Jialin Li
Prevalence and predictors of polypharmacy prescription among type 2 diabetes patients at a tertiary care department in Ningbo, China: A retrospective database study
Li, Jialin; Chattopadhyay, Kaushik; Xu, Miao; Chen, Yanshu; Hu, Fangfang; Wang, Xingzhen; Li, Li
Authors
KAUSHIK CHATTOPADHYAY KAUSHIK.CHATTOPADHYAY@NOTTINGHAM.AC.UK
Associate Professor
Miao Xu
Yanshu Chen
Fangfang Hu
Xingzhen Wang
LI LI li.li@nottingham.ac.uk
Senior Research Fellow
Contributors
Lars-Peter Kamolz
Editor
Abstract
Objectives
To determine the prevalence of polypharmacy prescription among type 2 diabetes (T2DM) patients at a tertiary care department in Ningbo, China, and to determine factors that independently predict this polypharmacy prescription.
Methods
A retrospective cross-sectional study was conducted using an existing computerised medical records database. This database was screened from 2012 to 2017 for adult patients with T2DM and parameters like prescribed medicines and socio-demographic, behavioural and other medical information. Polypharmacy prescription was defined as the simultaneous prescription of ≥5 medicines by the clinician at the time of discharge for daily usage by the patient as part of his/her long-term treatment plan.
Results
The study inclusion criteria were satisfied by 3370 T2DM patients. Over a 5-year period, 72.2% (n = 2432) of T2DM patients were prescribed polypharmacy. On an average, eight medicines were prescribed to them. The odds of polypharmacy prescription increased with patients’ age (18–39 years: 1; 40–59 years: OR 1.86, 95% CI 1.28–2.71; and ≥60 years: 2.42, 1.65–3.55), duration of T2DM (≤1 year: 1; >5–10 years: 1.70, 1.10–2.62; and >10 years: 2.55, 1.68–3.89), and length of hospital stay (≤5 days: 1; >5–10 days: 2.43, 1.86–3.17; and >10 days: 2.99, 2.24–3.99), and were higher in those with poor blood glucose level (2.09, 1.67–2.62) and with comorbidities like other endocrine, nutritional and metabolic diseases (2.24, 1.76–2.85), circulatory system diseases (4.35, 3.62–5.23), skin and subcutaneous tissue diseases (1.64, 1.04–2.59), and musculoskeletal system and connective tissue diseases (1.61, 1.27–2.03). The odds of polypharmacy prescription were lower in those with comorbidities like neoplasms (0.51, 0.36–0.70) and during pregnancy, childbirth and the puerperium (0.06, 0.01–0.49).
Conclusions
Around three fourth of T2DM patients at the tertiary care department were prescribed polypharmacy, and the predictors were identified. The study findings could be taken into consideration in future interventional studies aimed at supporting medicines optimisation (and deprescribing) among these patients.
Citation
Li, J., Chattopadhyay, K., Xu, M., Chen, Y., Hu, F., Wang, X., & Li, L. (2019). Prevalence and predictors of polypharmacy prescription among type 2 diabetes patients at a tertiary care department in Ningbo, China: A retrospective database study. PLoS ONE, 14(7), Article e0220047. https://doi.org/10.1371/journal.pone.0220047
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 10, 2019 |
Online Publication Date | Jul 17, 2019 |
Publication Date | Jul 17, 2019 |
Deposit Date | Jul 11, 2019 |
Publicly Available Date | Jul 17, 2019 |
Journal | PLOS ONE |
Electronic ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 7 |
Article Number | e0220047 |
DOI | https://doi.org/10.1371/journal.pone.0220047 |
Keywords | General Biochemistry, Genetics and Molecular Biology; General Agricultural and Biological Sciences; General Medicine |
Public URL | https://nottingham-repository.worktribe.com/output/2299398 |
Publisher URL | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220047 |
Contract Date | Jul 11, 2019 |
Files
Prevalence and predictors of polypharmacy prescription among type 2 diabetes patients at a tertiary care department in Ningbo, China: A retrospective database study
(692 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Ayurveda and lifestyle modification: research to practice
(2017)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search