Evidence map›Paper›PMID 39900420›Full record

ArticleBMJ open2025

Counting the cost of hospitalised injury using administrative data in Australia: three considerations from a retrospective cohort data linkage study.

Clifford Afoakwah, Jacelle Warren, Victoria McCreanor, Shahera Banu, Michael Schuetz, Steven M McPhail, Kirsten Vallmuur

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

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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

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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. Recovery trajectories after a serious injury or illness: a longitudinal evaluation of health-related quality of life in an Australian cohort.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    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

7 authors.

Clifford AfoakwahAustralian Centre for Health Services Innovation (AusHSI), School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Queensland, Australia clifford.afoakwah@qut.edu.au.ORCID http://orcid.org/0000-0002-8551-3651
Jacelle WarrenAustralian Centre for Health Services Innovation (AusHSI), School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Victoria McCreanorHunter Medical Research Institute, Newcastle, New South Wales, Australia.
Shahera BanuJamieson Trauma Institute, Metro North Health, Herston, Queensland, Australia.
Michael SchuetzJamieson Trauma Institute, Metro North Health, Herston, Queensland, Australia.
Steven M McPhailAustralian Centre for Health Services Innovation (AusHSI), School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Kirsten VallmuurAustralian Centre for Health Services Innovation (AusHSI), School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Queensland, Australia.ORCID http://orcid.org/0000-0002-3760-0822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the relative differences in injury hospitalisation cost estimates from hospital administrative data when using (1) hospital reimbursement based on National Efficient Price (NEP) versus local hospital costings methods, (2) inflation factors based on Consumer Price Index (CPI) versus health group index and (3) different healthcare funder's perspectives.

designRetrospective population-based cohort study of linked Queensland Hospital Admitted Patient Data Collection dataset and National Hospital Cost Data Collection data.

settingAll admitted injury-related care episodes occurring within a major trauma hospital in Queensland during 1 January 2012 to 31 December 2017. OUTCOME MEASURE: Total in-patient hospitalisation cost associated with an episode of care.

resultsInjury without catastrophic/severe complications or comorbidities was the most frequently occurring Australian Refined Diagnosis-Related Groups (AR-DRG) over the 6-year period, while rehabilitation with catastrophic complications or comorbidities was the most expensive ($37 938, 95% CI $36 067 to $39 809). Among the top 10 AR-DRGs, seven had NEP-based cost estimates substantially higher than the hospital-reported costs, with differences varying between 2.6% and 43.0%. CPI-inflated costs were significantly lower than health group index-inflated estimates, with observed differences between 7.7% (95% CI 6.9% to 8.7%) and 11.9% (95% CI 10.8% to 13.1%) for the same AR-DRG. Finally, cost estimates were significantly higher for care funded by private health insurers compared with care funded by either the public insurer or compulsory third-party injury insurers, with differences varying significantly between 8.4% (95% CI 7.2% to 30.1%) and 55.0% (95% CI 53.3% to 56.9%) for the same AR-DRG. Care funded by compulsory third-party injury insurers, however, incurred the highest cost for the most expensive AR-DRGs.

conclusionThere were considerable discrepancies in cost estimates for common injury-related hospitalisations depending on type of costing method used, inflation metrics applied and healthcare funder's perspective adopted. These factors need to be considered when evaluating hospital cost in Australia's health system using administrative data.

Indexed as

Hospital CostsHospitalizationWounds and InjuriesAdolescentAdultAgedAustraliaDiagnosis-Related GroupsFemaleHumansInformation Storage and RetrievalMaleMiddle AgedQueenslandRetrospective StudiesYoung AdultHealth Care CostsHEALTH ECONOMICSTRAUMA MANAGEMENT

Identifiers

PMID39900420
PMCPMC11795378

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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.