For several decades, civil society organisations (CSOs) in Nigeria have been advocating for increased resources for family planning (FP) and reproductive health (RH) services and commodities. To help CSOs in Nigeria understand and actively participate in the budget process at the state level, a team... from the Health Policy Project conducted an assessment to identify the differences between theory and practice in state-level budgeting. The team selected two states—Cross River and Zamfara—and compiled information on their budget process for the health sector.
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Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Further Analysis Reports No. 103
Outstanding child and adolescent TB priorities include the need to: find the missing children with active TB and link them to TB care; prevent TB in children who are in contact with infectious TB cases (through implementation of active contact investigation and provision of preventive treatment); an...d advance integration within general child health services, including maternal and child health/ reproductive, maternal, newborn, child and adolescent health, HIV, nutrition and other programmes.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals ...(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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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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revised version December 2020