The association between school holidays and unintentional fatal drowning among children and adolescents aged 5-17 years.

AIM: Children aged 5-17 years in Australia have one of the lowest unintentional fatal drowning rates. One possible explanation is the protective effect of formal schooling, reducing leisure time for exposure to water hazards. We examine differences in frequency and circumstances of drowning deaths in this age group between school holidays and school days in Australia. METHODS: A total population survey (2005-2014) of unintentional fatal drownings was extracted from the (Australian) Royal Life Saving National Fatal Drowning Database. Date of drowning incident and state of residence were used to determine if the drowning occurred during school days or school holidays (including public holidays). RESULTS: A total of 188 5-17 year-olds drowned during the study period. We found a statistically significant difference between drowning incidence during school holidays and school days, with relative risk (RR) of drowning on a holiday 2.40 times higher (confidence interval (CI): 1.82-3.18) than on a school day. This risk was similar for males (RR = 2.41; CI: 1.75-3.33) and females (RR = 2.38; CI: 1.33-4.27) but differs between children 5-9 years (RR = 3.05; CI: 1.98-4.72) and adolescents 10-17 years of age (RR = 2.02; CI: 1.38-2.93). CONCLUSIONS: Drowning rates among 5-17 year-olds are more than twice as high during holidays than on school days. Impact of school holidays was the strongest among younger children, visitors to the drowning location and in pools and inland waterways. Results were robust to alternative specifications excluding weekends and treating them as holidays. Prevention strategies may include counselling parents and care providers of the increased risk ahead of school holidays, education on drowning risk in the school curriculum and extra holidays for parents and care givers.

Calculating the economic burden of fatal drowning in Australia.

BACKGROUND: Aquatic activities provide physical and social benefits, while the risk of drowning generates countervailing social costs. Drawing on estimates of fatal drowning gathered by Royal Life Saving Society - Australia, this paper outlines a method for estimating the economic burden attributable to fatal drowning. METHODS: This study estimated the burden of fatal drowning by combining Value of a Statistical Life Year (VSLY), hospitalization, productivity and emergency services costs. All unintentional fatal drowning cases in Australia between 1-July-2002 and 30-June-2017 were included. Foregone life years from each drowning were estimated based on Australian life expectancies for the year of death. The societal value of these Years of Life Lost was calculated using the VSLY for Australia, adjusted to reflect income elasticity. Corrections to discounting of VSLY were applied. Estimates of productivity losses not captured in VSLY were produced using net national capital growth. Time spent in hospital was found using coronial data and existing estimates of search, ambulance and coronial costs were adapted and incorporated. RESULTS: The study covers 4285 cases of unintentional fatal drowning over 15 years. Based on this sample and estimates for the VSLY ($203,000), the economic burden of fatal drowning for Australia over this 14 year period was $18.63 billion in 2017 Australian dollars, averaging $1.24 billion annually. CONCLUSIONS: Fatal drowning represents a significant source of health burden in Australia, underlining the need for further preventative measures. PRACTICAL APPLICATIONS: We provide an easily-understood estimate of the scale of Australia's fatal drowning problem, permitting comparison with other social problems. They can also be used in determining net benefits of proposed drowning prevention policies and to identify situations where burden of fatal drowning is disproportionate. Suggestions for improving the calculation of societal burden of illness can be incorporated in cost-benefit analyses in related fields of study.

Understanding the full burden of drowning: a retrospective, cross-sectional analysis of fatal and non-fatal drowning in Australia.

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.

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

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.