Exploring the burden of fatal drowning and data characteristics in three high income countries: Australia, Canada and New Zealand

Peden, Amy E., Franklin, Richard C., and Clemens, Tessa (2019) Exploring the burden of fatal drowning and data characteristics in three high income countries: Australia, Canada and New Zealand. BMC Public Health, 19. 794.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (638kB) | Preview
View at Publisher Website: https://doi.org/10.1186/s12889-019-7152-...
 
27
883


Abstract

Background: Drowning is a leading and preventable cause of death that has suffered an attention deficit. Improving drowning data in countries would assist the understanding of the full extent and circumstances of drowning, to target interventions and evaluate their effectiveness. The World Health Organization identifies data collection as a key strategy underpinning effective interventions. This study compares unintentional fatal drowning data collection, management and comparison using the databases of Australia, Canada and New Zealand. Methods: Cases of fatal unintentional drowning between 1-January-2005 and 31-December-2014 were extracted. Cases were combined into a single dataset and univariate and chi square analysis (p < 0.01) were undertaken. Location and activity variables were mapped and combined. Variables consistently collected across the three countries were compared to the ILCOR Drowning Data Guideline. The authors also recommend variables for a minimum core dataset. Results: Of 55 total variables, 19 were consistent and 13 could be compared across the three databases. When mapped against the ILCOR Drowning Data Guideline, six variables were consistently collected by all countries, with five compared within this study. The authors recommend a minimum core dataset of 11 variables including age, sex, location, activity, date of incident, and alcohol and drug involvement). There were 8176 drowning deaths (Australia 34.1%, Canada 55.9%, New Zealand 9.9%). All countries achieved reductions in crude drowning rates (Australia - 10.2%, Canada - 20.4%, New Zealand - 24.7%). Location and activity prior to drowning differed significantly across the three countries. Beaches (X2 = 1151.0;p < 0.001) and ocean/harbour locations (X2 = 300.5;p < 0.001) were common in Australia and New Zealand, while lakes/ponds (X2 = 826.5;p < 0.001) and bathtubs (X2 = 27.7;p < 0.001) were common drowning locations in Canada. Boating prior to drowning was common in Canada (X2 = 66.3;p < 0.001). Conclusions: The comparison of data across the three countries was complex. Work was required to merge categories within the 20% of variables collected that were comparable, thus reducing the fidelity of data available. Data sources, collection and coding varied by country, with the widest diversity seen in location and activity variables. This study highlights the need for universally agreed and consistently applied categories and definitions to allow for global comparisons and proposes a core minimum dataset.

Item ID: 61787
Item Type: Article (Research - C1)
ISSN: 1471-2458
Keywords: Coding systems, Drowning, Epidemiology, Mortality, Public health
Copyright Information: © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Funders: Royal Lifesaving Society, Australia, The Drowning Prevention Research Centre, Canada, Water Safety New Zealand
Date Deposited: 10 Feb 2020 01:18
FoR Codes: 42 HEALTH SCIENCES > 4202 Epidemiology > 420206 Forensic epidemiology @ 100%
SEO Codes: 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920409 Injury Control @ 100%
Downloads: Total: 883
Last 12 Months: 93
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page