Muhammad Nazar, Ullah Salecah R, Nagi Talwinder K, Yousaf Rao Ahmed
Psychiatry, Cornerstone Family Healthcare, New York, USA.
Internal Medicine, Khawaja Muhammad Safdar Medical College, Sialkot, PAK.
Cureus. 2023 Apr 19;15(4):e37828. doi: 10.7759/cureus.37828. eCollection 2023 Apr.
The present meta-analysis has been conducted to review currently available literature to examine the factors associated with adherence to anti-depressant medications in adults. This meta-analysis and systematic review followed the MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidelines. According to this analysis, the three most important electronic resources for research were CINAHL, EMBASE, and Medline. Google Scholar was used to supplementing the articles already available for review. Keywords used to find relevant articles included "predictors," "non-adherence," "anti-depressants," and "adults." Medical subject headings (MeSH) terms and Boolean operators ("AND" and "OR") were used in the search strategy to refine the search further. Studies included in this meta-analysis had information on factors associated with non-adherence to anti-depressant medication. The study evaluated samples of adult participants over 18 years with a diagnosis of depression and who had been prescribed anti-depressants. In conclusion, this meta-analysis examined the relationship between demographic factors and non-adherence to anti-depressant medications. The findings revealed that gender, educational status, income level, marital status, and area of residence did not significantly predict non-adherence to anti-depressants. However, older age and polypharmacy were significant predictors of adherence to anti-depressants. The study also found that individuals living in urban areas were more likely to adhere to anti-depressants, but the difference was not statistically significant.
本荟萃分析旨在回顾当前可得的文献,以研究与成年人抗抑郁药物依从性相关的因素。本荟萃分析和系统评价遵循了MOOSE(流行病学观察性研究的荟萃分析)指南。根据该分析,三个最重要的研究电子资源是CINAHL、EMBASE和Medline。谷歌学术被用于补充已有的可供审查的文章。用于查找相关文章的关键词包括“预测因素”“不依从”“抗抑郁药”和“成年人”。搜索策略中使用了医学主题词(MeSH)术语和布尔运算符(“AND”和“OR”)以进一步优化搜索。纳入本荟萃分析的研究包含了与抗抑郁药物不依从相关因素的信息。该研究评估了18岁以上被诊断为抑郁症且已被开具抗抑郁药的成年参与者样本。总之,本荟萃分析研究了人口统计学因素与抗抑郁药物不依从之间的关系。研究结果显示,性别、教育程度、收入水平、婚姻状况和居住地区并不能显著预测抗抑郁药物的不依从情况。然而,年龄较大和联合用药是抗抑郁药物依从性的显著预测因素。该研究还发现,居住在城市地区的个体更有可能坚持服用抗抑郁药,但差异无统计学意义。