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作 者:胡黎姿 王丹 熊浪宇 寇姣姣 王书瑶 王庆源 杨子江 康华[1] HU Lizi;WANG Dan;XIONG Langyu;KOU Jiaojiao;WANG Shuyao;WANG Qingyuan;YANG Zijiang;KANG Hua(College of Nursing,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,Sichuan,China)
机构地区:[1]成都中医药大学护理学院,四川成都611137
出 处:《中国现代医生》2024年第18期62-68,共7页China Modern Doctor
摘 要:目的通过Meta分析总结2型糖尿病患者的用药依从性现状,明确用药依从性低的人群特点。方法在Pubmed、Cochrane Library、Web of Science、Embase、CINAHL、CBM、中国知网、万方数据知识服务平台、维普网检索相关文献,2名研究者依据纳入及排除标准分别进行文献筛选、数据提取和质量评价。采用Stata 16.0软件进行亚组分析、敏感性分析、偏移分析等。结果共纳入42篇文献,中老年2型糖尿病患者的整体用药依从率18.37%~96.53%。教育程度高(63%)、已婚(61%)、非独居(50%)、月收入>3000元/月(64%)、有医保(49%)、心理状态良好(61%)、无慢性共病(66%)、有疾病相关知识(53%)、服药种类≤3种(58%)、就医便捷(58%)、医患关系良好(50%)的人群用药依从性更高。结论2型糖尿病患者的用药依从性在不同亚组人群中差异较大,未来应进一步探索其具体影响因素,以制定针对性政策和干预措施改善患者的用药依从性,提高其健康水平和生活质量。Objective Meta-analysis was used to summarize the current status of medication adherence in patients with type 2 diabetes mellitus and to clarify the characteristics of people with low medication adherence.Methods Relevant literatures were searched in Pubmed,Cochrane Library,Web of Science,Embase,CINAHL,CBM,China National Knowledge Infrastructure,Wanfang Data,and VIP.Two researchers conducted literature screening,data extraction and quality evaluation.Stata 16.0 software was used for subgroup analysis,sensitivity analysis,offset analysis.Results A total of 42 papers were included,and the overall medication adherence of middle-aged and elderly type 2 diabetes patients ranged from 18.37%-96.53%.The medication adherence was higher among those with high education level(63%),married(61%),not living alone(50%),monthly income>3000 RMB/month(64%),having medical insurance(49%),good psychological status(61%),no chronic co-morbidities(66%),having knowledge about the disease(53%),taking≤3 types of medication(58%),convenient access to medical care(58%),and good doctor-patient relationship(50%).Conclusion The medication adherence of patients with type 2 diabetes mellitus varies greatly among different subgroups.In the future,the specific influencing factors should be further explored to formulate targeted policies and intervention measures to improve patients’medication adherence and improve their health and quality of life.
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