Evidence map›Paper›PMID 40379339›Full record

ArticleBMJ open2025

Epidemiology of disability and access to disability support and rehabilitation services in India: a secondary data analysis of the National Sample Survey (2018).

Moonis Mirza, Vandana Esht, Madhur Verma, Bajarang Bahadur, Ajit Kumar Jaiswal, Manoj Alagarajan, Rakesh Kakkar

Abstract read
In one paragraph

Article in BMJ open, 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
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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

7 authors.

Moonis Mirza *Department of Hospital Administration, All India Institute of Medical Sciences Bathinda, Bathinda, Punjab, India.
Vandana Esht *Physical Therapy Department, College of Nursing and Health Sciences Jazan University, Jazan, Saudi Arabia.
Madhur Verma *Department of Community & Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, Punjab, India drmadhurverma@gmail.com.ORCID http://orcid.org/0000-0002-1787-8392
Bajarang Bahadur *Center of Biostatistics, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Ajit Kumar JaiswalDepartment of Fertility and Social Demography, International Institute for Population Sciences, Mumbai, Maharastra, India.
Manoj AlagarajanDepartment of Fertility and Social Demography, International Institute for Population Sciences, Mumbai, Maharastra, India.
Rakesh KakkarDepartment of Community & Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to examine the epidemiology of disability in India and assess access to disability support and rehabilitation services by people with disability (PWD).

designThis study is a secondary analysis of data from the 76th round of the National Sample Survey (2018), focusing on disability in India.

settingThe survey employed a stratified two-stage sampling design based on Census 2011, covering all states and union territories of India. Villages and urban blocks were selected in the first stage, while households were chosen in the second stage across rural and urban areas.

participantsThe survey included data from a population of 576 796 individuals residing in 118 152 households from 8992 village/urban blocks (5378 rural villages and 3614 urban blocks). The analysis focused on 107 125 individuals (61 707 male and 45 305 female) who reported at least one disability. OUTCOME MEASURES: The primary outcome was 'any disability'. Secondary outcomes included access to disability support and rehabilitation services, which assessed difficulties in accessing public buildings and transport, loss of employment after disability, availability of government support, enrolment in special schools, and possession of a disability certificate.

resultsThe overall weighted disability prevalence was 2.2%, with significant disparities across sociodemographic characteristics. Among PWD, 45.9% of those who acquired disability after birth were aged between 15 years and 59 years, and 20.8% received no government aid. About 40% of PWD struggled to use public transport, and 57.7% had difficulties accessing public buildings. Additionally, 60.7% reported job loss due to disability, and 69.6% lacked a disability certificate.

conclusionThis study highlights disparities faced by PWD in accessing disability support and rehabilitation services. There is an urgent need for concerted efforts to minimise such experiences. This will help us enhance the well-being and participation of PWD and empower them to contribute to society with their true potential.

Indexed as

Health Services AccessibilityPersons with DisabilitiesAdolescentAdultAgedChildChild, PreschoolFemaleHumansIndiaInfantMaleMiddle AgedPrevalenceRural PopulationSecondary Data AnalysisDisabled PersonsHealth EquityPUBLIC HEALTH

Identifiers

PMID40379339
PMCPMC12083387

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