The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan...da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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A Toolkit for Implementation. Module 1: An Overview of Implementation at National, Province and District Levels
A toolkit for Implementation. Module 3: Participatory community assessment in maternal and newborn health
Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB
Shaping Health programme on Learning from international experience on approaches to community power, participation and decision-making in health,AMHF, TARSC
Updates for the integrated management of childhood illness (IMCI) - Guideline.
As part of its response to the global epidemic of obesity, WHO has issued guidelines to support primary healthcare workers identify and manage children who are overweight or obese. Specifically, all infants and children ...aged less than 5 years presenting to primary health-care facilities should have both weight and height measured in order to determine their weight-for-height and their nutritional status according to WHO child growth standards. Comparing a child's weight with norms for its length/height is an effective way to assess for both wasting and overweight
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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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Disease Control Division,
Standard Management Guideline
Directorate General of Health Services, Ministry of Health & Family Welfare
First Published: 15th May 2017
The objective of this project was to list the medical devices required to provide the essential reproductive, maternal, newborn and child health interventions defined by existing WHO guidelines and publications, in order to improve access to these devices in low- and middle-income countries, support... quality of care, and strengthen health-care system. The medical devices are allocated across the reproductive, maternal, newborn and child health continuum of care according to the level of health-care delivery.
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