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Protocol for the economic evaluation of COVID-19 pandemic response policies

INTRODUCTION: Several treatment options are available for COVID-19 to date. However, the use of a combination of non-pharmaceutical interventions (NPIs) is necessary for jurisdictions to contain its spread. Although the implementation cost of NPIs may be low from the healthcare system perspective, i...

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Autores principales: Chua, Brandon Wen Bing, Huynh, Vinh Anh, Lou, Jing, Goh, Fang Ting, Clapham, Hannah, Teerawattananon, Yot, Wee, Hwee Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441219/
https://www.ncbi.nlm.nih.gov/pubmed/34521677
http://dx.doi.org/10.1136/bmjopen-2021-051503
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author Chua, Brandon Wen Bing
Huynh, Vinh Anh
Lou, Jing
Goh, Fang Ting
Clapham, Hannah
Teerawattananon, Yot
Wee, Hwee Lin
author_facet Chua, Brandon Wen Bing
Huynh, Vinh Anh
Lou, Jing
Goh, Fang Ting
Clapham, Hannah
Teerawattananon, Yot
Wee, Hwee Lin
author_sort Chua, Brandon Wen Bing
collection PubMed
description INTRODUCTION: Several treatment options are available for COVID-19 to date. However, the use of a combination of non-pharmaceutical interventions (NPIs) is necessary for jurisdictions to contain its spread. Although the implementation cost of NPIs may be low from the healthcare system perspective, it can be costly when considering the indirect costs from the societal perspective. COVID-19 vaccination campaigns have begun in several countries worldwide. Nonetheless, the quantity of vaccines available remain limited over the next 1 to 2 years. A tool for informing vaccine prioritisation that considers both cost and effectiveness will be highly useful. This study aims to identify the most cost-effective combination of COVID-19 response policies, using Singapore as an example. METHODS AND ANALYSIS: An age-stratified Susceptible-Exposed-Infectious-Recovered model will be used to generate the number of infections stratified by disease severity under different intervention scenarios. Polices of interest include test-trace-isolate, travel restriction, compulsory face mask and hygiene practices, social distancing, dexamethasone/remdesivir therapy and vaccination. The latest phase 3 trial results and the WHO Target Product Profiles for COVID-19 vaccines will be used to model vaccine characteristics. A cost (expected resource utilisation and productivity losses) and quality-adjusted life years (QALYs) will be attached to these outputs for a cost-utility analysis. The primary outcome measure will be the incremental cost-effectiveness ratio generated from the incremental cost of policy alternatives expressed as a ratio of the incremental benefits (QALYs gained). Efficacy of policy options will be gathered from literature review and from its observed impacts in Singapore. Cost data will be gathered from healthcare institutions, Ministry of Health and published data. Sensitivity analysis such as threshold analysis and scenario analysis will be conducted. ETHICS AND DISSEMINATION: Ethics approval was not required for this study. The study findings will be disseminated through peer-reviewed journals.
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spelling pubmed-84412192021-09-16 Protocol for the economic evaluation of COVID-19 pandemic response policies Chua, Brandon Wen Bing Huynh, Vinh Anh Lou, Jing Goh, Fang Ting Clapham, Hannah Teerawattananon, Yot Wee, Hwee Lin BMJ Open Health Economics INTRODUCTION: Several treatment options are available for COVID-19 to date. However, the use of a combination of non-pharmaceutical interventions (NPIs) is necessary for jurisdictions to contain its spread. Although the implementation cost of NPIs may be low from the healthcare system perspective, it can be costly when considering the indirect costs from the societal perspective. COVID-19 vaccination campaigns have begun in several countries worldwide. Nonetheless, the quantity of vaccines available remain limited over the next 1 to 2 years. A tool for informing vaccine prioritisation that considers both cost and effectiveness will be highly useful. This study aims to identify the most cost-effective combination of COVID-19 response policies, using Singapore as an example. METHODS AND ANALYSIS: An age-stratified Susceptible-Exposed-Infectious-Recovered model will be used to generate the number of infections stratified by disease severity under different intervention scenarios. Polices of interest include test-trace-isolate, travel restriction, compulsory face mask and hygiene practices, social distancing, dexamethasone/remdesivir therapy and vaccination. The latest phase 3 trial results and the WHO Target Product Profiles for COVID-19 vaccines will be used to model vaccine characteristics. A cost (expected resource utilisation and productivity losses) and quality-adjusted life years (QALYs) will be attached to these outputs for a cost-utility analysis. The primary outcome measure will be the incremental cost-effectiveness ratio generated from the incremental cost of policy alternatives expressed as a ratio of the incremental benefits (QALYs gained). Efficacy of policy options will be gathered from literature review and from its observed impacts in Singapore. Cost data will be gathered from healthcare institutions, Ministry of Health and published data. Sensitivity analysis such as threshold analysis and scenario analysis will be conducted. ETHICS AND DISSEMINATION: Ethics approval was not required for this study. The study findings will be disseminated through peer-reviewed journals. BMJ Publishing Group 2021-09-14 /pmc/articles/PMC8441219/ /pubmed/34521677 http://dx.doi.org/10.1136/bmjopen-2021-051503 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Economics
Chua, Brandon Wen Bing
Huynh, Vinh Anh
Lou, Jing
Goh, Fang Ting
Clapham, Hannah
Teerawattananon, Yot
Wee, Hwee Lin
Protocol for the economic evaluation of COVID-19 pandemic response policies
title Protocol for the economic evaluation of COVID-19 pandemic response policies
title_full Protocol for the economic evaluation of COVID-19 pandemic response policies
title_fullStr Protocol for the economic evaluation of COVID-19 pandemic response policies
title_full_unstemmed Protocol for the economic evaluation of COVID-19 pandemic response policies
title_short Protocol for the economic evaluation of COVID-19 pandemic response policies
title_sort protocol for the economic evaluation of covid-19 pandemic response policies
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441219/
https://www.ncbi.nlm.nih.gov/pubmed/34521677
http://dx.doi.org/10.1136/bmjopen-2021-051503
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