Dataset Information

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

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 ?² 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.

SUBMITTER: Peden AE

PROVIDER: S-EPMC6254411 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

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

Peden Amy E AE Mahony Alison J AJ Barnsley Paul D PD Scarr Justin J

BMJ open 20181124 11

<h4>Objectives</h4>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.<h4>Design</h4>A subset of data on fatal unintentional drowning from the Royal Life Saving National Fatal Drowning Database w ...[more]

PMID: 30473541

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Project description:ObjectivesThis study aimed to determine the fatal drowning burden and associated risk factors in Southern Bangladesh.SettingsThe survey was conducted in 39 subdistricts of all 6 districts of the Barisal division, Southern Bangladesh.ParticipantsAll residents (for a minimum 6 months prior to survey) of the Barisal division, Southern Bangladesh.Intervention/methodsA cross-sectional, divisionally representative household survey was conducted in all six districts of the Barisal division between September 2016 and February 2017, covering a population of 386 016. Data were collected by face-to-face interview with adult respondents using handheld electronic tablets. International Classification of Diseases (ICD)-v. 10 (ICD-10) Chapter XX: External causes of morbidity and mortality codes for drowning, W65-W74, X36-X39, V90, V92, X71 or X92, were used as the operational definition of a drowning event.ResultsThe overall fatal drowning rate in Barisal was 37.9/100 000 population per year (95% CI 31.8 to 43.9). The highest fatal drowning rate was observed among children aged 1-4 years (262.2/100 000/year). Mortality rates among males (48.2/100 000/year) exceeded that for females (27.9/100 000/year). A higher rate of fatal drowning was found in rural (38.9/100 000/year) compared with urban areas (29.3/100 000/year). The results of the multivariable logistic regression identified that the factors significantly associated with fatal drowning were being male (OR 1.7, 95% CI 1.2 to 2.3), aged 1-4 years (OR 3.0, 95% CI 1.4 to 6.4) and residing in a household with four or more children (four or more children OR 1.8, 95% CI 1.1 to 2.9; and five or more children OR 2.1, 95% CI 1.2 to 3.7).ConclusionDrowning is a public health problem, especially for children, in the Barisal division of Southern Bangladesh. Male gender, children 1-4 years of age and residing in a household with four or more children were associated with increased risk of fatal drowning events. The Barisal division demands urgent interventions targeted at high-risk groups identified in the survey.

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Project description:ObjectivesThis study aimed to evaluate the epidemiology of injury as well as patient-reported health system responsiveness following injury and how this compares with non-injured patient experience, in older individuals in rural Burkina Faso.DesignCross-sectional household survey. Secondary analysis of the CRSN Heidelberg Ageing Study dataset.SettingRural Burkina Faso.Participants3028 adults, over 40, from multiple ethnic groups, were randomly sampled from the 2015 Nouna Health and Demographic Surveillance Site census.Primary and secondary outcome measuresPrimary outcome was incidence of injury. Secondary outcomes were incidence of injury related disability and patient-reported health system responsiveness following injury.Results7.7% (232/3028) of the population reported injury in the preceding 12 months. In multivariable analyses, younger age, male sex, highest wealth quintile, an abnormal Generalised Anxiety Disorder score and lower Quality of Life score were all associated with injury. The most common mechanism of injury was being struck or hit by an object, 32.8%. In multivariable analysis, only education was significantly negatively associated with odds of disability (OR 0.407, 95% CI 0.17 to 0.997). Across all survey participants, 3.9% (119/3028) reported their most recent care seeking episode was following injury, rather than for another condition. Positive experience and satisfaction with care were reported following injury, with shorter median wait times (10 vs 20 min, p=0.002) and longer consultation times (20 vs 15 min, p=0.002) than care for another reason. Injured patients were also asked to return to health facilities more often than those seeking care for another reason, 81.4% (95% CI 73.1% to 87.9%) vs 54.8% (95% CI 49.9% to 53.6%).ConclusionsInjury is an important disease burden in this older adult rural low-income and middle-income country population. Further research could inform preventative strategies, including safer rural farming methods, explore the association between adverse mental health and injury, and strengthen health system readiness to provide quality care.

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Dataset Information

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

Objectives

Design

Setting

Participants

Results

Conclusions

Publications

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

Similar Datasets

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