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To contribute to the WHO initiative, VISION 2020: The Right to Sight, an assessment of global vision impairment in 2020 and temporal change is needed. This paper aims to extensively update estimates of global vision loss burden, presenting estimates for 2020, temporal change over three decades between 1990–2020, and forecasts for 2050.

A systematic review and meta-analysis of population-based surveys of eye disease from January, 1980, to October, 2018 was carried out. Only studies with samples representative of the population and with clearly defined visual acuity testing protocols were included. Hierarchical models were fitted to estimate 2020 prevalence (with 95% uncertainty intervals [UIs]) of mild vision impairment (presenting visual acuity ≥6/18 and <6/12), moderate and severe vision impairment (<6/18 to 3/60), and blindness (<3/60 or less than 10° visual field around central fixation); and vision impairment from uncorrected presbyopia (presenting near vision <N6 or <N8 at 40 cm where best-corrected distance visual acuity is ≥6/12). We forecast estimates of vision loss up to 2050.

https://doi.org/10.1016/ S2214-109X(20)30425-3

The main objective of this assessment was to explore the barriers faced by children with disabilities in the cities of Mogadishu, Galkaio, Baidoa and Kismaio in Somalia and assess how different stakeholders have sought to address these barriers. The findings of the Assessment are intended to serve as a limited baseline data to inform future programming in the area, both by the government and its local and international partners.

The Assessment used a mixed-methods approach, combining qualitative and quantitative research methods. The Assessment team interviewed 20 key informants, held four focus group discussions (FGDs) with 48 support persons and another four FGDs with 48 children with disabilities. The quantitative survey covered 100 support persons.

The global Multidimensional Poverty Index (MPI) measures the complexities of poor people’s lives, individually and collectively, each year. This report focuses on how multidimensional poverty has declined. It provides a comprehensive picture of global trends in multidimensional poverty, covering 5 billion people. It probes patterns between and within countries and by indicator, showcasing different ways of making progress. Together with data on the $1.90 a day poverty rate, the trends monitor global poverty in different forms.

The COVID-19 pandemic unfolded in the midst of this analysis. While data are not yet available to measure the rise of global poverty after the pandemic, simulations based on different scenarios suggest that, if unaddressed, progress across 70 developing countries could be set back 3–10 years.

It is 10 years before 2030, the due date of the Sustainable Development Goals (SDGs), whose first goal is to end poverty in all its forms everywhere. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'. By detailing the connections between the MPI and other poverty-related SDGs, the report highlights how the lives of multidimensionally poor people are precarious in ways that extend beyond the MPI’s 10 component indicators.

The data is not disaggregated by people with disabilities.

On April 22nd 2020, the European Disability Forum organised the fourth of a series of webinars about the Innovation to Inclusion project (also called i2i programme). 

Four speakers were invited to talk about Labour Market Data for persons with disabilities. After their presentation, there was some time for questions and answers.

• Mark Carew (Leonard Cheshire) spoke briefly about i2i’s approach to disability data and how i2i supports a good quality collection of disability data.
• Valentina Stoevska (Department of Statistics, International Labour Organisation) explained the objectives of the statistical data on the labour market characteristics of persons with disabilities. She talked about the use of Washington Group questions on the disability Labour Force Surveys. To conclude her presentation, Ms Stoevska briefly illustrated with some statistics the employment characteristics of persons with disabilities.
• Robert Buluma (Governance, Peace and Security statistics of the Kenya National Bureau of Statistics) briefly provided some information on the development of a disability monograph.
• Anderson Gitonga (United Disabled Persons of Kenya (UDPK)) spoke about the importance of the meaningful participation of persons with disabilities in data gathering and touched upon the technical working group that has been formed in Kenya.

The aims of this study were to determine the prevalence of disability in the adult Moroccan population, and its distribution according to socio-demographic characteristics and geographical regions. A national survey was conducted in 2014, including a sample of 47,275 adult participants drawn from 16,044 households from urban and rural areas proportioned to population size. The sample’s socio-demographic characteristics were collected in face-to-face interviews. The data were then screened for disability using the Washington Group Short Set of Questions on Disability.

Journal of Rehabilitation Medicine. 2019 Oct 29;51(10):805-812.
 doi: 10.2340/16501977-2611

The main objective of this study was to assess the knowledge, attitude and stigma of leprosy amongst the community members living in Dhanusha and Parsa districts of Southern Central Nepal. A total of 423 individuals were interviewed using a structured questionnaire in Dhanusha and Parsa districts. Data was analyzed using both descriptive (frequency, percentage, median) and statistical inferences.

This desk based review reports on the then current best estimates of psychosocial disability in the following countries in the Middle East and North Africa: Lebanon, Jordan, Occupied Palestinian Territories (OPTs), Iraq, Syria and Yemen. Factors influencing prevalence of psychosocial disability in each of these countries, and whether conflict was an important factor were considered. Prevalent forms of psychosocial disability and how might they differ by country were reviewed. How prevalence and form of psychosocial disability differ across the following demographic characteristics: gender, age, religion, ethnic group was addressed. The state of provision, both state and non-state, for those with psychosocial disabilities in these countries, and variation of eligibility and access to provision/services across demographics (e.g. age, gender, religion or ethnic group) were also considered.

This study is an offshoot of the joint project of the Philippine Institute for Development Studies and the Institute of Developing Economies that focuses on the health conditions of PWDs, both adult women and children, in Mandaue City and San Remigio, Cebu, Philippines. Using primary data collected through survey and key informant interviews with various stakeholders, the study highlights the lack of access to appropriate services for PWDs and that out-of-pocket expenditures on health cover a significant portion of their income

DP 2017-60

Purpose: Based on a sample of employees with disability, this study aimed to: (1) evaluate the construct validity of work ability index (WAI), core self-evaluation scale (CSES) and job in general index (JIG), in order to make a valid and reliable assessment of their work ability, job satisfaction and core self-evaluation; (2) assess their levels of work ability, job satisfaction, and core self-evaluation; (3) investigate the associations of work ability with job satisfaction and core self- evaluation among them; and, (4) determine which demographic characteristics significantly affect the work ability of employees with disability.

Methods: The sample consisted of 275 employees with disability. Data was collected using a self-administered survey.The analysis focussed on: (1) CFA- for evidence of the construct validity of the employed scales; (2) Descriptive analysis - for evaluating the variables of the study; (3) Pearson correlation analysis – for understanding the simple correlation between variables of the study; and, (4) One-way ANOVA- for identifying the demographic factors that influence the work ability of employees with disability.

Results: The findings indicated that 29.5% of the participants had poor levels of work ability, while 35.3% reported moderate levels of work ability. Also, 49.1% of the participants reported moderate levels of core self-evaluation, and 70.5% exhibited high job satisfaction. In this study, work ability was found to be associated with core self-evaluation and job satisfaction. Significant differences in work ability levels were found in terms of age, level of education and employment status of the respondents.

Conclusion: Work ability among employees with disabilities did not seem to be influenced merely by individual health status. Attitudinal and dispositional factors appeared to have a significant impact on their levels of work ability. Thepotential positive impact of education and employment status on employees’ levels of work ability are highlighted in this study.