Evidence map›Paper›PMID 41335311›Full record

ReviewPharmacoEconomics2026

Practical Considerations for Incorporating Equity More Explicitly in Australian Health Technology Assessment Processes.

Anagha Killedar, Martin Howell, Kirsten Howard, Sarah Norris

Abstract readReview
In one paragraph

Review in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Anagha KilledarLeeder Centre for Health Policy, Economics and Data, School of Public Health, Faculty of Medicine and Health, University of Sydney, Level 5, Moore College CG2, 1 King Street, Newtown, NSW, 2042, Australia. anagha.killedar@sydney.edu.au.ORCID http://orcid.org/0000-0003-2363-8827
Martin HowellLeeder Centre for Health Policy, Economics and Data, School of Public Health, Faculty of Medicine and Health, University of Sydney, Level 5, Moore College CG2, 1 King Street, Newtown, NSW, 2042, Australia.
Kirsten HowardLeeder Centre for Health Policy, Economics and Data, School of Public Health, Faculty of Medicine and Health, University of Sydney, Level 5, Moore College CG2, 1 King Street, Newtown, NSW, 2042, Australia.
Sarah NorrisLeeder Centre for Health Policy, Economics and Data, School of Public Health, Faculty of Medicine and Health, University of Sydney, Level 5, Moore College CG2, 1 King Street, Newtown, NSW, 2042, Australia.

Funding

Medical Research Future Fund APP2015965National Health and Medical Research Council APP2034414
6 · The paper itself

Abstract

Globally, advances in methods to examine equity alongside economic evaluations are being considered for application in health technology assessment (HTA) processes which inform decisions to publicly fund pharmaceuticals and medical services. In this practical application, we focus on the Australian context and explore how several of these methods might be used to incorporate equity more explicitly in HTA decisions. Specifically, we describe distributional cost-effectiveness analysis, extended cost-effectiveness analysis, equity weighting, multi-criteria decision analysis, mathematical programming and other quantitative approaches. We consider the feasibility and suitability of each method considering contextual factors, highlight challenges, describe current use in Australia and make recommendations for their application. We argue that there are opportunities to use aspects of several different methods in the Australian context which would illuminate how costs (including out of pocket costs) and benefits are distributed across the population, how normative concerns for equity influence the calculated social value of a new technology, how equity criteria complement other measures of value and how the technology impacts non-health outcomes. However, some of the stated requirements for the methods, such as using the same social groupings for all analyses, applying cost-effectiveness thresholds and the application of algorithms may restrict the usefulness of the evidence generated in a context where there are many priority populations of interest, several aspects of equity are considered important and there is a well-established deliberative approach to decision-making. We recommend that the equity implications of new health technologies should be universally evaluated. However, a tailored and transparent approach should be taken whereby specific equity analyses consider the context of the technology and the chosen methods are well justified.

Indexed as

Health EquityTechnology Assessment, BiomedicalAustraliaCost-Benefit AnalysisDecision MakingDecision Support TechniquesHumans

Identifiers

PMID41335311
PMCPMC12917053

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.