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Publication Years
1
2570
5537
806
44
4
Category
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640
539
483
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255
55
3
Toolboxes
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445
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347
327
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2
A Policy analysis
DHS Analytical Studies No. 44 Rockville, Maryland, USA: ICF International.
Drawing on lessons from recent events, WHO launched ‘PRET - Preparedness and Resilience for Emerging Threats’ to support countries in updating their pandemic plans. Building on the current global momentum, PRET applies a “mode of transmission lens.”
The first PRET module focuses on preparin
...
g for respiratory pathogens. Future modules will focus on other pathogen groups such as arthropod-borne viruses.
more
Strategy for Increasing the use of Modern Contraceptives in Nigeria
The purpose of this interim guidance is to provide information and insight to assist public policy and
health system leaders in preparing for and responding to an MCE caused by terrorist use of explosives
(TUE). This document provides practical information to promote comprehensive mass casualty ca
...
re
in the event of a TUE event and focuses on two areas:
1. leadership in preparing for and responding to a TUE event, and
2. effective care of patients in the prehospital and hospital environments during a TUE event.
more
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
Policy briefs produced for FP2020 and other countries, presenting analysis of Family Planning Effort (FPE) scores from the current and previous rounds. Research and policy implications based on the analyses are also presented.
Analysis developed by Track20 based on WPP2017 population estimates for 2018 and 2014-15 DHS, unless otherwise noted
Document on the commitment of the Government of Rwanda at the Family Planning Summit in London, UK on July 11, 2017.
Globally, it is estimated that 128.6 million people are currently in need of humanitarian assistance. Of these individuals, approximately one-fourth are women and girls of reproductive age. Although family planning is one of the most life-saving, em
...
powering, and cost-effective interventions for women and girls, it remains an overwhelming gap in emergency responses due to a lack of prioritisation and funding. Consequently, many women and girls are forced to contend with an unmet need for family planning and unplanned pregnancies in addition to the traumas of conflict, disaster, and displacement.
more
