Danemayer, Jamie, Boggs, Dorothy, Smith, Emma M., Ramos, Vinicius Delgado, Battistella, Linamara Rizzo, Holloway, Cathy and Polack, Sarah (2021) Measuring assistive technology supply and demand: A scoping review. Assistive Technology, 33 (sup1). S35-S49. ISSN 1040-0435
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Abstract
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.
Item Type: | Article |
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Keywords: | assessment; auditory impairment; mobility; outcomes; service delivery; visual impairment; |
Academic Unit: | Faculty of Science and Engineering > Psychology |
Item ID: | 18671 |
Identification Number: | 10.1080/10400435.2021.1957039 |
Depositing User: | Emma Smith |
Date Deposited: | 20 Jun 2024 09:26 |
Journal or Publication Title: | Assistive Technology |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/18671 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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