Spillover effects on health outcomes in low- and middle-income countries: a systematic review.
Spillover effects on health outcomes in low- and middle-income countries: a systematic review.
复制标题
DOI：
10.1093/ije/dyx039
复制
发表时间：
2017-08-01
影响因子：
7.7
通讯作者：
Colford JM Jr
中科院分区：
文献类型：
--
作者：
Benjamin-Chung J;Abedin J;Berger D;Clark A;Jimenez V;Konagaya E;Tran D;Arnold BF;Hubbard AE;Luby SP;Miguel E;Colford JM Jr
为改善健康而采取的许多干预措施不仅可能使直接受益者受益，而且也可能使身体或社会关系密切的人受益。我们的目标是审查所有已发表的文献中的卫生成果的干预措施的溢出效应，在中低收入国家，并确定用于估计这些影响的方法。我们检索了19个电子数据库中2014年之前发表的文章，并在5种相关期刊中手工检索了2010年至2013年的标题。我们采用了科克伦合作组织的质量分级工具进行溢出估计，并对证据质量进行了评级。共有54项研究符合纳入标准。我们发现，用于描述溢出效应的术语范围很广，溢出效应方法缺乏标准化，许多研究对溢出效应的报告也很差。我们确定了溢出效应的三个主要机制：减少疾病传播、社会邻近性和家庭内资源的替代。我们发现了通过减少疾病传播，特别是疫苗和大规模药物管理产生溢出效应的最有力证据。总的来说，接受干预的人口比例与健康状况的改善有关。大多数研究质量中等或较低。我们发现某些溢出估计存在发表偏倚的证据，但总效应或直接效应没有。为了促进改进报告和标准化，在未来的研究中，我们开发了一个报告清单改编自CONSORT框架具体报告溢出效应。我们发现了疫苗和大规模药物管理对控制传染病产生溢出效应的最有力证据。几乎没有高质量的证据表明其他干预措施会产生溢出效应。
Many interventions delivered to improve health may benefit not only direct recipients but also people in close physical or social proximity. Our objective was to review all published literature about the spillover effects of interventions on health outcomes in low-middle income countries and to identify methods used in estimating these effects. We searched 19 electronic databases for articles published before 2014 and hand-searched titles from 2010 to 2013 in five relevant journals. We adapted the Cochrane Collaboration’s quality grading tool for spillover estimation and rated the quality of evidence. A total of 54 studies met inclusion criteria. We found a wide range of terminology used to describe spillovers, a lack of standardization among spillover methods and poor reporting of spillovers in many studies. We identified three primary mechanisms of spillovers: reduced disease transmission, social proximity and substitution of resources within households. We found the strongest evidence for spillovers through reduced disease transmission, particularly vaccines and mass drug administration. In general, the proportion of a population receiving an intervention was associated with improved health. Most studies were of moderate or low quality. We found evidence of publication bias for certain spillover estimates but not for total or direct effects. To facilitate improved reporting and standardization in future studies, we developed a reporting checklist adapted from the CONSORT framework specific to reporting spillover effects. We found the strongest evidence for spillovers from vaccines and mass drug administration to control infectious disease. There was little high quality evidence of spillovers for other interventions.
登录
查看更多内容
影响因子：
11.8
作者：
Ali, Mohammad;Sur, Dipika;Clemens, John
通讯作者：
Clemens, John
影响因子：
6.2
作者：
Barham, Tania
通讯作者：
Barham, Tania
影响因子：
0.9
作者：
Buttenheim, Alison;Alderman, Harold;Friedman, Jed
通讯作者：
Friedman, Jed
影响因子：
56.3
作者：
Clemens, John;Shin, Sunheang;Ali, Mohammad
通讯作者：
Ali, Mohammad
影响因子：
5.2
作者：
Baird, Sarah;de Hoop, Jacobus;Oezler, Berk
通讯作者：
Oezler, Berk