Evidence map›Paper›PMID 41485174›Full record

ReviewPharmacoEconomics2026

Estimating the Value of Combination Vaccines: A Methodological Framework.

Mark Jit, Allison Portnoy, Clint Pecenka, William P Hausdorff, Christopher Gill

Erratum issuedAbstract readReview
In one paragraph

Review in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mark JitDepartment of Global and Environmental Health, School of Global Public Health, New York University, New York, NY, USA. mark.jit@nyu.edu.ORCID http://orcid.org/0000-0001-6658-8255
Allison PortnoyDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
Clint PecenkaPATH, Seattle, WA, USA.
William P HausdorffPATH, Washington, DC, USA.
Christopher GillGlobal Health/Integrated Clinical Vaccine Development, Gates Foundation, Seattle, WA, USA.

Funding

Bill and Melinda Gates Foundation INV-074429Bill and Melinda Gates Foundation INV-086830
6 · The paper itself

Abstract

Combination vaccines combine several components in a single dose administration. They offer programmatic and public health advantages, particularly as vaccine schedules become increasingly crowded. They are often more expensive to develop and produce, which discourages manufacturer investment without clear market signals. Hence their benefits need to be captured with existing health economic evaluation reference cases used by decision-makers to guide vaccine investments. We propose that the value of combination vaccines can be captured through at least four domains: (1) reductions in tangible and intangible costs to caregivers, (2) operational efficiencies to the health system, (3) opportunity costs of vaccine schedule slots, and (4) more streamlined vaccine schedules. We demonstrate the practicality of our framework by comparing the value of introducing a hypothetical vaccine to a crowded schedule as a standalone formulation, a replacement for a vaccine already in the schedule, or a combination product. The framework could also be applied to estimate the value of reducing the number of separate administrations needed for a standalone vaccine. Applying it in real-world situations could be facilitated by further data collection, particularly on collating results on the value of existing vaccines in the schedule and estimating willingness-to-pay for fewer vaccine administrations.

Indexed as

Models, EconomicVaccines, CombinedCost-Benefit AnalysisHumansImmunization ScheduleVaccinationVaccines, Combined

Identifiers

PMID41485174
PMCPMC13110238

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.