Abstract

Background

Inappropriate use of antibiotics could have a profound negative impact on individual and community. This study aimed to assess the prevalence of inappropriate use behaviors of antibiotics in Chinese antibiotic users and explored their related factors.

Methods

A cross-sectional survey was conducted from July 1, 2018 to September 30, 2018. A structured questionnaire was widely distributed on the online survey platform (Questionnaire Star, https://www.wjx.cn) and was used to collect data from respondents in China on demographic and sociological characteristics, antibiotic use and related knowledge. Main outcomes included self-medication with antibiotics (SMA), self-storage with antibiotics (SSA), and non-adherence to antibiotic treatment (NAAT). Logistic regression was used to identify the related factors of above inappropriate use behaviors of antibiotics.

Results

Of the 15,526 participants, 37.1% reported SMA in the past 6 months, 67.9% reported SSA in the past 6 months, and 48.3%, 15.2%, 25.5% and 78.0% of respondents said that they had missed antibiotics, increased antibiotic dosage, decreased antibiotic dosage, and discontinued antibiotics once symptoms disappear, respectively. Overall, 53.3% reported NAAT during this period. After adjusting for other variables, multivariate logistic regression analyses showed that those aged 30–44 years old, with higher levels of education, poorer status of self-perceived health, or lower levels of antibiotic knowledge were more likely to have these inappropriate use behaviors of SMA, SSA, and NAAT (P < 0.05).

Conclusions

The prevalence of SMA, SSA, and NAAT is high in China. Developing a nationwide action plan for the rational use of antibiotics among publics, including national media publicity, online and offline health education, and medication guidance from general practitioners, is urgently needed.

Details

Title
Prevalence of inappropriate use behaviors of antibiotics and related factors among chinese antibiotic users: an online cross-sectional survey
Author
Yin, Xiaoxv; Gong, Yanhong; Sun, Na; Li, Dandan; Wu, Jianxiong; Wang, Jing; Qiu, Lei; Li, Hui
Pages
1-9
Section
Research
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
14712334
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2703926622
Copyright
© 2022. 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.