Evidence map›Paper›PMID 38431294›Full record

ArticleBMJ open2024

Estimating quality-adjusted life expectancy (QALE) for local authorities in Great Britain and its association with indicators of the inclusive economy: a cross-sectional study.

Andreas Höhn, Nik Lomax, Hugh Rice, Colin Angus, Alan Brennan, Denise Brown, Anne Cunningham, Corinna Elsenbroich, Ceri Hughes, Srinivasa Vittal Katikireddi and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2024. 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. Article
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

14 authors.

Andreas HöhnMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK andreas.hoehn@glasgow.ac.uk.ORCID 0000-0002-7170-1205
Nik LomaxSchool of Geography, University of Leeds, Leeds, UK.ORCID 0000-0001-9504-7570
Hugh RiceSchool of Geography, University of Leeds, Leeds, UK.ORCID 0000-0002-6895-8325
Colin AngusSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0529-4135
Alan BrennanSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-1025-312X
Denise BrownMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0002-5195-5312
Anne CunninghamSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0817-549X
Corinna ElsenbroichMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0003-1153-4326
Ceri HughesManchester Institute of Education, The University of Manchester, Manchester, UK.ORCID 0000-0001-9495-8153
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6593-9092
Gerry McCartneySchool of Social and Political Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6341-3521
Rosie SeamanMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0003-1400-4048
Aki TsuchiaSchool of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-4245-5399
Petra MeierMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0001-5354-1933

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesQuantifying area-level inequalities in population health can help to inform policy responses. We describe an approach for estimating quality-adjusted life expectancy (QALE), a comprehensive health expectancy measure, for local authorities (LAs) in Great Britain (GB). To identify potential factors accounting for LA-level QALE inequalities, we examined the association between inclusive economy indicators and QALE.

setting361/363 LAs in GB (lower tier/district level) within the period 2018-2020. DATA AND

methodsWe estimated life tables for LAs using official statistics and utility scores from an area-level linkage of the Understanding Society survey. Using the Sullivan method, we estimated QALE at birth in years with corresponding 80% CIs. To examine the association between inclusive economy indicators and QALE, we used an open access data set operationalising the inclusive economy, created by the System Science in Public Health and Health Economics Research consortium.

resultsPopulation-weighted QALE estimates across LAs in GB were lowest in Scotland (females/males: 65.1 years/64.9 years) and Wales (65.0 years/65.2 years), while they were highest in England (67.5 years/67.6 years). The range across LAs for females was from 56.3 years (80% CI 45.6 to 67.1) in Mansfield to 77.7 years (80% CI 65.11 to 90.2) in Runnymede. QALE for males ranged from 57.5 years (80% CI 40.2 to 74.7) in Merthyr Tydfil to 77.2 years (80% CI 65.4 to 89.1) in Runnymede. Indicators of the inclusive economy accounted for more than half of the variation in QALE at the LA level (adjusted R

conclusionsQALE can be estimated for LAs in GB, enabling further research into area-level health inequalities. The associations we identified between inclusive economy indicators and QALE highlight potential policy priorities for improving population health and reducing health inequalities.

Indexed as

Life ExpectancyQuality of LifeCross-Sectional StudiesFemaleHealth StatusHumansInfant, NewbornMaleQuality-Adjusted Life YearsUnited Kingdomdecision makinghealth economicshealth equitypublic healthquality of lifestatistics & research methods

Identifiers

PMID38431294
PMCPMC10910677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.