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How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment
BACKGROUND: Because immunizing large numbers of healthy people could be required to reduce a relatively small number of infections, disease incidence has a large impact on cost effectiveness, even if the infection is associated with very serious health outcomes. In addition to cost effectiveness, th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744670/ https://www.ncbi.nlm.nih.gov/pubmed/36509960 http://dx.doi.org/10.1007/s40271-022-00602-x |
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author | Johnson, F. Reed Fairchild, Angelyn Whittington, Dale Srivastava, Amit K. Gonzalez, Juan Marcos Huang, Liping |
author_facet | Johnson, F. Reed Fairchild, Angelyn Whittington, Dale Srivastava, Amit K. Gonzalez, Juan Marcos Huang, Liping |
author_sort | Johnson, F. Reed |
collection | PubMed |
description | BACKGROUND: Because immunizing large numbers of healthy people could be required to reduce a relatively small number of infections, disease incidence has a large impact on cost effectiveness, even if the infection is associated with very serious health outcomes. In addition to cost effectiveness, the US Advisory Committee on Immunization Practices requires evidence of stakeholders’ values and preferences to help inform vaccine recommendations. This study quantified general-population preferences for vaccine trade-offs among disease severity, disease incidence, and other vaccine features. METHODS: We developed a best-practice discrete choice experiment survey and administered it to 1185 parents of children aged 12–23 years and 1203 young adults aged 18–25 years from a national opt-in consumer panel. The data were analyzed using exploded-logit latent-class analysis. RESULTS: Latent-class analysis identified two classes with similar relative-importance weights in both samples. One of the two classes represented about half the samples and had preferences consistent with well-structured, logically ordered, and acceptably precise stated-preference utility. Preferences for the other half of the samples were poorly defined over the ranges of vaccine and disease attributes evaluated. Both parents and young adults in the first class evaluated protection from a disease with 1 in 100 incidence and full recovery at home as having statistically the same preference utility as a disease with 1 in 1 million incidence requiring hospitalization and resulting in permanent deafness. CONCLUSIONS: The results suggest that vaccines that protect against low-incidence, severe-outcome diseases, provide ‘peace of mind’ benefits not captured by standard health-outcome metrics. The fact that half the respondents had poorly defined vaccine preferences is a reminder of the challenges of implementing patient-centric vaccine decision making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00602-x. |
format | Online Article Text |
id | pubmed-9744670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97446702022-12-13 How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment Johnson, F. Reed Fairchild, Angelyn Whittington, Dale Srivastava, Amit K. Gonzalez, Juan Marcos Huang, Liping Patient Original Research Article BACKGROUND: Because immunizing large numbers of healthy people could be required to reduce a relatively small number of infections, disease incidence has a large impact on cost effectiveness, even if the infection is associated with very serious health outcomes. In addition to cost effectiveness, the US Advisory Committee on Immunization Practices requires evidence of stakeholders’ values and preferences to help inform vaccine recommendations. This study quantified general-population preferences for vaccine trade-offs among disease severity, disease incidence, and other vaccine features. METHODS: We developed a best-practice discrete choice experiment survey and administered it to 1185 parents of children aged 12–23 years and 1203 young adults aged 18–25 years from a national opt-in consumer panel. The data were analyzed using exploded-logit latent-class analysis. RESULTS: Latent-class analysis identified two classes with similar relative-importance weights in both samples. One of the two classes represented about half the samples and had preferences consistent with well-structured, logically ordered, and acceptably precise stated-preference utility. Preferences for the other half of the samples were poorly defined over the ranges of vaccine and disease attributes evaluated. Both parents and young adults in the first class evaluated protection from a disease with 1 in 100 incidence and full recovery at home as having statistically the same preference utility as a disease with 1 in 1 million incidence requiring hospitalization and resulting in permanent deafness. CONCLUSIONS: The results suggest that vaccines that protect against low-incidence, severe-outcome diseases, provide ‘peace of mind’ benefits not captured by standard health-outcome metrics. The fact that half the respondents had poorly defined vaccine preferences is a reminder of the challenges of implementing patient-centric vaccine decision making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00602-x. Springer International Publishing 2022-12-13 2023 /pmc/articles/PMC9744670/ /pubmed/36509960 http://dx.doi.org/10.1007/s40271-022-00602-x Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, corrected publication 2023Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Article Johnson, F. Reed Fairchild, Angelyn Whittington, Dale Srivastava, Amit K. Gonzalez, Juan Marcos Huang, Liping How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title | How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title_full | How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title_fullStr | How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title_full_unstemmed | How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title_short | How Does the Public Evaluate Vaccines for Low-Incidence, Severe-Outcome Diseases? A General-Population Choice Experiment |
title_sort | how does the public evaluate vaccines for low-incidence, severe-outcome diseases? a general-population choice experiment |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744670/ https://www.ncbi.nlm.nih.gov/pubmed/36509960 http://dx.doi.org/10.1007/s40271-022-00602-x |
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