Evidence map›Paper›PMID 41030647›Full record

ArticleFrontiers in rehabilitation sciences2025

Assessing assistive technology needs, unmet demands, barriers, and gaps in the Indian population: a protocol for large epidemiological survey.

Ashoo Grover, Hitesh K Sharma, Ravindra M Pandey, Ruchir Malik, Salaj Rana, Manisha Panda, Geeta Rani, Sunanda Deb, Shubhendu Singh, Akash and 4 more

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

14 authors.

Ashoo Grover *Indian Council of Medical Research, New Delhi, India.
Hitesh K Sharma *Indian Council of Medical Research, New Delhi, India.
Ravindra M PandeyIndian Council of Medical Research, New Delhi, India.
Ruchir MalikIndian Council of Medical Research, New Delhi, India.
Salaj RanaIndian Council of Medical Research, New Delhi, India.
Manisha PandaIndian Council of Medical Research, New Delhi, India.
Geeta RaniIndian Council of Medical Research, New Delhi, India.
Sunanda DebIndian Council of Medical Research, New Delhi, India.
Shubhendu SinghIndian Council of Medical Research, New Delhi, India.
AkashIndian Council of Medical Research, New Delhi, India.
DaanishArmed Forces Medical College, Pune, India.
Anjali BajajHealth and Family Welfare Department, Government of Himachal Pradesh, Shimla, India.
Rupinder S DhaliwalIndian Council of Medical Research, New Delhi, India.
Ravinder SinghDivision of Non-Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the critical role of assistive technologies (AT) in supporting individuals with functional impairments, there is limited information on AT needs and barriers across India's diverse regions. To fill this gap, we have designed a detailed survey protocol to gather nationally representative data on AT need, unmet need and satisfaction. Methods: A cross-sectional survey of 180,000 individuals (30,000 per region) across six regions i.e., North, South, East, West, Central, and North-East India will be conduct. Districts will be purposively selected to capture geographic diversity and institutional capacity; within each selected district, villages and urban wards will be chosen with probability proportional to size and households will then be selected by systematic random sampling. All members of each sampled household will be interviewed with the digital WHO Rapid Assistive Technology Assessment (rATA) tool, after staff complete standard training program; data quality will be ensured through real-time database checks, supervisory cross-checks, and monthly audits by the ICMR coordinating team. Analysis: We will estimate prevalence of AT need, unmet need, and satisfaction with 95 percent confidence intervals using univariate and multivariate logistic regression to identify associated factors. Sampling weights and sensitivity analyses will adjust and compare estimates. Discussion: This protocol describes the largest AT needs survey ever conducted in South-East Asia. The data generated will provide crucial evidence to guide India's national AT strategy. By sharing our detailed methodology, we aim to offer a practical framework that other low and middle-income countries can adapt to assess and enhance their own AT services.

Indexed as

accessassistive technologyepidemiological surveyunmet needsWHO-rATA tool

Identifiers

PMID41030647
PMCPMC12477122

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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.