Association between the Medication Adherence and Treatment Satisfaction among Patients with Type 2 Diabetes in Guangdong Province, China

DOI

10.2991/smont-19.2019.56How to use a DOI?

Keywords

diabetes mellitus; satisfaction; medication adherence

Abstract

Objective: To analyze the association between medication adherence and treatment satisfaction of the patients with type 2 diabetes at community health service center in China. Methods: 4,560 community T2DM patients were selected by cross-sectional study. We collected the patients’ data including the socio-demographic, medication knowledge, medication adherence and treatment satisfaction of T2DM. Results: Among the 4,560 T2DM patients, less a half of patients had good medication adherence. The satisfaction scores in the Effectiveness(62.3 ± 7.1), Side Effects(81.1 ± 10.5), Convenience(63.7 ± 10.7), and Global Satisfaction domains(70.3 ±6.7) were low. There are positive correlation between adherence and overall treatment satisfaction score. We found that the main impact factors of medication adherence to antidiabetic therapy including educational level, income, duration of DM, pattern of antidiabetic treatment, presence of complication, number of medications, treatment satisfaction using logistic regression analysis. Conclusions: The T2DM patients’ medication adherence and treatment satisfaction at community health service center of China are not good. Low satisfaction is an important factor to disease the community type 2 diabetes patients’ medication adherence.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiheng Zhou
AU  - Zhijie Huang
AU  - Baoxin Chen
AU  - Chanjiao Zheng
AU  - Wenru Chen
PY  - 2019/04
DA  - 2019/04
TI  - Association between the Medication Adherence and Treatment Satisfaction among Patients with Type 2 Diabetes in Guangdong Province, China
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 253
EP  - 257
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.56
DO  - 10.2991/smont-19.2019.56
ID  - Zhou2019/04
ER  -