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中低收入国家劣药和假药的健康、经济和社会影响:方法学方法的系统评价。

Health, Economic, and Social Impacts of Substandard and Falsified Medicines in Low- and Middle-Income Countries: A Systematic Review of Methodological Approaches.

机构信息

Department of Infectious Disease and Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.

Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.

出版信息

Am J Trop Med Hyg. 2023 Jun 20;109(2):228-240. doi: 10.4269/ajtmh.22-0525. Print 2023 Aug 2.

Abstract

Little is known about the adverse health, economic, and social impacts of substandard and falsified medicines (SFMs). This systematic review aimed to identify the methods used in studies to measure the impact of SFMs in low- and middle-income countries (LMICs), summarize their findings, and identify gaps in the reviewed literature. A search of eight databases for published papers, and a manual search of references in the relevant literature were conducted using synonyms of SFMs and LMICs. Studies in the English language that estimated the health, social, or economic impacts of SFMs in LMICs published before June 17, 2022 were considered eligible. Search results generated 1,078 articles, and 11 studies were included after screening and quality assessment. All included studies focused on countries in sub-Saharan Africa. Six studies used the Substandard and Falsified Antimalarials Research Impact model to estimate the impact of SFMs. This model is an important contribution. However, it is technically challenging and data demanding, which poses challenges to its adoption by national academics and policymakers alike. The included studies estimate that substandard and falsified antimalarial medicines can account from 10% to ∼40% of total annual malaria costs, and SFMs affect rural and poor populations disproportionately. Evidence on the impact of SFMs is limited in general and nonexistent regarding social outcomes. Further research needs to focus on practical methods that can serve local authorities without major investments in terms of technical capacity and data collection.

摘要

人们对劣药和假药(SFMs)对健康、经济和社会造成的不良影响知之甚少。本系统评价旨在确定用于衡量中低收入国家(LMICs)中 SFMs 影响的研究方法,总结其研究结果,并确定文献综述中的差距。使用 SFMs 和 LMICs 的同义词在八个数据库中搜索已发表的论文,并在相关文献的参考文献中进行手动搜索。考虑了符合条件的研究:在 2022 年 6 月 17 日之前,以英文发表的估计 LMIC 中 SFMs 的健康、社会或经济影响的研究。搜索结果生成了 1078 篇文章,经过筛选和质量评估后,有 11 项研究被纳入。所有纳入的研究都集中在撒哈拉以南非洲的国家。六项研究使用了“劣药和假药抗疟药研究影响模型”来估计 SFMs 的影响。该模型是一个重要的贡献。然而,它在技术上具有挑战性且数据要求高,这给国家学者和政策制定者采用它都带来了挑战。纳入的研究估计,劣药和假药抗疟药可能占疟疾总年度费用的 10%至 40%,而且 SFMs 对农村和贫困人群的影响不成比例。一般来说,SFMs 影响的证据有限,关于社会结果的证据则不存在。进一步的研究需要关注实用方法,这些方法可以为地方当局服务,而无需在技术能力和数据收集方面进行重大投资。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10397424/3eff3091bba8/ajtmh.22-0525f1.jpg

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