Barriers experienced by people with disabilities participating in income-generating activities. A case of a sheltered workshop in Bloemfontein, South Africa

Machine-Learning-Aided Self-Powered Assistive Physical Therapy Devices

An expanding elderly population and people with disabilities pose considerable challenges to the current healthcare system. As a practical technology that integrates systems and services, assistive physical therapy devices are essential to maintain or to improve an individual's functioning and independence, thus promoting their well-being. Given technological advancements, core components of self-powered sensors and optimized machine-learning algorithms will play innovative roles in providing assistive services for unmet global needs. In this Perspective, we provide an overview of the latest developments in machine-learning-aided assistive physical therapy devices based on emerging self-powered sensing systems and a discussion of the challenges and opportunities in this field.

Barriers to and facilitators of employment of persons with disabilities in low- and middle-income countries: A scoping review

BACKGROUND

Unemployment rates for persons with disabilities in low- and middle-income countries (LMICs) are high. This is despite the call to action by the United Nations Convention on the Rights of Persons with Disabilities and Sustainable Development Goals aimed at improving the economic well-being of the marginalised. To improve the employment outcomes of persons with disabilities in these countries, factors that facilitate and hinder employment should be explored.

OBJECTIVES

This study explored barriers to and facilitators of employment for persons with disabilities in LMICs through a scoping review.

METHODS

A search strategy included a systematic search of nine databases using specific keywords. The International Classification of Functioning, Disability and Health (ICF) framework was used as a conceptual framework and barriers and facilitators were reported according to the domains of the ICF. Articles published between 2008 and 2020 were reviewed using a predefined criteria.

RESULTS

Thirty-two studies were identified in the review. Factors were identified in all domains of the ICF: (1) body function and body structure (12; 39%); (2) activities and participation (13; 42%); (3) personal factors (23; 74%); (4) environmental factors (27; 84%).

CONCLUSION

Factors that hinder and facilitate the participation of persons with disabilities in LMICs were mainly found in the environment, with personal factors also influencing participation. The presence of negative attitudes and lack of services mainly in health and transport were major factors within the environment whilst personals factors included the lack of educational qualifications and skills. These results indicate the importance of consideration of contextual factors when developing intervention strategies aimed at facilitating the employment of persons with disabilities in LMICs.