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dc.contributor.authorRajagopal, Sangeerthana
dc.contributor.authorBooth, Scott
dc.contributor.authorBrown, Terry P.
dc.contributor.authorJi, Chen
dc.contributor.authorHawkes, Claire A.
dc.contributor.authorSiriwardena, Aloysius
dc.contributor.authorKirby, Kim
dc.contributor.authorBlack, Sarah
dc.contributor.authorSpaight, Robert
dc.contributor.authorGunson, Imogen
dc.contributor.authorBrace-McDonnell, Samantha J.
dc.contributor.authorPerkins, Gavin D.
dc.date.accessioned2019-09-13T10:01:09Z
dc.date.available2019-09-13T10:01:09Z
dc.date.issued2017-11
dc.identifier.citationRajagopal, S. et al, 2017. Data quality and 30-day survival for out-of-hospital cardiac arrest in the UK out-of-hospital cardiac arrest registry: a data linkage study. BMJ Open, 7 (11), e017784.en_US
dc.identifier.issn2044-6055
dc.identifier.doi10.1136/bmjopen-2017-017784
dc.identifier.urihttp://hdl.handle.net/20.500.12417/230
dc.description.abstractObjectives The Out-of-Hospital Cardiac Arrest Outcomes (OHCAO) project aims to understand the epidemiology and outcomes of out-of-hospital cardiac arrest (OHCA) across the UK. This data linkage study is a subproject of OHCAO. The aim was to establish the feasibility of linking OHCAO data to National Health Service (NHS) patient demographic data and Office for National Statistics (ONS) date of death data held on the NHS Personal Demographics Service (PDS) database to improve OHCAO demographic data quality and enable analysis of 30-day survival from OHCA. Design and setting Data were collected from 1 January 2014 to 31 December 2014 as part of a prospective, observational study of OHCA attended by 10 English NHS Ambulance Services. 28 729 OHCA cases had resuscitation attempted by Emergency Medical Services and were included in the study. Data linkage was carried out using a data linkage service provided by NHS Digital, a national provider of health-related data. To assess data linkage feasibility a random sample of 3120 cases was selected. The sample was securely transferred to NHS Digital to be matched using OHCAO patient demographic data to return previously missing demographic data and provide ONS date of death data. Results A total of 2513 (80.5%) OHCAO cases were matched to patients in the NHS PDS database. Using the linkage process, missing demographic data were retrieved for 1636 (72.7%) out of 2249 OHCAO cases that had previously incomplete demographic data. Returned ONS date of death data allowed analysis of 30-day survival status. The results showed a 30-day survival rate of 9.3%, reducing unknown survival status from 46.1% to 8.5%. Conclusions In this sample, data linkage between the OHCAO registry and NHS PDS database was shown to be feasible, improving demographic data quality and allowing analysis of 30-day survival status. https://bmjopen.bmj.com/content/bmjopen/7/11/e017784.full.pdf 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ http://dx.doi.org/10.1136/bmjopen-2017-017784
dc.language.isoenen_US
dc.subjectEmergency Medical Servicesen_US
dc.subjectOut-of-Hospital Cardiac Arrest (OHCA)en_US
dc.subjectSurvival Rateen_US
dc.subjectDataen_US
dc.subjectInformation Storage and Retrievalen_US
dc.titleData quality and 30-day survival for out-of-hospital cardiac arrest in the UK out-of-hospital cardiac arrest registry: a data linkage studyen_US
dc.typeJournal Article/Review
dc.source.journaltitleBMJ Openen_US
dcterms.dateAccepted2019-08-29
rioxxterms.versionNAen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-08-29
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2017-11
html.description.abstractObjectives The Out-of-Hospital Cardiac Arrest Outcomes (OHCAO) project aims to understand the epidemiology and outcomes of out-of-hospital cardiac arrest (OHCA) across the UK. This data linkage study is a subproject of OHCAO. The aim was to establish the feasibility of linking OHCAO data to National Health Service (NHS) patient demographic data and Office for National Statistics (ONS) date of death data held on the NHS Personal Demographics Service (PDS) database to improve OHCAO demographic data quality and enable analysis of 30-day survival from OHCA. Design and setting Data were collected from 1 January 2014 to 31 December 2014 as part of a prospective, observational study of OHCA attended by 10 English NHS Ambulance Services. 28 729 OHCA cases had resuscitation attempted by Emergency Medical Services and were included in the study. Data linkage was carried out using a data linkage service provided by NHS Digital, a national provider of health-related data. To assess data linkage feasibility a random sample of 3120 cases was selected. The sample was securely transferred to NHS Digital to be matched using OHCAO patient demographic data to return previously missing demographic data and provide ONS date of death data. Results A total of 2513 (80.5%) OHCAO cases were matched to patients in the NHS PDS database. Using the linkage process, missing demographic data were retrieved for 1636 (72.7%) out of 2249 OHCAO cases that had previously incomplete demographic data. Returned ONS date of death data allowed analysis of 30-day survival status. The results showed a 30-day survival rate of 9.3%, reducing unknown survival status from 46.1% to 8.5%. Conclusions In this sample, data linkage between the OHCAO registry and NHS PDS database was shown to be feasible, improving demographic data quality and allowing analysis of 30-day survival status. https://bmjopen.bmj.com/content/bmjopen/7/11/e017784.full.pdf 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ http://dx.doi.org/10.1136/bmjopen-2017-017784en_US
dc.contributor.nonasauthorOHCAO collaborators


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