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METHODS article

Front. Rehabil. Sci.

Sec. Disability, Rehabilitation, and Inclusion

Volume 6 - 2025 | doi: 10.3389/fresc.2025.1650693

This article is part of the Research TopicAssistive Technology and Universal Health Coverage: Clinical and Educational ChallengesView all 3 articles

Assessing Assistive Technology Needs, Unmet Demands, Barriers, and Gaps in the Indian Population: A Protocol for Large Epidemiological Survey

Provisionally accepted
Ashoo  GroverAshoo Grover1Hitesh  K SharmaHitesh K Sharma1Ravindra Mohan  PandeyRavindra Mohan Pandey1Ruchir  MalikRuchir Malik1Salaj  RanaSalaj Rana1Manisha  PandaManisha Panda1Geeta  RaniGeeta Rani1Sunanda  DebSunanda Deb1Shubhendu  SinghShubhendu Singh1Akash  .Akash .1Daanish  .Daanish .2Anjali  BajajAnjali Bajaj3Rupinder  S DhaliwalRupinder S Dhaliwal1Ravinder  SinghRavinder Singh4*
  • 1Indian Council of Medical Research, New Delhi, India
  • 2Armed Forces Medical College, Pune, India
  • 3Health and Family Welfare Department, Government of Himachal Pradesh, Shimla 171002, India
  • 4Indian Council of Medical Research - Centre for Ageing and Mental Health, Kolkata, India

The final, formatted version of the article will be published soon.

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.

Keywords: Assistive Technology, Epidemiological survey, WHO-rATA tool, access, Unmetneeds

Received: 07 Jul 2025; Accepted: 26 Aug 2025.

Copyright: © 2025 Grover, Sharma, Pandey, Malik, Rana, Panda, Rani, Deb, Singh, ., ., Bajaj, Dhaliwal and Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ravinder Singh, Indian Council of Medical Research - Centre for Ageing and Mental Health, Kolkata, India

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