Identifying older inpatients at high risk of unintentional medication discrepancies: a classification tree analysis.

Drug management Medication reconciliation Older adults Pharmacological care Unintentional medication discrepancy

Journal

Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995

Informations de publication

Date de publication:
09 Nov 2023
Historique:
received: 03 07 2023
accepted: 16 10 2023
medline: 9 11 2023
pubmed: 9 11 2023
entrez: 9 11 2023
Statut: aheadofprint

Résumé

Unintentional medication discrepancies at admission are differences between the best possible medication history and the prescribed treatment at admission, and are associated with adverse outcomes, particularly in older people. This study aimed to identify the clinical profiles of geriatric inpatients with unintentional medication discrepancies at hospital admission. A classification tree Chi-square Automatic Interaction Detector (CHAID) analysis was conducted to assess those patients' profiles and characteristics that were associated with a higher risk of unintentional medication discrepancies. One-hundred and thirty consecutive older patients admitted to acute care (87 ± 5 years old; 61.8% women) were assessed. The CHAID analysis retrieved 5 clinical profiles of older inpatients with a risk of up to 94.4% for unintentional medication discrepancies. These profiles were determined based on combinations of three characteristics: use of eye drops, frequent falls (≥ 1/year), and admission due to urgent hospitalization. These easily measurable clinical characteristics may be helpful as a supportive measure to improve pharmacological care.

Identifiants

pubmed: 37943406
doi: 10.1007/s40520-023-02598-2
pii: 10.1007/s40520-023-02598-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Mathieu Corvaisier (M)

Department of Geriatric Medicine, Research Center on Autonomy and Longevity, Angers University Hospital, Angers, France.
Department of Pharmacy, Angers University Hospital, Angers, France.
Health Faculty, University of Angers, Angers, France.

Dolores Sanchez-Rodriguez (D)

Geriatrics Department, Brugmann University Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, University of Liège, Liège, Belgium.
Rehabilitation Research Group, Geriatrics Department, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.

Kevin Sautret (K)

Department of Geriatric Medicine, Research Center on Autonomy and Longevity, Angers University Hospital, Angers, France.

Jérémie Riou (J)

Delegation to Clinical Research and Innovation, Angers University Hospital, Angers, France.

Laurence Spiesser-Robelet (L)

Department of Pharmacy, Angers University Hospital, Angers, France.

Cédric Annweiler (C)

Department of Geriatric Medicine, Research Center on Autonomy and Longevity, Angers University Hospital, Angers, France. Cedric.Annweiler@chu-angers.fr.
Health Faculty, University of Angers, Angers, France. Cedric.Annweiler@chu-angers.fr.
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, The University of Western Ontario, London, ON, Canada. Cedric.Annweiler@chu-angers.fr.

Classifications MeSH