Why Health Inequities Persist for Persons with Disabilities

Persons with disabilities in India face a stark health paradox. Despite often needing more medical attention than the general population, they routinely receive less, experience worse outcomes, and die earlier. These gaps are not caused by impairment itself but by the social, economic, and structural conditions that surround disability. Understanding why these inequities persist is the first step toward dismantling them.

The WHO Global Report on Health Equity for Persons with Disabilities makes this point clearly: poor health outcomes among Divyangjan are largely the result of unfair conditions, not the disability itself. From ableist attitudes in clinics to public health campaigns that overlook accessibility, the barriers stack up across every layer of society.

Socio-structural factors that shape health inequities
Ableism as a system, not just a bias
Poverty and the disability trap
Limited social support and isolation
The gap between legal rights and lived reality
How public health interventions leave Divyangjan behind
Exposure to behavioural risk factors
Exclusion from screening and immunisation
Emergency preparedness blind spots
Healthcare barriers that turn clinics into obstacle courses
Negative attitudes among healthcare providers
Inaccessible facilities and equipment
Insufficient data collection on disability
Why these factors interact rather than add up

Socio-structural factors that shape health inequities

Health inequities rarely have a single cause. They emerge from interlocking social structures that limit opportunity, drain resources, and reinforce exclusion. For persons with disabilities, four structural factors stand out: ableism, poverty, weak social support networks, and the gap between legal rights and lived reality.

Ableism as a system, not just a bias

Ableism is more than personal prejudice. It is a system of historical and contemporary policies, institutions, and societal norms that devalue people with disabilities while treating able-bodied existence as the default. This bias is baked into how schools are designed, how jobs are advertised, how transport is built, and how clinics conduct examinations.

The roots of ableism often lie in the biomedical model of disability, which frames impairment as a deviation from a “normal” body that must be cured or hidden. This framing ignores the social and environmental barriers that disable people in the first place. When a wheelchair user cannot enter a hospital because there are no ramps, the problem is not the wheelchair – it is the building.

Poverty and the disability trap

Disability and poverty reinforce each other. Poverty raises the risk of acquiring a disability through malnutrition, unsafe work, poor maternal care, and limited access to healthcare. In turn, disability often pushes families deeper into poverty through lost wages, caregiving costs, and out-of-pocket medical expenses.

Data from the 2011 Census shows that only 36% of persons with disabilities in India were employed, and 45% were illiterate – figures sharply below national averages. A study using National Family Health Survey data from 2019-21 further confirmed that disability is concentrated among the poorest and least-educated segments of the Indian population, widening overall health disparities.

A cross-sectional study of differently abled adults in Chennai found that the main barriers to healthcare were healthcare expenses, distance to facilities, and lack of family support. When every clinic visit costs a day’s wages plus transport, preventive check-ups become luxuries.

Strong social networks act as informal health insurance. They help with transport, caregiving, emotional support, and navigating bureaucracy. Persons with disabilities often have thinner support networks because of stigma, restricted mobility, and lower rates of marriage and employment. Families themselves may face social withdrawal, particularly in cases of intellectual or psychosocial disabilities.

The result is isolation that affects both mental and physical health. Women with disabilities face an especially heavy burden – they are two to four times more likely to experience intimate partner violence than women without disabilities, and they often face additional barriers to reproductive and sexual healthcare.

The gap between legal rights and lived reality

India has progressive legislation on paper. The Rights of Persons with Disabilities Act, 2016 expanded the recognised categories of disability from 7 to 21, mandated reasonable accommodation, and required public buildings to become accessible. The Mental Healthcare Act, 2017 added further protections for persons with mental illness.

Implementation, however, has lagged. Many entitlements apply only to persons with benchmark disabilities – those certified as having at least 40% of a specified disability – and the certification process itself can be slow, expensive, and gatekept by medical boards. Many states have not appointed Disability Commissioners, and most public buildings, transport systems, and digital platforms remain inaccessible despite legal deadlines having passed.

How public health interventions leave Divyangjan behind

Public health campaigns are designed for the “average” citizen – typically imagined as someone who can walk into a clinic, read a poster, hear a radio announcement, and follow standard exercise advice. When this default excludes persons with disabilities, the consequences ripple into long-term health.

Exposure to behavioural risk factors

The WHO notes that persons with disabilities are more likely to have risk factors for non-communicable diseases, such as smoking, poor diet, alcohol consumption, and a lack of physical activity. This is not a matter of personal failing. Smoking cessation programmes rarely reach segregated schools or sheltered workshops. Nutrition campaigns assume access to a varied diet that many low-income disabled households cannot afford. Physical activity guidelines are written for non-disabled bodies and rarely adapted for wheelchair users, blind persons, or people with chronic pain.

A study in South India found that persons with disabilities had 4.6 times higher risk of suffering from diabetes and 5.8 times higher risk of suffering from depression compared to people without a disability. These are precisely the conditions that public health interventions are designed to prevent – yet the prevention machinery often skips this population.

Exclusion from screening and immunisation

Routine health screenings such as cervical cancer screening, mammography, blood pressure checks, and diabetes screening are often physically inaccessible. Examination tables that do not lower, equipment that requires standing, and information delivered only in print or spoken Hindi leave many persons with disabilities outside the screening net. The same problem affects vaccination drives, antenatal care, and HIV testing.

Health emergencies expose these gaps brutally. During the COVID-19 pandemic, sign language interpretation was rare in official briefings, lockdown rules made movement harder for those who needed caregivers, and home-bound testing was inconsistent. The WHO has emphasised that inclusive public health interventions and equitable health emergency responses are central to achieving universal health coverage, but in practice, disability inclusion is still treated as an optional add-on.

Healthcare barriers that turn clinics into obstacle courses

Even when persons with disabilities seek care, the system frequently fails them at three levels: attitudes, infrastructure, and information.

Negative attitudes among healthcare providers

Studies have documented widespread implicit and explicit bias against patients with disabilities. Providers may speak to a companion instead of the patient, dismiss new symptoms as “part of the disability” (a phenomenon called diagnostic overshadowing), or assume that a person with intellectual disability cannot give informed consent. Research on mental health services found that ableism was identified as a major concern when patients described their experiences in seeking care.

Communication barriers worsen these dynamics. Few doctors are trained to use sign language, easy-read materials, or alternative communication tools. Consent forms are dense and inaccessible. A deaf patient who cannot follow a verbal explanation may leave the clinic with a prescription she does not understand.

Inaccessible facilities and equipment

Physical inaccessibility is a daily reality. Many primary health centres lack ramps, accessible toilets, or wide doorways. Examination tables do not adjust in height. Weighing scales are not designed for wheelchair users. Diagnostic equipment such as mammography machines and dental chairs assume a standing or specifically-postured patient. Even when a hospital is technically accessible, the journey to reach it – through unpaved roads, missing footpaths, and inaccessible public transport – can be the real barrier.

The cumulative effect is severe. A scoping review found that avoidable deaths from causes amenable to good-quality healthcare are far more common among people with intellectual disabilities than in the general population, an inequity driven by health system failures rather than the underlying condition.

Insufficient data collection on disability

What is not measured cannot be managed. India’s data systems still capture disability inconsistently. Census and survey definitions vary, disability is often missing from routine health records, and many national health programmes do not disaggregate outcomes by disability status. This invisibility makes it hard to evaluate whether maternal health schemes, NCD programmes, or immunisation drives are actually reaching Divyangjan.

The NFHS-5 estimated the overall prevalence of disability in India at 0.93%, a figure far below WHO’s global estimate of around 15%. The gap reflects undercounting more than reality, partly because surveys rely on narrow definitions and self-reporting in a context where disability still carries stigma. Without better data, policy continues to fly blind.

Why these factors interact rather than add up

The factors discussed above do not operate in isolation. A young woman with a locomotor disability in a rural district may face ableist attitudes at home, financial hardship that prevents her from buying a wheelchair, an anganwadi worker who never visits, a primary health centre without a ramp, and a screening programme that does not record her disability status. Each barrier multiplies the effect of the others.

This is why piecemeal solutions rarely work. Building one accessible hospital while neglecting transport, training one batch of doctors while ignoring data systems, or passing a strong law while underfunding its implementation will not close the gap. WHO’s 40 recommended actions emphasise system-wide change: leadership and governance, financing, workforce training, infrastructure, data systems, and meaningful participation of persons with disabilities in decision-making.

The shift India needs is from the welfare model – where Divyangjan are seen as beneficiaries of charity – to the rights-based model where they are recognised as equal citizens entitled to the highest attainable standard of health. The legal framework is largely in place; the harder work is changing how clinics function, how campaigns are designed, and how data is collected.

What do you think? If you were redesigning your nearest primary health centre to be truly disability-inclusive, what would you change first – the physical space, the staff training, or the way data on patients is collected? And how might excluding persons with disabilities from a public health campaign affect the health of the wider community over time?

References

PDF 📄

Why Health Inequities Persist for Persons with Disabilities

Table of Contents

Socio-structural factors that shape health inequities 🔗

Ableism as a system, not just a bias 🔗

Poverty and the disability trap 🔗

Limited social support and isolation 🔗

The gap between legal rights and lived reality 🔗

How public health interventions leave Divyangjan behind 🔗

Exposure to behavioural risk factors 🔗

Exclusion from screening and immunisation 🔗

Emergency preparedness blind spots 🔗

Healthcare barriers that turn clinics into obstacle courses 🔗

Negative attitudes among healthcare providers 🔗

Inaccessible facilities and equipment 🔗

Insufficient data collection on disability 🔗

Why these factors interact rather than add up 🔗