Time and cost of administering COVID-19 mRNA vaccines in the United States.


Journal

Human vaccines & immunotherapeutics
ISSN: 2164-554X
Titre abrégé: Hum Vaccin Immunother
Pays: United States
ID NLM: 101572652

Informations de publication

Date de publication:
02 11 2021
Historique:
pubmed: 7 10 2021
medline: 15 1 2022
entrez: 6 10 2021
Statut: ppublish

Résumé

In early 2020, the World Health Organization (WHO) declared the coronavirus disease 2019 (COVID-19) outbreak a global pandemic. In response, two novel messenger RNA (mRNA)-based vaccines: mRNA-1273 (Moderna) and BNT162b2 (Pfizer-BioNTech) were rapidly developed. A thorough understanding of the differences in workflow requirements between the two vaccines may lead to improved efficiencies and reduced economic burden, both of which are crucial for streamlining vaccine deployment and minimizing wastage. Vaccine administration workflow costs are borne by providers and reimbursed separately from dose acquisition in the United States. Currently, mRNA-1273 and BNT162b2 are the most administered COVID-19 vaccines in the United States. In this study, US-licensed and practicing pharmacists were interviewed to collect data on differences in terms of labor costs associated with the workflows for mRNA-1273 and BNT162b2. Results suggest the cost differential for mRNA-1273 compared to BNT162b2 is -$0.82 (or -$1.01 when assuming volume equivalency). If extrapolated to even just a proportion of the remaining unvaccinated US population, this can amount to significant workflow efficiencies and lower vaccine administration costs. Further, as key differences in the vaccine workflow steps between the two vaccines would be similar in other settings/regions, these findings are likely transferable to health-care systems worldwide.

Identifiants

pubmed: 34613860
doi: 10.1080/21645515.2021.1974289
pmc: PMC8828150
doi:

Substances chimiques

COVID-19 Vaccines 0
RNA, Messenger 0
Vaccines, Synthetic 0
mRNA Vaccines 0
2019-nCoV Vaccine mRNA-1273 EPK39PL4R4
BNT162 Vaccine N38TVC63NU

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3871-3875

Références

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Auteurs

Benjamin Yarnoff (B)

Health Economics Program, Research Triangle Institute (RTI) International, Research Triangle Park, NC, USA.

Steven Bodhaine (S)

Healthcare Research & Analytics, Cranbury, NJ, USA.

Ed Cohen (E)

MJH Life Sciences, East Windsor, NJ, USA.

Philip O Buck (PO)

Health Economics and Outcomes Research, Moderna, Inc, Cambridge, MA, USA.

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Classifications MeSH