Suppr超能文献

政府干预减少人类抗生素使用的政策:系统评价和荟萃分析的方案。

Government policy interventions to reduce human antimicrobial use: protocol for a systematic review and meta-analysis.

机构信息

School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Global Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, York University, Ottawa, ON, Canada.

出版信息

Syst Rev. 2017 Dec 13;6(1):256. doi: 10.1186/s13643-017-0640-2.

Abstract

BACKGROUND

Antimicrobial resistance (AMR) is a recognized threat to global public health. Increasing AMR and a dry pipeline of novel antimicrobial drugs have put AMR in the international spotlight. One strategy to combat AMR is to reduce antimicrobial drug consumption. Governments around the world have been experimenting with different policy interventions, such as regulating where antimicrobials can be sold, restricting the use of last-resort antimicrobials, funding AMR stewardship programs, and launching public awareness campaigns. To inform future action, governments should have access to synthesized data on the effectiveness of large-scale AMR interventions. This planned systematic review will (1) identify and describe previously evaluated government policy interventions to reduce human antimicrobial use and (2) estimate the effectiveness of these different strategies.

METHODS

An electronic search strategy has been developed in consultation with two research librarians. Seven databases (MEDLINE, CINAHL, EMBASE, CENTRAL, PAIS Index, Web of Science, and PubMed excluding MEDLINE) will be searched, and additional studies will be identified using several gray literature search strategies. To be included, a study must (1) clearly describe the government policy and (2) use a rigorous design to quantitatively measure the impact of the policy on human antibiotic use. The intervention of interest is any policy intervention enacted by a government or government agency in any country to change human antimicrobial use. Two independent reviewers will screen for eligibility using criteria defined a priori. Data will be extracted with Covidence software using a customized extraction form. If sufficient data exists, a meta-analysis by intervention type will be conducted as part of the effectiveness review. However, if there are too few studies or if the interventions are too heterogeneous, data will be tabulated and a narrative synthesis strategy will be used.

DISCUSSION

This evidence synthesis is intended for use by policymakers, public health practitioners, and researchers to inform future government policies aiming to address antimicrobial resistance. This review will also identify gaps in the evidence about the effectiveness of different policy interventions to inform future research priorities.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42017067514 .

摘要

背景

抗菌药物耐药性(AMR)是对全球公共卫生的公认威胁。AMR 的不断增加和新型抗菌药物研发的枯竭,使 AMR 成为国际关注的焦点。应对 AMR 的策略之一是减少抗菌药物的使用。世界各国政府一直在尝试不同的政策干预措施,例如规范抗菌药物的销售地点、限制最后手段抗菌药物的使用、为 AMR 管理计划提供资金以及开展公众意识宣传活动。为了为未来的行动提供信息,政府应该能够获得关于大规模 AMR 干预措施有效性的综合数据。这项计划中的系统评价将:(1)确定并描述以前评估过的减少人类抗菌药物使用的政府政策干预措施;(2)估计这些不同策略的有效性。

方法

已与两名研究图书馆员协商制定了电子搜索策略。将检索七个数据库(MEDLINE、CINAHL、EMBASE、CENTRAL、PAIS Index、Web of Science 和 PubMed 不包括 MEDLINE),并使用几种灰色文献搜索策略来确定其他研究。要纳入的研究必须:(1)清楚地描述政府政策;(2)使用严格的设计来定量衡量政策对人类抗生素使用的影响。干预措施是指政府或政府机构在任何国家为改变人类抗菌药物使用而采取的任何政策干预措施。两名独立的审查员将根据事先定义的标准进行资格筛选。使用 Covidence 软件和定制的提取表提取数据。如果存在足够的数据,将按干预类型进行荟萃分析,作为有效性审查的一部分。但是,如果研究数量太少或干预措施差异太大,则将对数据进行制表,并使用叙述性综合策略。

讨论

本证据综合旨在为政策制定者、公共卫生从业人员和研究人员提供信息,以制定未来旨在解决抗菌药物耐药性的政府政策。本综述还将确定不同政策干预措施有效性方面的证据差距,为未来的研究重点提供信息。

系统评价注册

PROSPERO CRD42017067514 。

相似文献

8
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

引用本文的文献

本文引用的文献

1
Advancing the Right to Health-The Vital Role of Law.推进健康权——法律的关键作用。
Am J Public Health. 2017 Nov;107(11):1755-1756. doi: 10.2105/AJPH.2017.304077.
7
Strategies for achieving global collective action on antimicrobial resistance.实现全球抗菌药物耐药性集体行动的策略。
Bull World Health Organ. 2015 Dec 1;93(12):867-76. doi: 10.2471/BLT.15.153171. Epub 2015 Oct 13.
8
Understanding the mechanisms and drivers of antimicrobial resistance.理解抗菌药物耐药性的机制和驱动因素。
Lancet. 2016 Jan 9;387(10014):176-87. doi: 10.1016/S0140-6736(15)00473-0. Epub 2015 Nov 18.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验