Towards the Elimination of Mother-to-Child Transmission of HIV and keeping mothers Alive. 2012-2015
Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data
National Tuberclosis and
Leprosy Programme (NTLP)
BANGLADESH COMMUNITY HEALTH PROGRAMS
Review of disability issues and rehabilitation services in 29 african countries.
A training course for Vasectomy Providers and Assistants
2nd Edition
Une adaptation de COPE®
(Services efficaces axés sur le client)
For the toolbox visit: http://www.engenderhealth.org/pubs/maternal/obstetric-delivery-care.php
To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case ...study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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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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