Review
S Afr Med J 2014;104(3):174-177. DOI: 10.7196/SAMJ.7968
DHS Working Papers No. 104.
DHS Working Papers No. 91
Further analysis of the 2011 Nepal Demographic and Health Survey
Paper commissioned for Fixing the Broken Promise of Education for All: Findings from the Global Initiative on Out-of-School Children
This study examines over 20 years of CBR implementation in Nepal. It includes an overview of CBR interventions, provides analysis of approaches and activities in terms of impact and sustainability and makes recommendations for future developments in CBR. This resource is useful for people interested... in CBR in Nepal
more
Global Campaign Against Epilepsy
Disability-inclusive development policy and practice is constantly changing and evolving. It is a foundational part of our work in CBM, underpinning all that we do. It requires us to be constantly reflecting, learning and improving our practice. In particular looking to the deeper questions: of the ...relationships and
representation of people with disabilities within our work; and how we partner with Disabled Peoples Organisations (DPOs) to achieve transformative, systemic change in the countries where we work.
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
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