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Publication Years
1018
2180
224
8
1
Category
980
283
230
187
181
46
39
1
Toolboxes
448
236
191
184
178
175
139
136
111
100
66
63
61
57
54
44
35
35
28
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24
20
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9
The emergency Water, Sanitation and Hygiene Promotion (WASH) gap analysis project was funded by The Humanitarian Innovation Fund (HIF), a program managed by Enhancing Learning and Research for Humanitarian Assistance (ELRHA) in partnership with the Active Learning Network for Accountability and Per
...
formance in Humanitarian Action (ALNAP), and is a component of a larger initiative to identify and support innovations in emergency WASH. This paper gives an explanation of the background, methodology, and findings of the program.
more
Research
Emerging Infectious Diseases Vol. 12, No. 5, May 2006
DHS Analytical Studies No. 60
DHS Analytical Studies No. 41
DHS Analytical Studies No. 55.
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
Emerging evidence and experience to inform risk management in a warming world
2016 revision
Antimicrobial Resistance and Infection Control 2014,3 :31
Data received as of July 3, 2017 | WHO and UNICEF estimates of national immunization coverage - next revision available July 15, 2018
DHS Working Papers No. 84
2016 revision
журнал психиатрия 1`2014
Гаврилова С.И, Aлесенко А.В., Mолочкина Е.М. et al.
ФГБНУ «Научный центр психического здоровья»
(2014)
C2
Материалы научно-практической конференции с международным участием «Достижения в нейробиологии и терапии болезни Альцгеймера», посвященной памяти профессора Э.
...
. Штернберга (Москва, 6 декабря 2013 г.)
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