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1.
Aust N Z J Public Health ; 45(3): 248-254, 2021 Jun.
Article in English | MEDLINE | ID: mdl-34028908

ABSTRACT

OBJECTIVE: To examine temporal trends in drowning in Australia against targets set in the Australian Water Safety Strategy (AWSS) 2008-2020 and to inform the development of the next iteration of the Strategy. METHODS: A national analysis of unintentional fatal drowning rates per 100,000 population over 16 years (2004/05-2019/20) was conducted. Baseline rates (three-year average 2004/05-2006/07) were compared to the current three-year average (2017/18-2019/20) by sex, age group, drowning location and jurisdiction. RESULTS: The overall rate of unintentional fatal drowning during the period decreased by 28%. Substantial reductions were observed in children 0-4 years (-63%) and 5-14 years (-56%). Progress has been less pronounced among people aged 75 years and over (-11%) and 15-24-year-olds (-14%). All locations and jurisdictions recorded reductions, aside from rocks (+46%). CONCLUSIONS: Although the strategy fell short of its aspirational target of a 50% reduction in drowning by the year 2020, this target was exceeded in key age groups, including children. Implications for public health: The AWSS is a powerful tool to align drowning prevention sector actions to agreed objectives. Forthcoming strategies must take into consideration demographic and social change, areas where limited progress has been made and the latest evidence to guide future priorities.


Subject(s)
Accident Prevention , Accidents/mortality , Drowning/mortality , Drowning/prevention & control , Adolescent , Age Distribution , Age Factors , Australia/epidemiology , Child , Child, Preschool , Humans , Infant , Male , Retrospective Studies , Risk Factors
2.
BMJ Open ; 8(11): e024868, 2018 11 24.
Article in English | MEDLINE | ID: mdl-30473541

ABSTRACT

OBJECTIVES: The epidemiology of fatal drowning is increasingly understood. By contrast, there is relatively little population-level research on non-fatal drowning. This study compares data on fatal and non-fatal drowning in Australia, identifying differences in outcomes to guide identification of the best practice in minimising the lethality of exposure to drowning. DESIGN: A subset of data on fatal unintentional drowning from the Royal Life Saving National Fatal Drowning Database was compared on a like-for-like basis to data on hospital separations sourced from the Australian Institute of Health and Welfare's National Hospital Morbidity Database for the 13-year period 1 July 2002 to 30 June 2015. A restrictive definition was applied to the fatal drowning data to estimate the effect of the more narrow inclusion criteria for the non-fatal data (International Classification of Diseases (ICD) codes W65-74 and first reported cause only). Incidence and ratios of fatal to non-fatal drowning with univariate and Χ2 analysis are reported and used to calculate case-fatality rates. SETTING: Australia, 1 July 2002 to 30 June 2015. PARTICIPANTS: Unintentional fatal drowning cases and cases of non-fatal drowning resulting in hospital separation. RESULTS: 2272 fatalities and 6158 hospital separations occurred during the study period, a ratio of 1:2.71. Children 0-4 years (1:7.63) and swimming pools (1:4.35) recorded high fatal to non-fatal ratios, whereas drownings among people aged 65-74 years (1:0.92), 75+ years (1:0.87) and incidents in natural waterways (1:0.94) were more likely to be fatal. CONCLUSIONS: This study highlights the extent of the drowning burden when non-fatal incidents are considered, although coding limitations remain. Documenting the full burden of drowning is vital to ensuring that the issue is fully understood and its prevention adequately resourced. Further research examining the severity of non-fatal drowning cases requiring hospitalisation and tracking outcomes of those discharged will provide a more complete picture.


Subject(s)
Drowning/epidemiology , Near Drowning/epidemiology , Adolescent , Adult , Aged , Australia , Baths/statistics & numerical data , Child , Child, Preschool , Cross-Sectional Studies , Drowning/prevention & control , Female , Humans , Incidence , Infant , Male , Middle Aged , Near Drowning/prevention & control , Retrospective Studies , Risk Factors , Swimming Pools/statistics & numerical data , Young Adult
3.
BMJ Open ; 7(12): e019407, 2017 12 21.
Article in English | MEDLINE | ID: mdl-29273670

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.


Subject(s)
Clinical Coding/statistics & numerical data , Drowning/mortality , Adolescent , Adult , Age Distribution , Australia/epidemiology , Cause of Death , Child , Child, Preschool , Cross-Sectional Studies , Databases, Factual , Female , Humans , Infant , Infant, Newborn , International Classification of Diseases , Male , Middle Aged , Retrospective Studies , Risk Factors , Sex Distribution , Young Adult
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