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Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia

OBJECTIVE: To predict the cost and health effects of routine use of whole-genome sequencing (WGS) of bacterial pathogens compared with those of standard of care. DESIGN: Budget impact analysis was performed over the following 5 years. Data were primarily from sequencing results on clusters of multid...

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Autores principales: Gordon, Louisa G, Elliott, Thomas M, Forde, Brian, Mitchell, Brett, Russo, Philip L, Paterson, David L, Harris, Patrick N A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852923/
https://www.ncbi.nlm.nih.gov/pubmed/33526501
http://dx.doi.org/10.1136/bmjopen-2020-041968
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author Gordon, Louisa G
Elliott, Thomas M
Forde, Brian
Mitchell, Brett
Russo, Philip L
Paterson, David L
Harris, Patrick N A
author_facet Gordon, Louisa G
Elliott, Thomas M
Forde, Brian
Mitchell, Brett
Russo, Philip L
Paterson, David L
Harris, Patrick N A
author_sort Gordon, Louisa G
collection PubMed
description OBJECTIVE: To predict the cost and health effects of routine use of whole-genome sequencing (WGS) of bacterial pathogens compared with those of standard of care. DESIGN: Budget impact analysis was performed over the following 5 years. Data were primarily from sequencing results on clusters of multidrug-resistant organisms across 27 hospitals. Model inputs were derived from hospitalisation and sequencing data, and epidemiological and costing reports, and included multidrug resistance rates and their trends. SETTING: Queensland, Australia. PARTICIPANTS: Hospitalised patients. INTERVENTIONS: WGS surveillance of six common multidrug-resistant organisms (Staphylococcus aureus, Escherichia coli, Enterococcus faecium, Klebsiella pneumoniae, Enterobacter sp and Acinetobacter baumannii) compared with standard of care or routine microbiology testing. PRIMARY AND SECONDARY OUTCOMES: Expected hospital costs, counts of patient infections and colonisations, and deaths from bloodstream infections. RESULTS: In 2021, 97 539 patients in Queensland are expected to be infected or colonised with one of six multidrug-resistant organisms with standard of care testing. WGS surveillance strategy and earlier infection control measures could avoid 36 726 infected or colonised patients and avoid 650 deaths. The total cost under standard of care was $A170.8 million in 2021. WGS surveillance costs an additional $A26.8 million but was offset by fewer costs for cleaning, nursing, personal protective equipment, shorter hospital stays and antimicrobials to produce an overall cost savings of $30.9 million in 2021. Sensitivity analyses showed cost savings remained when input values were varied at 95% confidence limits. CONCLUSIONS: Compared with standard of care, WGS surveillance at a state-wide level could prevent a substantial number of hospital patients infected with multidrug-resistant organisms and related deaths and save healthcare costs. Primary prevention through routine use of WGS is an investment priority for the control of serious hospital-associated infections.
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spelling pubmed-78529232021-02-02 Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia Gordon, Louisa G Elliott, Thomas M Forde, Brian Mitchell, Brett Russo, Philip L Paterson, David L Harris, Patrick N A BMJ Open Health Economics OBJECTIVE: To predict the cost and health effects of routine use of whole-genome sequencing (WGS) of bacterial pathogens compared with those of standard of care. DESIGN: Budget impact analysis was performed over the following 5 years. Data were primarily from sequencing results on clusters of multidrug-resistant organisms across 27 hospitals. Model inputs were derived from hospitalisation and sequencing data, and epidemiological and costing reports, and included multidrug resistance rates and their trends. SETTING: Queensland, Australia. PARTICIPANTS: Hospitalised patients. INTERVENTIONS: WGS surveillance of six common multidrug-resistant organisms (Staphylococcus aureus, Escherichia coli, Enterococcus faecium, Klebsiella pneumoniae, Enterobacter sp and Acinetobacter baumannii) compared with standard of care or routine microbiology testing. PRIMARY AND SECONDARY OUTCOMES: Expected hospital costs, counts of patient infections and colonisations, and deaths from bloodstream infections. RESULTS: In 2021, 97 539 patients in Queensland are expected to be infected or colonised with one of six multidrug-resistant organisms with standard of care testing. WGS surveillance strategy and earlier infection control measures could avoid 36 726 infected or colonised patients and avoid 650 deaths. The total cost under standard of care was $A170.8 million in 2021. WGS surveillance costs an additional $A26.8 million but was offset by fewer costs for cleaning, nursing, personal protective equipment, shorter hospital stays and antimicrobials to produce an overall cost savings of $30.9 million in 2021. Sensitivity analyses showed cost savings remained when input values were varied at 95% confidence limits. CONCLUSIONS: Compared with standard of care, WGS surveillance at a state-wide level could prevent a substantial number of hospital patients infected with multidrug-resistant organisms and related deaths and save healthcare costs. Primary prevention through routine use of WGS is an investment priority for the control of serious hospital-associated infections. BMJ Publishing Group 2021-02-01 /pmc/articles/PMC7852923/ /pubmed/33526501 http://dx.doi.org/10.1136/bmjopen-2020-041968 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Economics
Gordon, Louisa G
Elliott, Thomas M
Forde, Brian
Mitchell, Brett
Russo, Philip L
Paterson, David L
Harris, Patrick N A
Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title_full Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title_fullStr Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title_full_unstemmed Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title_short Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia
title_sort budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in queensland, australia
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852923/
https://www.ncbi.nlm.nih.gov/pubmed/33526501
http://dx.doi.org/10.1136/bmjopen-2020-041968
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