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中老年糖尿病患者用药依从性影响因素的Meta分析 被引量:1

Influencing factors for medication adherence among the middle-aged and elderly diabetic patients:a Meta-analysis
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摘要 目的系统评价中老年糖尿病患者用药依从性的影响因素。方法检索PubMed、Embase、Cochrane Library、Web of Science、中国知网、CINAHL、万方、维普、中国生物医学文献数据库中与中老年糖尿病患者用药依从性影响因素相关的观察性研究。检索时限为建库至2023年12月。由2名研究者进行文献筛选、质量评价及资料提取后,采用Stata 17.0软件进行Meta分析。结果共纳入14篇文献,总样本量为4920例,其中用药依从性良好的患者3023例,Meta分析结果显示,性别、婚姻状态、受教育程度、收入、服药信念、血糖监测次数、并发症认知、用药数量是中老年糖尿病患者用药依从性的影响因素。结论中老年糖尿病患者的用药依从性受多种因素影响,医护人员应针对相关因素实施个性化干预措施,以提高患者的用药依从性。 Objective To conduct a Meta-analysis of the influencing factors of medication adherence among the middle-aged and elderly diabetic patients.Methods Observational studies related to factors influencing medication adherence among the middle-aged and elderly diabetic patients were searched in databases including the PubMed,Embase,Cochrane Library,Web of Science,China National Knowledge Internet,CINAHL,Wanfang Data,VIP and CBM.The time period was set from inception until December 2023.Then the literature screening,quality assessment and data extraction were conducted and cross-checked by 2 independent researchers.Moreover,the Meta-analysis was performed using the Stata 17.0 software.Results A total of 14 articles were selected,covering a total sample size of 4920,with 3023 patients of good medication adherence.Gender,marital status,education,income,belief in taking medication,times of glucose monitoring,perceptions of complications and number of medications were the influencing factors of medication adherence among middle-aged and elderly diabetic patients.Conclusion The medication adherence of the middle-aged and elderly diabetic patients is affected by a variety of factors,and medical staff should take targeted actions to promote their medication adherence.
作者 王丹 康华 WANG Dan;KANG Hua(Chengdu University of Chinese Medicine,School of Nursing,Chengdu 610075,China)
出处 《中国临床护理》 2024年第3期143-148,共6页 Chinese Clinical Nursing
关键词 糖尿病 用药依从性 中老年 影响因素 Diabetes mellitus Medication adherence Middle-aged and elderly Influencing factor
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