Jos Tournoy (J)

Department of Public Health and Primary Care KU Leuven - University of Leuven, Leuven, Belgium; Department of Geriatric Medicine, University Hospitals Leuven, Leuven, Belgium.

Lorenz Van der Linden (L)

Pharmacy Department, University Hospitals Leuven, Leuven, Belgium; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven - University of Leuven, Leuven, Belgium.

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