Evidence map›Paper›PMID 34199912›Full record

ArticleVaccines2021

The Cost-Effectiveness of Expanding Vaccination with a Cell-Based Influenza Vaccine to Low Risk Adults Aged 50 to 64 Years in the United Kingdom.

Michele A Kohli, Michael Maschio, Joaquin F Mould-Quevedo, Mansoor Ashraf, Michael F Drummond, Milton C Weinstein

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Review
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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

6 authors.

Michele A KohliQuadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1 Canada.ORCID 0000-0002-6032-9356
Michael MaschioQuadrant Health Economics Inc., 92 Cottonwood Crescent, Cambridge, ON N1T 2J1 Canada.
Joaquin F Mould-QuevedoSeqirus USA Inc., 25 Deforest Avenue, Summit, NJ 07901, USA.
Mansoor AshrafSeqirus UK, 29 Market St., Maidenhead SL6 8AD, UK.
Michael F DrummondCentre for Health Economics, University of York, Heslington, York YO10 5DD, UK.
Milton C WeinsteinHarvard T.H. Chan School of Public Health, 718 Huntington Avenue, Boston, MA 02115, USA.

Funding

Seqirus USA Inc. Not applicable
6 · The paper itself

Abstract

backgroundIn response to COVID-19, the UK National Health Service (NHS) extended influenza vaccination in 50- to 64-year-olds from at-risk only to all in this age group for the 2020/21 season. The objective of this research is to determine the cost-effectiveness of continuing to vaccinate all with a quadrivalent cell-based vaccine (QIVc) compared to returning to an at-risk only policy after the pandemic resolves.

methodsA dynamic transmission model, calibrated to match infection data from the UK, was used to estimate the clinical and economic impact of vaccination across 10 influenza seasons. The base case effectiveness of QIVc was 63.9% and the list price was GBP 9.94.

resultsVaccinating 50% of all 50- to 64-year-olds with QIVc reduced the average annual number of clinical infections (-682,000), hospitalizations (-5800) and deaths (-740) in the UK. The base case incremental cost per quality-adjusted life-year gained (ICER) of all compared to at-risk only was GBP6000 (NHS perspective). When the cost of lost productivity was considered, vaccinating all 50- to 64-year-olds with QIVc became cost-saving.

conclusionVaccinating all 50- to 64-year-olds with QIVc is likely to be cost-effective. The NHS should consider continuing this policy in future seasons.

Indexed as

cost-effectivenesseconomic modelinginfluenza vaccine

Identifiers

PMID34199912
PMCPMC8228189

What OpenQuestion holds

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LicenceCC BY
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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.