Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients
Cluster randomized trials of staff vaccination in these settings have consistently shown benefit to residents (2–5) and this evidence has been used to support influenza vaccination of healthcare workers more generally. Since part of the rationale for vaccinating healthcare workers is patient protect...
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description | Cluster randomized trials of staff vaccination in these settings have consistently shown benefit to residents (2–5) and this evidence has been used to support influenza vaccination of healthcare workers more generally. Since part of the rationale for vaccinating healthcare workers is patient protection some employers have chosen to make staff vaccination a condition of employment, which has led to legal challenge. [...]De Serres et al assert that the cluster-randomized trials violate the principle of dilution whereby the greatest reductions should be observed in the most specific outcomes (e.g. greater relative reductions would be expected for laboratory confirmed influenza than for all cause mortality). Since the studies were not adequately powered to assess which outcomes had the greatest reductions and the confidence intervals for all outcomes overlap we do not agree that the studies individually or collectively violate this principle. [...]as discussed above, the statistical uncertainty around estimates of effect mean that whilst we can be confident that there was a highly significant reduction in all cause mortality we do not know whether this represents a greater reduction than that in influenza like illness deaths. [...]De Serres et al’s main criticism is that if the numbers needed to vaccinate (NNV) to prevent one death in our study were extrapolated to all LTCF staff in the US the number of deaths averted would be considerably greater than the annual number of deaths estimated to be due to influenza in the US. |
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Since part of the rationale for vaccinating healthcare workers is patient protection some employers have chosen to make staff vaccination a condition of employment, which has led to legal challenge. [...]De Serres et al assert that the cluster-randomized trials violate the principle of dilution whereby the greatest reductions should be observed in the most specific outcomes (e.g. greater relative reductions would be expected for laboratory confirmed influenza than for all cause mortality). Since the studies were not adequately powered to assess which outcomes had the greatest reductions and the confidence intervals for all outcomes overlap we do not agree that the studies individually or collectively violate this principle. [...]as discussed above, the statistical uncertainty around estimates of effect mean that whilst we can be confident that there was a highly significant reduction in all cause mortality we do not know whether this represents a greater reduction than that in influenza like illness deaths. [...]De Serres et al’s main criticism is that if the numbers needed to vaccinate (NNV) to prevent one death in our study were extrapolated to all LTCF staff in the US the number of deaths averted would be considerably greater than the annual number of deaths estimated to be due to influenza in the US.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0169023</identifier><identifier>PMID: 28129326</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Biology and Life Sciences ; Control ; Disease transmission ; Dosage and administration ; Formal Comment ; Frailty ; Health aspects ; Health care ; Health Personnel - statistics & numerical data ; Health Services for the Aged - statistics & numerical data ; Humans ; Infectious Disease Transmission, Professional-to-Patient - prevention & control ; Influenza ; Influenza vaccines ; Influenza Vaccines - administration & dosage ; Influenza, Human - transmission ; Long-Term Care - statistics & numerical data ; Medical personnel ; Medicine and Health Sciences ; Methods ; Mortality ; Patient care ; People and Places ; Prevention ; Systematic review ; Vaccination ; Vaccination - methods ; Vaccines ; Workers</subject><ispartof>PloS one, 2017-01, Vol.12 (1), p.e0169023-e0169023</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Andrew C. Hayward. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Andrew C. Hayward 2017 Andrew C. Hayward</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-22af78f0e7947ae83c6ee74b6cb89221f0804225dd5a4b8273689225a88f22ff3</citedby><cites>FETCH-LOGICAL-c692t-22af78f0e7947ae83c6ee74b6cb89221f0804225dd5a4b8273689225a88f22ff3</cites><orcidid>0000-0002-3549-6232</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271312/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271312/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28129326$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hayward, Andrew C</creatorcontrib><title>Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Cluster randomized trials of staff vaccination in these settings have consistently shown benefit to residents (2–5) and this evidence has been used to support influenza vaccination of healthcare workers more generally. Since part of the rationale for vaccinating healthcare workers is patient protection some employers have chosen to make staff vaccination a condition of employment, which has led to legal challenge. [...]De Serres et al assert that the cluster-randomized trials violate the principle of dilution whereby the greatest reductions should be observed in the most specific outcomes (e.g. greater relative reductions would be expected for laboratory confirmed influenza than for all cause mortality). Since the studies were not adequately powered to assess which outcomes had the greatest reductions and the confidence intervals for all outcomes overlap we do not agree that the studies individually or collectively violate this principle. [...]as discussed above, the statistical uncertainty around estimates of effect mean that whilst we can be confident that there was a highly significant reduction in all cause mortality we do not know whether this represents a greater reduction than that in influenza like illness deaths. [...]De Serres et al’s main criticism is that if the numbers needed to vaccinate (NNV) to prevent one death in our study were extrapolated to all LTCF staff in the US the number of deaths averted would be considerably greater than the annual number of deaths estimated to be due to influenza in the US.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biology and Life Sciences</subject><subject>Control</subject><subject>Disease transmission</subject><subject>Dosage and administration</subject><subject>Formal Comment</subject><subject>Frailty</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Health Personnel - statistics & numerical data</subject><subject>Health Services for the Aged - statistics & numerical data</subject><subject>Humans</subject><subject>Infectious Disease Transmission, Professional-to-Patient - prevention & control</subject><subject>Influenza</subject><subject>Influenza vaccines</subject><subject>Influenza Vaccines - administration & dosage</subject><subject>Influenza, Human - transmission</subject><subject>Long-Term Care - statistics & numerical data</subject><subject>Medical personnel</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Mortality</subject><subject>Patient care</subject><subject>People and Places</subject><subject>Prevention</subject><subject>Systematic review</subject><subject>Vaccination</subject><subject>Vaccination - methods</subject><subject>Vaccines</subject><subject>Workers</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk8Fu1DAQhiMEoqXwBggsISE47GI7ieNckFYV0EiVitqyHK2JY-9mSezUThDwDrwz3t20bFAPKIdE4-__xzOZiaLnBM9JnJF3Gzs4A828s0bNMWE5pvGD6JjkMZ0xiuOHB99H0RPvNxinMWfscXREOaHhjB1Hvwujm0GZX4CWIGVtoK-tQVajMwVNv5bgFPpq3TflPCo8AoOKtrOuB9OjRdc5C3KNtHXoUlVD0K_QtQPj29r70ehvBu1si6560Br1Fi2HxigHZaPQ55BVmd4_jR5paLx6Nr5Poi8fP1yfns3OLz4Vp4vzmWQ57WeUgs64xirLkwwUjyVTKktKJkueU0o05jihNK2qFJKS0yxm23gKnGtKtY5Popd7366xXoyd9IJwRmnCGaGBKPZEZWEjOle34H4KC7XYBaxbCXB9LRslciJVlTOeas2TJJYlI5VmJa2CT7BLgtf7MdtQtqqSoVIHzcR0emLqtVjZ7yKlGYl3l3kzGjh7Myjfi9BeqZoGjLLD_t4Zo4xnAX31D3p_dSO1glBAbbQNeeXWVCySLCcUJxgHan4PFZ5KtbUMY6frEJ8I3k4EgenVj34Fg_eiuLr8f_ZiOWVfH7Dr3WB62wzbUfVTMNmD0lnvndJ3TSZYbLfmthtiuzVi3Joge3H4g-5Et2sS_wF4WhK-</recordid><startdate>20170127</startdate><enddate>20170127</enddate><creator>Hayward, Andrew C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3549-6232</orcidid></search><sort><creationdate>20170127</creationdate><title>Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients</title><author>Hayward, Andrew C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-22af78f0e7947ae83c6ee74b6cb89221f0804225dd5a4b8273689225a88f22ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biology and Life Sciences</topic><topic>Control</topic><topic>Disease transmission</topic><topic>Dosage and administration</topic><topic>Formal Comment</topic><topic>Frailty</topic><topic>Health aspects</topic><topic>Health care</topic><topic>Health Personnel - statistics & numerical data</topic><topic>Health Services for the Aged - statistics & numerical data</topic><topic>Humans</topic><topic>Infectious Disease Transmission, Professional-to-Patient - prevention & control</topic><topic>Influenza</topic><topic>Influenza vaccines</topic><topic>Influenza Vaccines - administration & dosage</topic><topic>Influenza, Human - transmission</topic><topic>Long-Term Care - statistics & numerical data</topic><topic>Medical personnel</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Mortality</topic><topic>Patient care</topic><topic>People and Places</topic><topic>Prevention</topic><topic>Systematic review</topic><topic>Vaccination</topic><topic>Vaccination - methods</topic><topic>Vaccines</topic><topic>Workers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayward, Andrew C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayward, Andrew C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-01-27</date><risdate>2017</risdate><volume>12</volume><issue>1</issue><spage>e0169023</spage><epage>e0169023</epage><pages>e0169023-e0169023</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Cluster randomized trials of staff vaccination in these settings have consistently shown benefit to residents (2–5) and this evidence has been used to support influenza vaccination of healthcare workers more generally. Since part of the rationale for vaccinating healthcare workers is patient protection some employers have chosen to make staff vaccination a condition of employment, which has led to legal challenge. [...]De Serres et al assert that the cluster-randomized trials violate the principle of dilution whereby the greatest reductions should be observed in the most specific outcomes (e.g. greater relative reductions would be expected for laboratory confirmed influenza than for all cause mortality). Since the studies were not adequately powered to assess which outcomes had the greatest reductions and the confidence intervals for all outcomes overlap we do not agree that the studies individually or collectively violate this principle. [...]as discussed above, the statistical uncertainty around estimates of effect mean that whilst we can be confident that there was a highly significant reduction in all cause mortality we do not know whether this represents a greater reduction than that in influenza like illness deaths. [...]De Serres et al’s main criticism is that if the numbers needed to vaccinate (NNV) to prevent one death in our study were extrapolated to all LTCF staff in the US the number of deaths averted would be considerably greater than the annual number of deaths estimated to be due to influenza in the US.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28129326</pmid><doi>10.1371/journal.pone.0169023</doi><tpages>e0169023</tpages><orcidid>https://orcid.org/0000-0002-3549-6232</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Biology and Life Sciences Control Disease transmission Dosage and administration Formal Comment Frailty Health aspects Health care Health Personnel - statistics & numerical data Health Services for the Aged - statistics & numerical data Humans Infectious Disease Transmission, Professional-to-Patient - prevention & control Influenza Influenza vaccines Influenza Vaccines - administration & dosage Influenza, Human - transmission Long-Term Care - statistics & numerical data Medical personnel Medicine and Health Sciences Methods Mortality Patient care People and Places Prevention Systematic review Vaccination Vaccination - methods Vaccines Workers |
title | Influenza Vaccination of Healthcare Workers Is an Important Approach for Reducing Transmission of Influenza from Staff to Vulnerable Patients |
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