Abstract
ObjectiveTo predict the cost and health effects of routine use of whole-genome sequencing (WGS) of bacterial pathogens compared with those of standard of care.DesignBudget 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.SettingQueensland, Australia.ParticipantsHospitalised patients.InterventionsWGS 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 outcomesExpected hospital costs, counts of patient infections and colonisations, and deaths from bloodstream infections.ResultsIn 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.ConclusionsCompared 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.
Reference30 articles.
1. The burden of healthcare-associated infection in Australian hospitals: a systematic review of the literature;Mitchell;Infect Dis Health,2017
2. Australian Institute of Health and Welfare (AIHW) . General record of incidence of mortality (GRIM) data, Cat. No: PHE 229. Canberra: AIHW, 2019. https://www.aihw.gov.au/reports/life-expectancy-deaths/grim-books
3. LM L , Grassly NC , Fraser C . Genomic analysis of emerging pathogens: methods, application and future trends. Genome biology 2014;15:541.
4. Genomic surveillance of methicillin-resistant Staphylococcus aureus: a mathematical early modeling study of cost-effectiveness;Dymond;Clinical Infectious Diseases,2020
5. Elliott TM , Lee XJ , Foeglein A , et al . A hybrid simulation model approach to examine bacterial genome sequencing during a hospital outbreak. BMC Infect Dis 2020;20:72. doi:10.1186/s12879-019-4743-3
Cited by
30 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献