La deuxième Enquête sur la prestation des services de soins de santé du Rwanda (EPSR-II), réalisée en 2007, est une enquête représentative au niveau national au cours de laquelle un échantillon de 538 établissements de santé ont été enquêtés. L’enquête a couvert les ôpitaux, les ce...ntres de santé, les dispensaires et les postes de santé et a inclus tous les établissements publics, qu’ils appartiennent au secteur gouvernemental ou Agréé, et la plupart des établissements privées. L’EPSR-II a collecté des informations sur les capacités des
établissements à fournir des services de qualité ainsi que sur l’existence de systèmes effectifs garantissant des services de qualité, par le biais d’interviews effectuées auprès des prestataires de santé et des patients ainsi que par le biais d’observations de consultations de patients ; ces informations concernent essentiellement l’infrastructure d’ensemble de l’établissement ainsi que les services de santé maternelle, infantile, de santé de la reproduction, de tuberculose, du paludisme, des infections sexuellement transmissibles (IST) et du VIH/sida. L’objectif de cette étude est, d’une part, d’évaluer les forces et faiblesses de l’infrastructure et des systèmes de support de ces services et, d’autre part, d’évaluer le niveau d’adhésion des prestataires aux standards de prestation des services.
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General fact sheet in booklet form about the 2014-2015 Demographic and Health Survey conducted in Rwanda. The 2014-15 Rwanda Demographic and Health Survey (RDHS) provides data for monitoring the health situation of the population in Rwanda. The 2014-15 RDHS is the 5th Demographic and Health Survey c...onducted in the country. The survey is based on a nationally representative sample. It provides estimates at the national and provincial levels, as well as for urban and rural areas, and for some, at the district level.
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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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 Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al 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. 90 - In Rwanda, between 2005 and 2010, there have been radical declines in the desired number of children, actual fertility, and child mortality along with a large increase in contraceptive prevalence. This study reviews trends in some of these measures. Multivariate... analyses evaluate the relative importance for
the desired number of children of years of schooling, wealth, urban residence, media exposure, child mortality, and attitudes toward gender equality. Variations in reproductive preferences, the total fertility rate, and unmet need for family planning are mapped for the 30 districts of Rwanda. The explanations for the rapid changes in reproductive attitudes and behavior are clearly related to the concerns of the country, the rapid rate of population growth, and its implications for economic development and reproductive health.
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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 multiple lifetime sexual partners and used a condom a...t 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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DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and Health Surveys (RDHS).
DHS Working Papers No. 105 - Rwanda has developed and implemented many strategies at the national level to reduce the incidence of HIV in the general population. One of the main objectives of such interventions is to improve the general level of knowledge of HIV, with the hypothesis that increasing... HIV knowledge will reduce risky sexual behavior. However, there has been a concern that HIV knowledge may not necessarily reduce risky sexual behavior. Only a limited number of population-based studies describe the results of these interventions in terms of how HIV knowledge affects risky sexual behavior. Therefore, the aim of this paper is to fill in this gap, by exploring HIV knowledge and its effect on risky sexual behavior among men in Rwanda.
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DHS Working Papers No. 94 - This study described the family planning initiatives in Rwanda and analyzed the 2005 and 2010 RDHS data to identify factors that contribute to the increase in contraceptive use. The Blinder-Oaxaca technique was used to decompose the contributions of women’s characterist...ics and their effects.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Kigali City
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Eastern Province.
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he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication illu...strates the profile of Northern Province.
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Southern province
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Policy briefs produced for FP2020 and other countries, presenting analysis of Family Planning Effort (FPE) scores from the current and previous rounds. Research and policy implications based on the analyses are also presented.