Evidence map›Paper›PMID 42388680›Full record

ArticleThe Lancet regional health. Southeast Asia2026

Assistive technology unmet need and barriers to access in Sri Lanka: a mixed-methods study (2024).

Dilisha Patel, Jamie Danemayer, Pavithra Jayawardena, Hasintha Wijesekara, Nadeesh de Silva, Maria Kett, Victoria Austin

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dilisha PatelGlobal Disability Innovation Hub, Department of Computer Science, University College London, London, UK.
Jamie DanemayerGlobal Disability Innovation Hub, Department of Computer Science, University College London, London, UK.
Pavithra JayawardenaDepartment of International Relations, University of Colombo, Colombo, Sri Lanka.
Hasintha WijesekaraDepartment of Natural Resources, Sabaragamura University of Sri Lanka, Balangoda, Sri Lanka.
Nadeesh de SilvaDepartment of Legal Studies, Open University of Sri Lanka, Colombo, Sri Lanka.
Maria KettDepartment of Epidemiology and Public Health, University College London, London, UK.
Victoria AustinGlobal Disability Innovation Hub, Department of Computer Science, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assistive technology (AT) access supports functional abilities and is considered a crucial component in aged care planning. To address the research gap with respect to AT use, unmet need, and access barriers in Sri Lanka, this study was undertaken using a mixed methods approach. Methods: Using WHO tools, the government of Sri Lanka undertook a country capacity Assistive Technology Assessment (ATA-C) in combination with the rapid Assistive Technology Assessment (rATA) survey in 2024. The rATA consisted of a nationally representative household survey including all household members greater than 2 years of age to estimate AT use, need, and unmet need, while the ATA-C guided qualitative data collection through 26 key informant interviews and six focus group discussions. Logistic regression tested the association of demographic variables with AT access indicators in weighted survey data, producing odds ratios and predicted prevalences. Qualitative data were analysed using reflexive thematic analysis, to understand access barriers. An adapted Delphi method was adopted to build consensus on the recommendations during the final stakeholder workshop. Findings: An estimated 35.2% (95% CI 33.9-36.6) of the study population experienced functional difficulty; 18.1% (16.9-19.3) reported using AT, while 16.4.% (15.4-17.6) reported unmet AT needs, with higher unmet need among older adults, females, and rural and estate residents. Key barriers included cost, information/awareness gaps, sociocultural/environmental factors, and provision/coordination challenges, which differentially impacted groups within the population. Interpretation: Age, sex, and setting were associated with AT access disparities. Their interaction and relationship to systemic barriers must be considered alongside population ageing to create equitable AT policies. Funding: Asian Development Bank.

Indexed as

AgeingAssistive technologyDisabilityMixed-methods

Identifiers

PMID42388680
PMCPMC13320440

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.