Strategies to improve survival outcomes of out-of-hospital cardiac arrest (OHCA) given a fixed budget: A simulation study.

Ambulance response time Automated external defibrillator Cardiac arrest Cardiopulmonary resuscitation Cost-effectiveness OHCA Registry Simulation

Journal

Resuscitation
ISSN: 1873-1570
Titre abrégé: Resuscitation
Pays: Ireland
ID NLM: 0332173

Informations de publication

Date de publication:
04 2020
Historique:
received: 19 09 2019
revised: 13 01 2020
accepted: 22 01 2020
pubmed: 7 2 2020
medline: 22 6 2021
entrez: 7 2 2020
Statut: ppublish

Résumé

Our study aimed to identify a strategy that maximizes survival upon hospital discharge or 30-days post out-of-hospital cardiac arrest (OHCA) in Singapore for fixed investments of S$1, S$5, or S$10 million. Four strategies were compared: (1) no additional investment; (2) reducing response time via leasing of more ambulances; (3) increasing number of people trained in cardiopulmonary resuscitation (CPR); and (4) automated external defibrillators (AED). We estimated the effect of ambulance response time, bystander CPR and AED on survival based on Singapore's 2010-2015 OHCA registry data. We simulated the changes in ambulance response times and likelihood of (1) CPR and (2) AED usage as a function of their increased availability, which was then combined with the effect of each factor to determine the increase in survival for each strategy. Survival given no additional investment was 4.03% (95% CI: 3.96%, 4.10%). The investments in ambulances, CPR training and AEDs for a given budget of S$1M changed survival to 4.03% (95% CI: 3.96%, 4.10%), 4.04% (95% CI: 3.98%, 4.11%), and 4.44% (95% CI: 4.35%, 4.54%), respectively. This generated 0, 2 and 102 additional life years saved respectively. Given a budget of S$5M or S$10M, 509 or 886 additional life years could be saved, by investing in an additional 10,000 or 20,000 AEDs respectively. The strategies reached a saturation effect whereby improvement in survival was marginal when the budget was increased to ≥S$5M for investment in ambulances and CPR training. Investing in AEDs had the most gain in survival.

Sections du résumé

BACKGROUND
Our study aimed to identify a strategy that maximizes survival upon hospital discharge or 30-days post out-of-hospital cardiac arrest (OHCA) in Singapore for fixed investments of S$1, S$5, or S$10 million. Four strategies were compared: (1) no additional investment; (2) reducing response time via leasing of more ambulances; (3) increasing number of people trained in cardiopulmonary resuscitation (CPR); and (4) automated external defibrillators (AED).
METHODS
We estimated the effect of ambulance response time, bystander CPR and AED on survival based on Singapore's 2010-2015 OHCA registry data. We simulated the changes in ambulance response times and likelihood of (1) CPR and (2) AED usage as a function of their increased availability, which was then combined with the effect of each factor to determine the increase in survival for each strategy.
RESULTS
Survival given no additional investment was 4.03% (95% CI: 3.96%, 4.10%). The investments in ambulances, CPR training and AEDs for a given budget of S$1M changed survival to 4.03% (95% CI: 3.96%, 4.10%), 4.04% (95% CI: 3.98%, 4.11%), and 4.44% (95% CI: 4.35%, 4.54%), respectively. This generated 0, 2 and 102 additional life years saved respectively. Given a budget of S$5M or S$10M, 509 or 886 additional life years could be saved, by investing in an additional 10,000 or 20,000 AEDs respectively. The strategies reached a saturation effect whereby improvement in survival was marginal when the budget was increased to ≥S$5M for investment in ambulances and CPR training.
CONCLUSIONS
Investing in AEDs had the most gain in survival.

Identifiants

pubmed: 32027981
pii: S0300-9572(20)30050-2
doi: 10.1016/j.resuscitation.2020.01.026
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

39-46

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Y Wei (Y)

Singapore Clinical Research Institute, Singapore, Singapore. Electronic address: yuan.wei.k@gmail.com.

P P Pek (PP)

Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

B Doble (B)

Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

E A Finkelstein (EA)

Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

W Wah (W)

Unit for Prehospital Emergency Care, Singapore General Hospital, Singapore, Singapore.

Y Y Ng (YY)

Home Team, Ministry of Home Affairs, Singapore, Singapore; Emergency Department, Tan Tock Seng Hospital, Singapore, Singapore.

S O Cheah (SO)

Emergency Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.

M Y C Chia (MYC)

Emergency Department, Tan Tock Seng Hospital, Singapore, Singapore.

B S H Leong (BSH)

Emergency Medicine Department, National University Hospital, Singapore, Singapore.

H N Gan (HN)

Accident & Emergency, Changi General Hospital, Singapore, Singapore.

D R H Mao (DRH)

Acute and Emergency Care, Khoo Teck Puat Hospital, Singapore, Singapore.

L P Tham (LP)

Children's Emergency, KK Women's and Children's Hospital, Singapore, Singapore.

S Fook-Chong (S)

Health Services Research Unit, Singapore General Hospital, Singapore, Singapore.

M E H Ong (MEH)

Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

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