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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

OBJECTIVES: 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 Nationa...

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Autores principales: Rajagopal, Sangeerthana, Booth, Scott J, Brown, Terry P, Ji, Chen, Hawkes, Claire, Siriwardena, A Niroshan, Kirby, Kim, Black, Sarah, Spaight, Robert, Gunson, Imogen, Brace-McDonnell, Samantha J, Perkins, Gavin D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719320/
https://www.ncbi.nlm.nih.gov/pubmed/29162573
http://dx.doi.org/10.1136/bmjopen-2017-017784
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author Rajagopal, Sangeerthana
Booth, Scott J
Brown, Terry P
Ji, Chen
Hawkes, Claire
Siriwardena, A Niroshan
Kirby, Kim
Black, Sarah
Spaight, Robert
Gunson, Imogen
Brace-McDonnell, Samantha J
Perkins, Gavin D
author_facet Rajagopal, Sangeerthana
Booth, Scott J
Brown, Terry P
Ji, Chen
Hawkes, Claire
Siriwardena, A Niroshan
Kirby, Kim
Black, Sarah
Spaight, Robert
Gunson, Imogen
Brace-McDonnell, Samantha J
Perkins, Gavin D
author_sort Rajagopal, Sangeerthana
collection PubMed
description OBJECTIVES: 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.
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spelling pubmed-57193202017-12-08 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 Rajagopal, Sangeerthana Booth, Scott J Brown, Terry P Ji, Chen Hawkes, Claire Siriwardena, A Niroshan Kirby, Kim Black, Sarah Spaight, Robert Gunson, Imogen Brace-McDonnell, Samantha J Perkins, Gavin D BMJ Open Epidemiology OBJECTIVES: 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. BMJ Publishing Group 2017-11-20 /pmc/articles/PMC5719320/ /pubmed/29162573 http://dx.doi.org/10.1136/bmjopen-2017-017784 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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/
spellingShingle Epidemiology
Rajagopal, Sangeerthana
Booth, Scott J
Brown, Terry P
Ji, Chen
Hawkes, Claire
Siriwardena, A Niroshan
Kirby, Kim
Black, Sarah
Spaight, Robert
Gunson, Imogen
Brace-McDonnell, Samantha J
Perkins, Gavin D
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719320/
https://www.ncbi.nlm.nih.gov/pubmed/29162573
http://dx.doi.org/10.1136/bmjopen-2017-017784
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