Evidence map›Paper›PMID 41293425›Full record

ReviewFrontiers in rehabilitation sciences2025

Global practices in AT provision: considerations for a national assistive technology policy for health in India.

Rakesh K Srivastava, Hitesh K Sharma, Ashoo Grover, Ruchir Malik, Ravinder Singh

Abstract readReview
In one paragraph

Review 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Rakesh K SrivastavaNational Institute of Health and Family Welfare, New Delhi, India.
Hitesh K SharmaIndian Council of Medical Research, New Delhi, India.
Ashoo GroverIndian Council of Medical Research, New Delhi, India.
Ruchir MalikIndian Council of Medical Research, New Delhi, India.
Ravinder SinghIndian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional impairment refers to limitations in performing basic activities necessary for independent living, mobility, communication or social participation. Meeting the needs of people with functional impairments is an essential part of strengthening India's health system. Present article is an attempt to cover the individuals with functional impairments under proposed Health Policy on AT, which otherwise have inadequate attention in existing public health policies, acts, and laws. Assistive technologies (AT), such as wheelchairs, white canes, hearing aids, spectacles, prosthetic limbs, communication boards, memory aids, adapted writing tools, and self-care devices, play a vital role in improving functionality, enhancing quality of life, and enabling participation in education, employment, and community activities. Based on wide range of articles reviewed from the countries with best provisioning models on AT, present health policy article proposes recommendations for a comprehensive inclusive National AT Policy for India. The policy considerations emphasize legal entitlements, sustainable financing, equitable access, integration into health systems, digital inclusion, localized manufacturing, and cross-sector collaboration. Implementing assistive technology policy is not only essential to improve public health outcomes, but also for achieving the Sustainable Development Goals by 2030 and realizing India's vision of "Viksit Bharat" by 2047.

Indexed as

assistive technologyhealth policyinclusive health systemspublic healthuniversal health coverage

Identifiers

PMID41293425
PMCPMC12640990

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.