Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records

•We estimated influenza vaccine effectiveness (VE) using electronic health records.•Based on 7270 patient records, VE ranged from 46% in 2012 to 60% in 2014.•VE estimates were similar to those from existing regional surveillance programs.•Electronic health records may facilitate timely and efficient...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Vaccine 2019-01, Vol.37 (5), p.755-762
Hauptverfasser: Regan, Annette K., Gibbs, Robyn, Bloomfield, Lauren, Effler, Paul V.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 762
container_issue 5
container_start_page 755
container_title Vaccine
container_volume 37
creator Regan, Annette K.
Gibbs, Robyn
Bloomfield, Lauren
Effler, Paul V.
description •We estimated influenza vaccine effectiveness (VE) using electronic health records.•Based on 7270 patient records, VE ranged from 46% in 2012 to 60% in 2014.•VE estimates were similar to those from existing regional surveillance programs.•Electronic health records may facilitate timely and efficient estimation of VE. To support timely, annual estimation of influenza vaccine effectiveness (VE), we explored the use of automated data extraction from general practice records to estimate VE over four consecutive southern hemisphere influenza seasons. A software tool installed at 130 practices in Western Australia identified all outpatients tested for influenza by polymerase-chain-reaction (PCR) during annual influenza seasons occurring 2012–2015. Laboratory test results were collated with any existing record of influenza vaccine administered in the same year; limited patient demographic and clinical information was also collected. A case test-negative control analysis compared the odds of seasonal influenza vaccination between patients positive or negative for influenza by PCR with VE = 1 − the odds ratio. A total of 7270 influenza PCR test results were identified of which 1907 (26.2%) were positive; 9.4% of patients with a positive result had received contemporaneous influenza vaccination ≥14 days prior to specimen collection, compared to 17.9% of those with a negative result. Overall VE was 52% (95% CI, 43–60%); annual VE estimates ranged from 46% (95% CI, 22–63%) in 2012 to 60% (95% CI, 41–73%) in 2014. Electronic records routinely maintained by general practice provide a promising opportunity for estimating annual influenza VE in a timely and resource-efficient manner.
doi_str_mv 10.1016/j.vaccine.2018.12.006
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2162774556</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0264410X18316517</els_id><sourcerecordid>2168125664</sourcerecordid><originalsourceid>FETCH-LOGICAL-c393t-a0dab5230871d3b902302a78f513ae3f08fa36d09c799e737643d1e26ed989403</originalsourceid><addsrcrecordid>eNqFkUFv1DAQhS0EotuFnwCyxIVL0hk7cZITQlWhSJV6oVJvlteeIK-8TrGTlcqvx6sNHLhw8hy-98bzHmPvEGoEVFf7-mis9ZFqAdjXKGoA9YJtsO9kJVrsX7INCNVUDcLjBbvMeQ8ArcThNbuQoAAQhw0LN3n2BzP7-IP7OIaF4i_DV2tO40h29keKlDNf8olyZjY8TUuRUHjm5mh8MLtARc4pFDxN0Vv-lIpteubWJOKJ7JRcfsNejSZkeru-W_bw5eb79W11d__12_Xnu8rKQc6VAWd2rZDQd-jkboAyCtP1Y4vSkByhH41UDgbbDQN1slONdEhCkRv6oQG5ZR_Pvk9p-rlQnvXBZ0shmEjTkrVAJbquaVtV0A__oPtpSbH87kT1KFpV3LesPVM2TTknGvV6nkbQpzr0Xq-Z6VMdGoUudRTd-9V92R3I_VX9yb8An84AlTiOnpLO1lO05HzJbNZu8v9Z8RucqJ7e</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2168125664</pqid></control><display><type>article</type><title>Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Regan, Annette K. ; Gibbs, Robyn ; Bloomfield, Lauren ; Effler, Paul V.</creator><creatorcontrib>Regan, Annette K. ; Gibbs, Robyn ; Bloomfield, Lauren ; Effler, Paul V.</creatorcontrib><description>•We estimated influenza vaccine effectiveness (VE) using electronic health records.•Based on 7270 patient records, VE ranged from 46% in 2012 to 60% in 2014.•VE estimates were similar to those from existing regional surveillance programs.•Electronic health records may facilitate timely and efficient estimation of VE. To support timely, annual estimation of influenza vaccine effectiveness (VE), we explored the use of automated data extraction from general practice records to estimate VE over four consecutive southern hemisphere influenza seasons. A software tool installed at 130 practices in Western Australia identified all outpatients tested for influenza by polymerase-chain-reaction (PCR) during annual influenza seasons occurring 2012–2015. Laboratory test results were collated with any existing record of influenza vaccine administered in the same year; limited patient demographic and clinical information was also collected. A case test-negative control analysis compared the odds of seasonal influenza vaccination between patients positive or negative for influenza by PCR with VE = 1 − the odds ratio. A total of 7270 influenza PCR test results were identified of which 1907 (26.2%) were positive; 9.4% of patients with a positive result had received contemporaneous influenza vaccination ≥14 days prior to specimen collection, compared to 17.9% of those with a negative result. Overall VE was 52% (95% CI, 43–60%); annual VE estimates ranged from 46% (95% CI, 22–63%) in 2012 to 60% (95% CI, 41–73%) in 2014. Electronic records routinely maintained by general practice provide a promising opportunity for estimating annual influenza VE in a timely and resource-efficient manner.</description><identifier>ISSN: 0264-410X</identifier><identifier>EISSN: 1873-2518</identifier><identifier>DOI: 10.1016/j.vaccine.2018.12.006</identifier><identifier>PMID: 30600119</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Age ; Asthma ; Cardiovascular disease ; Case-Control Studies ; Demographics ; Diabetes ; Electronic health records ; Electronic Health Records - statistics &amp; numerical data ; Estimates ; Estimation ; Female ; Health care ; Humans ; Identification methods ; Influenza ; Influenza A Virus, H1N1 Subtype - immunology ; Influenza A Virus, H3N2 Subtype - immunology ; Influenza B virus - immunology ; Influenza Vaccines - administration &amp; dosage ; Influenza Vaccines - standards ; Influenza, Human - prevention &amp; control ; Laboratories ; Laboratory tests ; Male ; Middle Aged ; Odds Ratio ; Outpatients ; Patients ; Polymerase chain reaction ; Primary care ; Primary health care ; Primary Health Care - statistics &amp; numerical data ; Seasons ; Sentinel Surveillance ; Software ; Software development tools ; Southern Hemisphere ; Surveillance ; Test-negative design ; Vaccination ; Vaccine effectiveness ; Vaccine efficacy ; Vaccines ; Vaccines and immunisation ; Young Adult</subject><ispartof>Vaccine, 2019-01, Vol.37 (5), p.755-762</ispartof><rights>2018</rights><rights>Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jan 29, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-a0dab5230871d3b902302a78f513ae3f08fa36d09c799e737643d1e26ed989403</citedby><cites>FETCH-LOGICAL-c393t-a0dab5230871d3b902302a78f513ae3f08fa36d09c799e737643d1e26ed989403</cites><orcidid>0000-0002-3879-6193</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0264410X18316517$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30600119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Regan, Annette K.</creatorcontrib><creatorcontrib>Gibbs, Robyn</creatorcontrib><creatorcontrib>Bloomfield, Lauren</creatorcontrib><creatorcontrib>Effler, Paul V.</creatorcontrib><title>Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records</title><title>Vaccine</title><addtitle>Vaccine</addtitle><description>•We estimated influenza vaccine effectiveness (VE) using electronic health records.•Based on 7270 patient records, VE ranged from 46% in 2012 to 60% in 2014.•VE estimates were similar to those from existing regional surveillance programs.•Electronic health records may facilitate timely and efficient estimation of VE. To support timely, annual estimation of influenza vaccine effectiveness (VE), we explored the use of automated data extraction from general practice records to estimate VE over four consecutive southern hemisphere influenza seasons. A software tool installed at 130 practices in Western Australia identified all outpatients tested for influenza by polymerase-chain-reaction (PCR) during annual influenza seasons occurring 2012–2015. Laboratory test results were collated with any existing record of influenza vaccine administered in the same year; limited patient demographic and clinical information was also collected. A case test-negative control analysis compared the odds of seasonal influenza vaccination between patients positive or negative for influenza by PCR with VE = 1 − the odds ratio. A total of 7270 influenza PCR test results were identified of which 1907 (26.2%) were positive; 9.4% of patients with a positive result had received contemporaneous influenza vaccination ≥14 days prior to specimen collection, compared to 17.9% of those with a negative result. Overall VE was 52% (95% CI, 43–60%); annual VE estimates ranged from 46% (95% CI, 22–63%) in 2012 to 60% (95% CI, 41–73%) in 2014. Electronic records routinely maintained by general practice provide a promising opportunity for estimating annual influenza VE in a timely and resource-efficient manner.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Asthma</subject><subject>Cardiovascular disease</subject><subject>Case-Control Studies</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Electronic health records</subject><subject>Electronic Health Records - statistics &amp; numerical data</subject><subject>Estimates</subject><subject>Estimation</subject><subject>Female</subject><subject>Health care</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Influenza</subject><subject>Influenza A Virus, H1N1 Subtype - immunology</subject><subject>Influenza A Virus, H3N2 Subtype - immunology</subject><subject>Influenza B virus - immunology</subject><subject>Influenza Vaccines - administration &amp; dosage</subject><subject>Influenza Vaccines - standards</subject><subject>Influenza, Human - prevention &amp; control</subject><subject>Laboratories</subject><subject>Laboratory tests</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Odds Ratio</subject><subject>Outpatients</subject><subject>Patients</subject><subject>Polymerase chain reaction</subject><subject>Primary care</subject><subject>Primary health care</subject><subject>Primary Health Care - statistics &amp; numerical data</subject><subject>Seasons</subject><subject>Sentinel Surveillance</subject><subject>Software</subject><subject>Software development tools</subject><subject>Southern Hemisphere</subject><subject>Surveillance</subject><subject>Test-negative design</subject><subject>Vaccination</subject><subject>Vaccine effectiveness</subject><subject>Vaccine efficacy</subject><subject>Vaccines</subject><subject>Vaccines and immunisation</subject><subject>Young Adult</subject><issn>0264-410X</issn><issn>1873-2518</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkUFv1DAQhS0EotuFnwCyxIVL0hk7cZITQlWhSJV6oVJvlteeIK-8TrGTlcqvx6sNHLhw8hy-98bzHmPvEGoEVFf7-mis9ZFqAdjXKGoA9YJtsO9kJVrsX7INCNVUDcLjBbvMeQ8ArcThNbuQoAAQhw0LN3n2BzP7-IP7OIaF4i_DV2tO40h29keKlDNf8olyZjY8TUuRUHjm5mh8MLtARc4pFDxN0Vv-lIpteubWJOKJ7JRcfsNejSZkeru-W_bw5eb79W11d__12_Xnu8rKQc6VAWd2rZDQd-jkboAyCtP1Y4vSkByhH41UDgbbDQN1slONdEhCkRv6oQG5ZR_Pvk9p-rlQnvXBZ0shmEjTkrVAJbquaVtV0A__oPtpSbH87kT1KFpV3LesPVM2TTknGvV6nkbQpzr0Xq-Z6VMdGoUudRTd-9V92R3I_VX9yb8An84AlTiOnpLO1lO05HzJbNZu8v9Z8RucqJ7e</recordid><startdate>20190129</startdate><enddate>20190129</enddate><creator>Regan, Annette K.</creator><creator>Gibbs, Robyn</creator><creator>Bloomfield, Lauren</creator><creator>Effler, Paul V.</creator><general>Elsevier Ltd</general><general>Elsevier Limited</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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7T2</scope><scope>7T5</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3879-6193</orcidid></search><sort><creationdate>20190129</creationdate><title>Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records</title><author>Regan, Annette K. ; Gibbs, Robyn ; Bloomfield, Lauren ; Effler, Paul V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-a0dab5230871d3b902302a78f513ae3f08fa36d09c799e737643d1e26ed989403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Asthma</topic><topic>Cardiovascular disease</topic><topic>Case-Control Studies</topic><topic>Demographics</topic><topic>Diabetes</topic><topic>Electronic health records</topic><topic>Electronic Health Records - statistics &amp; numerical data</topic><topic>Estimates</topic><topic>Estimation</topic><topic>Female</topic><topic>Health care</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Influenza</topic><topic>Influenza A Virus, H1N1 Subtype - immunology</topic><topic>Influenza A Virus, H3N2 Subtype - immunology</topic><topic>Influenza B virus - immunology</topic><topic>Influenza Vaccines - administration &amp; dosage</topic><topic>Influenza Vaccines - standards</topic><topic>Influenza, Human - prevention &amp; control</topic><topic>Laboratories</topic><topic>Laboratory tests</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Outpatients</topic><topic>Patients</topic><topic>Polymerase chain reaction</topic><topic>Primary care</topic><topic>Primary health care</topic><topic>Primary Health Care - statistics &amp; numerical data</topic><topic>Seasons</topic><topic>Sentinel Surveillance</topic><topic>Software</topic><topic>Software development tools</topic><topic>Southern Hemisphere</topic><topic>Surveillance</topic><topic>Test-negative design</topic><topic>Vaccination</topic><topic>Vaccine effectiveness</topic><topic>Vaccine efficacy</topic><topic>Vaccines</topic><topic>Vaccines and immunisation</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Regan, Annette K.</creatorcontrib><creatorcontrib>Gibbs, Robyn</creatorcontrib><creatorcontrib>Bloomfield, Lauren</creatorcontrib><creatorcontrib>Effler, Paul V.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech 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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Vaccine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Regan, Annette K.</au><au>Gibbs, Robyn</au><au>Bloomfield, Lauren</au><au>Effler, Paul V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records</atitle><jtitle>Vaccine</jtitle><addtitle>Vaccine</addtitle><date>2019-01-29</date><risdate>2019</risdate><volume>37</volume><issue>5</issue><spage>755</spage><epage>762</epage><pages>755-762</pages><issn>0264-410X</issn><eissn>1873-2518</eissn><abstract>•We estimated influenza vaccine effectiveness (VE) using electronic health records.•Based on 7270 patient records, VE ranged from 46% in 2012 to 60% in 2014.•VE estimates were similar to those from existing regional surveillance programs.•Electronic health records may facilitate timely and efficient estimation of VE. To support timely, annual estimation of influenza vaccine effectiveness (VE), we explored the use of automated data extraction from general practice records to estimate VE over four consecutive southern hemisphere influenza seasons. A software tool installed at 130 practices in Western Australia identified all outpatients tested for influenza by polymerase-chain-reaction (PCR) during annual influenza seasons occurring 2012–2015. Laboratory test results were collated with any existing record of influenza vaccine administered in the same year; limited patient demographic and clinical information was also collected. A case test-negative control analysis compared the odds of seasonal influenza vaccination between patients positive or negative for influenza by PCR with VE = 1 − the odds ratio. A total of 7270 influenza PCR test results were identified of which 1907 (26.2%) were positive; 9.4% of patients with a positive result had received contemporaneous influenza vaccination ≥14 days prior to specimen collection, compared to 17.9% of those with a negative result. Overall VE was 52% (95% CI, 43–60%); annual VE estimates ranged from 46% (95% CI, 22–63%) in 2012 to 60% (95% CI, 41–73%) in 2014. Electronic records routinely maintained by general practice provide a promising opportunity for estimating annual influenza VE in a timely and resource-efficient manner.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>30600119</pmid><doi>10.1016/j.vaccine.2018.12.006</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3879-6193</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0264-410X
ispartof Vaccine, 2019-01, Vol.37 (5), p.755-762
issn 0264-410X
1873-2518
language eng
recordid cdi_proquest_miscellaneous_2162774556
source MEDLINE; Elsevier ScienceDirect Journals
subjects Adolescent
Adult
Age
Asthma
Cardiovascular disease
Case-Control Studies
Demographics
Diabetes
Electronic health records
Electronic Health Records - statistics & numerical data
Estimates
Estimation
Female
Health care
Humans
Identification methods
Influenza
Influenza A Virus, H1N1 Subtype - immunology
Influenza A Virus, H3N2 Subtype - immunology
Influenza B virus - immunology
Influenza Vaccines - administration & dosage
Influenza Vaccines - standards
Influenza, Human - prevention & control
Laboratories
Laboratory tests
Male
Middle Aged
Odds Ratio
Outpatients
Patients
Polymerase chain reaction
Primary care
Primary health care
Primary Health Care - statistics & numerical data
Seasons
Sentinel Surveillance
Software
Software development tools
Southern Hemisphere
Surveillance
Test-negative design
Vaccination
Vaccine effectiveness
Vaccine efficacy
Vaccines
Vaccines and immunisation
Young Adult
title Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T23%3A59%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20influenza%20vaccine%20effectiveness%20using%20data%20routinely%20available%20in%20electronic%20primary%20care%20records&rft.jtitle=Vaccine&rft.au=Regan,%20Annette%20K.&rft.date=2019-01-29&rft.volume=37&rft.issue=5&rft.spage=755&rft.epage=762&rft.pages=755-762&rft.issn=0264-410X&rft.eissn=1873-2518&rft_id=info:doi/10.1016/j.vaccine.2018.12.006&rft_dat=%3Cproquest_cross%3E2168125664%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2168125664&rft_id=info:pmid/30600119&rft_els_id=S0264410X18316517&rfr_iscdi=true