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This report presents research that was undertaken as part of Development Initiatives’ work on data to support disability inclusion. It provides analysis of government budget allocations to disability inclusion programmes in Kenya over the period of financial year 2016/17 (FY2016/17) to financial year 2020/21 (FY2020/21). The analysis focuses on disability-relevant ministries, departments and agencies at the national level, including those led by the State Department for Social Protection, the Office of the President, the State Department for Early Learning and Basic Education, and the State Department for Vocational and Technical Training. Due to limitations in the available data, the analysis looks primarily at the education and social protection sectors. This report has been funded with UK aid from the UK government, and was developed with the support of the Inclusive Futures consortium. The opinions expressed are those of the author(s) and do not necessarily reflect the views or policies of the UK government or other members of the Inclusive Futures consortium.

This situational analysis (SITAN) addresses the question: “what is the current situation in relation to formal sector employment for persons with disabilities in Kenya?”. It has been prepared for the Inclusion Works programme (which works on disability inclusive formal employment in Bangladesh, Kenya, Nigeria and Uganda), to better understand the current context and available evidence in Kenya, and will be helpful for anyone interested in disability inclusion, especially in relation to employment, in Kenya. It focuses on persons with disabilities, employers, policy, the disability movement, and partnerships. This SITAN has been briefly updated from the June 2019 SITAN.

The opinions expressed are those of the authors and do not necessarily reflect the views or policies of the UK government or members of the Inclusion Works consortium.

This situational analysis (SITAN) addresses the question: “what is the current situation in relation to formal sector employment for persons with disabilities in Nigeria?”. It has been prepared for the Inclusion Works programme (which works on disability inclusive formal employment in Bangladesh, Kenya, Nigeria and Uganda), to better understand the current context and available evidence in Nigeria, and will be helpful for anyone interested in disability inclusion, especially in relation to employment. It focuses on persons with disabilities, employers, policy, the disability movement, and partnerships.

The opinions expressed are those of the authors and do not necessarily reflect the views or policies of the UK government or members of the Inclusion Works consortium.

This situational analysis (SITAN) addresses the question: “what is the current situation for persons with disabilities in Nepal?”. It has been prepared for the Disability Inclusive Development programme (which works on access to education, jobs, healthcare, and reduced stigma and discrimination for persons with disabilities in Bangladesh, Jordan, Kenya, Nepal, Nigeria, and Tanzania), to better understand the current context, including COVID-19, and available evidence in Nepal. It will be helpful for anyone interested in disability inclusion in Nepal, especially in relation to stigma, employment, education, health, and humanitarian issues. This SITAN has been briefly updated from the April 2019 SITAN.

This situational analysis (SITAN) addresses the question: “what is the current situation for persons with disabilities in Jordan?”. It has been prepared for the Disability Inclusive Development programme (which works on access to education, jobs, healthcare, and reduced stigma and discrimination for persons with disabilities in Bangladesh, Jordan, Kenya, Nepal, Nigeria, and Tanzania), to better understand the current context, including COVID-19, and available evidence in Jordan. It will be helpful for anyone interested in disability inclusion in Jordan, especially in relation to stigma, employment, education, health, and humanitarian issues.

This situational analysis (SITAN) addresses the question: “what is the current situation for persons with disabilities in Nigeria?”. It has been prepared for the Disability Inclusive Development programme (which works on access to education, jobs, healthcare, and reduced stigma and discrimination for persons with disabilities in Bangladesh, Jordan, Kenya, Nepal, Nigeria, and Tanzania), to better understand the current context, including COVID-19, and available evidence in Nigeria. It will be helpful for anyone interested in disability inclusion in Nigeria, especially in relation to stigma, employment, education, health, and humanitarian issues.

Aim:  A cluster randomized cross-sectional survey to assess the prevalence of disability and access to support services was conducted in Albay Province, the Philippines in April 2016.

Method:  The population-based survey methodologies developed by the Washington Group of the United Nations Statistical Commission and UNICEF were utilized.  A sample of 70 barangays (the 3rd level administrative division in the Philippines) was selected as clusters, with probability proportional to size, and 30 households were selected randomly in each barangay to be surveyed.

Results:  The estimated prevalence of disability using the standard criteria of the Washington Group and UNICEF among children (2-17 years old) was 2.0% and for adults (≥18 years old) it was 6.5%.  The estimated prevalence of disability was higher in rural than in urban areas.  Deficiencies in the performance of existing services were identified; access by children with disabilities to support services was lowest in rural highland and rural plain barangays.

Conclusions: There was a large unmet demand for support services addressing the needs of persons with disabilities in Albay Province, especially in rural highland areas.  Persons with disabilities were disadvantaged in access to education and employment; many had not been educated in their basic rights.

Implications:  To identify, educate and fully support persons with disabilities, community-based rehabilitation (CBR), health and other rehabilitation services must communicate effectively with each other, their current work should be mapped and analysed, their comparative strengths identified, and their future work coordinated.  It is a priority to educate persons with disabilities and their families about their rights, and facilitate their access to support services; this requires increased investment in communication targeting persons with disabilities and the communities, especially rural.  Providers caring for persons with disabilities need to work in partnership to identify unreached persons with disabilities.  Prevalence surveys, with stronger focus on the profiles and performance of CBR and related services, would add to the evidence-base to improve the quality and coverage of services for persons with disabilities.

Background: Epidemiological information on childhood disability provides the basis for a country to plan, implement and manage the provision of health, educational and social services for these vulnerable children. There is, however, currently no population-based surveillance instrument that is compatible with the International Classification of Functioning, Disability and Health (ICF), internationally comparable, methodologically sound and comprehensively researched, to identify children under 5 years of age who are living with disability in South Africa and internationally. We conducted a descriptive pilot study to investigate the sensitivity and specificity of translated versions of the Ages and Stages Questionnaire Third Edition (ASQ-III) and the Washington Group on Disability Statistics/UNICEF module on child functioning (WG/UNICEF module) as parent-reported measures. The aim of our study was to identify early childhood disabilities in children aged 24–48 months in a rural area of South Africa, to determine the appropriateness of these instruments for population-based surveillance in similar contexts internationally.

Methods: This study was conducted in the Xhariep District of the Free State Province in central South Africa, with 50 carers whose children were registered on the South African Social Security Agency (SASSA) database as recipients of a grant for one of the following: Care Dependency, Child Support or Foster Care. The researchers, assisted by community healthcare workers and SASSA staff members, conducted structured interviews using forward–backward translated versions of the ASQ-III and the WG/UNICEF module.

Results: Both measurement instruments had a clinically meaningful sensitivity of 60.0%, high specificity of 95.6% for the ASQ-III and 84.4% for the WG/UNICEF module, and the two instruments agreed moderately (Kappa = 0.6).

Conclusion: Since the WG/UNICEF module is quicker to administer, easier to understand and based on the ICF, it can be considered as an appropriate parent-reported measure for large-scale, population-based as well as smaller, community-specific contexts. It is, however, recommended that future research and development continues with the WG/UNICEF module to enhance its conceptual equivalence for larger-scale, population-based studies in South Africa and internationally.

Background: Vision impairment, resulting in vision difficulties, is a leading cause of disability, and hence one of the key barriers for people to access education and employment, which may force them into poverty.

Objectives: The objective of this study was to determine the prevalence of self-reported vision difficulties as an indicator of vision impairment in economically disadvantaged regions in South Africa, and to examine the relationship between self-reported vision difficulties and socio-economic markers of poverty, namely, income, education and health service needs.

Methods: A cross-sectional study was conducted in economically disadvantaged districts to collect data from households on poverty and health, including vision difficulty. As visual acuity measurements were not conducted, the researchers used the term vision difficulty as an indicator of vision impairment. Data were collected from 27 districts (74 901 respondents). Logistic regression analysis and chi-square tests were used to determine bivariate relationships between variables and self-reported vision difficulty. Kernel density estimators were used for age, categorised by self-reported and not reported vision difficulty.

Results: Prevalence of self-reported vision difficulty was 11.2% (95% CI, 8.7% – 13.7%). More women (12.7%) compared to men (9.5%) self-reported vision difficulty (p < 0.01). Self-reported vision difficulty was higher (14.2%) for respondents that do not spend any money. A statistically significant relationship was found between the highest level of education and self-reporting of vision difficulty; as completed highest level of education increased, self-reporting of vision difficulty became lower (p < 0.01). A significantly higher prevalence of self-reported vision difficulty was found in respondents who are employed (p < 0.01), 17% (95% CI: 12.8% – 21.1%).

Conclusion: The evidence from this study suggests associations between socio-economic factors and vision difficulties that have a two-fold relationship (some factors such as education, and access to eye health services are associated with vision difficulty whilst vision difficulty may trap people in their current poverty or deepen their poverty status). The results are thus indicative of the need for further research in South Africa.