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Publication Years
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Toolboxes
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Guidance | Preparedness - Response and early recovery - Recovery and reconstruction
A manual for people working in environments contaminated by landmines and other explosive hazards including improvised explosive devices.
Frameworks for Victim Assistance: Monitor key findings and observations
International Campaign to Ban Landmines
(2013)
C3
For close to 15 years, the Monitor has tracked the impact of victim assistance on the lives of victims of landmines, cluster munitions,
and other explosive remnants of war (hereafter “mine/ERW victims”). Over this time, the international communi
...
ty has strengthened its resolve to promote the rights and address the needs of victims through programs and services that are accessible and adequate in quantity, quality, availability, and consistent with the high standards set by human rights as well as other international humanitarian law.
more
Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data on disabled children, and why there is a real need to improve the collection, analysis, dissemination
...
and use of disability data.
more
This document is one of eight PDF documents that comprise the Guidance on Child-focused Victim
Assistance. All are available in PDF at . The full document is also available.
This first section contains the Acknowledgements, Foreword, Acronyms and Chapters 1 th
...
rough 4: Chapter 1. Introduction: The Need for Child-focused Victim Assistance Guidance; Chapter 2. Mine Action, UNICEF and Guidance on Child Victim Assistance ;Chapter 3. Victim Assistance: Stakeholders and International Standards; Chapter 4. Principles, Coordination and Cross-cutting Aspects of Victim Assistance
more
Humanitarian inclusion standards for older people and people with disabilities
recommended
Age and Disability Consortium
CBM International, HelpAge International,and Handicap International
(2018)
The Standard consists of nine key inclusion standards, and seven sets of sector-specific inclusion standards for protection – water, sanitation and hygiene, food security and livelihoods, nutrition, shelter, settlement and household items, health and education. Each standard comes with key actions
...
, guidance, tools and resources.
more
you can find all 14 Technical Booklets on Inclusive Education, produced by UNICEF, in ENGLISH. Other versions can be found on the website https://www.ded4inclusion.com/inclusive-education-resources-free/unicef-inclusive-education-booklets-and-webinars-english-version. Each Technical Booklet (and com
...
panion webinar) introduces a sub-theme of particular interest within Inclusive Education, and each was written by an expert, and peer-reviewed widely
more
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
...
al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
more
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent
...
class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
more
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. 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
A discussion paper on the scope of the problem, its drivers, and strategies for moving forward for policy, practice, and research
In many protracted emergencies, the prevalence rates of global acute malnutrition (GAM) regularly exceed the emergency threshold of > 15% of children with acute malnutri
...
tion (< -2 weight-for-height z-scores (WHZ) or with nutritional edema), despite ongoing humanitarian interventions. The widespread scale and long-lasting nature of “persistent GAM” means that it is a policy and programming priority.
more