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<https://discovery.ucl.ac.uk/id/eprint/10141189> <http://purl.org/dc/terms/title> "Measuring assistive technology supply and demand: A scoping review"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10141189> <http://purl.org/ontology/bibo/abstract> "The supply of and market demand for assistive products (APs) are complex and influenced by diverse\r\nstakeholders. The methods used to collect AP population-level market data are similarly varied. In this\r\npaper, we review current population-level AP supply and demand estimation methods for five priority APs\r\nand provide recommendations for improving national and global AP market evaluation.\r\nAbstracts resulting from a systematic search were double-screened. Extracted data include WHO world\r\nregion, publication year, age-groups, AP domain(s), study method, and individual assessment approach.\r\n497 records were identified. Vision-related APs comprised 65% (n = 321 studies) of the body of\r\nliterature; hearing (n = 59), mobility (n = 24), cognitive (n = 2), and studies measuring multiple domains\r\n(n = 92) were proportionately underrepresented. To assess individual AP need, 4 unique approaches were\r\nidentified among 392 abstracts; 45% (n = 177) used self-report and 84% (n = 334) used clinical evaluation.\r\nStudy methods were categorized among 431 abstracts; Cross-sectional studies (n = 312, 72%) and\r\nsecondary analyses of cross-sectional data (n = 61, 14%) were most common. Case studies illustrating\r\nall methods are provided.\r\nEmploying approaches and methods in the contexts where they are most well-suited to generate\r\nstandardized AP indicators will be critical to further develop comparable population-level research\r\ninforming supply and demand, ultimately expanding sustainable access to APs."^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10141189> <http://purl.org/dc/terms/date> "2021-12-01" .
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