全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Marie Paul Nisingizwe , Cathy Michel ...
来源:[J].BMC Health Services Research(IF 1.773), 2017, Vol.17 (3)Springer
摘要:High-quality data are critical to inform, monitor and manage health programs. Over the seven-year African Health Initiative of the Doris Duke Charitable Foundation, three of the five Population Health Implementation and Training (PHIT) partnership projects in Mozambique, Rwanda, ...
作者:Marie Paul Nisingizwe , Hari S. Iyer ...
来源:[J].Global Health Action(IF 2.062), 2014, Vol.7, pp.1-5DOAJ
摘要:Background: Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) in s...
作者:Marie Paul Nisingizwe , Jean de Dieu Tihabyona ...
来源:[J].Public Health Nutrition(IF 2.25), 2015, Vol.19 (7), pp.1296-1304Cambridge U Press
摘要:Abstract Objective Determining interventions to address food insecurity and poverty, as well as setting targets to be achieved in a specific time period have been a persistent challenge for development practitioners and decision makers. The present study aimed to assess the ...
作者:Marie Paul Nisingizwe , Cheryl Amoroso ...
来源:[J].Health Research Policy and Systems, 2015, Vol.13 (1)Springer
摘要:Abstract(#br) Background(#br)Research is essential to identify and prioritize health needs and to develop appropriate strategies to improve health outcomes. In the last decade, non-academic research capacity strengthening trainings in sub-Saharan Africa, coupled with developing r...
作者:Marie Paul Nisingizwe , Emmanuel Kamanzi ...
来源:[J].PLOS ONE(IF 3.73), 2017, Vol.12 (8)PLOS
摘要:Evaluations of health systems strengthening (HSS) interventions using observational data are rarely used for causal inference due to limited data availability. Routinely collected national data allow use of quasi-experimental designs such as interrupted time series (ITS). Rwanda ...
作者:Marie Paul Nisingizwe , Hari S. Iyer ...
来源:[J].Global Health Action, 2014, Vol.7 (1)Taylor & Francis
摘要:Background(#br)Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) i...

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