Assistive technology access in longitudinal datasets: a global review.

Int J Popul Data Sci

London School of Hygiene and Tropical Medicine, Dept. Health Services Research and Policy. Keppel St. WC1E 7HT, London, UK.

Published: September 2023

AI Article Synopsis

  • * A review identified data from 47 cohorts and 62 surveys globally, mostly from high-income countries, with a focus on AT access since 2009, emphasizing that many cohorts exclude participants with pre-existing support needs.
  • * The most common indicators for AT access are usage rates, with glasses and hearing aids being the most frequently collected types of AT, revealing significant gaps in data but also opportunities for better data collection methodologies.

Article Abstract

Functional limitations become more prevalent as populations age, emphasising an increasingly urgent need for assistive technology (AT). Critical to meeting this need trajectory is understanding AT access in older ages. Yet few publications examine this from a longitudinal perspective. This review aims to identify and collate what data exist globally, seeking all population-based cohorts and repeated cross-sectional surveys through the Maelstrom Research Catalogue (searched May 10, 2022) and the Disability Data Report (published 2022), respectively. Datasets incorporating functional limitations modules and question(s) dedicated to AT, with a wave of data collection since 2009, were included. Of 81 cohorts and 202 surveys identified, 47 and 62 meet inclusion criteria, respectively. Over 40% of cohorts were drawn from high-income countries which have already experienced significant population ageing. Cohorts often exclude participants based on pre-existing support needs. For surveys, Africa is the most represented region (40%). Globally, 73% of waves were conducted since 2016. 'Use' is the most collected AT access indicator (69% of cohorts and 85% of surveys). Glasses (78%) and hearing aids (77%) are the most represented AT. While gaps in data coverage and representation are significant, collating existing datasets highlights current opportunities for analyses and methods for improving data collection across the sector.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448602PMC
http://dx.doi.org/10.23889/ijpds.v8i1.1901DOI Listing

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