Vaccine-Preventable Hospitalisations from Seasonal Respiratory Diseases: What Is Their True Value?

Author:

Neri Margherita1ORCID,Brassel Simon1,Schirrmacher Hannah2,Mendes Diana3,Vyse Andrew3,Steuten Lotte1,Hamson Elizabeth3

Affiliation:

1. Office of Health Economics, London SE1 2HB, UK

2. Triangulate Health, Doncaster DN11 9QU, UK

3. Pfizer Ltd., Tadworth KT20 7NT, UK

Abstract

Hospitals in England experience extremely high levels of bed occupancy in the winter. In these circumstances, vaccine-preventable hospitalisations due to seasonal respiratory infections have a high cost because of the missed opportunity to treat other patients on the waiting list. This paper estimates the number of hospitalisations that current vaccines against influenza, pneumococcal disease (PD), COVID-19, and a hypothetical Respiratory Syncytial Virus (RSV) vaccine, could prevent in the winter among older adults in England. Their costs were quantified using a conventional reference costing method and a novel opportunity costing approach considering the net monetary benefit (NMB) obtained from alternative uses of the hospital beds freed-up by vaccines. The influenza, PD and RSV vaccines could collectively prevent 72,813 bed days and save over £45 million in hospitalisation costs. The COVID-19 vaccine could prevent over 2 million bed days and save £1.3 billion. However, the value of hospital beds freed up by vaccination is likely to be 1.1–2 times larger (£48–93 million for flu, PD and RSV; £1.4–2.8 billion for COVID-19) when quantified in opportunity cost terms. Considering opportunity costs is key to ensuring maximum value is obtained from preventative budgets, as reference costing may significantly underestimate the true value of vaccines.

Funder

Pfizer Ltd

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference36 articles.

1. Thorlby, R., Gardner, T., and Turton, C. (2019). NHS Performance and Waiting Times, The Health Foundation. Available online: https://www.health.org.uk/publications/long-reads/nhs-performance-and-waiting-times.

2. NHS England (2022). Statistical Press Notice NHS Referral to Treatment (RTT) Waiting Times Data, October 2022, NHS England. Available online: https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2022/12/Oct22-RTT-SPN-publication-version-PDF-438K-39982.pdf.

3. NHS England Statistics (2022). Consultant-Led Referral to Treatment Waiting Times Data 2021–22, NHS England. Available online: https://www.england.nhs.uk/statistics/statistical-work-areas/rtt-waiting-times/rtt-data-2021-22/.

4. NHS Providers (2023). NHS Winter Watch 2022/23. Week 6, 2 January–8 January, NHS Providers. Available online: https://nhsproviders.org/nhs-winter-watch-202223/week-6.

5. Estimating the opportunity costs of bed-days;Sandmann;Health Econ.,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3