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There is growing evidence that COVID-19 is disproportionally impacting the lives of people with disabilities. This includes evidence of the increased risk of severe outcomes of contracting COVID-19 amongst people with existing health conditions, including many people with disabilities. It also includes a wide range of other potential impacts such as: reductions or disruptions in non-COVID-19 health or rehabilitation services, the effects of shielding on isolation and mental health, the implications of social distancing on people who require carer support, and the impact on poverty, participation and wellbeing due to disrupted disability-inclusive development programmes.

Measurement of disability in research has historically been contested and a number of different tools exist. Clear guidance is needed on how to determine which tool to use to understand the situation of people with disabilities in different settings, and plan responsive and inclusive COVID-19 programmes and policies to support their needs. Good quality, comparable data on disability is essential for tracking the impact of the COVID-19 pandemic, as well as prevention and mitigation interventions, amongst people with disabilities. Such evidence is also imperative for tracking progress towards the Sustainable Development Goals, and UNCRPD compliance.

This evidence brief synthesises findings from a scoping review of ICF-compatible tools to measure disability in population-based surveys with a focus on LMICs (2018), protocols and research outputs from seven population-based surveys of disability across Asia, Africa and the Pacific, secondary analyses of the South African Census, US National Health Interview Survey and three Demographic and Health Surveys, reflections from global stakeholders in disability measurement (including the UN Flagship Report on Disability), and evidence compiled for the upcoming Global Disability Research Massive Open Online Course at the London School of Hygiene & Tropical Medicine

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.

Previous phases of trachoma mapping in Pakistan completed baseline surveys in 38 districts. To help guide national trachoma elimination planning, this work was carried out to estimate trachoma prevalence in 43 suspected-endemic evaluation units (EUs) of 15 further districts. A population-based trachoma prevalence survey was planned for each EU. Two-stage cluster sampling was employed, using the systems and approaches of the Global Trachoma Mapping Project.

Ophthalmic Epidemiol. 2020 Apr;27(2):155-164

doi: 10.1080/09286586.2019.1708120

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

Background: There is increasing interest in the collection of globally comparable disability data. Context may influence not only the rates but also the nature of disability, thus locally collected data may be of greater use in service delivery planning than national surveys.

Objectives: The objective of this article was to explore the extent to which two areas, both under-resourced but geographically and socially distinct, differed in terms of the prevalence and patterns of disability.

Method: A cross-sectional descriptive survey design was utilised, using stratified cluster sampling in two under-resourced communities in the Western Cape, South Africa. Nyanga is an informal urban settlement in Cape Town and Oudtshoorn is a semi-rural town. The Washington Group Short Set of questions was used to identify persons with disabilities (PWD), and a self-developed questionnaire obtained socio-demographic information.

Results: The overall prevalence of disability was 9.7% (confidence intervals [CIs] 9.7–9.8) and the proportion of PWD was significantly different between the two sites (Chi-Sq = 129.5, p < 0.001). In the urban area, the prevalence rate of any disability was 13.1% (CIs 12.0–14.3) with 0.3% (CIs 0.1–0.6) reporting inability to perform any function at all. In contrast, the semi-rural community had a lower overall prevalence rate of 6.8% (CIs 6.0% – 7.8%) but a higher rate of those unable to perform any function: 1% (CIs 0.07–1.4). Disability was associated with gender, age, unemployment and lower income status in both areas.

Conclusion: Deprived areas tend to show higher disability prevalence rates than the National Census estimates. However, the discrepancy in prevalence and patterns of disability between the two under-resourced areas indicates the need for locally specific data when planning health interventions.

African Journal of Disability, Vol 8, 2019

Background identification of children at risk of developmental delay and/or impairment requires valid measurement of early child development (ECD). ECD measurement tools were systematically assessed for accuracy and feasibility for use in routine services in low income and middle-income countries (LMIC).

Building on World Bank and peer-reviewed literature reviews, available ECD measurement tools for children aged 0–3 years used in ≥1 LMIC were identified and matrixed according to when (child age) and what (ECD domains) they measure at population or individual level. Tools measuring <2 years and covering ≥3 developmental domains, including cognition, were rated for accuracy and feasibility criteria using a rating approach derived from Grading of Recommendations, Assessment, Development and Evaluations

Purpose: Determine the association of different social factors with Functional Capacity Evaluation (FCE) performance in adults.

Materials and methods: A systematic literature search was performed in MEDLINE, CINAHL, and PsycINFO electronic databases. Studies were eligible if they studied social factor’s association with the performance of adults undergoing FCE. Studies were assessed on methodological quality and quality of evidence. The review was performed using best-evidence synthesis methods.

Results: Thirteen studies were eligible and 11 social factors were studied. Considerable heterogeneity regarding measurements, populations, and methods existed among the studies. High quality of evidence was found for the association of FCE performance with the country of FCE and examiner’s fear behavior; moderate quality of evidence with previous job salary; and low or very low quality of evidence with compensation status, litigation status, type of instruction, time of day (workday), primary or mother language, and ethnicity. Other social factors were not studied.

Conclusions: Evidence for associations of various social factors with FCE performance was found, but robust conclusions about the strength of the associations cannot be made. Quality of evidence ranged from high to very low. Further research on social factors, also within a biopsychosocial context, is necessary to provide a better understanding of FCE performance.

This report considers the progress being made to achieve older people's right to health amid the global drive towards universal health coverage. It explores how older people are currently accessing health services and what changes need to be made to improve on this. It considers the role of data in driving and informing changes to health systems and the services they deliver. Data must be collected with and about older people to ensure adequate evidence for service design and delivery that is targeted and appropriate. This report explores the adequacy of current data systems and collection mechanisms and how, alongside health systems, they must be adapted in an ageing world. 

This report is supported by 12 country profiles (for Argentina, Colombia, El Salvador, Kenya, Lebanon, Moldova, Myanmar, Pakistan, Serbia, Tanzania, Vietnam and Zimbabwe; see Appendix 1). These provide national information on trends in the physical and mental health status of older people, and population-level information on access to UHC. The profiles are supplemented by data mapping, showing the national data available on older people’s health in the 12 profile countries, and revealing the data gaps. The data mapping results are available at www.GlobalAgeWatch.org.

The aim of this study was to estimate the prevalence of disability and compare the well-being and access to the community between people with and without disabilities. A population-based survey was undertaken in District 2 of Quezon City and in Ligao City. 60 clusters of 50 people aged 18 years and older were selected with probability proportion to size sampling from both locations. The Rapid Assessment of Disability (RAD) survey was used to identify people with disabilities based on their responses to activity limitations. The levels of well-being and access to the community for people with disabilities were compared with controls matched by age, gender, and cluster. Information on barriers to accessing the community was also collected.

Popul Health Metrics 14, 26 (2016)

DOI 10.1186/s12963-016-0096-y