Evidence map›Paper›PMID 41656924›Full record

Observational studyInternational journal of technology assessment in health care2026

HTA submission strategies and their associations with rollout times and type of HTA recommendation in Australia and Canada.

Belen Sola-Barrado, Ting Wang, Neil McAuslane

Abstract readObservational Study
In one paragraph

Observational study 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. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

3 authors.

Belen Sola-Barradohttps://ror.org/00v71jq68Centre for Innovation in Regulatory Science (CIRS), London, UK.ORCID https://orcid.org/0000-0003-0352-7396
Ting Wanghttps://ror.org/00v71jq68Centre for Innovation in Regulatory Science (CIRS), London, UK.ORCID https://orcid.org/0000-0002-5848-0647
Neil McAuslanehttps://ror.org/00v71jq68Centre for Innovation in Regulatory Science (CIRS), London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAustralia and Canada have parallel submission processes allowing companies to submit dossiers to the respective health technology assessment (HTA) body before marketing authorization is issued, aiming to provide more timely access to drugs. This study investigated the associations of submission strategies with new active substance (NAS) rollout times and HTA recommendations.

methodsThis retrospective observational study analyzed HTA appraisals by the Pharmaceutical Benefits Advisory Committee (PBAC) and Canada's Drug Agency (CDA-AMC) for NASs that received their first HTA recommendation between 2019 and 2023. Regulatory and HTA dates were sourced from public records. We implemented logistic regression to examine associations of HTA recommendation (optimal vs non-optimal). Linear regression was used to test associations of rollout time. Models were adjusted for submission sequence, country, therapeutic area, expedited review, conditional review, top R&D spenders, and year of HTA recommendation.

results229 HTA appraisals (126/229 parallel) were included. Parallel submissions were associated with a 14.0-month shorter rollout time compared to sequential submissions (

conclusionsNASs following parallel submission showed faster rollout times than those following traditional sequential submission. Moreover, parallel submissions were associated with higher odds of receiving an optimal recommendation. These findings highlight the value of aligning regulatory and HTA processes.

Indexed as

Technology Assessment, BiomedicalAustraliaCanadaHumansRetrospective StudiesTime FactorsAustraliaCanadahealth technology assessment (HTA)parallel submissionsregulatory HTA alignment

Identifiers

PMID41656924
PMCPMC12964150

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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.