Validation of ethnicity in administrative hospital data in women giving birth in England: cohort study
ObjectiveTo describe the accuracy of coding of ethnicity in National Health Service (NHS) administrative hospital records compared with self-declared records in maternity booking systems, and to assess the potential impact of misclassification bias.DesignSecondary analysis of data from records of wo...
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| Veröffentlicht in: | BMJ open 2021-08, Vol.11 (8), p.e051977-e051977, Article 051977 |
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| creator | Jardine, Jennifer Elizabeth Frémeaux, Alissa Coe, Megan Gurol Urganci, Ipek Pasupathy, Dharmintra Walker, Kate |
| description | ObjectiveTo describe the accuracy of coding of ethnicity in National Health Service (NHS) administrative hospital records compared with self-declared records in maternity booking systems, and to assess the potential impact of misclassification bias.DesignSecondary analysis of data from records of women giving birth in England (2015–2017).SettingNHS Trusts in England participating in a national audit programme.Participants1 237 213 women who gave birth between 1 April 2015 and 31 March 2017.Primary and secondary outcome measures(1) Proportion of women with complete ethnicity; (2) agreement on coded ethnicity between maternity (maternity information systems (MIS)) and administrative hospital (Hospital Episode Statistics (HES)) records; (3) rates of caesarean section and obstetric anal sphincter injury by ethnic group in MIS and HES.Results91.3% of women had complete information regarding ethnicity in HES. Overall agreement between data sets was 90.4% (κ=0.83); 94.4% when collapsed into aggregate groups of white/South Asian/black/mixed/other (κ=0.86). Most disagreement was seen in women coded as mixed in either data set. Rates of obstetrical events and complications by ethnicity were similar regardless of data set used, with the most differences seen in women coded as mixed.ConclusionsLevels of accuracy in ethnicity coding in administrative hospital records support the use of ethnicity collapsed into groups (white/South Asian/black/mixed/other), but findings for mixed and other groups, and more granular classifications, should be treated with caution. Robustness of results of analyses for associations with ethnicity can be improved by using additional primary data sources. |
| doi_str_mv | 10.1136/bmjopen-2021-051977 |
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| fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_webofscience_primary_000688159400007</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_dfaa79d8ffdf499f9e134d9ba35f2a82</doaj_id><sourcerecordid>2665069772</sourcerecordid><originalsourceid>FETCH-LOGICAL-b515t-688d5ff5a346b7ef9648143930d88eb076019bd7973808881289c134e8ca30003</originalsourceid><addsrcrecordid>eNqNUs1q3DAYNKWlCWmeoBdDL4XiRP-WeiiUJW0DgV7aXoVsSV4ttrSV5A379pHrJSQ9RT7IfN_MMB5PVb2H4ApCzK67aRf2xjcIINgACkXbvqrOESCkYYDS10_ez6rLlHagHEIFpehtdYYJQYy06Lyyf9TotMou-DrY2uStd73Lx9r5WunJeZdyLOuDqbch7V1WY13gatnfh8n4enAH54e6czFvl-mNH0bl9ee6D9sQc53yrI_vqjdWjclcnu6L6ve3m1-bH83dz--3m693TUchzQ3jXFNrqcKEda2xghEOCRYYaM5NB1oGoOh0K1rMAeccIi56iInhvcLlA_FFdbvq6qB2ch_dpOJRBuXkv0GIg1Qxu340UlulWqG5tdoSIawwRUiLTmFqkeKoaH1ZtfZzNxndG1-SGJ-JPt94t5VDOEiOy9OyIvDxJBDD39mkLCeXejOWeEyYk0SUEYghaRffH_6D7sIcfYlKIsYoYOX_Lo7wiupjSCka-2gGArnUQp5qIZdayLUWhfVpZd2bLtjUO-N788gsqZXUIRVkaciC5i9Hb0oflupswuxzoV6t1OLiRc4eAOtA2yA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2665069772</pqid></control><display><type>article</type><title>Validation of ethnicity in administrative hospital data in women giving birth in England: cohort study</title><source>BMJ Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Web of Science - Social Sciences Citation Index – 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Jardine, Jennifer Elizabeth ; Frémeaux, Alissa ; Coe, Megan ; Gurol Urganci, Ipek ; Pasupathy, Dharmintra ; Walker, Kate</creator><creatorcontrib>Jardine, Jennifer Elizabeth ; Frémeaux, Alissa ; Coe, Megan ; Gurol Urganci, Ipek ; Pasupathy, Dharmintra ; Walker, Kate</creatorcontrib><description>ObjectiveTo describe the accuracy of coding of ethnicity in National Health Service (NHS) administrative hospital records compared with self-declared records in maternity booking systems, and to assess the potential impact of misclassification bias.DesignSecondary analysis of data from records of women giving birth in England (2015–2017).SettingNHS Trusts in England participating in a national audit programme.Participants1 237 213 women who gave birth between 1 April 2015 and 31 March 2017.Primary and secondary outcome measures(1) Proportion of women with complete ethnicity; (2) agreement on coded ethnicity between maternity (maternity information systems (MIS)) and administrative hospital (Hospital Episode Statistics (HES)) records; (3) rates of caesarean section and obstetric anal sphincter injury by ethnic group in MIS and HES.Results91.3% of women had complete information regarding ethnicity in HES. Overall agreement between data sets was 90.4% (κ=0.83); 94.4% when collapsed into aggregate groups of white/South Asian/black/mixed/other (κ=0.86). Most disagreement was seen in women coded as mixed in either data set. Rates of obstetrical events and complications by ethnicity were similar regardless of data set used, with the most differences seen in women coded as mixed.ConclusionsLevels of accuracy in ethnicity coding in administrative hospital records support the use of ethnicity collapsed into groups (white/South Asian/black/mixed/other), but findings for mixed and other groups, and more granular classifications, should be treated with caution. Robustness of results of analyses for associations with ethnicity can be improved by using additional primary data sources.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2021-051977</identifier><identifier>PMID: 34426472</identifier><language>eng</language><publisher>LONDON: Bmj Publishing Group</publisher><subject>Agreements ; Censuses ; Codes ; Cohort analysis ; Datasets ; Ethnicity ; General & Internal Medicine ; Health Informatics ; Life Sciences & Biomedicine ; Management information systems ; Medicine, General & Internal ; Midwifery ; Minority & ethnic groups ; Obstetrics ; Science & Technology ; Statistics ; Womens health</subject><ispartof>BMJ open, 2021-08, Vol.11 (8), p.e051977-e051977, Article 051977</ispartof><rights>Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>7</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000688159400007</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-b515t-688d5ff5a346b7ef9648143930d88eb076019bd7973808881289c134e8ca30003</citedby><cites>FETCH-LOGICAL-b515t-688d5ff5a346b7ef9648143930d88eb076019bd7973808881289c134e8ca30003</cites><orcidid>0000-0002-9932-6865 ; 0000-0002-6517-3485</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/11/8/e051977.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/11/8/e051977.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2118,27558,27559,27933,27934,39266,39267,53800,53802,77611,77642</link.rule.ids></links><search><creatorcontrib>Jardine, Jennifer Elizabeth</creatorcontrib><creatorcontrib>Frémeaux, Alissa</creatorcontrib><creatorcontrib>Coe, Megan</creatorcontrib><creatorcontrib>Gurol Urganci, Ipek</creatorcontrib><creatorcontrib>Pasupathy, Dharmintra</creatorcontrib><creatorcontrib>Walker, Kate</creatorcontrib><title>Validation of ethnicity in administrative hospital data in women giving birth in England: cohort study</title><title>BMJ open</title><addtitle>BMJ OPEN</addtitle><description>ObjectiveTo describe the accuracy of coding of ethnicity in National Health Service (NHS) administrative hospital records compared with self-declared records in maternity booking systems, and to assess the potential impact of misclassification bias.DesignSecondary analysis of data from records of women giving birth in England (2015–2017).SettingNHS Trusts in England participating in a national audit programme.Participants1 237 213 women who gave birth between 1 April 2015 and 31 March 2017.Primary and secondary outcome measures(1) Proportion of women with complete ethnicity; (2) agreement on coded ethnicity between maternity (maternity information systems (MIS)) and administrative hospital (Hospital Episode Statistics (HES)) records; (3) rates of caesarean section and obstetric anal sphincter injury by ethnic group in MIS and HES.Results91.3% of women had complete information regarding ethnicity in HES. Overall agreement between data sets was 90.4% (κ=0.83); 94.4% when collapsed into aggregate groups of white/South Asian/black/mixed/other (κ=0.86). Most disagreement was seen in women coded as mixed in either data set. Rates of obstetrical events and complications by ethnicity were similar regardless of data set used, with the most differences seen in women coded as mixed.ConclusionsLevels of accuracy in ethnicity coding in administrative hospital records support the use of ethnicity collapsed into groups (white/South Asian/black/mixed/other), but findings for mixed and other groups, and more granular classifications, should be treated with caution. Robustness of results of analyses for associations with ethnicity can be improved by using additional primary data sources.</description><subject>Agreements</subject><subject>Censuses</subject><subject>Codes</subject><subject>Cohort analysis</subject><subject>Datasets</subject><subject>Ethnicity</subject><subject>General & Internal Medicine</subject><subject>Health Informatics</subject><subject>Life Sciences & Biomedicine</subject><subject>Management information systems</subject><subject>Medicine, General & Internal</subject><subject>Midwifery</subject><subject>Minority & ethnic groups</subject><subject>Obstetrics</subject><subject>Science & Technology</subject><subject>Statistics</subject><subject>Womens 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Jennifer Elizabeth</creator><creator>Frémeaux, Alissa</creator><creator>Coe, Megan</creator><creator>Gurol Urganci, Ipek</creator><creator>Pasupathy, Dharmintra</creator><creator>Walker, Kate</creator><general>Bmj Publishing Group</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing 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of ethnicity in administrative hospital data in women giving birth in England: cohort study</title><author>Jardine, Jennifer Elizabeth ; Frémeaux, Alissa ; Coe, Megan ; Gurol Urganci, Ipek ; Pasupathy, Dharmintra ; Walker, Kate</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b515t-688d5ff5a346b7ef9648143930d88eb076019bd7973808881289c134e8ca30003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agreements</topic><topic>Censuses</topic><topic>Codes</topic><topic>Cohort analysis</topic><topic>Datasets</topic><topic>Ethnicity</topic><topic>General & Internal Medicine</topic><topic>Health Informatics</topic><topic>Life Sciences & Biomedicine</topic><topic>Management information systems</topic><topic>Medicine, General & Internal</topic><topic>Midwifery</topic><topic>Minority & ethnic groups</topic><topic>Obstetrics</topic><topic>Science & Technology</topic><topic>Statistics</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jardine, Jennifer Elizabeth</creatorcontrib><creatorcontrib>Frémeaux, Alissa</creatorcontrib><creatorcontrib>Coe, Megan</creatorcontrib><creatorcontrib>Gurol Urganci, Ipek</creatorcontrib><creatorcontrib>Pasupathy, Dharmintra</creatorcontrib><creatorcontrib>Walker, Kate</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>Web of Science - Science Citation Index Expanded - 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Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</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 China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jardine, Jennifer Elizabeth</au><au>Frémeaux, Alissa</au><au>Coe, Megan</au><au>Gurol Urganci, Ipek</au><au>Pasupathy, Dharmintra</au><au>Walker, Kate</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of ethnicity in administrative hospital data in women giving birth in England: cohort study</atitle><jtitle>BMJ open</jtitle><stitle>BMJ OPEN</stitle><date>2021-08-23</date><risdate>2021</risdate><volume>11</volume><issue>8</issue><spage>e051977</spage><epage>e051977</epage><pages>e051977-e051977</pages><artnum>051977</artnum><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectiveTo describe the accuracy of coding of ethnicity in National Health Service (NHS) administrative hospital records compared with self-declared records in maternity booking systems, and to assess the potential impact of misclassification bias.DesignSecondary analysis of data from records of women giving birth in England (2015–2017).SettingNHS Trusts in England participating in a national audit programme.Participants1 237 213 women who gave birth between 1 April 2015 and 31 March 2017.Primary and secondary outcome measures(1) Proportion of women with complete ethnicity; (2) agreement on coded ethnicity between maternity (maternity information systems (MIS)) and administrative hospital (Hospital Episode Statistics (HES)) records; (3) rates of caesarean section and obstetric anal sphincter injury by ethnic group in MIS and HES.Results91.3% of women had complete information regarding ethnicity in HES. Overall agreement between data sets was 90.4% (κ=0.83); 94.4% when collapsed into aggregate groups of white/South Asian/black/mixed/other (κ=0.86). Most disagreement was seen in women coded as mixed in either data set. Rates of obstetrical events and complications by ethnicity were similar regardless of data set used, with the most differences seen in women coded as mixed.ConclusionsLevels of accuracy in ethnicity coding in administrative hospital records support the use of ethnicity collapsed into groups (white/South Asian/black/mixed/other), but findings for mixed and other groups, and more granular classifications, should be treated with caution. Robustness of results of analyses for associations with ethnicity can be improved by using additional primary data sources.</abstract><cop>LONDON</cop><pub>Bmj Publishing Group</pub><pmid>34426472</pmid><doi>10.1136/bmjopen-2021-051977</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9932-6865</orcidid><orcidid>https://orcid.org/0000-0002-6517-3485</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agreements Censuses Codes Cohort analysis Datasets Ethnicity General & Internal Medicine Health Informatics Life Sciences & Biomedicine Management information systems Medicine, General & Internal Midwifery Minority & ethnic groups Obstetrics Science & Technology Statistics Womens health |
| title | Validation of ethnicity in administrative hospital data in women giving birth in England: cohort study |
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