Evidence map›Paper›PMID 28606814›Full record

ArticleVaccine2017

Does cost-effectiveness of influenza vaccine choice vary across the U.S.? An agent-based modeling study.

Jay V DePasse, Mary Patricia Nowalk, Kenneth J Smith, Jonathan M Raviotta, Eunha Shim, Richard K Zimmerman, Shawn T Brown

Abstract read
In one paragraph

Article in Vaccine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Impact of Low Rates of Influenza on Next-Season Influenza Infections.American journal of preventive medicine · 2022
    Article
  7. Article
  8. Observational
  9. Observational
  10. Article
  11. Article
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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

7 authors.

Jay V DePassePittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, United States.
Mary Patricia NowalkDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States. Electronic address: tnowalk@pitt.edu.
Kenneth J SmithDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Jonathan M RaviottaDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Eunha ShimDepartment of Mathematics, Soongsil University, Seoul, Republic of Korea.
Richard K ZimmermanDepartment of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States. Electronic address: zimmer@pitt.edu.
Shawn T BrownPittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, United States.

Funding

Future of influenza vaccine strategies given interference and choiceR01GM111121 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, KENNETH J, ZIMMERMAN, RICHARD K · 2014 to 2017
$1.6M
NIGMS NIH HHS R01 GM111121
6 · The paper itself

Abstract

backgroundIn a prior agent-based modeling study, offering a choice of influenza vaccine type was shown to be cost-effective when the simulated population represented the large, Washington DC metropolitan area. This study calculated the public health impact and cost-effectiveness of the same four strategies: No Choice, Pediatric Choice, Adult Choice, or Choice for Both Age Groups in five United States (U.S.) counties selected to represent extremes in population age distribution.

methodsThe choice offered was either inactivated influenza vaccine delivered intramuscularly with a needle (IIV-IM) or an age-appropriate needle-sparing vaccine, specifically, the nasal spray (LAIV) or intradermal (IIV-ID) delivery system. Using agent-based modeling, individuals were simulated as they interacted with others, and influenza was tracked as it spread through each population. Influenza vaccination coverage derived from Centers for Disease Control and Prevention (CDC) data, was increased by 6.5% (range 3.25%-11.25%) to reflect the effects of vaccine choice.

resultsAssuming moderate influenza infectivity, the number of averted cases was highest for the Choice for Both Age Groups in all five counties despite differing demographic profiles. In a cost-effectiveness analysis, Choice for Both Age Groups was the dominant strategy. Sensitivity analyses varying influenza infectivity, costs, and degrees of vaccine coverage increase due to choice, supported the base case findings.

conclusionOffering a choice to receive a needle-sparing influenza vaccine has the potential to significantly reduce influenza disease burden and to be cost saving. Consistent findings across diverse populations confirmed these findings.

Indexed as

Cost-Benefit AnalysisAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfluenza, HumanInfluenza VaccinesInjections, IntramuscularMaleMiddle AgedSystems AnalysisInfluenza VaccinesAgent-based modelingCost-effectivenessInfluenzaInfluenza vaccineVaccine choice

Identifiers

PMID28606814
PMCPMC5808929

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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.