Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Analytical Studies No. 60
DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
Further analysis of the 2011 Nepal Demographic and Health Survey
DHS Analytical Studies No. 55.
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and ...hlight medbox">Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenatal care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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DHS Further Analysis Reports No. 107 - This report, based largely on the 2014-15 national survey in Rwanda, focuses on changes and trends in reproductive behavior since 2010. In the 4-5 years after the 2010 survey, fertility continued its decline to 4.2 births per woman as contraceptive prevalence i...ncreased slightly. However, the earlier downward trend in number of children desired appears stalled. This is clearly evident from an increase in the proportions of married women and men who say they want more children. Child mortality has significantly declined and remains strongly related to fertility; while age at marriage has continued to increase. The demographic goals specified in the 1998-99 plan for development, Rwanda Vision 2020, appear on track, but the annual rate of population growth remains high, currently 2.5%, because fertility is high. Furthermore, large numbers of young people are now entering their child-bearing years. Although most trends seem encouraging, especially compared with other countries in sub-Saharan Africa, significant population growth is expected in Rwanda, from 12 to 16 million people by 2030, and to 22 million people by mid-century, even with assumed reductions of fertility.
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DHS Further Analysis Reports No. 89 - The 2010 Rwanda Demographic and Health Survey shows that 3 percent of Rwandan adults age 15-49 have been infected with HIV. The prevalence was much higher in urban areas, among women, and among adults who had mu...ltiple lifetime sexual partners and used a condom at last sexual intercourse. The
level of and differences in HIV prevalence in Rwanda in 2010 are very similar to those observed in 2005. Using data from the two recent Rwanda Demographic and Health Surveys, implemented in 2005 and
2010, this study examined changes in key HIV-related knowledge, attitudes, and sexual behavior indicators. Significant changes in selected indicators during 2005 and 2010 were determined by Student ttest with p-values less than 0.05.
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2018 monitoring report: current status and strategic priorities
The report sets out the status of women’s, children’s and adolescents’ health, and on health systems and social and environ...mental determinants. Regional dashboards on 16 key indicators highlight where progress is being made or lagging. There is progress overall, but not at the level required to achieve the 2030 goals. There are some areas where progress has stalled or is reversing, namely neonatal mortality, gender inequalities and health in humanitarian settings.
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The Third Rwandan Health Sector Strategic Plan (HSSP III) provides strategic guidance to the health sector for six years, between July 2012 and June 2018. HSSP III has been inspired and guided by th...e VISION 2020, which will make Rwanda a lower-middle-income country by 2020; the Rwandan Health Policy of 2004; and the priorities set out by the Economic Development and Poverty Reduction Strategy (EDPRS 2008–2012).
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Policy Research Working Paper 6100 | Impact Evaluation Series No. 60 | This study examines the effect of performance incentives for health care providers to provide more and higher quality care in Rwanda on child ...medbox">health outcomes. The authors find that the incentives had a large and significant effect on the weight-for-age of children 0–11 months and on the height-for-age of children 24–49 months. They attribute this improvement to increases in the use and quality of prenatal and postnatal care. Consistent with theory, They find larger effects of incentives on services where monetary rewards and the marginal return to effort are higher. The also find that incentives reduced the gap between provider knowledge and practice of appropriate clinical procedures by 20 percent, implying a large gain in efficiency. Finally, they find evidence of a strong complementarity between performance incentives and provider skill .
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Paying for performance (P4P) provides financial incentives for providers to increase the use and quality of care. P4P can affect health care by providing incentives for providers to put more effort into specific activities, and by increasing the amo...unt of resources available to finance the delivery of services. This paper evaluates the impact of P4P on the use and quality of prenatal, institutional delivery, and child preventive care using data produced from a prospective quasi-experimental evaluation nested into the national rollout of P4P in Rwanda. Treatment facilities were enrolled in the P4P scheme in 2006 and comparison facilities were enrolled two years later. The incentive effect is isolated from the resource effect by increasing comparison facilities’ input-based budgets by the average P4P payments to the treatment facilities. The data were collected from 166 facilities and a random sample of 2158 households. P4P had a large and significant positive impact on institutional deliveries and preventive care visits by young children, and improved quality of prenatal care. The authors find no effect on the number of prenatal care visits or on immunization rates. P4P had the greatest effect on those services that had the highest payment rates and needed the lowest provider effort. P4P financial performance incentives can improve both the use of and the quality of health services. Because the analysis isolates the incentive effect from the resource effect in P4P, the results indicate that an equal amount of financial resources without the incentives would not have achieved the same gain in outcomes.
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No publication year indicated
The specific objectives of the plan are to:
- Scale up evidence-based, cost effective interventions through effective strategies within a HSS approach and provide equitable coverage with quality.
- Reduce neonatal mortality by improved home-based newborn ...care, early identification of sick newborns and improved access to institutional newborn care of adequate quality.
- Reduce common childhood illness related mortality (due to pneumonia and diarrhoea in all areas and malaria in endemic areas) by improving key family and community practices, community-based early diagnosis and management and referral care for complicated cases.
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Over the period 2015 to 2019, scaling up a package of selected nutrition-specific and nutrition sensitive interventions to cover 90 per cent of Sudan would:
- Reduce the under-five mortality r...ate to 49/1,000 live births
- Reduce the prevalence of stunting to 25 per cent
- Reduce the prevalence of wasting (global acute malnutrition – GAM) to 6 per cent
- Increase exclusive breastfeeding to 63 per cent
- Reduce iron deficiency anaemia among pregnant women to 26 per cent.
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