Evidence map›Paper›PMID 40098603›Full record

ArticleHealth economics2025

Behavioral Responses to Healthcare Funding Decisions and Their Impact on Value for Money: Evidence From Australia.

Peter Ghijben, Dennis Petrie, Silva Zavarsek, Gang Chen, Emily Lancsar

Abstract read
In one paragraph

Article in Health economics, 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. 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

5 authors.

Peter GhijbenCentre for Health Economics, Monash Business School, Monash University, Caulfield, Australia.ORCID 0000-0002-7532-7847
Dennis PetrieCentre for Health Economics, Monash Business School, Monash University, Caulfield, Australia.
Silva ZavarsekDeakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Burwood, Australia.
Gang ChenCentre for Health Economics, Monash Business School, Monash University, Caulfield, Australia.ORCID 0000-0002-8385-5965
Emily LancsarDepartment of Health Economics Wellbeing and Society, College of Health & Medicine, The Australian National University, Acton, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Value for money is fundamental to health insurance schemes given insurers must choose which treatments to fund. Assessing value for money ex ante is challenging, however, because costs and outcomes depend on how treatments are used. Estimates often rely on evidence from early randomized controlled trials conducted prior to regulatory approval, where provider and patient behaviors are tightly controlled. This approach ignores how different supply conditions and incentives in practice influence behaviors. This paper considers how provider and patient incentives can differ between trial and practice settings and analyses how healthcare use changed when new prostate cancer treatments were funded on the public health insurance scheme in Australia. We find evidence that doctors treated patients with worse prognosis compared to the trials, patients ceased prior treatment and switched to the new treatments earlier than expected, and treatment duration was longer than expected. These and other behavioral responses reduced value for money ex post. Our findings suggest that health insurers should carefully consider the supply conditions and incentives in practice when funding new treatments.

Indexed as

Prostatic NeoplasmsAustraliaHumansInsurance, HealthMaleMiddle AgedMotivationallocative efficiencyinformationpublic health insuranceuncertainty

Identifiers

PMID40098603
PMCPMC12166537

What OpenQuestion holds

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LicenceCC BY-NC
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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.