Decision-support systems for managing polypharmacy in the elderly: A scoping review.

Clinical decision-support system Deprescription Drug-related problem Elderly Polypharmacy Potentially inappropriate medication

Journal

Journal of biomedical informatics
ISSN: 1532-0480
Titre abrégé: J Biomed Inform
Pays: United States
ID NLM: 100970413

Informations de publication

Date de publication:
06 2022
Historique:
received: 10 09 2021
revised: 07 04 2022
accepted: 08 04 2022
pubmed: 27 4 2022
medline: 9 6 2022
entrez: 26 4 2022
Statut: ppublish

Résumé

Polypharmacy, the consuming of more than five drugs, is a public health problem. It can lead to many interactions and adverse drug reactions and is very expensive. Therapeutic guidelines for managing polypharmacy in the elderly have been issued, but are highly complex, limiting their use. Decision-support systems have therefore been developed to automate the execution of these guidelines, or to provide information about drugs adapted to the context of polypharmacy. These systems differ widely in terms of their technical design, knowledge sources and evaluation methods. We present here a scoping review of electronic systems for supporting the management, by healthcare providers, of polypharmacy in elderly patients. Most existing reviews have focused mainly on evaluation results, whereas the present review also describes the technical design of these systems and the methodologies for developing and evaluating them. A systematic bibliographic search identified 19 systems differing considerably in terms of their technical design (rule-based systems, documentary approach, mixed); outputs (textual report, alerts and/or visual approaches); and evaluations (impact on clinical practices, impact on patient outcomes, efficiency and/or user satisfaction). The evaluations performed are minimal (among all the systems identified, only one system has been evaluated according to all the criteria mentioned above) and no machine learning systems and/or conflict management systems were retrieved. This review highlights the need to develop new methodologies, combining various approaches for decision support system in polypharmacy.

Identifiants

pubmed: 35470079
pii: S1532-0464(22)00090-9
doi: 10.1016/j.jbi.2022.104074
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

104074

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Abdelmalek Mouazer (A)

Université Sorbonne Paris Nord, LIMICS, Sorbonne Université, INSERM, F-93000 Bobigny, France. Electronic address: malikmouazer@gmail.com.

Rosy Tsopra (R)

INSERM, Université de Paris, Sorbonne Université, Centre de Recherche des Cordeliers, F-75006 Paris, France; INRIA, HeKA, INRIA Paris, France; Department of Medical Informatics, Hôpital Européen Georges-Pompidou, AP-HP, Paris, France.

Karima Sedki (K)

Université Sorbonne Paris Nord, LIMICS, Sorbonne Université, INSERM, F-93000 Bobigny, France.

Catherine Letord (C)

Université Sorbonne Paris Nord, LIMICS, Sorbonne Université, INSERM, F-93000 Bobigny, France; Department of Biomedical Informatics, Rouen University Hospital, Normandy, France.

Jean-Baptiste Lamy (JB)

Université Sorbonne Paris Nord, LIMICS, Sorbonne Université, INSERM, F-93000 Bobigny, France.

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