Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Dec 21;7(12):e019407.
doi: 10.1136/bmjopen-2017-019407.

Using a retrospective cross-sectional study to analyse unintentional fatal drowning in Australia: ICD-10 coding-based methodologies verses actual deaths

Affiliations

Using a retrospective cross-sectional study to analyse unintentional fatal drowning in Australia: ICD-10 coding-based methodologies verses actual deaths

Amy E Peden et al. BMJ Open. .

Abstract

Objectives: Fatal drowning estimates using a single underlying cause of death (UCoD) may under-represent the number of drowning deaths. This study explores how data vary by International Classification of Diseases (ICD)-10 coding combinations and the use of multiple underlying causes of death using a national register of drowning deaths.

Design: An analysis of ICD-10 external cause codes of unintentional drowning deaths for the period 2007-2011 as extracted from an Australian total population unintentional drowning database developed by Royal Life Saving Society-Australia (the Database). The study analysed results against three reporting methodologies: primary drowning codes (W65-74), drowning-related codes, plus cases where drowning was identified but not the UCoD.

Setting: Australia, 2007-2011.

Participants: Unintentional fatal drowning cases.

Results: The Database recorded 1428 drowning deaths. 866 (60.6%) had an UCoD of W65-74 (accidental drowning), 249 (17.2%) cases had an UCoD of either T75.1 (0.2%), V90 (5.5%), V92 (3.5%), X38 (2.4%) or Y21 (5.9%) and 53 (3.7%) lacked ICD coding. Children (aged 0-17 years) were closely aligned (73.9%); however, watercraft (29.2%) and non-aquatic transport (13.0%) were not. When the UCoD and all subsequent causes are used, 67.2% of cases include W65-74 codes. 91.6% of all cases had a drowning code (T75.1, V90, V92, W65-74, X38 and Y21) at any level.

Conclusion: Defining drowning with the codes W65-74 and using only the UCoD captures 61% of all drowning deaths in Australia. This is unevenly distributed with adults, watercraft and non-aquatic transport-related drowning deaths under-represented. Using a wider inclusion of ICD codes, which are drowning-related and multiple causes of death minimises this under-representation. A narrow approach to counting drowning deaths will negatively impact the design of policy, advocacy and programme planning for prevention.

Keywords: drowning; epidemiology; global burden of disease; injury; international classification of diseases (ICD); methodology; public health.

PubMed Disclaimer

Conflict of interest statement

Competing interests: AEP, RCF and AJM were responsible for collating data in the database from the Australian National Coronial Information System (NCIS).

Figures

Figure 1
Figure 1
Flow chart of unintentional fatal drowning cases, Australia, 2007–2011 (n=1428). *A given case may have multiple codes and as such this column of the flow chart will not sum to 100.0%.
Figure 2
Figure 2
Trends over time in unintentional fatal drowning by International Classification of Diseases (ICD) W65-74 code as the underlying cause of death (UCoD), other ICD codes as the UCoD and cases with no ICD codes by calendar year, 2007–2011, Australia (n=1428).

Similar articles

Cited by

References

    1. Haagsma JA, Graetz N, Bolliger I, et al. . The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013. Inj Prev 2016;22:3–18. 10.1136/injuryprev-2015-041616 - DOI - PMC - PubMed
    1. World Health Organization. Global report on drowning: preventing a leading killer. Geneva: World Health Organization, 2014.
    1. Wallis BA, Watt K, Franklin RC, et al. . Where children and adolescents drown in Queensland: a population-based study. BMJ Open 2015;5:e008959 10.1136/bmjopen-2015-008959 - DOI - PMC - PubMed
    1. Denehy M, Leavy JE, Jancey J, et al. . This much water: a qualitative study using behavioural theory to develop a community service video to prevent child drowning in Western Australia. BMJ Open 2017;7:e017005 10.1136/bmjopen-2017-017005 - DOI - PMC - PubMed
    1. Felton H, Myers J, Liu G, et al. . Unintentional, non-fatal drowning of children: US trends and racial/ethnic disparities. BMJ Open 2015;5:e008444 10.1136/bmjopen-2015-008444 - DOI - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources