Abstract

Background

Research on potentially inappropriate medications (PIM) and medication-related problems (MRP) among the Chinese population with chronic diseases and polypharmacy is insufficient.

Objectives

This study aimed to investigate the prevalence of PIM and MRP among older Chinese hospitalized patients with chronic diseases and polypharmacy and analyze the associated factors.

Methods

A retrospective cross-sectional study was conducted in five tertiary hospitals in Beijing. Patients aged ≥ 65 years with at least one chronic disease and taking at least five or more medications were included. Data were extracted from the hospitals’ electronic medical record systems. PIM was evaluated according to the 2015 Beers criteria and the 2014 Screening Tool of Older Persons’ Prescriptions (STOPP) criteria. MRPs were assessed and classified according to the Helper-Strand classification system. The prevalence of PIM and MRP and related factors were analyzed.

Results

A total of 852 cases were included. The prevalence of PIM was 85.3% and 59.7% based on the Beers criteria and the STOPP criteria. A total of 456 MRPs occurred in 247 patients. The most prevalent MRP categories were dosages that were too low and unnecessary medication therapies. Hyperpolypharmacy (taking ≥ 10 drugs) (odds ratio OR 3.736, 95% confidence interval CI 1.541–9.058, P = 0.004) and suffering from coronary heart disease (OR 2.620, 95%CI 1.090–6.297, P = 0.031) were the influencing factors of inappropriate prescribing (the presence of either PIM or MRP in a patient).

Conclusion

PIM and MRP were prevalent in older patients with chronic disease and polypharmacy in Chinese hospitals. More interventions are urgently needed to reduce PIM use and improve the quality of drug therapies.

Details

Title
A combination of Beers and STOPP criteria better detects potentially inappropriate medications use among older hospitalized patients with chronic diseases and polypharmacy: a multicenter cross-sectional study
Author
Tang, Jing; Wang, Ke; Yang, Kun; Jiang, Dechun; Fang, Xianghua; Su, Su; Yang, Lin; Chen, Shicai; Gu, Hongyan; Li, Pengmei; Yan, Suying
Pages
1-10
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712318
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2777768437
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.