Cargando…

Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis

Cost-effectiveness analysis (CEA) is a well-known, but resource intensive, method for comparing the costs and health outcomes of health interventions. To build on available evidence, researchers are developing methods to transfer CEA across settings; previous methods do not use all available results...

Descripción completa

Detalles Bibliográficos
Autores principales: Rosettie, Katherine L., Joffe, Jonah N., Sparks, Gianna W., Aravkin, Aleksandr, Chen, Shirley, Compton, Kelly, Ewald, Samuel B., Mathew, Edwin B., Michael, Danielle, Pedroza Velandia, Paola, Miller-Petrie, Molly B., Stafford, Lauryn, Zheng, Peng, Weaver, Marcia R., Murray, Christopher J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687557/
https://www.ncbi.nlm.nih.gov/pubmed/34928971
http://dx.doi.org/10.1371/journal.pone.0260808
_version_ 1784618196876132352
author Rosettie, Katherine L.
Joffe, Jonah N.
Sparks, Gianna W.
Aravkin, Aleksandr
Chen, Shirley
Compton, Kelly
Ewald, Samuel B.
Mathew, Edwin B.
Michael, Danielle
Pedroza Velandia, Paola
Miller-Petrie, Molly B.
Stafford, Lauryn
Zheng, Peng
Weaver, Marcia R.
Murray, Christopher J. L.
author_facet Rosettie, Katherine L.
Joffe, Jonah N.
Sparks, Gianna W.
Aravkin, Aleksandr
Chen, Shirley
Compton, Kelly
Ewald, Samuel B.
Mathew, Edwin B.
Michael, Danielle
Pedroza Velandia, Paola
Miller-Petrie, Molly B.
Stafford, Lauryn
Zheng, Peng
Weaver, Marcia R.
Murray, Christopher J. L.
author_sort Rosettie, Katherine L.
collection PubMed
description Cost-effectiveness analysis (CEA) is a well-known, but resource intensive, method for comparing the costs and health outcomes of health interventions. To build on available evidence, researchers are developing methods to transfer CEA across settings; previous methods do not use all available results nor quantify differences across settings. We conducted a meta-regression analysis of published CEAs of human papillomavirus (HPV) vaccination to quantify the effects of factors at the country, intervention, and method-level, and predict incremental cost-effectiveness ratios (ICERs) for HPV vaccination in 195 countries. We used 613 ICERs reported in 75 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry, and extracted an additional 1,215 one-way sensitivity analyses. A five-stage, mixed-effects meta-regression framework was used to predict country-specific ICERs. The probability that HPV vaccination is cost-saving in each country was predicted using a logistic regression model. Covariates for both models included methods and intervention characteristics, and each country’s cervical cancer burden and gross domestic product per capita. ICERs are positively related to vaccine cost, and negatively related to cervical cancer burden. The mean predicted ICER for HPV vaccination is 2017 US$4,217 per DALY averted (95% uncertainty interval (UI): US$773–13,448) globally, and below US$800 per DALY averted in 64 countries. Predicted ICERs are lowest in Sub-Saharan Africa and South Asia, with a population-weighted mean ICER across 46 countries of US$706 per DALY averted (95% UI: $130–2,245), and across five countries of US$489 per DALY averted (95% UI: $90–1,557), respectively. Meta-regression analyses can be conducted on CEA, where one-way sensitivity analyses are used to quantify the effects of factors at the intervention and method-level. Building on all published results, our predictions support introducing and expanding HPV vaccination, especially in countries that are eligible for subsidized vaccines from GAVI, the Vaccine Alliance, and Pan American Health Organization.
format Online
Article
Text
id pubmed-8687557
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-86875572021-12-21 Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis Rosettie, Katherine L. Joffe, Jonah N. Sparks, Gianna W. Aravkin, Aleksandr Chen, Shirley Compton, Kelly Ewald, Samuel B. Mathew, Edwin B. Michael, Danielle Pedroza Velandia, Paola Miller-Petrie, Molly B. Stafford, Lauryn Zheng, Peng Weaver, Marcia R. Murray, Christopher J. L. PLoS One Research Article Cost-effectiveness analysis (CEA) is a well-known, but resource intensive, method for comparing the costs and health outcomes of health interventions. To build on available evidence, researchers are developing methods to transfer CEA across settings; previous methods do not use all available results nor quantify differences across settings. We conducted a meta-regression analysis of published CEAs of human papillomavirus (HPV) vaccination to quantify the effects of factors at the country, intervention, and method-level, and predict incremental cost-effectiveness ratios (ICERs) for HPV vaccination in 195 countries. We used 613 ICERs reported in 75 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry, and extracted an additional 1,215 one-way sensitivity analyses. A five-stage, mixed-effects meta-regression framework was used to predict country-specific ICERs. The probability that HPV vaccination is cost-saving in each country was predicted using a logistic regression model. Covariates for both models included methods and intervention characteristics, and each country’s cervical cancer burden and gross domestic product per capita. ICERs are positively related to vaccine cost, and negatively related to cervical cancer burden. The mean predicted ICER for HPV vaccination is 2017 US$4,217 per DALY averted (95% uncertainty interval (UI): US$773–13,448) globally, and below US$800 per DALY averted in 64 countries. Predicted ICERs are lowest in Sub-Saharan Africa and South Asia, with a population-weighted mean ICER across 46 countries of US$706 per DALY averted (95% UI: $130–2,245), and across five countries of US$489 per DALY averted (95% UI: $90–1,557), respectively. Meta-regression analyses can be conducted on CEA, where one-way sensitivity analyses are used to quantify the effects of factors at the intervention and method-level. Building on all published results, our predictions support introducing and expanding HPV vaccination, especially in countries that are eligible for subsidized vaccines from GAVI, the Vaccine Alliance, and Pan American Health Organization. Public Library of Science 2021-12-20 /pmc/articles/PMC8687557/ /pubmed/34928971 http://dx.doi.org/10.1371/journal.pone.0260808 Text en © 2021 Rosettie et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rosettie, Katherine L.
Joffe, Jonah N.
Sparks, Gianna W.
Aravkin, Aleksandr
Chen, Shirley
Compton, Kelly
Ewald, Samuel B.
Mathew, Edwin B.
Michael, Danielle
Pedroza Velandia, Paola
Miller-Petrie, Molly B.
Stafford, Lauryn
Zheng, Peng
Weaver, Marcia R.
Murray, Christopher J. L.
Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title_full Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title_fullStr Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title_full_unstemmed Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title_short Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis
title_sort cost-effectiveness of hpv vaccination in 195 countries: a meta-regression analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687557/
https://www.ncbi.nlm.nih.gov/pubmed/34928971
http://dx.doi.org/10.1371/journal.pone.0260808
work_keys_str_mv AT rosettiekatherinel costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT joffejonahn costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT sparksgiannaw costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT aravkinaleksandr costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT chenshirley costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT comptonkelly costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT ewaldsamuelb costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT mathewedwinb costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT michaeldanielle costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT pedrozavelandiapaola costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT millerpetriemollyb costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT staffordlauryn costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT zhengpeng costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT weavermarciar costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis
AT murraychristopherjl costeffectivenessofhpvvaccinationin195countriesametaregressionanalysis