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Policy Brief | April 2015 | This brief accompanies the data sheet, Addressing Risk Factors for Noncommunicable Diseases Among Young People in Africa: Key to Prevention and Sustainable Development, and its data appendix, which provide all available country-specific data on four key NCD risk factors a
...
mong young people in Africa since 2004. These publications extend an earlier publication, Noncommunicable Disease Risk Factors Among Young People in Africa: Data Availability and Sources. All are available at www.prb.org/Publications/Datasheets/2015/ncd-risk-youth-africa.aspx.
more
This Global Plan builds on the previous edition, which laid out priority actions for 2018-2022, informed by global commitments member states endorsed at the 2018 United Nations High-Level Meeting (UNHLM) on TB. The resource needs estimates from this Global Plan include resources needed for implement
...
ing TB care and prevention and R&D into new tools. This Global Plan has already informed the Global Fund Investment Case and the 2022 G20 deliberations on TB. It will serve as a key document for inspiring and aligning global advocacy efforts, such as for the upcoming UNHLM on TB in 2023.
more
This research report provides results from the study of living conditions
among people with disabilities in Lesotho. Comparisons are made
between disabled and non-disabled in household level and individual
level. Disability was defined as limitation to perform certain activities that
was measure
...
d according to the Washington City Group questions.
Results obtained in Lesotho are also compared to those obtained in
earlier studies carried out in Mozambique, Zambia, Namibia, Zimbabwe
and Malawi. The Lesotho study was undertaken in 2009-2010.
more
Towards ending tuberculosis and multidrug-resistant tuberculosis.
DHS Working Papers No. 98.
Summary of key informant interviews with representatives of organizations providing, funding, or supporting WASH services to refugee populations
DHS Analytical Studies No. 41
DHS Working Paper No. 133
DHS Working Papers No. 120
Bulletin of the World Health Organization, 2001, 79 (4)
Int Health. 2012 December 1; 4(4): 253–259. doi:10.1016/j.inhe.2012.07.001
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. more
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. more
This policy will serve as a cornerstone from which to address the accessibility of Family Planning services and to encourage its integration with services for HIV/AIDS, maternal health, child health, and other development initiatives. This policy is timely, as Rwanda is embarking on the introduction
...
of community-based provision of Family Planning through community health workers. In addition, the expansion of adolescent sexual and reproductive health programs is a pillar of this policy that will help attract and retain the next generation of Family Planning users. These efforts are anticipated to trigger a paradigm change in the way Family Planning services are provided and accessed in order to contribute towards a healthy and productive Rwanda for all.
more
Every Newborn: an action plan to end preventable deaths is a roadmap for change. It takes forward the Global Strategy for Women’s and Children’s Health by focusing specific attention on newborn health and identifying actions for improving their survival, health and development.
