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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Resuscitationarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Resuscitation
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The economic impact of sudden cardiac arrest

Authors: Danny Liew; Andre La Gerche; Dominica Zentner; Sarah Parsons; Jocasta Ball; Natalie Morgan; T. Thompson; +9 Authors

The economic impact of sudden cardiac arrest

Abstract

There are 20,000 sudden cardiac arrests (SCAs) in Australia annually, with 90% case-fatality.The present study calculated both the health and economic impact of SCAs in Victoria, Australia.Data on all SCAs attended by Ambulance Victoria from July 2017 to June 2018 were collected regarding age, gender, and survival to hospital, discharge and 12 months. Pre-SCA employment status of all patients was modelled using age and gender-matched Australian economic data. A Markov state-transition model with a five-year horizon calculated health and economic impact in years of life lived (YLL), productivity-adjusted life years (PALYs) and gross domestic product (GDP) lost. A counterfactual Markov state-transition model assessed outcomes of an identical cohort of patients who did not experience SCA. All values were discounted by 5%.In 12 months, 4637 people suffered SCAs in Victoria, of whom 1516 (32.7%) were working at the time. 695 patients (15.0%) survived to hospital, 325 (7.0%) to discharge, and 303 (6.5%) to 12 months. In five years following their SCA, the cohort lost 15,922 years of life and 2327 PALYs. Reduced productivity led to GDP losses of AUD$448 million (92.8% relative reduction). Extrapolated to the 20,000 SCAs occurring across all of Australia, total GDP losses approached AUD$2 billion.The health and economic burden of SCAs is high, predominantly underpinned by very high mortality. Annual national losses approach AUD$2 billion (USD$1.42 billion) and are comparable to productivity losses from all cancers combined. Prioritising research and state-of-the-art care for SCA patients appears economically sound.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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