Evidence map›Paper›PMID 40524123›Full record

ArticlePharmacoEconomics2025

Inequalities in Quality-Adjusted Life Expectancy in Australia by Educational Attainment.

Sheridan E Rodda, Melanie Lloyd, Jennifer Welsh, Jedidiah Morton, Rosemary Korda, Zanfina Ademi

Abstract read
In one paragraph

Article in PharmacoEconomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Sheridan E RoddaHealth Economics and Policy Evaluation Research, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
Melanie LloydHealth Economics and Policy Evaluation Research, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
Jennifer WelshNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Jedidiah MortonCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
Rosemary KordaNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Zanfina AdemiHealth Economics and Policy Evaluation Research, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia. Zanfina.Ademi@monash.edu.ORCID 0000-0002-0625-3522

Funding

National Health and Medical Research Council 2012582National Heart Foundation of Australia 108269-2024
6 · The paper itself

Abstract

introductionSummary measures such as quality-adjusted life expectancy (QALE) are increasingly used to monitor health inequalities. Socioeconomic inequalities in health are well documented in Australia, including inequalities by education. However, estimates for QALE by level of education are lacking for Australia. We aimed to provide QALE stratified by age and sex across levels of educational attainment for the Australian population aged 25 years and above.

methodsWe categorized educational attainment as low (completed year 11 or below), intermediate (completed year 12 and/or other non-tertiary or vocational qualification) or high (completed a bachelor's degree or above). Mean Short-Form Six-Dimension health utility was estimated for sex- and education-specific subgroups from the Household, Income and Labour Dynamics in Australia survey (2022). We constructed life tables using age-sex-education-specific mortality rates for 2019 obtained from linked 2016 Census and Death Registrations data. Health utility was incorporated into the life tables to derive age- and sex-specific QALE across education levels.

resultsAt age 25 years, males with high education had 7.3 years greater life expectancy than those with low education (61.0 versus 53.7 years undiscounted) and larger QALE (39.9 versus 28.8 years undiscounted), a gap of 11.1 years (39% relative difference). Females aged 25 years with a high level of education experienced 3.9 years greater life expectancy (LE; 63.1 versus 59.2 years, undiscounted) and an additional 7.6 years of QALE (36.9 versus 29.3 years, undiscounted), compared with those with low education, a 26% relative difference in QALE.

conclusionsSignificant disparities in QALE by educational attainment exist in Australia. These findings can inform policies aimed at reducing health inequity by guiding resource allocation and supporting future equity-informative economic evaluations.

Indexed as

Educational StatusHealth Status DisparitiesLife ExpectancyQuality-Adjusted Life YearsAdultAgedAged, 80 and overAge FactorsAustraliaFemaleHumansMaleMiddle AgedSex FactorsSocioeconomic Factors

Identifiers

PMID40524123
PMCPMC12370855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.