Evidence map›Paper›PMID 40384834›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Access to Disability-related Healthcare among People with Visual Disability in India: Evidence from a National Sample Survey.

Ashok Kumar, Praveena Tandon, Gaurav Meratwal

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Ashok KumarDepartment of Community Medicine, JLN Medical College, Ajmer, Rajasthan, India.
Praveena TandonDepartment of Ophthalmology, Govt Bangur Hospital, Didwana, Rajasthan, India.
Gaurav MeratwalDepartment of Community Medicine, JLN Medical College, Ajmer, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite progress, there are still gaps and inequalities in achieving universal health coverage (UHC), particularly among marginalized populations such as people with visual disability (VD). This study aimed to evaluate access to disability-related healthcare among people with VD in India. Methods: Data from the Survey of Persons with Disabilities in India, the 76 Results: The prevalence of VD in the general population was 0.23%. About 15% of people with VD did not have access to healthcare for disability. Access was lower in the older age group (Adjusted Odds Ratio (AOR) =0.68) than in the younger age group, females (AOR = 0.89), persons with low literacy (AOR = 0.72), low consumption expenditure (AOR = 0.60), and people belonging to the scheduled tribes (STs) (AOR = 0.57). Affordability was the leading reason for poor accessibility. About 55% of people with VD had zero out-of-pocket expenditure (OOPE), 35.8% had monthly OOPE below INR 1000, and 1.3% had monthly OOPE INR >5000. Conclusion: The study found gaps in access to healthcare in people with VD in India. This population is falling behind in the core elements of UHC, i.e. affordability and inequality. India should adopt a comprehensive strategy that includes age-specific interventions, improved rural access, measures for socioeconomic equity, gender sensitivity, and expanded public health insurance coverage and social security schemes for people with VD.

Indexed as

Blindnesshealth services for persons with disabilitiesuniversal health coveragevision disordersvisually impaired persons

Identifiers

PMID40384834
PMCPMC12080909

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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.