At the Seventy-first World Health Assembly, the World Health Assembly passed a resolution: WHA71.8. Improving access to assistive technology.
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This document provides a practical approach for integrating stroke services in health-care systems.

The first section of this publication introduces the Sustainable Development Goals (SDGs), universal health coverage, and the WHO Global Action Plan for the Prevention and Control of NCDs 2013–2020, and presents
global statistics for non communicable diseases. The second section presents the methodology used to select priority medical devices for the clinical…

This report presents the results from a survey of 676 program participants who were treated in 46 MiracleFeet supported hospitals and clinics in Tanzania and Sri Lanka. The program implemented the Ponseti method to manage congenital talipes equino varue (CTEV).

This evidence-based document is based on best practice guidelines initially developed through a joint collaboration between Sightsavers International, the London School of Hygiene and Tropical Medicine and the Brien Holden Vision Institute. Various organisations have also contributed to this document’s revisions, including the Fred Hollows Foundation, World Council…

In December 2019, the Department of Health (Department) engaged Australian Healthcare Associates (AHA) to undertake a Review of Assistive Technology (AT) programs in Australia. This is the final report for the Review.

This report from 2022 provides a snapshot of challenges and wishes of 1,035 individuals providing support to AT users who are blind, have low vision, or are deafblind, many of whom have additional disabilities.

A competence framework for trainers supporting the digital inclusion of persons with disabilities and older citizens.

It is a free database of over 65,000 trials, reviews and guidelines evaluating physiotherapy interventions.

This report maps the various AI Assistive Technologies that improve accessibility for persons with disabilities in Africa and analyses the challenges impeding the development and adoption of these ATs in Africa, including the lack of representative datasets to train AI models, proper policy safeguards, digital skills gaps, and lack of funding for AT projects. Finally…