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Background To examine unintentional drowning mortality by age and body of water across 60 countries, to provide a starting point for further in-depth investigations within individual countries. Methods The latest available three years of mortality data for each country were extracted from WHO Health Statistics and Information Services (updated at 13 November 2013). We calculated mortality rate of unintentional drowning by age group for each country. For countries using International Classification of Disease 10 (ICD-10) detailed 3 or 4 Character List, we further examined the body of water involved. Results A huge variation in age-standardised mortality rate (deaths per 100 000 population) was noted, from 0.12 in Turkey to 9.19 in Guyana. Of the ten countries with the highest age-standardised mortality rate, six (Belarus, Lithuania, Latvia, Russia, Ukraine and Moldova) were in Eastern Europe and two (Kazakhstan and Kyrgyzstan) were in Central Asia. Some countries ( Japan, Finland and Greece) had a relatively low rank in mortality rate among children aged 0-4 years, but had a high rank in mortality rate among older adults. On the contrary, South Africa and Colombia had a relatively high rank among children aged 0-4 years, but had a relatively low rank in mortality rate among older adults. With regard to body of water involved, the proportion involving a bathtub was extremely high in Japan (65%) followed by Canada (11%) and the USA (11%). Of the 13 634 drowning deaths involving bathtubs in Japan between 2009 and 2011, 12 038 (88%) were older adults aged 65 years or above. The percentage involving a swimming pool was high in the USA (18%), Australia (13%), and New Zealand (7%). The proportion involving natural water was high in Finland (93%), Panama (87%), and Lithuania (85%). Conclusions After considering the completeness of reporting and quality of classifying drowning deaths across countries, we conclude that drowning is a highpriority public health problem in Eastern Europe, Central Asia, Japan (older adults involving bathtubs), and the USA (involving swimming pools). [ABSTRACT FROM AUTHOR]

Objectives: The aims are to: (1) Determine the cumulative incidence of self-reported subsequent injury (of any anatomical site or injury type) occurring between 3 months and 12 months after a sentinel injury among participants in the Prospective Outcomes of Injury Study in New Zealand and (2) Examine the preinjury and injury-related predictors of subsequent injury. Methods: Prospective Outcomes of Injury Study participants (n=2282) were interviewed 3 months, 5 months and 12 months after a sentinel injury event. Data were collected about a range of preinjury and injury-related factors at the 3-month interview and about subsequent injury at the 5-month and 12-month interviews. Poisson regression modelling was used to determine the preinjury and injury-related predictors of subsequent injury. Results: Between the 3-month and 12 month interviews 28% of the participants reported at least one subsequent injury. Subsequent injury was 34% more likely among participants with a prior injury affecting them at the time of the sentinel injury compared with participants without a prior injury affecting them, and more likely among non-workers (31% more likely) and trade/manual workers (32% more likely) compared with professionals. Participants whose sentinel injury was due to assault were 43% more likely to report a subsequent injury compared with those whose sentinel injury was accidental. A subsequent injury was 23% less likely if the sentinel injury was a lower extremity fracture compared with other injuries, and 21% less likely if the sentinel injury event involved hospitalisation. Conclusions: Among general injury populations it may be possible to identify people at increased risk for subsequent injury. [ABSTRACT FROM AUTHOR]

Background To monitor accurately injury incidence trends, indicators should measure incidence independently of extraneous factors. Frequencies and rates of New Zealand's serious non-fatal self-harm indicators may be prone to fluctuations in reporting owing, for example, to changing social norms. Hence, they have been considered provisional. Aim To validate empirically the serious non-fatal self-harm indicators. Methods All serious non-fatal first admissions to hospital were identified and classified according to whether principal diagnosis (PDx) was injury or mental disorder, and conversely whether contributing diagnoses were mental disorder or injury. The proportion assigned self-harm external cause of injury code (E-code) was calculated for each year from 2001 to 2007. Subsequently, all cases with a self-harm E-code were identified, and the proportion with a PDx of injury and contributing diagnosis of mental disorder, or PDx of mental disorder and contributing diagnosis of injury over time, were determined. Results No linear changes over time were detected in the proportion of cases assigned an injury PDx, or the proportion assigned a mental disorder PDx, or the proportion with a self-harm E-code. The estimated maximum observed increase in the frequency of serious non-fatal self-harm hospitalisation explained by changes in reporting was 19e 40%. Conclusion Identification of serious non-fatal self-harm events using an operational definition of PDx of injury, a self-harm first listed E-code, and an appropriate severity cut-off point, is a valid method of monitoring incidence and rates in New Zealand. [ABSTRACT FROM AUTHOR]

Background Effective use of routinely collected hospital discharge data (HDD) to estimate injury incidence requires a separate identification of new injuries from readmissions for a previous injury. The aim was to determine the accuracy of a computerised algorithm to identify injury readmissions in HDD. Methods A random sample of 2000 events ('key events') were selected from the 2006 injury subset of New Zealand's HDD. Discharge histories from 1989 to 2007 were extracted for individuals and manually reviewed by at least two people to determine the 'gold standard' readmission status of each key event. The algorithm relies on four variables: unique national person identifier, dates of injury, admission and discharge. Reviewers were provided with these variables as well as additional discharge information (eg, discharge type and external cause code narrative) recorded in the HDD. Results of the manual review were compared to those obtained from the algorithm. Results The algorithm assigned 1811 (90.6%) as incident admissions compared to 1800 (90.0%) classified by the gold standard. Agreement was 97.9%, and accuracy measures (sensitivity, specificity, negative predictive value and positive predictive value) ranged from 87% to 99%. No statistically significant differences between readmission assignation by the algorithm and the gold standard were observed by age, nature of injury, external cause of injury or body region. Conclusions Any country with electronic HDD could readily identify readmissions and, thus, accurately estimate injury incidence from HDD, providing that a unique person identifier and the date of injury were included in addition to the obligatory dates of admission and discharge. [ABSTRACT FROM AUTHOR]

Background: Few studies document the health burden attributable to intimate partner violence (IPV) at the population level. Objectives: To document injuries resulting from IPV and women's use of healthcare for treatment of IPV injuries using the New Zealand Violence Against Women Study. Methods: A cross-sectional household survey was conducted using a population-based cluster sampling scheme. In total, 2855 women aged 18--64 years were interviewed about their experience of IPV, injuries resulting from violence, and their use of healthcare services. Results: Of the 956 women who had experienced physical and/or sexual IPV in their lifetime, half were injured at least once as a result of the violence. The most common injuries were abrasions and bruises; followed by cuts, punctures, bites; and injuries to the eye or ear. Many women reported that they needed healthcare for treatment of IPV injuries, yet most (86%) did not receive healthcare on all occasions it was needed. Half of ever-injured women who received treatment told a healthcare provider the reason for their injury. Among those who did not disclose, shame was the most frequent reason for not telling, followed by fear of further violence. Conclusions: This population-based study documents the injury-burden created by IPV, to individuals, healthcare systems, and the population. Implications include supporting healthcare providers to respond to victims of violence and the need for prevention strategies at the population level. [ABSTRACT FROM AUTHOR]