Risk predictors of out of hospital cardiac arrest. Evidence from linked trial and national administrative data

Robert Willans, Silviya Nikolova (), Claire Hulme, Ranjit Lall, Tom Quinn and Gavin Perkins
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Robert Willans: Bradford Teaching Hospitals NHS Foundation Trust
Silviya Nikolova: Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds
Claire Hulme: Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds
Ranjit Lall: Warwick Clinical Trials Unit, University of Warwick
Tom Quinn: Faculty of Health, Social Care and Education, Kingston University London and St.George’s University of London
Gavin Perkins: Warwick Clinical Trials Unit, University of Warwick; Heart of England, NHS Foundation Trust

No 1804, Working Papers from Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds

Abstract: Objective To understand the demographic, health and healthcare (HC) use profile of patients who experience an out-of-hospital cardiac arrest (OHCA) in England and Wales between April 2010 and June 2013. The association with 24-hour survival was studied as a secondary objective. Methods The Paramedic study is a trial which collected information on 4471 patients with out-of-hospital cardiac arrest (OHCA). Trial data was linked to Hospital Episode Statistics (HES), administrative data covering the trial period. Multivariate survival analysis was used to quantify the impact of identified risk predictors. Results Healthcare use increases in the years leading up to a cardiac arrest with the profile of this increase differing depending on age and overall healthcare resource utilisation of the patient. Patients who are older than 60 were found to have 2.35 fold increase in the probability of not surviving OHCA. However, older patients with medium and high healthcare resource use have higher chances of surviving OHCA event (decrease in mortality risk of 67% and 70% respectively). A diagnosis of dementia carries a 3.1 fold increase in mortality risk. Conclusions Routinely collected administrative hospital data may be used to identify patients at risk of OHCA and thus may help decrease cardiovascular mortality

Keywords: OHCA; survival; predictors; healthcare use; health (search for similar items in EconPapers)
JEL-codes: I1 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2018
New Economics Papers: this item is included in nep-hea and nep-law
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