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This study measured and compared the prevalence of disability and developmental delay among children attending preschool centres in rural Malawi. A cross-sectional survey was conducted in 48 preschool centres in Thyolodistrict, Malawi. Data were collected from parents or guardians of 20 children per centre. Disability was ascertained using the Washington Group/UNICEF Child Functioning Module. Child development was measured using the language and social domains of the Malawi Development Assessment Tool. A total of 960 children were enrolled; 935 (97.4%) children were assessed for disability and 933 (97.2%) for developmental delay; 100 (10.7%) children were identified as having a disability

Child Care Health Dev. 2020;46:187–194.
https://doi.org/10.1111/cch.12741

This Guidebook supports the implementation of the Washington Group Short Set (WG-SS) – a set of questions designed to identify (in a census or survey format) people with a disability – in multi-topic household surveys, towards improving the collection of disaggregated disability data. The first section presents an overview of the disability definitions in the sociopsychological literature, exploring how disability is defined and who is considered disabled. The second section looks at three different methods for capturing disability in multi-topic household surveys: the Washington Group (WG) question sets, the World Health Organization (WHO) survey instruments for disabilities, and the Demographic and Health Surveys (DHS) module on disabilities. The third section presents the six core WG-SS functional domains, ‘seeing’, ‘hearing’, ‘walking’, ‘cognition’, ‘selfcare’, and ‘communication’, that are intended for the general population five years of age and above. Finally, the Guidebook offers a series of recommendations for ensuring the improvement of disability data collection in multi-topic household survey.

In April and May 2020 the Innovation to Inclusion (i2i) programme, supported disabled persons organisations (DPOs) to complete a qualitative survey of 312 people with disabilities (including 147 women) in Bangladesh and Kenya to understand the impact of COVID-19 and measures to prevent its spread. The survey - a descriptive survey with a representative sample of people with physical, intellectual and multiple disabilities, visual and hearing impairments and mental health issues in the Nairobi, Mombasa and Kasumu areas of Kenya and in the Dhaka, Sylet and Chattogram districts of Bangladesh - has been part of wider efforts by DPOs in the two countries to test and embed data driven advocacy processes towards realising CRPD.   

Topics covered included: employment and job insecurity; access to general pulic information; PPE; access to support; assistive tecnology and discrimination

The Sunderbans are a group of delta islands that straddle the border between India and Bangladesh. For people living on the Indian side, health services are scarce and the terrain makes access to what is available difficult. In 2018, the international non-governmental organisation Sightsavers and their partners conducted a population-based survey of visual impairment and coverage of cataract and spectacle services, supplemented with tools to measure equity in eye health by wealth, disability, and geographical location. Two-stage cluster sampling was undertaken to randomly select 3868 individuals aged 40+ years, of whom 3410 were examined

Int J Environ Res Public Health. 2019 Dec; 16(23): 4869

doi: 10.3390/ijerph16234869

The Bond Disability and Development Group (DDG) has commissioned this learning paper to summarise discussions which took place at the DDG’s Data Lab workshop, held in London on 22 October 2019, and to be used as a reference document going forward. This first workshop focused on why organisations need to collect disability data; what tools are available and practical ways in which these can be used. This learning paper provides a summary of these discussions and can act as a guide and reference tool for organisations looking to be more inclusive in their programming, generally, and in their data collection practices, specifically. A number of case studies and numerous resource references are provided.

Aim: Many children with disabilities in low- and middle-income countries do not attend school and one-third are out of school. In order to ensure that education is for all including children with disabilities, research is needed on barriers to schooling to identify targets for intervention. The study will examine the determinants of school achievement among persons with and without disabilities as well as among each type of impairment.

Methods: The study will utilize data from a recent national, representative household survey on living conditions among persons with and without disabilities. The individual level data used in this article comprise 2123 persons with and 2000 persons without disabilities.

Results: The results show that an alarmingly high proportion of persons in Nepal have not accessed formal education, with access being significantly lower among persons with disabilities. While the results may be influenced by the assumed relationship between disability and poverty, results from analyzing the cross-sectional data cannot be conclusive on the influence of disability vs. poverty in determining differences in access and school attainments. Increased environmental barriers, higher age, rural location, and increased levels of disability were found to be associated with lower educational achievement. Pronounced differences in access to education were found between impairment types, with individuals with physical impairments achieving the highest level and individuals with multiple impairments, hearing and mental impairments achieving lowest.

Conclusions: It is necessary both to strengthen the entire educational sector and at the same time allocate resources that will ensure that all children are on board and that particular efforts are implemented to cater for those who are easily side-lined.

The International Organization for Migration's Displacement Tracking Matrix (10M DTM) and Humanity & Inclusion (HI) joined efforts to undertake an assessment of the level of access to services and the barriers faced by persons with disabilities within Wau Protection of Civilian Adjacent Area site (PoC AA or PoC site). The study, based on data collected in February 2019, aims to improve the knowledge base available to the humanitarian community about access to services by persons with disabilities living in the PoC site. It provides a quantitative estimate of the prevalence of disabilities among the IDP population and an assessment of the barriers faced by persons with disabilities in accessing humanitarian services across sectors. It also seeks to empower persons with disability living within the PoC site, giving them the opportunity to express their concerns and preferences with regards to possible solutions and targeted interventions.

The Global Shelter Cluster (GSC) Working Group on Inclusion of Persons with Disabilities in Shelter Programming was set up to build on existing guidelines and work addressing vulnerability factors to integrate a wider and more systematic disability inclusive approach to shelter and settlements programming, as well as support more general inclusion mainstreaming as prioritized by the GSC Strategy 2018 – 2022. To begin this process, the Working Group undertook a Baseline Mapping of how disability mainstreaming and inclusion is currently addressed within the sector. The Baseline Mapping included review of published literature and project documents, key informant interviews and an online questionnaire.

With India preparing for the next decennial Census in 2021, disability estimates and data collection methodology between the Census 2011 and the most recent population-level survey for India and its states were compared, to highlight the issues to be addressed to improve robustness of the disability estimates in the upcoming Census.

Data from the Census 2011 and from two complementary nationally representative household surveys that covered all Indian states with the same methodology and survey instruments–the District-Level Household Survey-4 (DLHS-4, 2012–2013) and the Annual Health Surveys (AHS three rounds, 2010–11, 2011–12 and 2012–13) were used. Data from DLHS-4 and AHS 2012–13 round were pooled to generate estimates for the year 2012–13. Data collection methodology between the sources was compared, including the review of definitions of each type of disability. The overall, mental, visual, hearing, speech, and movement disability rate (DR) per 100,000 population were compared between the sources for India and for each state, and the percent difference in the respective rates was calculated