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Identifying COPD in routinely collected electronic health records: a systematic scoping review

Shanya Sivakumaran, Mohammad A. Al Sallakh Orcid Logo, Ronan Lyons Orcid Logo, Jennifer K. Quint Orcid Logo, Gwyneth Davies Orcid Logo

ERJ Open Research, Volume: 7, Issue: 3, Pages: 00167 - 2021

Swansea University Authors: Shanya Sivakumaran, Mohammad A. Al Sallakh Orcid Logo, Ronan Lyons Orcid Logo, Gwyneth Davies Orcid Logo

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DOI (Published version): 10.1183/23120541.00167-2021

Abstract

Although routinely collected electronic health records (EHRs) are widely used to examine outcomes related to COPD, consensus regarding the identification of cases from electronic healthcare databases is lacking. We systematically examine and summarise approaches from the recent literature. MEDLINE &...

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Published in: ERJ Open Research
ISSN: 2312-0541 2312-0541
Published: European Respiratory Society (ERS) 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa58378
first_indexed 2021-10-18T09:22:41Z
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spelling 2022-08-16T15:43:29.7075320 v2 58378 2021-10-18 Identifying COPD in routinely collected electronic health records: a systematic scoping review 2799501bc10dea3008518d41ca0339a2 Shanya Sivakumaran Shanya Sivakumaran true false caefb3bbcb492f1e7e938c2a3189f474 NULL Mohammad A. Al Sallakh Mohammad A. Al Sallakh true true 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 92d69cf8519a334ced3f55142c811d95 0000-0003-1218-1008 Gwyneth Davies Gwyneth Davies true false 2021-10-18 MEDS Although routinely collected electronic health records (EHRs) are widely used to examine outcomes related to COPD, consensus regarding the identification of cases from electronic healthcare databases is lacking. We systematically examine and summarise approaches from the recent literature. MEDLINE <i>via</i> EBSCOhost was searched for COPD-related studies using EHRs published from January 1, 2018 to November 30, 2019. Data were extracted relating to the case definition of COPD and determination of COPD severity and phenotypes. From 185 eligible studies, we found widespread variation in the definitions used to identify people with COPD in terms of code sets used (with 20 different code sets in use based on the ICD-10 classification alone) and requirement of additional criteria (relating to age (n=139), medication (n=31), multiplicity of events (n=21), spirometry (n=19) and smoking status (n=9)). Only seven studies used a case definition which had been validated against a reference standard in the same dataset. Various proxies of disease severity were used since spirometry results and patient-reported outcomes were not often available. To enable the research community to draw reliable insights from EHRs and aid comparability between studies, clear reporting and greater consistency of the definitions used to identify COPD and related outcome measures is key. Journal Article ERJ Open Research 7 3 00167 2021 European Respiratory Society (ERS) 2312-0541 2312-0541 13 9 2021 2021-09-13 10.1183/23120541.00167-2021 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Swansea University Medical School Grant: n/a BREATHE - The Health Data Research Hub for Respiratory Health Grant: MC_PC_19004 MC_PC_13043/MRC_/Medical Research Council/United Kingdom MR/K006525/1/MRC_/Medical Research Council/United Kingdom 2022-08-16T15:43:29.7075320 2021-10-18T10:15:47.3614891 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shanya Sivakumaran 1 Mohammad A. Al Sallakh NULL 2 Ronan Lyons 0000-0001-5225-000X 3 Jennifer K. Quint 0000-0003-0149-4869 4 Gwyneth Davies 0000-0003-1218-1008 5 58378__21199__c100ae3a8cae4af3833958d13f418ea1.pdf 58378.pdf 2021-10-18T10:20:53.8089454 Output 348351 application/pdf Version of Record true ©The authors 2021. This version is distributed under the terms of the Creative Commons Attribution NonCommercial Licence 4.0 true eng https://creativecommons.org/licenses/by-nc/4.0/
title Identifying COPD in routinely collected electronic health records: a systematic scoping review
spellingShingle Identifying COPD in routinely collected electronic health records: a systematic scoping review
Shanya Sivakumaran
Mohammad A. Al Sallakh
Ronan Lyons
Gwyneth Davies
title_short Identifying COPD in routinely collected electronic health records: a systematic scoping review
title_full Identifying COPD in routinely collected electronic health records: a systematic scoping review
title_fullStr Identifying COPD in routinely collected electronic health records: a systematic scoping review
title_full_unstemmed Identifying COPD in routinely collected electronic health records: a systematic scoping review
title_sort Identifying COPD in routinely collected electronic health records: a systematic scoping review
author_id_str_mv 2799501bc10dea3008518d41ca0339a2
caefb3bbcb492f1e7e938c2a3189f474
83efcf2a9dfcf8b55586999d3d152ac6
92d69cf8519a334ced3f55142c811d95
author_id_fullname_str_mv 2799501bc10dea3008518d41ca0339a2_***_Shanya Sivakumaran
caefb3bbcb492f1e7e938c2a3189f474_***_Mohammad A. Al Sallakh
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
92d69cf8519a334ced3f55142c811d95_***_Gwyneth Davies
author Shanya Sivakumaran
Mohammad A. Al Sallakh
Ronan Lyons
Gwyneth Davies
author2 Shanya Sivakumaran
Mohammad A. Al Sallakh
Ronan Lyons
Jennifer K. Quint
Gwyneth Davies
format Journal article
container_title ERJ Open Research
container_volume 7
container_issue 3
container_start_page 00167
publishDate 2021
institution Swansea University
issn 2312-0541
2312-0541
doi_str_mv 10.1183/23120541.00167-2021
publisher European Respiratory Society (ERS)
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 Although routinely collected electronic health records (EHRs) are widely used to examine outcomes related to COPD, consensus regarding the identification of cases from electronic healthcare databases is lacking. We systematically examine and summarise approaches from the recent literature. MEDLINE <i>via</i> EBSCOhost was searched for COPD-related studies using EHRs published from January 1, 2018 to November 30, 2019. Data were extracted relating to the case definition of COPD and determination of COPD severity and phenotypes. From 185 eligible studies, we found widespread variation in the definitions used to identify people with COPD in terms of code sets used (with 20 different code sets in use based on the ICD-10 classification alone) and requirement of additional criteria (relating to age (n=139), medication (n=31), multiplicity of events (n=21), spirometry (n=19) and smoking status (n=9)). Only seven studies used a case definition which had been validated against a reference standard in the same dataset. Various proxies of disease severity were used since spirometry results and patient-reported outcomes were not often available. To enable the research community to draw reliable insights from EHRs and aid comparability between studies, clear reporting and greater consistency of the definitions used to identify COPD and related outcome measures is key.
published_date 2021-09-13T14:09:54Z
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