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Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales

Lucy Griffiths Orcid Logo, Ronan A Lyons, Amrita Bandyopadhyay, Karen Tingay Orcid Logo, Suzanne Walton, Mario Cortina-Borja, Ashley Akbari Orcid Logo, Helen Bedford, Carol Dezateux

BMJ Open Respiratory Research, Volume: 5, Issue: 1, Start page: e000260

Swansea University Authors: Lucy Griffiths Orcid Logo, Karen Tingay Orcid Logo, Ashley Akbari Orcid Logo

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DOI (Published version): 10.1136/bmjresp-2017-000260

Abstract

Introduction Electronic health records (EHRs) are increasingly used to estimate the prevalence of childhood asthma. The relation of these estimates to those obtained from parent-reported wheezing suggestive of asthma is unclear. We hypothesised that parent-reported wheezing would be more prevalent t...

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Published in: BMJ Open Respiratory Research
ISSN: 2052-4439
Published: 2018
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-02-16T14:03:06.9537155</datestamp><bib-version>v2</bib-version><id>38171</id><entry>2018-01-17</entry><title>Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales</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>e54a01719bded3d289478a854ca6a016</sid><ORCID>0000-0002-0257-9365</ORCID><firstname>Karen</firstname><surname>Tingay</surname><name>Karen Tingay</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></swanseaauthors><date>2018-01-17</date><deptcode>HDAT</deptcode><abstract>Introduction Electronic health records (EHRs) are increasingly used to estimate the prevalence of childhood asthma. The relation of these estimates to those obtained from parent-reported wheezing suggestive of asthma is unclear. We hypothesised that parent-reported wheezing would be more prevalent than general practitioner (GP)-recorded asthma diagnoses in preschool-aged children. Methods 1529 of 1840 (83%) Millennium Cohort Study children registered with GPs in the Welsh Secure Anonymised Information Linkage databank were linked. Prevalences of parent-reported wheezing and GP-recorded asthma diagnoses in the previous 12 months were estimated, respectively, from parent report at ages 3, 5, 7 and 11 years, and from Read codes for asthma diagnoses and prescriptions based on GP EHRs over the same time period. Prevalences were weighted to account for clustered survey design and non-response. Cohen&#x2019;s kappa statistics were used to assess agreement. Results Parent-reported wheezing was more prevalent than GP-recorded asthma diagnoses at 3 and 5 years. Both diminished with age: by age 11, prevalences of parent-reported wheezing and GP-recorded asthma diagnosis were 12.9% (95% CI 10.6 to 15.4) and 10.9% (8.8 to 13.3), respectively (difference: 2% (&#x2212;0.5 to 4.5)). Other GP-recorded respiratory diagnoses accounted for 45.7% (95% CI 37.7 to 53.9) and 44.8% (33.9 to 56.2) of the excess in parent-reported wheezing at ages 3 and 5 years, respectively. Conclusion Parent-reported wheezing is more prevalent than GP-recorded asthma diagnoses in the preschool years, and this difference diminishes in primary school aged children. Further research is needed to evaluate the implications of these differences for the characterisation of longitudinal childhood asthma phenotypes from EHRs.</abstract><type>Journal Article</type><journal>BMJ Open Respiratory Research</journal><volume>5</volume><journalNumber>1</journalNumber><paginationStart>e000260</paginationStart><publisher/><issnElectronic>2052-4439</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-12-31</publishedDate><doi>10.1136/bmjresp-2017-000260</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-02-16T14:03:06.9537155</lastEdited><Created>2018-01-17T12:07:17.7297391</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>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>1</order></author><author><firstname>Ronan A</firstname><surname>Lyons</surname><order>2</order></author><author><firstname>Amrita</firstname><surname>Bandyopadhyay</surname><order>3</order></author><author><firstname>Karen</firstname><surname>Tingay</surname><orcid>0000-0002-0257-9365</orcid><order>4</order></author><author><firstname>Suzanne</firstname><surname>Walton</surname><order>5</order></author><author><firstname>Mario</firstname><surname>Cortina-Borja</surname><order>6</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>7</order></author><author><firstname>Helen</firstname><surname>Bedford</surname><order>8</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>9</order></author></authors><documents><document><filename>0038171-16022018140128.pdf</filename><originalFilename>38171.pdf</originalFilename><uploaded>2018-02-16T14:01:28.9670000</uploaded><type>Output</type><contentLength>390145</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-02-16T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution 4.0 license (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2018-02-16T14:03:06.9537155 v2 38171 2018-01-17 Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false e54a01719bded3d289478a854ca6a016 0000-0002-0257-9365 Karen Tingay Karen Tingay true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-01-17 HDAT Introduction Electronic health records (EHRs) are increasingly used to estimate the prevalence of childhood asthma. The relation of these estimates to those obtained from parent-reported wheezing suggestive of asthma is unclear. We hypothesised that parent-reported wheezing would be more prevalent than general practitioner (GP)-recorded asthma diagnoses in preschool-aged children. Methods 1529 of 1840 (83%) Millennium Cohort Study children registered with GPs in the Welsh Secure Anonymised Information Linkage databank were linked. Prevalences of parent-reported wheezing and GP-recorded asthma diagnoses in the previous 12 months were estimated, respectively, from parent report at ages 3, 5, 7 and 11 years, and from Read codes for asthma diagnoses and prescriptions based on GP EHRs over the same time period. Prevalences were weighted to account for clustered survey design and non-response. Cohen’s kappa statistics were used to assess agreement. Results Parent-reported wheezing was more prevalent than GP-recorded asthma diagnoses at 3 and 5 years. Both diminished with age: by age 11, prevalences of parent-reported wheezing and GP-recorded asthma diagnosis were 12.9% (95% CI 10.6 to 15.4) and 10.9% (8.8 to 13.3), respectively (difference: 2% (−0.5 to 4.5)). Other GP-recorded respiratory diagnoses accounted for 45.7% (95% CI 37.7 to 53.9) and 44.8% (33.9 to 56.2) of the excess in parent-reported wheezing at ages 3 and 5 years, respectively. Conclusion Parent-reported wheezing is more prevalent than GP-recorded asthma diagnoses in the preschool years, and this difference diminishes in primary school aged children. Further research is needed to evaluate the implications of these differences for the characterisation of longitudinal childhood asthma phenotypes from EHRs. Journal Article BMJ Open Respiratory Research 5 1 e000260 2052-4439 31 12 2018 2018-12-31 10.1136/bmjresp-2017-000260 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-02-16T14:03:06.9537155 2018-01-17T12:07:17.7297391 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Lucy Griffiths 0000-0001-9230-624X 1 Ronan A Lyons 2 Amrita Bandyopadhyay 3 Karen Tingay 0000-0002-0257-9365 4 Suzanne Walton 5 Mario Cortina-Borja 6 Ashley Akbari 0000-0003-0814-0801 7 Helen Bedford 8 Carol Dezateux 9 0038171-16022018140128.pdf 38171.pdf 2018-02-16T14:01:28.9670000 Output 390145 application/pdf Version of Record true 2018-02-16T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 4.0 license (CC-BY). true eng
title Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
spellingShingle Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
Lucy Griffiths
Karen Tingay
Ashley Akbari
title_short Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
title_full Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
title_fullStr Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
title_full_unstemmed Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
title_sort Childhood asthma prevalence: cross-sectional record linkage study comparing parent-reported wheeze with general practitioner-recorded asthma diagnoses from primary care electronic health records in Wales
author_id_str_mv e35ea6ea4b429e812ef204b048131d93
e54a01719bded3d289478a854ca6a016
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
e54a01719bded3d289478a854ca6a016_***_Karen Tingay
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Lucy Griffiths
Karen Tingay
Ashley Akbari
author2 Lucy Griffiths
Ronan A Lyons
Amrita Bandyopadhyay
Karen Tingay
Suzanne Walton
Mario Cortina-Borja
Ashley Akbari
Helen Bedford
Carol Dezateux
format Journal article
container_title BMJ Open Respiratory Research
container_volume 5
container_issue 1
container_start_page e000260
publishDate 2018
institution Swansea University
issn 2052-4439
doi_str_mv 10.1136/bmjresp-2017-000260
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description Introduction Electronic health records (EHRs) are increasingly used to estimate the prevalence of childhood asthma. The relation of these estimates to those obtained from parent-reported wheezing suggestive of asthma is unclear. We hypothesised that parent-reported wheezing would be more prevalent than general practitioner (GP)-recorded asthma diagnoses in preschool-aged children. Methods 1529 of 1840 (83%) Millennium Cohort Study children registered with GPs in the Welsh Secure Anonymised Information Linkage databank were linked. Prevalences of parent-reported wheezing and GP-recorded asthma diagnoses in the previous 12 months were estimated, respectively, from parent report at ages 3, 5, 7 and 11 years, and from Read codes for asthma diagnoses and prescriptions based on GP EHRs over the same time period. Prevalences were weighted to account for clustered survey design and non-response. Cohen’s kappa statistics were used to assess agreement. Results Parent-reported wheezing was more prevalent than GP-recorded asthma diagnoses at 3 and 5 years. Both diminished with age: by age 11, prevalences of parent-reported wheezing and GP-recorded asthma diagnosis were 12.9% (95% CI 10.6 to 15.4) and 10.9% (8.8 to 13.3), respectively (difference: 2% (−0.5 to 4.5)). Other GP-recorded respiratory diagnoses accounted for 45.7% (95% CI 37.7 to 53.9) and 44.8% (33.9 to 56.2) of the excess in parent-reported wheezing at ages 3 and 5 years, respectively. Conclusion Parent-reported wheezing is more prevalent than GP-recorded asthma diagnoses in the preschool years, and this difference diminishes in primary school aged children. Further research is needed to evaluate the implications of these differences for the characterisation of longitudinal childhood asthma phenotypes from EHRs.
published_date 2018-12-31T03:48:14Z
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