What Works
The What Works project focuses on research related to the AT2030 programme, aiming to answer specific questions and gather insights.
The What Works project cuts across the AT2030 programme and aims to research specific research questions or draw insights from the programme. Previous research supported the research and evidence for the first Global Report on Assistive Technology. It also researched the market shaping and making mechanisms, including the first set of product narratives. It has conducted systematic reviews on digital manufacturing for prosthetics and orthotics alongside other areas of computing research. We have also researched the impact of COVID-19 on assistive technology provision and have developed an initial snapshot of insights taken from all research outputs.
The next phase of AT2030 will start in January 2025. A new research methodology will be employed to code and present insights for funders, entrepreneurs, policymakers, researchers, advocates and assistive technology users. We will also expand the research on the impact of assistive technology to include social justice and support further research on trauma and assistive technology. This sib-programme works closely with the fellowship sub-programme.
Partners
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UCL GDI Hub
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UCL Institute of Making
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UCL Institute for Innovation and Public Purpose
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London School of Hygiene and Tropical Medicine
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University of Maynooth
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University of Nairobi
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ISPO
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WHO
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UNICEF
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CHAI
Publications
Latest
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Development of Priority Assistive Product Lists in Three African Countries: Research Summary
Emma M. Smith, Ikenna D. Ebuenyi, Ying Zhang, Laura LigthartNov. 7, 2024Research SummariesAccess to assistive products (APs) is crucial for the independence of people with disabilities, yet availability is limited, especially in low- and middle-income countries (LMICs). This study compares the development of national AP lists in Malawi, Liberia, and Sierra Leone using the WHO’s 5P model—people, policy, personnel, products, and provision—each country tailoring the model to local needs. Findings emphasize that inclusive policies, trained personnel, and reliable data are essential for improving AP access, providing insights to guide future AP policies and infrastructure in LMICs.