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Published on: June 29, 2019
Identification and characterisation of deprescribing tools for older patients: A scoping review
Marta Mejías-Trueba1, Beatriz Fernández-Rubio1, Aitana Rodríguez-Pérez1
1Pharmacy Clinical Management Unit. Virgen del Rocío University Hospital, Avda Manuel Siurot s/n, Sevilla, Spain.
Background:
Deprescription is the revision of the therapeutic plan with the aim of simplifying it, taking into account patient preferences, prognosis and environment. This strategy is particularly relevant in older patients, mostly polymedicated individuals, since they are exposed to numerous adverse effects and interactions and tend to have less adherence to treatments.
Objective:
To identify the deprescribing tools for older patients available in the scientific literature, classify them according to their design and describe their main features and potential applicability in clinical practice.
Methods:
A search was conducted in PubMed and EMBASE for relevant literature published before July 2021. The PRISMA-ScR method was applied, extracting variables related to study and tool characteristics as well as potential clinical applicability. The main inclusion criteria were studies focused on designing or developing deprescribing tools for older patients and those that indicated the features of the deprescribing tool used in detail.
Results:
Fourteen of 723 papers met the inclusion criteria, and 12 tools were identified: 6 "algorithm-based tools" and 6 "criterion-based tools". Though all tools are aimed at older patients, there are certain peculiarities regarding their design, population, application setting and variables included. Of the 6 criterion-based tools found, 4 used the Delphi method for their design and development. Furthermore, most of them agree on the pharmacological groups that are likely to be deprescribed.
Conclusions:
Taking into account the importance of the clinical situation and priorities in the care plan in the deprescribing process, the authors believe that tools which help to evaluate these aspects are the most suitable for application in clinical practice. However, it is necessary to continue studying applicability in real-life clinical scenarios and to obtain health results.
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