Why do health outcomes differ between population groups in Australia, and who is prioritised?
Analyse health inequalities between population groups in Australia and explain why specific groups are designated priority populations
A focused HSC Health and Movement Science answer on health inequalities and priority populations. Distinguishes inequalities from inequities, identifies who is designated a priority population in Australia, explains how priority status is decided, and contrasts targeted versus universal approaches with named programs.
Reviewed by: AI editorial process; not yet individually human-reviewed
Have a quick question? Jump to the Q&A page
Jump to a section
What this sub-topic is asking
NESA wants you to define the difference between a health inequality (any measurable difference) and a health inequity (an unfair, avoidable, systematic difference), name the groups Australia formally treats as priority populations, explain the criteria used to designate them, and weigh up targeted interventions against universal ones using named Australian examples.
The answer
Inequalities vs inequities
A health inequality is any difference in health outcome or exposure between groups. Men live shorter lives than women on average: that is an inequality, but a substantial part is biological and not considered unjust.
A health inequity is a subset of inequality that is systematic, socially produced, and avoidable. The gap in life expectancy between Aboriginal and Torres Strait Islander Australians and non-Indigenous Australians is an inequity because it tracks colonisation, dispossession, racism and ongoing service gaps, all of which are modifiable.
Strong responses distinguish these terms in the opening sentence: not every inequality is an inequity, but every inequity is an inequality plus a judgement of injustice.
Australia's priority populations
Australian health policy (AIHW reporting, National Preventive Health Strategy, state plans) repeatedly names a similar set of priority populations:
- Aboriginal and Torres Strait Islander Australians (the largest sustained gap; Closing the Gap framework).
- People of low socioeconomic status (the bottom income, education and occupation quintiles).
- People in rural and remote areas (Modified Monash 4-7 areas; lower workforce density, longer travel, higher chronic disease).
- Culturally and linguistically diverse (CALD) communities, refugees and recent migrants (language barriers, trauma history, unfamiliar system).
- LGBTQI+ people (higher rates of mental ill-health and suicidality, partly driven by discrimination and minority stress).
- People with disability (physical access, communication, lower preventive screening uptake, higher rates of comorbidity).
- Older Australians and very young children at specific life stages.
- Gender-specific priorities such as women's reproductive health and men's lower help-seeking and higher suicide rates.
The signature of a priority population is a gradient or gap: a health measure that sits consistently worse than the national average. The owned chart below contrasts the life-expectancy gap for several groups. It is built to be illustrative of AIHW/ABS life-expectancy reporting (the Aboriginal and Torres Strait Islander gap of about 8.8/8.1 years, 2020-22; the remoteness and socioeconomic gradients; and the "healthy migrant" advantage of some overseas-born groups); treat the exact heights as an ExamExplained dataset, not a quoted table.
How priority status is decided
A group is typically designated a priority population when the data show several of:
- A larger or worsening gap in outcomes compared with the general population.
- Higher exposure to multiple determinants of health.
- Systemic barriers to accessing existing services.
- Preventability: the gap responds to known interventions, so closing it is feasible.
- Policy salience: governments commit funding and targets (e.g. Closing the Gap Refresh).
The AIHW's regular reporting (Australia's Health series) and NSW Ministry of Health priority population planning use broadly these criteria.
Targeted vs universal approaches
Universal approaches reach everyone (Medicare, immunisation schedules, plain-packaging tobacco laws). They are politically durable and reduce average risk.
Targeted approaches focus extra resources on a priority group (Aboriginal Community Controlled Health Services, refugee health clinics, rural workforce incentives, men's-shed mental health programs).
The evidence supports a proportionate universalism model: a universal floor plus extra intensity proportionate to need. Pure universal approaches tend to widen the gap because better-resourced groups take up programs faster; pure targeting risks stigma and missing people just outside the eligible group.
The concept map below shows how the determinants of health interact to make a group a priority population, and where the two policy levers act. The key idea is that the determinants do not run in separate lanes: they feed each other, so the inequity is a multiplied outcome, and effective policy keeps a universal floor while adding targeted intensity.
Examples in context
Example 1. Closing the Gap (refreshed framework). The National Agreement on Closing the Gap (2020 onward) sets shared targets across health, education, employment, justice and child protection, co-designed with the Coalition of Peaks. Health-specific targets include life expectancy and healthy birth weight. The framework treats Aboriginal and Torres Strait Islander Australians as the central priority population; community-controlled service delivery is a structural commitment, not just a program. Progress against the targets is mixed in published reporting, which itself is a useful HMS exam point: priority-population work is long-run, multi-determinant, and rarely shows fast linear gains.
Example 2. Rural Health Workforce incentives. Programs such as the Workforce Incentive Program and Bonded Medical Program use universal training pathways with extra weighting toward rural and remote service. This is proportionate universalism applied to workforce: the medical training system is universal; the financial and placement incentives are targeted to a priority population (people living in MM4-7 areas). It does not close the gap on its own, because workforce is one determinant among several, but it directly addresses an access barrier the data identify.
Try this
Q1. Distinguish between a health inequality and a health inequity, using an Australian example of each. [4 marks]
- Cue. Inequality: any measurable difference (e.g. average male vs female life expectancy, much of which is biological). Inequity: systematic, avoidable, unjust difference (e.g. life-expectancy gap between Aboriginal and Torres Strait Islander Australians and non-Indigenous Australians; tracks colonisation, racism, service gaps).
Q2. Explain the criteria used to designate a group as a priority population in Australian health policy. [6 marks]
- Cue. Gap size or trend, exposure to multiple determinants, systemic barriers to services, preventability, policy salience. Cite AIHW reporting and Closing the Gap framework.
Q3. Evaluate the use of targeted versus universal approaches for reducing health inequities in one Australian priority population. [8 marks]
- Cue. Pick one priority population (e.g. people in rural and remote areas). Compare universal (Medicare, MBS telehealth) with targeted (Workforce Incentive Program, Royal Flying Doctor Service, rural-focused training places). Argue for proportionate universalism, with named programs. Reach a clear judgement.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
core4 marksDistinguish between a health inequality and a health inequity, using an Australian example of each.Show worked solution →
A 4-mark distinguish needs both terms defined plus a matched example.
Health inequality. Any measurable difference between groups, including biological ones (e.g. average male versus female life expectancy, much of which is biological).
Health inequity. A systematic, socially produced and avoidable difference (e.g. the life-expectancy gap between Aboriginal and Torres Strait Islander Australians and non-Indigenous Australians, which tracks colonisation, racism and service gaps).
Markers reward (1) both definitions, (2) the key contrast (avoidable and unjust versus any difference), (3) an Australian example matched to each.
exam8 marksEvaluate the use of targeted versus universal approaches for reducing health inequities in ONE Australian priority population.Show worked solution →
An 8-mark evaluate needs a chosen population, both approaches assessed, and a judgement.
- Choose a population
- E.g. people in rural and remote areas.
- Universal
- Medicare and MBS telehealth reach everyone but better-resourced groups take them up faster, which can widen the gap.
- Targeted
- The Workforce Incentive Program, Bonded Medical Program and Royal Flying Doctor Service direct extra resources to the priority group but risk stigma or missing people just outside eligibility.
- Judgement
- Argue for proportionate universalism (a universal floor plus targeted intensity), supported by named programs.
Markers reward (1) both approaches with named examples, (2) the trade-offs, (3) a calibrated judgement.
foundation3 marksDefine a 'priority population' in Australian health policy, and name THREE groups currently designated as priority populations.Show worked solution →
A 3-mark item: 1 mark for the definition, up to 2 marks for correctly named groups.
Definition (1 mark). A priority population is a group that experiences systematically worse health outcomes than the general population because of avoidable, socially produced disadvantage, and is therefore targeted for extra resources and policy attention.
Named groups (2 marks, any two to three of). Aboriginal and Torres Strait Islander Australians; people of low socioeconomic status; people in rural and remote areas; culturally and linguistically diverse (CALD) communities, refugees and recent migrants; LGBTQI+ people; people with disability; people with mental illness; older Australians; very young children.
A definition that only says "a group with worse health" without the avoidable/systematic idea scores half; generic non-Australian groups do not earn the second mark.
foundation4 marksDistinguish between a health inequality and a health inequity, using one Australian example of each.Show worked solution →
A 4-mark distinguish needs both terms defined plus a matched Australian example.
Health inequality (about 2 marks). Any measurable difference in a health outcome or exposure between groups, including biological differences that are not unjust. Example: the average life-expectancy difference between males and females (much of which is biological).
Health inequity (about 2 marks). A subset of inequality that is systematic, socially produced and avoidable, and therefore unfair. Example: the life-expectancy gap between Aboriginal and Torres Strait Islander Australians and non-Indigenous Australians (about 8.8 years for males, 8.1 years for females; ABS, 2020-22), which tracks colonisation, racism and service gaps.
Marking spine: both terms defined with the avoidable/unjust contrast (2), and one correctly matched Australian example for each (2). An example with no term, or both terms but only one example, caps at 3.
core5 marksA described dataset (owned, ExamExplained) shows the gap in life expectancy at birth (years below the national average) for selected Australian groups: Aboriginal and Torres Strait Islander Australians about 8.5 years below; people in very remote areas about 4 years below; people in the most disadvantaged socioeconomic quintile about 3.5 years below; people born overseas (mainly in higher-income source countries) about 2 years ABOVE the average. Describe the pattern shown, and explain how the determinants of health account for the contrast between the groups.Show worked solution →
A 5-mark "describe and explain" rewards (i) an accurate reading of the pattern with figures, and (ii) a determinants explanation of WHY the groups differ - including why the overseas-born group sits above average.
Describe the pattern (about 2 marks). Three groups sit below the national average and one sits above it. The gap is largest for Aboriginal and Torres Strait Islander Australians (about 8.5 years below), then very remote residents (about 4 years below) and the most disadvantaged quintile (about 3.5 years below). By contrast, the overseas-born group is about 2 years ABOVE average - a positive gap, not a negative one. Quote at least the largest gap and the contrasting direction of the overseas-born group.
Explain with the framework (about 3 marks). The below-average groups share clustered socioeconomic, environmental and sociocultural disadvantage: for Aboriginal and Torres Strait Islander Australians, colonisation, dispossession, racism in services, lower income and remoteness compound; for remote residents, distance from care, workforce shortage and food security; for the lowest quintile, income and education limit access. The overseas-born advantage reflects the "healthy migrant effect": selective migration (people healthy enough to migrate, often from higher-income source countries with their own protective sociocultural diets and lower smoking), which shows that being a numerical "group" is not the same as being disadvantaged - the determinants, not the label, drive the outcome.
Marking spine: accurate pattern including the contrasting direction (2), determinants linked to the below-average groups (2), and the healthy-migrant/determinants point explaining the above-average group (1). A description with no determinants, or determinants that never refer to the data, caps at 3. (Figures are an owned ExamExplained dataset modelled on AIHW/ABS life-expectancy reporting, 2020-24; treat as illustrative.)
core6 marksExplain why Aboriginal and Torres Strait Islander Australians AND one other priority population are designated priority populations, referring to the criteria used and to how the determinants of health interact for each group.Show worked solution →
A 6-mark "explain" needs the designation criteria applied to TWO named groups, with the determinants shown to interact - not two separate descriptions.
- The criteria (about 1 mark)
- A group is designated when the data show a large or worsening outcome gap, higher exposure to multiple determinants, systemic barriers to services, preventability, and policy salience.
- Aboriginal and Torres Strait Islander Australians (about 2-3 marks)
- Largest sustained gap (life expectancy about 8.8/8.1 years below; ABS, 2020-22). Sociocultural (colonisation, intergenerational trauma, racism in services), socioeconomic (lower income, lower Year 12 completion, remote unemployment) and environmental (overcrowded housing, distance from specialist care, food and water security) determinants cluster, so the disadvantage is multiplied; the gap is preventable and carries high policy salience (Closing the Gap).
- One other group, e.g. people in rural and remote areas (about 2-3 marks)
- Higher chronic disease and potentially preventable hospitalisation; environmental determinants dominate (remoteness, longer travel, lower workforce density), interacting with socioeconomic (lower average income, thinner private-care market) and sociocultural (stoicism, lower help-seeking) factors. Barriers to access are systemic and the gap responds to workforce and telehealth interventions (preventable).
- Tie it together
- Both groups meet the criteria because clustered determinants, not single causes, produce avoidable gaps - which is why both are targeted.
Marking spine: criteria named (1), each group linked to clustered determinants and to at least one criterion with Australian specifics (2-3 each), and an explicit interaction/clustering statement. Two unconnected lists, or one group only, stays mid-band.
core5 marksOutline the difference between a universal and a targeted approach to reducing health inequities, and explain why 'proportionate universalism' is often preferred for a priority population.Show worked solution →
A 5-mark "outline and explain" rewards a clear distinction plus the reasoned case for proportionate universalism.
- Universal (about 1 mark)
- Reaches the whole population regardless of need - e.g. Medicare, the immunisation schedule, tobacco plain-packaging. Politically durable; lowers average risk.
- Targeted (about 1 mark)
- Directs extra resources to a defined priority group - e.g. Aboriginal Community Controlled Health Services, refugee health clinics, rural workforce incentives.
- Why proportionate universalism (about 3 marks)
- Pure universal programs tend to WIDEN the gap because better-resourced groups take them up faster (the "inverse care law"); pure targeting risks stigma, misses people just outside eligibility, and can divert from universal investment. Proportionate universalism keeps a universal floor for everyone but adds intensity proportionate to need, so it captures the reach of universal action and the equity focus of targeting - which is why state health plans and the National Preventive Health Strategy frame priority-population work this way.
Marking spine: both approaches defined with an Australian example (2), the trade-offs of each (1-2), and the proportionate-universalism resolution named and justified (1-2). Defining the terms with no judgement caps mid-band.
exam12 marksAnalyse how the determinants of health interact to make Aboriginal and Torres Strait Islander Australians AND one other group priority populations in Australia, and assess the extent to which targeted approaches can reduce the resulting inequities. Refer to specific determinants, named groups, current data and named programs.Show worked solution →
A 12-mark "analyse... and assess the extent" needs a sustained argument that (i) shows HOW determinants interact to produce two groups' inequities and (ii) reaches a calibrated judgement on how far targeted approaches can close them - with named groups, dated data and named programs.
Band 6 PLAN.
Thesis: Aboriginal and Torres Strait Islander Australians and people in rural and remote areas are priority populations because individual, sociocultural, socioeconomic and environmental determinants cluster and reinforce one another in each group, producing avoidable inequities; targeted approaches can reduce these gaps meaningfully but only as part of a proportionate-universalism model, because targeting alone cannot shift the upstream structural determinants.
Argument 1 - Aboriginal and Torres Strait Islander inequity is produced by interacting determinants. Evidence: life-expectancy gap about 8.8 years (males) and 8.1 years (females) (ABS, 2020-22); higher chronic-disease and potentially preventable hospitalisation. Mechanism: sociocultural (colonisation, dispossession, intergenerational trauma, racism in services) erodes trust and acts as a chronic stressor; socioeconomic (income, Year 12 completion, remote unemployment) limits access; environmental (overcrowding, remoteness, food and water security) raises risk - the determinants cluster, so the disadvantage multiplies.
Argument 2 - rural and remote inequity shares the structure but with a different lead determinant. Evidence: higher rates of potentially preventable hospitalisation and chronic disease, lower life expectancy in very remote areas (AIHW, 2022-24). Mechanism: the ENVIRONMENTAL determinant (remoteness) leads - longer travel, thinner workforce - interacting with socioeconomic (lower average income, thin private-care market) and sociocultural (lower help-seeking) factors. Same clustering logic, different driver, which is why specificity matters.
Argument 3 - assess targeted approaches. Strengths: Aboriginal Community Controlled Health Services (NACCHO model) address several determinants together and show better attendance and chronic-disease management; the Workforce Incentive Program, Bonded Medical Program and Royal Flying Doctor Service tackle the rural access barrier directly. Limits: targeting can stigmatise, miss people just outside eligibility, and cannot by itself shift income, education, housing or historical injustice; Closing the Gap progress is mixed in published reporting, showing the long-run, multi-determinant nature of the task.
Judgement: targeted approaches are necessary and effective on access and service-design barriers, but reduce inequity FULLY only inside a proportionate-universalism frame (a universal floor plus targeted intensity) that also moves the upstream socioeconomic and structural determinants. Extent: substantial but partial, and slow.
Model paragraph (Argument 1). The clearest case that priority status reflects interacting determinants rather than a single cause is the Aboriginal and Torres Strait Islander life-expectancy gap of about 8.8 years for males and 8.1 years for females (ABS, 2020-22). Sociocultural determinants come first: colonisation, dispossession and intergenerational trauma, compounded by racism in mainstream services, erode trust and act as chronic stressors that shape both mental health and willingness to seek care. These do not operate alone - they pull socioeconomic determinants (lower median income, lower Year 12 completion, higher remote unemployment) and environmental determinants (overcrowded housing, distance from specialist services, food and water security gaps) along with them, so the disadvantage accumulates in the same communities. The result is a multiplied rather than merely additive risk, which is exactly why a clinic-only or behaviour-only response is insufficient and why the Aboriginal Community Controlled Health Service model - addressing clinical care, cultural safety, governance and workforce together - aligns with the framework. The gap is therefore an avoidable inequity produced by interacting determinants, not an inevitable inequality.
Marker's note: markers reward a sustained thesis that ANALYSES (determinants interacting to produce inequity in TWO named groups) rather than describing one group; explicit, correct use of the determinant categories with Australian specifics; CURRENT data carrying a year (the about 8.8/8.1 year First Nations gap, 2020-22; rural preventable-hospitalisation/AIHW, 2022-24); named programs (NACCHO/ACCHS, Workforce Incentive Program, Royal Flying Doctor Service, Closing the Gap); explicit CLUSTERING; and a calibrated "extent" judgement that lands on proportionate universalism. A single-group answer, a list of programs with no determinants, or data with no year cannot reach the top band.