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Publication Years
783
2268
354
20
Category
1694
230
215
173
162
74
29
Toolboxes
204
169
165
129
116
109
103
85
79
77
71
67
65
64
51
48
30
24
17
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Cardiovascular Disease, Type 2 Diabetes, Cancer and COPD in adults
Ministry of Health and Social Welfare, Tanzania
Tanzania Diabetes Association; World Diabetes Foundation
(2013)
CC
Chronic Non Communicable Diseases. Case Management Desk Guide
Community health workers, recipients’ experiences and constraints to care in South Africa – a pathway to trust
Nonhlanhla Nxumalo, Jane Goudge & Lenore Manderson
AIDS Care Psychological and Socio-medical Aspects of AIDSHIV
(2016)
CC
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
The State of the World's Midwifery
This report, which involved input from across WaterAid, in particular from the Programme Support Unit (PSU) of WaterAid UK, includes case studies from a variety of countries, including Bangladesh, Burkina Faso, Eswatini, Ethiopia, Ghana, India and N
...
epal, each demonstrating what must be done now to improve WASH services and address current challenges, in order to increase community resilience to climate change.
more
Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household Wealth | Early Childhood Development
Accessed on 11.03.2020
Burkina Faso will not achieve the Millennium Development Goals (MDGs) on reducing maternal mortality of children under five, which is still too high.