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The effectiveness and efficiency of asymptomatic SARS-CoV-2 testing strategies for patient and healthcare workers within acute NHS hospitals during an omicron-like period
Asymptomatic SARS-CoV-2 testing of hospitalised patients began in April-2020, with twice weekly healthcare worker (HCW) testing introduced in November-2020. Guidance recommending asymptomatic testing was withdrawn in August-2022. Assessing the impact of this decision from data alone is challenging d...
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Published in: | BMC infectious diseases 2024-01, Vol.24 (1), p.64-13, Article 64 |
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description | Asymptomatic SARS-CoV-2 testing of hospitalised patients began in April-2020, with twice weekly healthcare worker (HCW) testing introduced in November-2020. Guidance recommending asymptomatic testing was withdrawn in August-2022. Assessing the impact of this decision from data alone is challenging due to concurrent changes in infection prevention and control practices, community transmission rates, and a reduction in ascertainment rate from reduced testing. Computational modelling is an effective tool for estimating the impact of this change.
Using a computational model of SARS-CoV-2 transmission in an English hospital we estimate the effectiveness of several asymptomatic testing strategies, namely; (1) Symptomatic testing of patients and HCWs, (2) testing of all patients on admission with/without repeat testing on days 3 and 5-7, and (3) symptomatic testing plus twice weekly asymptomatic HCW testing with 70% compliance. We estimate the number of patient and HCW infections, HCW absences, number of tests, and tests per case averted or absence avoided, with differing community prevalence rates over a 12-week period.
Testing asymptomatic patients on admission reduces the rate of nosocomial SARS-CoV-2 infection by 8.1-21.5%. Additional testing at days 3 and 5-7 post admission does not significantly reduce infection rates. Twice weekly asymptomatic HCW testing can reduce the proportion of HCWs infected by 1.0-4.4% and monthly absences by 0.4-0.8%. Testing asymptomatic patients repeatedly requires up to 5.5 million patient tests over the period, and twice weekly asymptomatic HCW testing increases the total tests to almost 30 million. The most efficient patient testing strategy (in terms of tests required to prevent a single patient infection) was testing asymptomatic patients on admission across all prevalence levels. The least efficient was repeated testing of patients with twice weekly asymptomatic HCW testing in a low prevalence scenario, and in all other prevalence levels symptomatic patient testing with regular HCW testing was least efficient.
Testing patients on admission can reduce the rate of nosocomial SARS-CoV-2 infection but there is little benefit of additional post-admission testing. Asymptomatic HCW testing has little incremental benefit for reducing patient cases at low prevalence but has a potential role at higher prevalence or with low community transmission. A full health-economic evaluation is required to determine the cost-effectiveness of th |
doi_str_mv | 10.1186/s12879-023-08948-9 |
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Using a computational model of SARS-CoV-2 transmission in an English hospital we estimate the effectiveness of several asymptomatic testing strategies, namely; (1) Symptomatic testing of patients and HCWs, (2) testing of all patients on admission with/without repeat testing on days 3 and 5-7, and (3) symptomatic testing plus twice weekly asymptomatic HCW testing with 70% compliance. We estimate the number of patient and HCW infections, HCW absences, number of tests, and tests per case averted or absence avoided, with differing community prevalence rates over a 12-week period.
Testing asymptomatic patients on admission reduces the rate of nosocomial SARS-CoV-2 infection by 8.1-21.5%. Additional testing at days 3 and 5-7 post admission does not significantly reduce infection rates. Twice weekly asymptomatic HCW testing can reduce the proportion of HCWs infected by 1.0-4.4% and monthly absences by 0.4-0.8%. Testing asymptomatic patients repeatedly requires up to 5.5 million patient tests over the period, and twice weekly asymptomatic HCW testing increases the total tests to almost 30 million. The most efficient patient testing strategy (in terms of tests required to prevent a single patient infection) was testing asymptomatic patients on admission across all prevalence levels. The least efficient was repeated testing of patients with twice weekly asymptomatic HCW testing in a low prevalence scenario, and in all other prevalence levels symptomatic patient testing with regular HCW testing was least efficient.
Testing patients on admission can reduce the rate of nosocomial SARS-CoV-2 infection but there is little benefit of additional post-admission testing. Asymptomatic HCW testing has little incremental benefit for reducing patient cases at low prevalence but has a potential role at higher prevalence or with low community transmission. A full health-economic evaluation is required to determine the cost-effectiveness of these strategies.</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/s12879-023-08948-9</identifier><identifier>PMID: 38191324</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Asymptomatic ; Computer applications ; Computer industry ; COVID-19 ; COVID-19 - diagnosis ; COVID-19 - epidemiology ; COVID-19 Testing ; COVID-19 vaccines ; Cross Infection - diagnosis ; Cross Infection - prevention & control ; Disease transmission ; Effectiveness ; Efficiency ; Health care ; Health Personnel ; Hospital patients ; Hospitals ; Humans ; Infection ; Lateral flow testing ; Length of stay ; Management ; Medical examination ; Medical personnel ; Medical research ; Medical tests ; Medicine, Experimental ; Methods ; Modelling ; Nosocomial infection ; Nosocomial infections ; Pandemics ; Patients ; Prevention ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Simulation ; State Medicine ; United Kingdom ; United States</subject><ispartof>BMC infectious diseases, 2024-01, Vol.24 (1), p.64-13, Article 64</ispartof><rights>2024. Crown.</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Crown 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c583t-ee4e25fadfcc456d5abde370ad4387591ceceec4e2f0d691851c1bad0be87d13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10775431/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2914279915?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25733,27903,27904,36991,36992,44569,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38191324$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Evans, Stephanie</creatorcontrib><creatorcontrib>Naylor, Nichola R</creatorcontrib><creatorcontrib>Fowler, Tom</creatorcontrib><creatorcontrib>Hopkins, Susan</creatorcontrib><creatorcontrib>Robotham, Julie</creatorcontrib><title>The effectiveness and efficiency of asymptomatic SARS-CoV-2 testing strategies for patient and healthcare workers within acute NHS hospitals during an omicron-like period</title><title>BMC infectious diseases</title><addtitle>BMC Infect Dis</addtitle><description>Asymptomatic SARS-CoV-2 testing of hospitalised patients began in April-2020, with twice weekly healthcare worker (HCW) testing introduced in November-2020. Guidance recommending asymptomatic testing was withdrawn in August-2022. Assessing the impact of this decision from data alone is challenging due to concurrent changes in infection prevention and control practices, community transmission rates, and a reduction in ascertainment rate from reduced testing. Computational modelling is an effective tool for estimating the impact of this change.
Using a computational model of SARS-CoV-2 transmission in an English hospital we estimate the effectiveness of several asymptomatic testing strategies, namely; (1) Symptomatic testing of patients and HCWs, (2) testing of all patients on admission with/without repeat testing on days 3 and 5-7, and (3) symptomatic testing plus twice weekly asymptomatic HCW testing with 70% compliance. We estimate the number of patient and HCW infections, HCW absences, number of tests, and tests per case averted or absence avoided, with differing community prevalence rates over a 12-week period.
Testing asymptomatic patients on admission reduces the rate of nosocomial SARS-CoV-2 infection by 8.1-21.5%. Additional testing at days 3 and 5-7 post admission does not significantly reduce infection rates. Twice weekly asymptomatic HCW testing can reduce the proportion of HCWs infected by 1.0-4.4% and monthly absences by 0.4-0.8%. Testing asymptomatic patients repeatedly requires up to 5.5 million patient tests over the period, and twice weekly asymptomatic HCW testing increases the total tests to almost 30 million. The most efficient patient testing strategy (in terms of tests required to prevent a single patient infection) was testing asymptomatic patients on admission across all prevalence levels. The least efficient was repeated testing of patients with twice weekly asymptomatic HCW testing in a low prevalence scenario, and in all other prevalence levels symptomatic patient testing with regular HCW testing was least efficient.
Testing patients on admission can reduce the rate of nosocomial SARS-CoV-2 infection but there is little benefit of additional post-admission testing. Asymptomatic HCW testing has little incremental benefit for reducing patient cases at low prevalence but has a potential role at higher prevalence or with low community transmission. A full health-economic evaluation is required to determine the cost-effectiveness of these strategies.</description><subject>Analysis</subject><subject>Asymptomatic</subject><subject>Computer applications</subject><subject>Computer industry</subject><subject>COVID-19</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 Testing</subject><subject>COVID-19 vaccines</subject><subject>Cross Infection - diagnosis</subject><subject>Cross Infection - prevention & control</subject><subject>Disease transmission</subject><subject>Effectiveness</subject><subject>Efficiency</subject><subject>Health care</subject><subject>Health Personnel</subject><subject>Hospital patients</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infection</subject><subject>Lateral flow testing</subject><subject>Length of stay</subject><subject>Management</subject><subject>Medical examination</subject><subject>Medical personnel</subject><subject>Medical research</subject><subject>Medical tests</subject><subject>Medicine, Experimental</subject><subject>Methods</subject><subject>Modelling</subject><subject>Nosocomial infection</subject><subject>Nosocomial infections</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Prevention</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Simulation</subject><subject>State Medicine</subject><subject>United Kingdom</subject><subject>United States</subject><issn>1471-2334</issn><issn>1471-2334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk89u1DAQxiMEoqXwAhyQJS7lkBI7cf6c0GoFdKWKSt1Vr5ZjTxK3iR1sp2VfiafE2S2lizggH2yNf_PZ_jwTRW9xcoZxmX90mJRFFSckjZOyysq4ehYd46zAMUnT7PmT9VH0yrmbJMFFSaqX0VFa4gqnJDuOfm46QNA0ILy6Aw3OIa7lHFFCgRZbZBrE3XYYvRm4VwKtF1freGmuY4I8OK90i5y33EOrwKHGWDQGDrTfCXXAe98JbgHdG3sL1qF75TulEReTB_TtfI0640blee-QnOysxzUygxLW6LhXt4BGsMrI19GLJkDw5mE-iTZfPm-W5_HF5dfVcnERC1qmPgbIgNCGy0aIjOaS8lpCWiRcZmlZ0AoLEAAiQE0i8wqXFAtcc5nUUBYSpyfRai8rDb9ho1UDt1tmuGK7gLEt4zYY0QOrG1wnUMtwSpbVmFcyz3MqSJDJ6lzKoPVprzVO9QBSBFcs7w9ED3e06lhr7hhOioJm6Xyb0wcFa75PwW82KCeg77kGMzlGKkwooTRPA_r-L_TGTFYHq2YqI0VVYfqHanl4gdKNCQeLWZQtiqIMhUF31Nk_qDAkhI8xGhoV4gcJHw4SAuPhh2_55Bxbra_-n728PmTJng3V4JyF5tE8nLC5C9i-C1joArbrAlaFpHdPbX9M-V326S8MZQTa</recordid><startdate>20240108</startdate><enddate>20240108</enddate><creator>Evans, Stephanie</creator><creator>Naylor, Nichola R</creator><creator>Fowler, Tom</creator><creator>Hopkins, Susan</creator><creator>Robotham, Julie</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240108</creationdate><title>The effectiveness and efficiency of asymptomatic SARS-CoV-2 testing strategies for patient and healthcare workers within acute NHS hospitals during an omicron-like period</title><author>Evans, Stephanie ; Naylor, Nichola R ; Fowler, Tom ; Hopkins, Susan ; Robotham, Julie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c583t-ee4e25fadfcc456d5abde370ad4387591ceceec4e2f0d691851c1bad0be87d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analysis</topic><topic>Asymptomatic</topic><topic>Computer applications</topic><topic>Computer industry</topic><topic>COVID-19</topic><topic>COVID-19 - diagnosis</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 Testing</topic><topic>COVID-19 vaccines</topic><topic>Cross Infection - diagnosis</topic><topic>Cross Infection - prevention & control</topic><topic>Disease transmission</topic><topic>Effectiveness</topic><topic>Efficiency</topic><topic>Health care</topic><topic>Health Personnel</topic><topic>Hospital patients</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infection</topic><topic>Lateral flow testing</topic><topic>Length of stay</topic><topic>Management</topic><topic>Medical examination</topic><topic>Medical personnel</topic><topic>Medical research</topic><topic>Medical tests</topic><topic>Medicine, Experimental</topic><topic>Methods</topic><topic>Modelling</topic><topic>Nosocomial infection</topic><topic>Nosocomial infections</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Prevention</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Simulation</topic><topic>State Medicine</topic><topic>United Kingdom</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Evans, Stephanie</creatorcontrib><creatorcontrib>Naylor, Nichola R</creatorcontrib><creatorcontrib>Fowler, Tom</creatorcontrib><creatorcontrib>Hopkins, Susan</creatorcontrib><creatorcontrib>Robotham, Julie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints In Context</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Evans, Stephanie</au><au>Naylor, Nichola R</au><au>Fowler, Tom</au><au>Hopkins, Susan</au><au>Robotham, Julie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The effectiveness and efficiency of asymptomatic SARS-CoV-2 testing strategies for patient and healthcare workers within acute NHS hospitals during an omicron-like period</atitle><jtitle>BMC infectious diseases</jtitle><addtitle>BMC Infect Dis</addtitle><date>2024-01-08</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>64</spage><epage>13</epage><pages>64-13</pages><artnum>64</artnum><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>Asymptomatic SARS-CoV-2 testing of hospitalised patients began in April-2020, with twice weekly healthcare worker (HCW) testing introduced in November-2020. Guidance recommending asymptomatic testing was withdrawn in August-2022. Assessing the impact of this decision from data alone is challenging due to concurrent changes in infection prevention and control practices, community transmission rates, and a reduction in ascertainment rate from reduced testing. Computational modelling is an effective tool for estimating the impact of this change.
Using a computational model of SARS-CoV-2 transmission in an English hospital we estimate the effectiveness of several asymptomatic testing strategies, namely; (1) Symptomatic testing of patients and HCWs, (2) testing of all patients on admission with/without repeat testing on days 3 and 5-7, and (3) symptomatic testing plus twice weekly asymptomatic HCW testing with 70% compliance. We estimate the number of patient and HCW infections, HCW absences, number of tests, and tests per case averted or absence avoided, with differing community prevalence rates over a 12-week period.
Testing asymptomatic patients on admission reduces the rate of nosocomial SARS-CoV-2 infection by 8.1-21.5%. Additional testing at days 3 and 5-7 post admission does not significantly reduce infection rates. Twice weekly asymptomatic HCW testing can reduce the proportion of HCWs infected by 1.0-4.4% and monthly absences by 0.4-0.8%. Testing asymptomatic patients repeatedly requires up to 5.5 million patient tests over the period, and twice weekly asymptomatic HCW testing increases the total tests to almost 30 million. The most efficient patient testing strategy (in terms of tests required to prevent a single patient infection) was testing asymptomatic patients on admission across all prevalence levels. The least efficient was repeated testing of patients with twice weekly asymptomatic HCW testing in a low prevalence scenario, and in all other prevalence levels symptomatic patient testing with regular HCW testing was least efficient.
Testing patients on admission can reduce the rate of nosocomial SARS-CoV-2 infection but there is little benefit of additional post-admission testing. Asymptomatic HCW testing has little incremental benefit for reducing patient cases at low prevalence but has a potential role at higher prevalence or with low community transmission. A full health-economic evaluation is required to determine the cost-effectiveness of these strategies.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38191324</pmid><doi>10.1186/s12879-023-08948-9</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Asymptomatic Computer applications Computer industry COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 Testing COVID-19 vaccines Cross Infection - diagnosis Cross Infection - prevention & control Disease transmission Effectiveness Efficiency Health care Health Personnel Hospital patients Hospitals Humans Infection Lateral flow testing Length of stay Management Medical examination Medical personnel Medical research Medical tests Medicine, Experimental Methods Modelling Nosocomial infection Nosocomial infections Pandemics Patients Prevention SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Simulation State Medicine United Kingdom United States |
title | The effectiveness and efficiency of asymptomatic SARS-CoV-2 testing strategies for patient and healthcare workers within acute NHS hospitals during an omicron-like period |
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