Evidence map›Paper›PMID 23645539›Full record

ArticlePharmacoEconomics2013

Understanding the cost-effectiveness of influenza vaccination in children: methodological choices and seasonal variability.

Anthony T Newall, Juan Pablo Dehollain, Prudence Creighton, Philippe Beutels, James G Wood

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In one paragraph

Article in PharmacoEconomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. WHO guide on the economic evaluation of influenza vaccination.Influenza and other respiratory viruses · 2018
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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

5 authors.

Anthony T NewallSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia. a.newall@unsw.edu.au
Juan Pablo Dehollain
Prudence Creighton
Philippe Beutels
James G Wood

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe universal vaccination of children for influenza has recently been recommended in the UK and is being considered in other developed countries.

objectivesThe aim of this study was to explore the potential costs and benefits of childhood influenza vaccination to gain a better understanding of the key drivers of cost-effectiveness.

methodsAs our case study we examined the cost-effectiveness of vaccination in Australian schoolchildren using an age-stratified Susceptible Exposed Infectious Recovered model.

resultsThe results of this study highlight the critical role that methodological choices play in determining the cost-effectiveness of influenza vaccination. These choices include decisions about the structure of the model (including/excluding herd immunity) and what costs and benefits to include in the analysis. In scenarios where herd protection was included we estimated that the program was likely to be cost-effective. The study also illustrates the importance of the inherent seasonal variability of influenza, which can produce counter-intuitive results, with low transmission seasons being easier to control by vaccination but resulting in fewer benefits.

conclusionsUniversal childhood influenza vaccination is likely to be cost-effective if a substantial herd protection effect can be achieved by the program. However, it is important that decision makers understand the role of seasonal variability and the impact of alternative methodological choices in economic evaluations of influenza vaccination.

Indexed as

AdolescentChildChild, PreschoolCost-Benefit AnalysisHumansInfluenza VaccinesQuality-Adjusted Life YearsSeasonsVaccinationInfluenza Vaccines

Identifiers

What OpenQuestion holds

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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.