Evidence map›Paper›PMID 34357843›Full record

ArticleJournal of medical economics

Economic value of vaccines to address the COVID-19 pandemic: a U.S. cost-effectiveness and budget impact analysis.

William V Padula, Shreena Malaviya, Natalie M Reid, Benjamin G Cohen, Francine Chingcuanco, Jeromie Ballreich, Jonothan Tierce, G Caleb Alexander

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical economics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 8 pooled it
7.6field-weighted citation impact, top 2% of its field
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

40 citing papers in PubMed, 8 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  6. Diagnostics and Treatments of COVID-19: A Living Systematic Review of Economic Evaluations.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022
    Pooled it
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  8. Economic evaluation of programs against COVID-19: A systematic review.International journal of surgery (London, England) · 2021
    Pooled it
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  14. COVID-19-related health utility values and changes in COVID-19 patients and the general population: a scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  19. The effect of vaccination during the COVID-19 for the restaurant industry.International journal of hospitality management · 2023
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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

8 authors at 3 institutions in 1 country.

William V PadulaDepartment of Pharmaceutical & Health Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-1161-6954
Shreena MalaviyaMonument Analytics, Baltimore, MD, USA.
Natalie M ReidMonument Analytics, Baltimore, MD, USA.
Benjamin G CohenMonument Analytics, Baltimore, MD, USA.
Francine ChingcuancoMonument Analytics, Baltimore, MD, USA.
Jeromie BallreichMonument Analytics, Baltimore, MD, USA.
Jonothan TierceMonument Analytics, Baltimore, MD, USA.
G Caleb AlexanderMonument Analytics, Baltimore, MD, USA.
Johns Hopkins University · USPostnova Analytics (United States) · USUniversity of Southern California · US

Funding

Mentored Career DevelopmentKL2TR001854 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Elizabeth Rhea Erwin Burner, Amy Elizabeth West · 2016 to 2026
$9.0M
NCATS NIH HHS KL2 TR001854
6 · The paper itself

Abstract

aimsThe Novel Coronavirus (COVID-19) has infected over two hundred million worldwide and caused 4.4 million of deaths as of August 2021. Vaccines were quickly developed to address the pandemic. We sought to analyze the cost-effectiveness and budget impact of a non-specified vaccine for COVID-19. MATERIALS AND

methodsWe constructed a Markov model of COVID-19 infections using a susceptible-exposed-infected-recovered structure over a 1-year time horizon from a U.S. healthcare sector perspective. The model consisted of two arms: do nothing and COVID-19 vaccine. Hospitalization and mortality rates were calibrated to U.S. COVID-19 reports as of November 2020. We performed economic calculations of costs in 2020 U.S. dollars and effectiveness in units of quality-adjusted life years (QALYs) to measure the budget impact and incremental cost-effectiveness at a $100,000/QALY threshold.

resultsVaccines have a high probability of reducing healthcare costs and increasing QALYs compared to doing nothing. Simulations showed reductions in hospital days and mortality by more than 50%. Even though this represents a major U.S. investment, the budget impacts of these technologies could save program costs by up to 60% or more if uptake is high. LIMITATIONS: The economic evaluation draws on the reported values of the clinical benefits of COVID-19 vaccines, although we do not currently have long-term conclusive data about COVID-19 vaccine efficacies.

conclusionsSpending on vaccines to mitigate COVID-19 infections offer high-value potential that society should consider. Unusually high uptake in vaccines in a short amount of time could result in unprecedented budget impacts to government and commercial payers. Governments should focus on expanding health system infrastructure and subsidizing payer coverage to deliver these vaccines efficiently.

Indexed as

COVID-19VaccinesCost-Benefit AnalysisCOVID-19 VaccinesHumansPandemicsQuality-Adjusted Life YearsSARS-CoV-2COVID-19 VaccinesVaccinesbudget impact analysiscoronaviruscost-benefit analysiscost-effectiveness analysisCOVID-19DD6D61drug pricingII1I11infectious diseasetreatmentvaccine

Identifiers

PMID34357843
PMCPMC9897209
OpenAlexW3188269274

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.