Evidence map›Paper›PMID 41052263›Full record

Trial reportAge and ageing2025

A cost-consequence analysis of a nudge intervention to improve hospital care of older people at the end of life: results from a stepped-wedge cluster randomised trial.

Hannah E Carter, Thomasina Donovan, Nicole M White, Xing J Lee, Christine Brown, Nicholas Graves, Steven McPhail, Magnolia Cardona, Ben P White, Lindy Willmott and 4 more

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Hannah E CarterAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.ORCID 0000-0002-0046-4126
Thomasina DonovanAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Nicole M WhiteAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.ORCID 0000-0002-9292-0773
Xing J LeeAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Christine BrownAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Nicholas GravesDuke-NUS Postgraduate Medical School, National University of Singapore, 8 College Rd, Singapore 169857, Singapore.
Steven McPhailAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Magnolia CardonaUniversity of New South Wales, School of Population Health, Kensington, New South Wales, Australia.
Ben P WhiteFaculty of Business and Law, Australian Centre for Health Law Research, School of Law, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0003-3365-939X
Lindy WillmottFaculty of Business and Law, Australian Centre for Health Law Research, School of Law, Queensland University of Technology, Brisbane, Queensland, Australia.
Gillian HarveyAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Leonie CallawayRoyal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Ken HillmanThe Simpson Centre for Health Services Research, SWS Clinical School, Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.
Adrian G BarnettAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia.ORCID 0000-0001-6339-0374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 'Intervention for Appropriate Care and Treatment' (InterACT) was a nudge intervention to identify hospital patients at risk of imminent death or deterioration and communicate this information to treating clinical teams. The aim was to improve the quality of care delivered. This paper reports a cost-consequence analysis of the InterACT intervention.

methodsA stepped-wedge cluster randomised trial was conducted across three large tertiary hospitals in Australia between May 2020 and June 2021. The cost of implementing the intervention was determined using prospectively collected staff time sheets, study documentation and field notes. Changes to hospital admission costs and health service outcomes between the trial's intervention and control phases are also reported. Hospital admissions costs and other health service outcomes were obtained from hospital databases and patient chart reviews.

resultsThe mean intervention cost was $A 72 per at-risk patient admission identified. Additional site-level implementation costs ranged between $21 373 to $34 867 per hospital site, translating to $23 per at-risk admission. The intervention did not reduce the cost of intensive care unit admission, length of stay, medical emergency calls or in-hospital deaths. Wide confidence intervals around at-risk admission cost differences (95% CI: -$2264 to $3312) indicated there was large uncertainty.

conclusionsThis cost-consequence analysis found that the intervention was not effective in reducing the cost of non-beneficial treatment, which is consistent with the broader InterACT results. This simple nudge-intervention alone may not be sufficient to impact health service resource use and costs in the complex end-of-life setting.

Indexed as

Hospital CostsHospitalizationQuality ImprovementTerminal CareAgedAged, 80 and overAustraliaCost-Benefit AnalysisFemaleHumansLength of StayMaleat riskcostshospitalsInterACTinterventionsolder people

Identifiers

PMID41052263
PMCPMC12499750

What OpenQuestion holds

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LicenceCC BY
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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.