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Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination
Vaccine, Volume: 40, Issue: 34, Pages: 5016 - 5022
Swansea University Authors: Lucy Griffiths , Ashley Akbari , Amrita Bandyopadhyay, Ronan Lyons
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DOI (Published version): 10.1016/j.vaccine.2022.06.080
Abstract
BackgroundDelayed primary vaccination is one of the strongest predictors of subsequent incomplete immunisation. Identifying children at risk of such delay may enable targeting of interventions, thus decreasing vaccine-preventable illness.ObjectivesTo explore socio-demographic factors associated with...
Published in: | Vaccine |
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ISSN: | 0264-410X |
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Elsevier BV
2022
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<?xml version="1.0"?><rfc1807><datestamp>2022-08-22T11:36:59.0306344</datestamp><bib-version>v2</bib-version><id>60484</id><entry>2022-07-13</entry><title>Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination</title><swanseaauthors><author><sid>e35ea6ea4b429e812ef204b048131d93</sid><ORCID>0000-0001-9230-624X</ORCID><firstname>Lucy</firstname><surname>Griffiths</surname><name>Lucy Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>9f1e77f76a83746112ef45709bf83630</sid><ORCID/><firstname>Amrita</firstname><surname>Bandyopadhyay</surname><name>Amrita Bandyopadhyay</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-07-13</date><deptcode>HDAT</deptcode><abstract>BackgroundDelayed primary vaccination is one of the strongest predictors of subsequent incomplete immunisation. Identifying children at risk of such delay may enable targeting of interventions, thus decreasing vaccine-preventable illness.ObjectivesTo explore socio-demographic factors associated with delayed receipt of the Diphtheria, Tetanus and Pertussis (DTP) vaccine.MethodsWe included 1,782 children, born between 2000 and 2001, participating in the Millennium Cohort Study (MCS) and resident in Wales, whose parents gave consent for linkage to National Community Child Health Database records at the age seven years contact. We examined child, maternal, family and area characteristics associated with delayed receipt of the first dose of the DTP vaccine.Results98.6% received the first dose of DTP. The majority, 79.6% (n = 1,429) received it on time (between 8 and 12 weeks of age), 14.2% (n = 251) received it early (prior to 8 weeks of age) and 4.8% (n = 79) were delayed (after 12 weeks of age); 1.4% (n = 23) never received it. Delayed primary vaccination was more likely among children with older natural siblings (risk ratio 3.82, 95% confidence interval (1.97, 7.38)), children admitted to special/intensive care (3.15, (1.65, 5.99)), those whose birth weight was > 4Kg (2.02, (1.09, 3.73)) and boys (1.53, (1.01, 2.31)). There was a reduced risk of delayed vaccination with increasing maternal age (0.73, (0.53, 1.00) per 5 year increase) and for babies born to graduate mothers (0.27, (0.08, 0.90)).ConclusionsAlthough the majority of infants were vaccinated in a timely manner, identification of infants at increased risk of early or delayed vaccination will enable targeting of interventions to facilitate timely immunisation. This is to our knowledge the first study exploring individual level socio-demographic factors associated with delayed primary vaccination in the UK and demonstrates the benefits of linking cohort data to routinely-collected child health data.</abstract><type>Journal Article</type><journal>Vaccine</journal><volume>40</volume><journalNumber>34</journalNumber><paginationStart>5016</paginationStart><paginationEnd>5022</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0264-410X</issnPrint><issnElectronic/><keywords>Vaccination; Timeliness; DTP vaccine; Child; Millennium Cohort Study (MCS); Child health systems</keywords><publishedDay>12</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-12</publishedDate><doi>10.1016/j.vaccine.2022.06.080</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported by the Wellcome Trust (grant number 087389/B/08/Z). LG, CD, RAL and AA are supported by Health Data Research UK (HDR-9006), which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation and Wellcome. RAL is also funded by the Asthma UK Centre for Applied Research (AUKAC- 2012-01). KT was supported by an ESRC award establishing the Administrative Data Research Centre Wales (ES/L007444/1). AA, AB, LG and RAL are supported by the ADR Wales programme of work. The ADR Wales programme of work is aligned to the priority themes as identified in the Welsh Government’s national strategy: Prosperity for All.</funders><projectreference/><lastEdited>2022-08-22T11:36:59.0306344</lastEdited><Created>2022-07-13T14:38:56.9887844</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Suzanne</firstname><surname>Walton</surname><order>1</order></author><author><firstname>Mario</firstname><surname>Cortina-Borja</surname><order>2</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>3</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>4</order></author><author><firstname>Karen</firstname><surname>Tingay</surname><order>5</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>6</order></author><author><firstname>Amrita</firstname><surname>Bandyopadhyay</surname><orcid/><order>7</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>8</order></author><author><firstname>Richard</firstname><surname>Roberts</surname><order>9</order></author><author><firstname>Helen</firstname><surname>Bedford</surname><order>10</order></author></authors><documents><document><filename>60484__24984__9d0e804d1ea8436f87779ebf7d363b6a.pdf</filename><originalFilename>60484_VoR.pdf</originalFilename><uploaded>2022-08-22T11:35:08.0956070</uploaded><type>Output</type><contentLength>312865</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: 2022 The Authors. This is an open access article under the CC BY license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
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2022-08-22T11:36:59.0306344 v2 60484 2022-07-13 Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 9f1e77f76a83746112ef45709bf83630 Amrita Bandyopadhyay Amrita Bandyopadhyay true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2022-07-13 HDAT BackgroundDelayed primary vaccination is one of the strongest predictors of subsequent incomplete immunisation. Identifying children at risk of such delay may enable targeting of interventions, thus decreasing vaccine-preventable illness.ObjectivesTo explore socio-demographic factors associated with delayed receipt of the Diphtheria, Tetanus and Pertussis (DTP) vaccine.MethodsWe included 1,782 children, born between 2000 and 2001, participating in the Millennium Cohort Study (MCS) and resident in Wales, whose parents gave consent for linkage to National Community Child Health Database records at the age seven years contact. We examined child, maternal, family and area characteristics associated with delayed receipt of the first dose of the DTP vaccine.Results98.6% received the first dose of DTP. The majority, 79.6% (n = 1,429) received it on time (between 8 and 12 weeks of age), 14.2% (n = 251) received it early (prior to 8 weeks of age) and 4.8% (n = 79) were delayed (after 12 weeks of age); 1.4% (n = 23) never received it. Delayed primary vaccination was more likely among children with older natural siblings (risk ratio 3.82, 95% confidence interval (1.97, 7.38)), children admitted to special/intensive care (3.15, (1.65, 5.99)), those whose birth weight was > 4Kg (2.02, (1.09, 3.73)) and boys (1.53, (1.01, 2.31)). There was a reduced risk of delayed vaccination with increasing maternal age (0.73, (0.53, 1.00) per 5 year increase) and for babies born to graduate mothers (0.27, (0.08, 0.90)).ConclusionsAlthough the majority of infants were vaccinated in a timely manner, identification of infants at increased risk of early or delayed vaccination will enable targeting of interventions to facilitate timely immunisation. This is to our knowledge the first study exploring individual level socio-demographic factors associated with delayed primary vaccination in the UK and demonstrates the benefits of linking cohort data to routinely-collected child health data. Journal Article Vaccine 40 34 5016 5022 Elsevier BV 0264-410X Vaccination; Timeliness; DTP vaccine; Child; Millennium Cohort Study (MCS); Child health systems 12 8 2022 2022-08-12 10.1016/j.vaccine.2022.06.080 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University This work was supported by the Wellcome Trust (grant number 087389/B/08/Z). LG, CD, RAL and AA are supported by Health Data Research UK (HDR-9006), which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation and Wellcome. RAL is also funded by the Asthma UK Centre for Applied Research (AUKAC- 2012-01). KT was supported by an ESRC award establishing the Administrative Data Research Centre Wales (ES/L007444/1). AA, AB, LG and RAL are supported by the ADR Wales programme of work. The ADR Wales programme of work is aligned to the priority themes as identified in the Welsh Government’s national strategy: Prosperity for All. 2022-08-22T11:36:59.0306344 2022-07-13T14:38:56.9887844 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Suzanne Walton 1 Mario Cortina-Borja 2 Carol Dezateux 3 Lucy Griffiths 0000-0001-9230-624X 4 Karen Tingay 5 Ashley Akbari 0000-0003-0814-0801 6 Amrita Bandyopadhyay 7 Ronan Lyons 0000-0001-5225-000X 8 Richard Roberts 9 Helen Bedford 10 60484__24984__9d0e804d1ea8436f87779ebf7d363b6a.pdf 60484_VoR.pdf 2022-08-22T11:35:08.0956070 Output 312865 application/pdf Version of Record true Copyright: 2022 The Authors. This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
spellingShingle |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination Lucy Griffiths Ashley Akbari Amrita Bandyopadhyay Ronan Lyons |
title_short |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
title_full |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
title_fullStr |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
title_full_unstemmed |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
title_sort |
Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination |
author_id_str_mv |
e35ea6ea4b429e812ef204b048131d93 aa1b025ec0243f708bb5eb0a93d6fb52 9f1e77f76a83746112ef45709bf83630 83efcf2a9dfcf8b55586999d3d152ac6 |
author_id_fullname_str_mv |
e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari 9f1e77f76a83746112ef45709bf83630_***_Amrita Bandyopadhyay 83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons |
author |
Lucy Griffiths Ashley Akbari Amrita Bandyopadhyay Ronan Lyons |
author2 |
Suzanne Walton Mario Cortina-Borja Carol Dezateux Lucy Griffiths Karen Tingay Ashley Akbari Amrita Bandyopadhyay Ronan Lyons Richard Roberts Helen Bedford |
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Journal article |
container_title |
Vaccine |
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40 |
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34 |
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5016 |
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2022 |
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Swansea University |
issn |
0264-410X |
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10.1016/j.vaccine.2022.06.080 |
publisher |
Elsevier BV |
college_str |
Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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description |
BackgroundDelayed primary vaccination is one of the strongest predictors of subsequent incomplete immunisation. Identifying children at risk of such delay may enable targeting of interventions, thus decreasing vaccine-preventable illness.ObjectivesTo explore socio-demographic factors associated with delayed receipt of the Diphtheria, Tetanus and Pertussis (DTP) vaccine.MethodsWe included 1,782 children, born between 2000 and 2001, participating in the Millennium Cohort Study (MCS) and resident in Wales, whose parents gave consent for linkage to National Community Child Health Database records at the age seven years contact. We examined child, maternal, family and area characteristics associated with delayed receipt of the first dose of the DTP vaccine.Results98.6% received the first dose of DTP. The majority, 79.6% (n = 1,429) received it on time (between 8 and 12 weeks of age), 14.2% (n = 251) received it early (prior to 8 weeks of age) and 4.8% (n = 79) were delayed (after 12 weeks of age); 1.4% (n = 23) never received it. Delayed primary vaccination was more likely among children with older natural siblings (risk ratio 3.82, 95% confidence interval (1.97, 7.38)), children admitted to special/intensive care (3.15, (1.65, 5.99)), those whose birth weight was > 4Kg (2.02, (1.09, 3.73)) and boys (1.53, (1.01, 2.31)). There was a reduced risk of delayed vaccination with increasing maternal age (0.73, (0.53, 1.00) per 5 year increase) and for babies born to graduate mothers (0.27, (0.08, 0.90)).ConclusionsAlthough the majority of infants were vaccinated in a timely manner, identification of infants at increased risk of early or delayed vaccination will enable targeting of interventions to facilitate timely immunisation. This is to our knowledge the first study exploring individual level socio-demographic factors associated with delayed primary vaccination in the UK and demonstrates the benefits of linking cohort data to routinely-collected child health data. |
published_date |
2022-08-12T04:18:38Z |
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1763754238875271168 |
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11.037581 |