Relationship Between Medication Literacy and Beliefs Among Persons with Type 2 Diabetes Mellitus in Guangdong, China

医学 健康素养 读写能力 2型糖尿病 中国 药物依从性 相关性 糖尿病 正相关 内科学 家庭医学 心理学 医疗保健 内分泌学 经济 法学 经济增长 数学 教育学 政治学 几何学
作者
S. S. Jiang,Zhuoqi Zhu,Guisheng Liao,Yanling Huang,Lichang Li,Kun Zeng
出处
期刊:Patient Preference and Adherence [Dove Medical Press]
卷期号:Volume 17: 2039-2050 被引量:5
标识
DOI:10.2147/ppa.s420383
摘要

To establish the relationship between medication literacy and medication beliefs among persons with type 2 diabetes mellitus (T2DM).A cross-sectional survey of 246 patients with T2DM was conducted between April and November 2022 at a tertiary hospital in Dongguan City, Guangdong Province, China. Subsequently, these patients were administered the General Information Questionnaire, the Chinese version of Medication Literacy Assessment Scale, and the Chinese version of Beliefs about Medicines Questionnaire-Specific via survey.The medication literacy score of patients with T2DM was 7.82±3.007, and the medication beliefs score was 2.26±4.011. The Pearson correlation analysis revealed a statistically significant but weakly positive correlation (r = 0.271, P < 0.001) between medication literacy and beliefs among patients diagnosed with T2DM. However, there was no significant correlation found between medication literacy and necessity (r = -0.021, P > 0.05), while a lowly negative correlation was observed between medication literacy and concerns (r = -0.307, P < 0.001). Moreover, the multiple linear regression analysis indicated that medication literacy, age, education level, and duration of medication usage were all significant factors influencing patients' medication beliefs (all P < 0.05). Together, these variables accounted for 15.3% of the total variance observed in the regression equation.The study found a positive correlation between medication literacy and beliefs, and a negative correlation between medication literacy and concerns. These results indicate that enhancing medication literacy can improve medication adherence among individuals with T2DM by reducing concerns and strengthening medication beliefs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
蒋灵馨完成签到 ,获得积分10
2秒前
israr完成签到,获得积分10
2秒前
iu发布了新的文献求助10
2秒前
2秒前
hjyylab应助研友_851KE8采纳,获得10
2秒前
羊驼驼完成签到,获得积分10
3秒前
3秒前
科研通AI5应助可青采纳,获得10
3秒前
4秒前
Orange应助yummy采纳,获得10
5秒前
ONION完成签到,获得积分10
5秒前
zhao完成签到 ,获得积分10
5秒前
在水一方应助小Y采纳,获得10
5秒前
NexusExplorer应助科研通管家采纳,获得10
5秒前
6秒前
JamesPei应助科研通管家采纳,获得10
6秒前
科研通AI5应助科研通管家采纳,获得10
6秒前
6秒前
科研通AI5应助科研通管家采纳,获得30
6秒前
Cherish应助JAY23采纳,获得10
6秒前
lxlcx应助企鹅乌云采纳,获得30
6秒前
hh完成签到 ,获得积分20
6秒前
24完成签到,获得积分20
6秒前
思源应助科研通管家采纳,获得10
7秒前
孙燕应助科研通管家采纳,获得10
7秒前
刘洋发布了新的文献求助30
7秒前
领导范儿应助科研通管家采纳,获得10
7秒前
脑洞疼应助11采纳,获得10
7秒前
cxlcxl完成签到,获得积分20
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
一帆风顺发布了新的文献求助10
7秒前
丘比特应助11采纳,获得10
7秒前
英俊的铭应助科研通管家采纳,获得10
7秒前
星辰大海应助遇见采纳,获得10
7秒前
彭于晏应助科研通管家采纳,获得10
7秒前
852应助科研通管家采纳,获得10
8秒前
mjn发布了新的文献求助10
8秒前
情怀应助科研通管家采纳,获得10
8秒前
慕青应助科研通管家采纳,获得10
8秒前
英姑应助科研通管家采纳,获得10
8秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Experimental Design for the Life Sciences 200
Semiconductor Wafer Bonding: Science Technology, and Applications VI 200
Parallel Optimization 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835852
求助须知:如何正确求助?哪些是违规求助? 3378260
关于积分的说明 10503027
捐赠科研通 3097775
什么是DOI,文献DOI怎么找? 1706063
邀请新用户注册赠送积分活动 820776
科研通“疑难数据库(出版商)”最低求助积分说明 772292