Dossa Nissou I, Philibert Aline, Dumont Alexandre
Research Institute for Development, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
Research Institute for Development, Université Paris Descartes, Sorbonne Paris Cité, Paris, France; Interdisciplinary Research Centre on Well-being, Health, Society and Environment (CINBIOSE), Université du Québec à Montréal, Canada.
Int J Gynaecol Obstet. 2016 Nov;135 Suppl 1:S64-S71. doi: 10.1016/j.ijgo.2016.08.004.
There is a need to provide increased evidence on effective interventions to reduce maternal and neonatal mortality in low- and middle-income countries (LMICs).
To summarize the breadth of knowledge on using routine data (Routine Health Information Systems [RHIS] and Intermittent Community Surveys [ICS]) for well-designed maternal and neonatal health evaluations in LMICs.
We searched reports and articles published in Embase, Medline, and Google scholar. Selection criteria Studies were considered for inclusion if they were carried out in LMICs, using RHIS or ICS data with experimental or quasi-experimental design.
A form was used to collect information on indicators used for interventions' impact assessment. Descriptive statistics and multiple correspondence analyses were then performed.
Of the 1201 publications identified, 46 studies met the inclusion criteria. Most of these were using RHIS data (n=40), mainly extracted from health facility registers (n=34), and non-controlled before and after design (n=30). The indicators, which were mostly reported, were related to the use of healthcare services (n=36) and maternal/neonatal health outcomes (n=31). Few studies used ICS data (n=6) or indicators of severity (n=2).
RHIS and ICS data should be increasingly used for impact studies on maternal and neonatal health in LMICs.
有必要提供更多证据，证明在低收入和中等收入国家（LMICs）减少孕产妇和新生儿死亡率的有效干预措施。
总结关于在低收入和中等收入国家利用常规数据（常规卫生信息系统[RHIS]和间歇性社区调查[ICS]）进行精心设计的孕产妇和新生儿健康评估的知识广度。
我们检索了Embase、Medline和谷歌学术上发表的报告和文章。纳入标准 如果研究在低收入和中等收入国家进行，使用RHIS或ICS数据且采用实验性或准实验性设计，则考虑纳入。
使用一种表格收集关于用于干预措施影响评估的指标的信息。然后进行描述性统计和多重对应分析。
在识别出的1201篇出版物中，46项研究符合纳入标准。其中大多数使用RHIS数据（n = 40），主要从医疗机构登记册中提取（n = 34），以及非对照前后设计（n = 30）。最常报告的指标与医疗服务的使用（n = 36）和孕产妇/新生儿健康结果（n = 31）有关。很少有研究使用ICS数据（n = 6）或严重程度指标（n = 2）。
在低收入和中等收入国家，应越来越多地使用RHIS和ICS数据进行孕产妇和新生儿健康影响研究。
