Publications

Purpose

Explicitly monitoring the need, use and satisfaction of assistive product (AP) provision is essential to support population health and healthy longevity in ageing/aged countries, like Korea. We present findings from the 2017 Korea National Disability Survey (NDS) on AP access and compare them to international averages, introducing Korea’s data into the wider coherence of global AP research.

Materials and methods

Using data from Korea’s 2017 NDS, surveying 91,405 individuals, we extracted and calculated AP access indicators, including needing, having, using and being satisfied with 76 unique APs, by functional difficulty and product type. We compared satisfaction and unmet need between the National Health Insurance System (NHIS) and alternative provision services.

Results

Prosthetics and orthotics had high rates of under-met need, and lower satisfaction rates, from 46.9% to 80.9%. Mobility APs overall had higher rates of under-met need. There was either low (<5%) or no reported need for most digital/technical APs. Among main products, those provided through the NHIS had lower unmet need (26.4%) than through alternative providers (63.1%), though satisfaction rates were similar (p < .001).

Conclusions

The Korean survey findings align with global averages calculated in the Global Report on Assistive Technology. Low reported needs for certain APs may reflect low awareness about how these products could benefit users, emphasizing the importance of data collection at each stage of the AP provision process. Recommendations to expand access to APs are given for people, personnel, provision, products, and policy.

Implications for rehabilitation

• Access to assistive products (APs) is an essential part of physical and occupational therapy services and rehabilitation. Monitoring population-level data on disability and AP access can inform policymakers about a key aspect of population health and healthy ageing, and demonstrate the need to expand access by including APs and associated services in primary/universal healthcare packages.
• Stratifying findings about AP access by type of functional difficulty and further by specific device helps identify the populations for whom needs are not being met. These domain-level and device-level indicators inform efforts to support specific groups within the population of people with disabilities, which has implications for how rehabilitation services are provisioned, targeted and made more accessible.

Jamie Danemayer & Myung-Joon Lim (2023)

Assistive technology in Korea: Findings from the 2017 National Disability Survey, Disability and Rehabilitation: Assistive Technology,

DOI: 10.1080/17483107.2023.2225565

Disability stigma in many low- and middle-income countries represents one of the most pervasive barriers preventing people with disabilities from accessing equal rights and opportunities, including the uptake of available assistive technology (AT). Previous studies have rarely examined how disability stigma may be shaped through factors endemic to social interactions, including how the use of assistive technology itself may precipitate or alleviate disability stigma. Through two strands of work, we address this gap. Via a series of focus groups with Kenyans without disabilities (Study 1) and secondary data analysis of consultations with Kenyans with disabilities and their allies (Study 2), we identify shared and divergent understandings of what shapes disability stigma and discrimination. Specifically, Kenyans with and without disabilities were cognizant of how religious/spiritual interpretations of disability, conceptions of impairments as “different” from the norm, and social stereotypes about (dis)ability shaped the experience of stigma and discrimination. Moreover, both groups highlighted assistive technology as an influential factor that served to identify or “mark” someone as having a disability. However, whereas participants without disabilities saw assistive technology purely as an enabler to overcome stigma, participants with disabilities also noted that, in some cases, use of assistive technologies would attract stigma from others.

Barbareschi G, Carew MT, Johnson EA, Kopi N, Holloway C. “When They See a Wheelchair, They’ve Not Even Seen Me”—Factors Shaping the Experience of Disability Stigma and Discrimination in Kenya. International Journal of Environmental Research and Public Health. 2021; 18(8):4272. https://doi.org/10.3390/ijerph...

Living in informality is challenging. It is even harder when you have a mobility impairment. Traditional assistive products such as wheelchairs are essential to enable people to travel. Wheelchairs are considered a Human Right. However, they are difficult to access. On the other hand, mobile phones are becoming ubiquitous and are increasingly seen as an assistive technology. Should therefore a mobile phone be considered a Human Right? To help understand the role of the mobile phone in contrast of a more traditional assistive technology – the wheelchair, we conducted contextual interviews with eight mobility impaired people who live in Kibera, a large informal settlement in Nairobi. Our findings show mobile phones act as an accessibility bridge when physical accessibility becomes too challenging. We explore our findings from two perspective – human infrastructure and interdependence, contributing an understanding of the role supported interactions play in enabling both the wheelchair and the mobile phone to be used. This further demonstrates the critical nature of designing for context and understanding the social fabric that characterizes informal settlements. It is this social fabric which enables the technology to be useable.

Giulia Barbareschi, Ben Oldfrey, Long Xin, Grace Nyachomba Magomere, Wycliffe Ambeyi Wetende, Carol Wanjira, Joyce Olenja, Victoria Austin, and Catherine Holloway. 2020. Bridging the Divide: Exploring the use of digital and physical technology to aid mobility impaired people living in an informal settlement. In Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20). Association for Computing Machinery, New York, NY, USA, Article 50, 1–13. https://doi.org/10.1145/337362...

The supply of and market demand for assistive products (APs) are complex and influenced by diverse stakeholders. The methods used to collect AP population-level market data are similarly varied. In this paper, we review current population-level AP supply and demand estimation methods for five priority APs and provide recommendations for improving national and global AP market evaluation. Abstracts resulting from a systematic search were double-screened. Extracted data include WHO world region, publication year, age-groups, AP domain(s), study method, and individual assessment approach.497 records were identified. Vision-related APs comprised 65% (n = 321 studies) of the body of literature; hearing (n = 59), mobility (n = 24), cognitive (n = 2), and studies measuring multiple domains (n = 92) were proportionately underrepresented. To assess individual AP need, 4 unique approaches were identified among 392 abstracts; 45% (n = 177) used self-report and 84% (n = 334) used clinical evaluation. Study methods were categorized among 431 abstracts; Cross-sectional studies (n = 312, 72%) and secondary analyses of cross-sectional data (n = 61, 14%) were most common. Case studies illustrating all methods are provided. Employing approaches and methods in the contexts where they are most well-suited to generate standardized AP indicators will be critical to further develop comparable population-level research informing supply and demand, ultimately expanding sustainable access to APs.

Jamie Danemayer, Dorothy Boggs, Emma M. Smith, Vinicius Delgado Ramos, Linamara Rizzo Battistella, Cathy Holloway & Sarah Polack (2021) Measuring assistive technology supply and demand: A scoping review, Assistive Technology, 33:sup1, S35-S49, DOI: 10.1080/10400435.2021.1957039

Globally persons with disabilities have lower employment rates compared to the general population due to systemic barriers particularly in the formal sector. In developing countries, 80 percent to 90 percent of people with disabilities of working age are unemployed. There has been limited research in low-income and middle-income countries focused on the barriers to access and retain formal employment for persons with disabilities. The aim of this paper, based on desk research, is to analyse the barriers to access and retain formal employment of persons with disabilities which are framed in three categories according to where the barriers primarily manifest: 1. In the workplace among employers and co-workers without disabilities, 2. Among persons with disabilities seeking or engaged in formal employment and 3. In the wider social, physical and policy environment. Although the study mainly focuses on Kenya and Bangladesh other countries’ literature on access to and retention of employment of persons with disabilities were reviewed where relevant. In the current context where the global pandemic is breaking barriers to remote working one part of the solution will be to empower persons with disabilities with appropriate access to Information and Communication Technology, assistive devices and services, digital skills, creating more accessible and inclusive digital platforms for persons with disabilities which also hold the potential to improve working conditions and productivity for the whole workforce as well as enhancing resilience to potential future shocks.

Jahan & Holloway, 2020, Barriers to Access and Retain Formal Employment for Persons with Disabilities in Bangladesh and Kenya, GDI Hub Working Paper Series Issue 01

Posterior Cortical Atrophy is a rare but significant form of dementia which affects people's visual ability before their memory. This is often misdiagnosed as an eyesight rather than brain sight problem. This paper aims to address the frequent, initial misdiagnosis of this disease as a vision problem through the use of an intelligent, cost-effective, wearable system, alongside diagnosis of the more typical Alzheimer's Disease. We propose low-level features constructed from the IMU data gathered from 35 participants, while they performed a stair climbing and descending task in a real-world simulated environment. We demonstrate that with these features the machine learning models predict dementia with 87.02% accuracy. Furthermore, we investigate how system parameters, such as number of sensors, affect the prediction accuracy. This lays the groundwork for a simple clinical test to enable detection of dementia which can be carried out in the wild.