Evidence map›Paper›PMID 41502073›Full record

ArticleInternational journal of technology assessment in health care2026

Closing the gap: do we need a framework for embedding equity in health technology assessment?

Jonathan Pearson-Stuttard, Marina Richardson, Susan Griffin, Chris Lübker, Stephen Duffield

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2026. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jonathan Pearson-StuttardHealth Analytics, Lane Clark & Peacock LLP, London, UK.ORCID https://orcid.org/0000-0003-2175-9975
Marina RichardsonInstitute for Clinical and Economic Review, Boston, MA, USA.
Susan GriffinCentre for Health Economics, University of York, York, UK.
Chris LübkerNovo Nordisk, Bagsværd, Denmark.
Stephen DuffieldNational Institute for Health and Care Excellence, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesReducing health inequalities and improving health equity have become pressing priorities for health technology assessment (HTA) bodies and healthcare payers globally, particularly in light of the COVID-19 pandemic and its disproportionate impact on disadvantaged groups. Equity considerations are now being embedded across strategic frameworks and HTA processes in countries such as the UK, Canada, and Australia. Examples include NICE's Core20PLUS5 initiative and PBAC's policy shift allowing broader prescribing access to address care disparities. However, systematically incorporating quantitative equity measures into HTA presents significant challenges, given the diversity of equity subgroups and varying national contexts.

methodsAt the 2024 CDA-AMC Symposium, we convened stakeholders to discuss the challenges and opportunities for integrating equity into HTA.

resultsKey insights included ICER's framework for embedding equity across the HTA lifecycle and NICE's evolving application of Distributional Cost-Effectiveness Analysis (DCEA), as demonstrated in the appraisal of exagamglogene autotemcel for beta-thalassemia. DCEA, while increasingly recognized, requires robust real-world data and clearer guidance on trade-offs between equity and efficiency. Manufacturers are aligning equity goals with ESG priorities but seek greater clarity from HTA bodies on how equity evidence influences decision-making. NICE and ICER emphasize the need for deliberative processes to capture equity dimensions not reflected in traditional cost-effectiveness analysis.

conclusionAdvancing health equity in HTA will require cross-sector collaboration to develop guidance, improve data infrastructure, and standardize methodologies. Equity-focused evidence generation across the "staircase of inequality" - from need to access and outcomes - can support more inclusive HTA and reimbursement decisions, ultimately fostering a fairer and more effective healthcare system.

Indexed as

Health EquityTechnology Assessment, BiomedicalCost-Benefit AnalysisCost-Effectiveness AnalysisCOVID-19Healthcare DisparitiesHumansdistributional cost effectiveness analysishealth equityhealth technology assessmentinequalitiesmulti-agency

Identifiers

PMID41502073
PMCPMC12916239

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.