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Research Progress on Application of Patient Decision Aid in the Medication of Elderly Patients with Type 2 Diabetes

Authors :
DAI Xianggui, LI Zhen, LI Xuan, ZHANG Siqi, LIU Dongling, QIN Yuelan
Source :
Zhongguo quanke yixue, Vol 27, Iss 24, Pp 3061-3066 (2024)
Publication Year :
2024
Publisher :
Chinese General Practice Publishing House Co., Ltd, 2024.

Abstract

Elderly patients with type 2 diabetes mellitus often face the problems of multimorbidity and multiple medications, and these conditions often lead to irrational or inappropriate medication use, significantly affecting patient outcomes and quality of life, making early and effective medication decisions particularly important. As an important supplement to medication support information, decision support tools, including electronic health record-based systems, mobile applications, online health platforms, etc., provide personalized, evidence-based medical information to help patients understand medication regimens, assist patients and healthcare professionals in making more rational medication decisions, enhance the appropriateness and safety of medication, and reduce the risk of drug interactions, thereby improving the overall treatment of patients and reducing the risk of drug interactions. The application of medication management in elderly patients with type 2 diabetes mellitus has made significant progress, thus improving the overall outcome and quality of life of patients. This article summarizes the current situation of medication use in elderly patients with type 2 diabetes mellitus, the influencing factors, types, application methods and their roles of decision aids, aiming to provide reference for the development of medication decision aids for this population in China.

Details

Language :
Chinese
ISSN :
10079572
Volume :
27
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Zhongguo quanke yixue
Publication Type :
Academic Journal
Accession number :
edsdoj.80dd4e0046b24379bb00eebc8d9be846
Document Type :
article
Full Text :
https://doi.org/10.12114/j.issn.1007-9572.2023.0861