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A comparison of methods to identify alcohol involvement in youth injury-related emergency department presentation data

Authors

  • Kirsten Vallmuur,

    Corresponding author
    • Centre for Accident Research and Road Safety Queensland, School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
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  • Jesani Limbong,

    1. Centre for Accident Research and Road Safety Queensland, School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
    2. Queensland Injury Surveillance Unit, Mater Health Services, Brisbane, Australia
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  • Ruth Barker,

    1. Queensland Injury Surveillance Unit, Mater Health Services, Brisbane, Australia
    2. Paediatric Emergency Department, Mater Children's Hospital, Brisbane, Australia
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  • Leanne Hides

    1. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
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  • Kirsten Vallmuur, PhD BSocSc (Psych) (Hons), ARC Future Fellow, Jesani Limbong, BHlthSc (HlthInfoMgt), PhD Scholar and Research Assistant, Ruth Barker, MBBS, FRACPaeds, MPH, Staff Specialist, Director, Leanne Hides, PhD (Clin), ARC Future Fellow.

Correspondence to Dr Kirsten Vallmuur, Centre for Accident Research and Road Safety Queensland, School of Psychology and Counselling, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Qld 4059, Australia. Tel: +61 7 3138 9753; Fax: +61 7 3138 0111; E-mail: k.vallmuur@qut.edu.au

Abstract

Introduction and Aims

The study aims to compare methods for identifying alcohol involvement in injury-related emergency department (ED) presentation in Queensland youth, and explore alcohol terminology used in triage text.

Design and Methods

ED Information System data were provided for patients aged 12–24 years with an injury-related diagnosis code for a 5-year period 2006–2010 presenting to a Queensland ED (n = 348 895). Three approaches were used to estimate alcohol involvement: (i) analysis of coded data; (ii) mining of triage text; and (iii) estimation using an adaptation of alcohol attributable fractions.

Results

Around 6.4% of these injury presentations overall had some documentation of alcohol involvement, with higher proportions of alcohol involvement documented for 18 to 24-year-olds, females, indigenous youth, where presentations occurred on a Saturday or Sunday, and where presentations occurred between midnight and 5 am. The most common alcohol terms identified for all subgroups were generic alcohol terms (e.g. ethanol or alcohol), with almost half of the cases where alcohol involvement was documented having a generic alcohol term recorded in the triage text.

Discussion and Conclusions

ED data are useful sources of information for identification of high-risk sub-groups to target intervention opportunities, though it is not a reliable source of data for incidence or trend estimation in its current unstandardised form. Improving the accuracy and consistency of identification, documenting and coding of alcohol involvement at the point of data capture in the ED is the most desirable long-term approach to produce a more solid evidence base to support policy and practice in this field. [Vallmuur K, Limbong J, Barker R, Hides L. A comparison of methods to identify alcohol involvement in youth injury-related emergency department presentation data. Drug Alcohol Rev 2013;32:519–526]

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