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Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts
BACKGROUND: We projected the clinical and economic impact of alternative testing strategies on COVID-19 incidence and mortality in Massachusetts using a microsimulation model. METHODS: We compared five testing strategies: 1) PCR-severe-only: PCR testing only patients with severe/critical symptoms; 2...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386528/ https://www.ncbi.nlm.nih.gov/pubmed/32743604 http://dx.doi.org/10.1101/2020.07.23.20160820 |
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author | Neilan, Anne M. Losina, Elena Bangs, Audrey C. Flanagan, Clare Panella, Christopher Eskibozkurt, G. Ege Mohareb, Amir Hyle, Emily P. Scott, Justine A. Weinstein, Milton C. Siedner, Mark J. Reddy, Krishna P. Harling, Guy Freedberg, Kenneth A. Shebl, Fatma M. Kazemian, Pooyan Ciaranello, Andrea L. |
author_facet | Neilan, Anne M. Losina, Elena Bangs, Audrey C. Flanagan, Clare Panella, Christopher Eskibozkurt, G. Ege Mohareb, Amir Hyle, Emily P. Scott, Justine A. Weinstein, Milton C. Siedner, Mark J. Reddy, Krishna P. Harling, Guy Freedberg, Kenneth A. Shebl, Fatma M. Kazemian, Pooyan Ciaranello, Andrea L. |
author_sort | Neilan, Anne M. |
collection | PubMed |
description | BACKGROUND: We projected the clinical and economic impact of alternative testing strategies on COVID-19 incidence and mortality in Massachusetts using a microsimulation model. METHODS: We compared five testing strategies: 1) PCR-severe-only: PCR testing only patients with severe/critical symptoms; 2) Self-screen: PCR-severe-only plus self-assessment of COVID-19- consistent symptoms with self-isolation if positive; 3) PCR-any-symptom: PCR for any COVID-19-consistent symptoms with self-isolation if positive; 4) PCR-all: PCR-any-symptom and one-time PCR for the entire population; and, 5) PCR-all-repeat: PCR-all with monthly re-testing. We examined effective reproduction numbers (R(e), 0.9-2.0) at which policy conclusions would change. We used published data on disease progression and mortality, transmission, PCR sensitivity/specificity (70/100%) and costs. Model-projected outcomes included infections, deaths, tests performed, hospital-days, and costs over 180-days, as well as incremental cost-effectiveness ratios (ICERs, $/quality-adjusted life-year [QALY]). RESULTS: In all scenarios, PCR-all-repeat would lead to the best clinical outcomes and PCR-severe-only would lead to the worst; at R(e) 0.9, PCR-all-repeat vs. PCR-severe-only resulted in a 63% reduction in infections and a 44% reduction in deaths, but required >65-fold more tests/day with 4-fold higher costs. PCR-all-repeat had an ICER <$100,000/QALY only when R(e) ≥1.8. At all R(e) values, PCR-any-symptom was cost-saving compared to other strategies. CONCLUSIONS: Testing people with any COVID-19-consistent symptoms would be cost-saving compared to restricting testing to only those with symptoms severe enough to warrant hospital care. Expanding PCR testing to asymptomatic people would decrease infections, deaths, and hospitalizations. Universal screening would be cost-effective when paired with monthly retesting in settings where the COVID-19 pandemic is surging. |
format | Online Article Text |
id | pubmed-7386528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-73865282020-07-31 Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts Neilan, Anne M. Losina, Elena Bangs, Audrey C. Flanagan, Clare Panella, Christopher Eskibozkurt, G. Ege Mohareb, Amir Hyle, Emily P. Scott, Justine A. Weinstein, Milton C. Siedner, Mark J. Reddy, Krishna P. Harling, Guy Freedberg, Kenneth A. Shebl, Fatma M. Kazemian, Pooyan Ciaranello, Andrea L. medRxiv Article BACKGROUND: We projected the clinical and economic impact of alternative testing strategies on COVID-19 incidence and mortality in Massachusetts using a microsimulation model. METHODS: We compared five testing strategies: 1) PCR-severe-only: PCR testing only patients with severe/critical symptoms; 2) Self-screen: PCR-severe-only plus self-assessment of COVID-19- consistent symptoms with self-isolation if positive; 3) PCR-any-symptom: PCR for any COVID-19-consistent symptoms with self-isolation if positive; 4) PCR-all: PCR-any-symptom and one-time PCR for the entire population; and, 5) PCR-all-repeat: PCR-all with monthly re-testing. We examined effective reproduction numbers (R(e), 0.9-2.0) at which policy conclusions would change. We used published data on disease progression and mortality, transmission, PCR sensitivity/specificity (70/100%) and costs. Model-projected outcomes included infections, deaths, tests performed, hospital-days, and costs over 180-days, as well as incremental cost-effectiveness ratios (ICERs, $/quality-adjusted life-year [QALY]). RESULTS: In all scenarios, PCR-all-repeat would lead to the best clinical outcomes and PCR-severe-only would lead to the worst; at R(e) 0.9, PCR-all-repeat vs. PCR-severe-only resulted in a 63% reduction in infections and a 44% reduction in deaths, but required >65-fold more tests/day with 4-fold higher costs. PCR-all-repeat had an ICER <$100,000/QALY only when R(e) ≥1.8. At all R(e) values, PCR-any-symptom was cost-saving compared to other strategies. CONCLUSIONS: Testing people with any COVID-19-consistent symptoms would be cost-saving compared to restricting testing to only those with symptoms severe enough to warrant hospital care. Expanding PCR testing to asymptomatic people would decrease infections, deaths, and hospitalizations. Universal screening would be cost-effective when paired with monthly retesting in settings where the COVID-19 pandemic is surging. Cold Spring Harbor Laboratory 2020-07-24 /pmc/articles/PMC7386528/ /pubmed/32743604 http://dx.doi.org/10.1101/2020.07.23.20160820 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (http://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Article Neilan, Anne M. Losina, Elena Bangs, Audrey C. Flanagan, Clare Panella, Christopher Eskibozkurt, G. Ege Mohareb, Amir Hyle, Emily P. Scott, Justine A. Weinstein, Milton C. Siedner, Mark J. Reddy, Krishna P. Harling, Guy Freedberg, Kenneth A. Shebl, Fatma M. Kazemian, Pooyan Ciaranello, Andrea L. Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title | Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title_full | Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title_fullStr | Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title_full_unstemmed | Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title_short | Clinical Impact, Costs, and Cost-Effectiveness of Expanded SARS-CoV-2 Testing in Massachusetts |
title_sort | clinical impact, costs, and cost-effectiveness of expanded sars-cov-2 testing in massachusetts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386528/ https://www.ncbi.nlm.nih.gov/pubmed/32743604 http://dx.doi.org/10.1101/2020.07.23.20160820 |
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