2018
DOI: 10.3390/ijerph15071385
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Exploring Harms Experienced by Children Aged 7 to 11 Using Ambulance Attendance Data: A 6-Year Comparison with Adolescents Aged 12–17

Abstract: Many population data sources do not routinely collect data of children under 12, despite research showing that mental health, self-injurious behaviour, and substance ingestion can have severe consequences in this age group. We used 6 years (January 2012 to December 2017) of ambulance attendance data from the Australian state of Victoria to characterise mental health, self-injurious behaviour, and substance ingestion in children aged 7–11. We compared this group to older children aged 12–17. We found that in co… Show more

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Cited by 10 publications
(12 citation statements)
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“…Australian studies with age‐breakdowns have been undertaken at state level, particularly Victoria and NSW . Nationally, ED data by age group using a narrow definition of MH diagnoses (ICD‐10‐AM F00 to F99 as the primary diagnosis, MH dx ), have been reported annually by the Australian Institute of Health and Welfare (AIHW) for 2004–05 to 2016–17, but no trends have been assessed.…”
Section: Introductionmentioning
confidence: 99%
“…Australian studies with age‐breakdowns have been undertaken at state level, particularly Victoria and NSW . Nationally, ED data by age group using a narrow definition of MH diagnoses (ICD‐10‐AM F00 to F99 as the primary diagnosis, MH dx ), have been reported annually by the Australian Institute of Health and Welfare (AIHW) for 2004–05 to 2016–17, but no trends have been assessed.…”
Section: Introductionmentioning
confidence: 99%
“…NASS provides an internationally unique resource that sits alongside population measures of AOD use and burden of disease modelling, to provide an understanding of the impacts of AOD consumption. Data from NASS have informed public policy interventions and clinical practice related to AOD trends and harm [28][29][30][31][32]. Additionally, Victorian data are freely accessible and used by the public, policy makers, clinicians, and researchers via an online interactive website (www.AODstats.org.au).…”
Section: Resultsmentioning
confidence: 99%
“…These data have clinical utility, and have been used to identify emerging trends related to the misuse of prescription medications (e.g., quetiapine [33] and pregabalin [34]), illicit drugs (e.g., GHB) [35] as well as mental health harms (e.g., methamphetamine in psychosis-related ambulance attendances [36]). Data can also be used to highlight population sub-groups at particular risk of harm, who may be hard-to-reach (e.g., substance use in young adolescents) [29]. Data has also been used to compare patterns of harms in substances and patterns of substances in specific harms [37].…”
Section: Resultsmentioning
confidence: 99%
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“…In its implementation, this feature can be implemented/applied to the process and management of employee presence in agencies such as the Office of Communication and Information (Diskominfo). Presence can be said to be an attendance data collection [6] that is part of the reporting activities in an institution. Presence is structured and arranged so that it is easy to find and use when needed by interested parties [7] [8].…”
Section: Introductionmentioning
confidence: 99%