Observational studyBMJ open2016
Are sociodemographic characteristics associated with spatial variation in the incidence of OHCA and bystander CPR rates? A population-based observational study in Victoria, Australia.
Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Where you live matters: socioeconomic disparities in out-of-hospital cardiac arrest incidence and survival in Western Australia - A population-based cohort study.Resuscitation plus · 2026Article
- Geospatial mapping of disparities in out-of-hospital cardiac arrests in the Swiss canton of Fribourg, 2018-2022: A retrospective observational study.Resuscitation plus · 2025Article
- Spatial dependence of non-traumatic out-of-hospital cardiac arrest in a Swiss region: A retrospective analysis.Resuscitation plus · 2024Article
- The association of depression and patient and resuscitation characteristics with survival after out-of-hospital cardiac arrest: a cohort study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Association of socioeconomic status with 30-day survival following out-of-hospital cardiac arrest in Scotland, 2011-2020.European heart journal. Quality of care & clinical outcomes · 2024Article
- Observational
- Where do we need to improve resuscitation? Spatial analysis of out-of-hospital cardiac arrest incidence and mortality.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
- Out-of-hospital cardiac arrests and bystander response by socioeconomic disadvantage in communities of New South Wales, Australia.Resuscitation plus · 2022Article
- Epidemiological characteristics and factors associated with out-of-hospital cardiac arrest attended by bystanders before ambulance arrival.Anales del sistema sanitario de Navarra · 2021Observational
- Pre-hospital factors and survival after out-of-hospital cardiac arrest according to population density, a nationwide study.Resuscitation plus · 2020Article
- Relationship between socioeconomic status and incidence of out-of-hospital cardiac arrest is dependent on age.Journal of epidemiology and community health · 2020Article
- Article
- Characteristics of neighbourhoods with high incidence of out-of-hospital cardiac arrest and low bystander cardiopulmonary resuscitation rates in England.European heart journal. Quality of care & clinical outcomes · 2019Article
- Regions With Low Rates of Bystander Cardiopulmonary Resuscitation (CPR) Have Lower Rates of CPR Training in Victoria, Australia.Journal of the American Heart Association · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRates of out-of-hospital cardiac arrest (OHCA) and bystander cardiopulmonary resuscitation (CPR) have been shown to vary considerably in Victoria. We examined the extent to which this variation could be explained by the sociodemographic and population health characteristics of the region.
methodsUsing the Victorian Ambulance Cardiac Arrest Registry, we extracted OHCA cases occurring between 2011 and 2013. We restricted the calculation of bystander CPR rates to those arrests that were witnessed by a bystander. To estimate the level of variation between Victorian local government areas (LGAs), we used a two-stage modelling approach using random-effects modelling.
resultsBetween 2011 and 2013, there were 15 830 adult OHCA in Victoria. Incidence rates varied across the state between 41.9 to 104.0 cases/100 000 population. The proportion of the population over 65, socioeconomic status, smoking prevalence and education level were significant predictors of incidence in the multivariable model, explaining 93.9% of the variation in incidence among LGAs. Estimates of bystander CPR rates for bystander witnessed arrests varied from 62.7% to 73.2%. Only population density was a significant predictor of rates in a multivariable model, explaining 73% of the variation in the odds of receiving bystander CPR among LGAs.
conclusionsOur results show that the regional characteristics which underlie the variation seen in rates of bystander CPR may be region specific and may require study in smaller areas. However, characteristics associated with high incidence and low bystander CPR rates can be identified and will help to target regions and inform local interventions to increase bystander CPR rates.
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