Health inequalities

In England, on Office for National Statistics figures published across recent years, the gap in life expectancy between the most and least deprived tenths of the population runs at close to a decade for men and somewhat narrower for women. The gap in healthy life expectancy — years lived without disabling illness — is roughly twice as wide. The precise numbers shift with each release, so hold the scale rather than a decimal. Those two populations are frequently a few miles apart, in the same city, registered with practices that refer into the same hospital.

Panels ask about this because it separates two kinds of candidate cleanly. One explains the gap by what people in poor areas do. The other explains it by the conditions they do it in, then places behaviour inside those conditions without pretending nobody has any agency at all. The second answer is harder, and it is the one that scores.

What counts as a health inequality

The working definition to own is that health inequalities are systematic, avoidable and unjust differences in health between groups of people. Each of the three words is doing something. Systematic means the pattern repeats rather than scattering randomly. Avoidable means it could in principle be otherwise. Unjust means we have made a value judgement, and you should be able to say so out loud.

The social determinants, and how little of health is healthcare

The determinants of population health sit mostly outside hospitals. Income and its security, housing quality and tenure, education, the kind of work available and whether it is controllable or precarious, the food environment within walking distance, air quality, transport, and the presence or absence of a social network all shape both the risk of becoming ill and the resources available to recover.

• Income — not only absolute poverty but insecurity. Chronic financial stress has measurable physiological effects, and it also crowds out the attention that managing a long-term condition demands.
• Housing — cold, damp and overcrowding drive respiratory disease and mental illness directly; insecure tenancy fragments care by moving people between practices and services.
• Education — the strongest single predictor of later health in many datasets, working through employment, income, health literacy and a sense of control.
• Employment — worklessness harms health, and so does bad work: low control, unpredictable hours, no sick pay. The absence of sick pay converts a mild illness into a financial decision.
• Food environment — what is affordable, marketed and physically nearby differs sharply between neighbourhoods, which is why diet is a poor place to locate blame.
• Air quality and place — pollution exposure is patterned by deprivation, as is access to green space, safe walking routes and functioning public transport.

Estimates of how much of the variation in population health outcomes medical care itself explains differ by method and by dataset, but they consistently land in the minority — most attempts put it somewhere between a tenth and a quarter. Quote that as a direction rather than a figure. The point survives either way: a health service is not the main determinant of a population’s health, even though it is the part of the system you are applying to join.

Marmot, the social gradient and proportionate universalism

The single most useful piece of evidence here is the Whitehall research on British civil servants: a first cohort followed from the late 1960s, and a second, which Michael Marmot led, recruited in the mid-1980s. Nobody in either cohort was destitute and everybody was in stable office employment, yet mortality rose steadily as employment grade fell — and it rose at every step, not only at the bottom. That finding is what a social gradient means.

Marmot chaired the government-commissioned strategic review of health inequalities in England, published in February 2010 as Fair Society, Healthy Lives. It set six policy objectives, with the first named as the highest priority.

1. Give every child the best start in life.
2. Enable all children, young people and adults to maximise their capabilities and have control over their lives.
3. Create fair employment and good work for all.
4. Ensure a healthy standard of living for all.
5. Create and develop healthy and sustainable places and communities.
6. Strengthen the role and impact of ill health prevention.

The review’s answer to the gradient is the phrase worth memorising: proportionate universalism. Actions should be universal rather than targeted only at the poorest, but delivered at a scale and intensity proportionate to the level of disadvantage. Purely targeted programmes miss the large middle of the gradient and stigmatise those they reach; purely universal programmes are frequently taken up most by the people who need them least.

The follow-up, Health Equity in England: The Marmot Review 10 Years On, appeared in February 2020, immediately before the pandemic reached the UK. Its findings were that the long improvement in life expectancy had slowed markedly from around 2011, that the gap between more and less deprived areas had widened, that time spent in poor health had increased, and that for women in the most deprived tenth of areas life expectancy had actually fallen. The review attributed much of this to a decade of spending reductions falling hardest on the most deprived local authorities. Note when you use it that this causal attribution is argued rather than settled — several economists dispute how much of the slowdown is austerity and how much is a broader pattern seen across comparable countries. Presenting it as contested is a strength, not a hedge.

The inverse care law, old and new

Julian Tudor Hart was a general practitioner in Glyncorrwg, a mining village in South Wales, when he set out the observation that has framed the field ever since. It was published in The Lancet in 1971 and it remains one of the few propositions in health policy that candidates can quote accurately and briefly.

The availability of good medical care tends to vary inversely with the need for it in the population served.

Julian Tudor Hart, “The Inverse Care Law”, The Lancet, 1971

The law is not a historical curiosity. General practices serving the most deprived populations tend to carry more patients per clinician and more multimorbidity per patient, while funding formulae have long been criticised for tracking demand rather than need. Uptake of screening programmes, structured long-term-condition reviews and cardiac rehabilitation is generally lowest in the groups with the highest incidence. The law even operates inside a single consultation, where the person with the most complex problems often has the least time and the least confidence to press for a referral.

Digital exclusion is the newest form of it, and mentioning it dates your reading usefully. As booking, triage, repeat prescribing and outpatient follow-up move onto apps and video, the people least likely to have a device, reliable connectivity, data or the confidence to use them are disproportionately older, poorer, disabled, homeless or not first-language English speakers — which is to say, the people with the most need. Digital-first design is efficient in aggregate and regressive at the margin unless a non-digital route is deliberately preserved.

The axes an interviewer will probe

Deprivation is the axis that structures most of the data, but it is not the only one, and a candidate who can name two or three others accurately sounds like someone who has read rather than revised.

Ethnicity. Successive MBRRACE-UK confidential enquiries into maternal deaths have found maternal mortality among Black women in the UK to be a multiple of the rate among White women, with Asian women also at elevated risk. The size of that multiple has moved between reports — earlier editions reported a wider gap than the most recent ones — so describe it as a persistent, substantial disparity rather than fixing on a figure, and say which report you are drawing on if you name one. State the interpretation carefully. The disparity is not explained by biology. Contributors identified include deprivation, higher rates of pre-existing conditions, delays and barriers in accessing care, communication, and differences in the quality of care received, including how readily symptoms are believed. Racism, interpersonal and structural, is treated as a determinant of health in the UK reviews of this evidence; saying so while being clear that the precise mechanisms are still being disentangled is the defensible position, and reducing the finding to genetics is not.

Learning disability and severe mental illness. These are among the largest life-expectancy gaps in the system, and among the least discussed by candidates. People with a learning disability die substantially younger than the general population — national mortality reviews commonly report a gap of around two decades — and a large share of those deaths are judged to have been avoidable. People with severe mental illness such as schizophrenia or bipolar disorder are commonly reported to die around fifteen to twenty years earlier than average, and most of that excess is physical illness — cardiovascular, respiratory and cancer — rather than suicide, although suicide risk is raised too. Diagnostic overshadowing, where a new physical symptom is attributed to the existing psychiatric or developmental diagnosis, is the mechanism to name.

Inclusion health groups. People experiencing homelessness, Gypsy, Roma and Traveller communities, sex workers, people in contact with the justice system and vulnerable migrants share extreme poor health and near-total exclusion from routine services. Official estimates have put the mean age at death for people experiencing homelessness in England and Wales at around the mid-forties. Registration barriers matter here: under NHS England guidance nobody needs a fixed address, identification or immigration status to register with a GP, and a receptionist who believes otherwise is a health inequality in operation.

Rurality and coastal communities. Distance is a determinant: travel time to a hospital, ambulance response in a sparse area, workforce recruitment to places with few amenities, and the isolation of older people without transport. The Chief Medical Officer for England devoted his 2021 annual report to health in coastal communities, which combine deprivation, ageing populations, seasonal work and poor housing stock in a pattern the national averages conceal.

What the NHS does about it, and what it cannot

The national framework in England is Core20PLUS5, and it is the single most useful thing to be able to name. Understanding how the service is organised around it is easier if you already hold the structure covered in how the NHS actually works.

• Core20 — the most deprived twenty per cent of the national population, identified using the Index of Multiple Deprivation.
• PLUS — population groups identified locally by each integrated care system as experiencing poorer access, experience or outcomes: typically inclusion health groups, some ethnic minority communities, and people with a learning disability or severe mental illness.
• 5 — five clinical areas of accelerated improvement for adults: maternity, severe mental illness, chronic respiratory disease, early cancer diagnosis, and hypertension case-finding. A parallel version for children and young people sets out its own five priorities.

Beyond a framework, the service can do several concrete things: fund practices by need rather than demand, commission outreach for groups that do not attend, collect and publish outcomes broken down by deprivation and ethnicity so that gaps become visible, protect non-digital access routes, and use its own weight as one of the largest employers in the country to offer secure work and training in the places that lack both. That last role, sometimes called the anchor institution function, is a genuine lever rather than a slogan.

The honest limit is worth stating explicitly, because it is the sentence that makes an answer sound like a clinician rather than a campaigner. A health service cannot raise wages, build houses, insulate homes, restore bus routes or change the price of food. Those sit with other departments and other budgets. What a health service can do is treat well, reach further, stop compounding disadvantage through its own design, and produce the evidence that makes the case elsewhere. The wider pressures that constrain all of this are covered in NHS pressures and the workforce.

Rehearse this one aloud more than you read it. The content is not difficult; the difficulty is holding structural explanation and individual agency in the same answer without collapsing into either fatalism or blame. Thematically grouped practice prompts are in the interview question bank.