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

Vallmuur, Kirsten; Limbong, Jesani; Barker, Ruth; Hides, Leanne

doi:10.1111/dar.12051

Cited by 11 publications

(27 citation statements)

References 12 publications

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“…Although there is growing evidence for the reliability of text mining methods for identifying alcohol‐related presentations in ED databases [5–7,19], this method still relies on both the quality of the information provided by patients and the triage text entered by ED staff. Research is yet to determine the impact of the quality or completeness of nursing triage text on the reliability of text mining methods.…”

Section: Discussionmentioning

confidence: 99%

“…Although there is growing evidence for the reliability of text mining methods for identifying alcohol-related presentations in ED databases [5][6][7]19], this method still relies on both the quality of the information provided by patients and the triage text entered by ED staff.…”

Section: Discussionmentioning

confidence: 99%

“…Cases of alcohol‐related injury in the QISU data were identified using a combined injury surveillance code and triage text‐mining search strategy [7,17–19]. A total of 10 796 cases (aged 12 years and older) were initially identified using the text terms ‘alcohol’ and ‘intoxicated’ as well as the National Data Standards for Injury Surveillance Major Injury Factor code (0903) for alcohol ( n = 4805 cases) and ICD codes (T51) for ‘Toxic effect of alcohol’ ( n = 248 cases).…”

Section: Methodsmentioning

confidence: 99%

“…The annual ascertainment rate, defined as the number of injury cases captured (regardless of data completeness) over the total number of injury cases (identified using injury ICD codes) per site ranged from 48% to 87% across the 35 participating EDs between 1999 and 2011 (see http://www.qisu.org.au/ModCoreFrontEnd/ index.asp?pageid=109). Cases of alcohol-related injury in the QISU data were identified using a combined injury surveillance code and triage text-mining search strategy [7,[17][18][19]. A total of 10 796 cases (aged 12 years and older) were initially identified using the text terms 'alcohol' and 'intoxicated' as well as the National Data Standards for Injury Surveillance Major Injury Factor code (0903) for alcohol (n = 4805 cases) and ICD codes (T51) for 'Toxic effect of alcohol' (n = 248 cases).The search was repeated using additional alcohol search terms categorised as follows: type of alcohol beverages (e.g.…”

Section: Participants and Proceduresmentioning

confidence: 99%

See 3 more Smart Citations

Alcohol‐related emergency department injury presentations in Queensland adolescents and young adults over a 13‐year period

Hides

Limbong

Vallmuur

et al. 2014

Drug and Alcohol Review

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Participants and Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

Alcohol‐related emergency department injury presentations in Queensland adolescents and young adults over a 13‐year period

Hides

Limbong

Vallmuur

et al. 2014

Drug and Alcohol Review

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“…[12][13][14][15] Given that these text data are routinely recorded relatively widely throughout Australia and are not onerous in terms of data collection demands on clinical staff, evaluating methods for searching these data for specific injury surveillance purposes is valuable to inform the future development and use of ED text for injury surveillance in Australia.…”

mentioning

confidence: 99%

Infant product‐related injuries: comparing specialised injury surveillance and routine emergency department data

Vallmuur

Barker

2016

Australian and New Zealand Journal of Public Health

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Objective: To explore the potential for using a basic text search of routine emergency department data to identify product-related injury in infants and to compare the patterns from routine ED data and specialised injury surveillance data.Methods: Data was sourced from the Emergency Department Information System (EDIS) and the Queensland Injury Surveillance Unit (QISU) for all injured infants between 2009 and 2011. A basic text search was developed to identify the top five infant products in QISU. Sensitivity, specificity, and positive predictive value were calculated and a refined search was used with EDIS. Results were manually reviewed to assess validity. Descriptive analysis was conducted to examine patterns between datasets. Results:The basic text search for all products showed high sensitivity and specificity, and most searches showed high positive predictive value. EDIS patterns were similar to QISU patterns with strikingly similar month-of-age injury peaks, admission proportions and types of injuries. Conclusions:This study demonstrated a capacity to identify a sample of valid cases of productrelated injuries for specified products using simple text searching of routine ED data. Implications:As the capacity for large datasets grows and the capability to reliably mine text improves, opportunities for expanded sources of injury surveillance data increase. This will ultimately assist stakeholders such as consumer product safety regulators and child safety advocates to appropriately target prevention initiatives.

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Enacting alcohol realities: gendering practices in Australian studies on ‘alcohol‐related presentations’ to emergency departments

Moore

Keane

Duncan

2019

Sociology Health & Illness

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‘Alcohol‐fuelled violence’ and its prevention has been the subject of recent intense policy debate in Australia, with the content of this debate informed by a surprisingly narrow range of research resources. In particular, given the well‐established relationship between masculinities and violence, the meagre attention paid to the role of gender in alcohol research and policy recommendations stands out as a critical issue. In this article, which draws on recent work in feminist science studies and science and technology studies, we focus on the treatment of gender, alcohol and violence in Australian research on ‘alcohol‐related presentations’ to emergency departments (EDs), analysing this type of research because of its prominence in policy debates. We focus on four types of ‘gendering practice’ through which research genders ‘alcohol‐related presentations’ to EDs: omitting gender from consideration, overlooking clearly gendered data when making gender‐neutral policy recommendations, rendering gender invisible via methodological considerations, and addressing gender in terms of risk and vulnerability. We argue that ED research practices and their policy recommendations reproduce normative understandings of alcohol's effects and of the operations of gender in social arrangements, thereby contributing to the ‘evidence base’ supporting unfair policy responses.

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

Cited by 11 publications

References 12 publications

Alcohol‐related emergency department injury presentations in Queensland adolescents and young adults over a 13‐year period

Alcohol‐related emergency department injury presentations in Queensland adolescents and young adults over a 13‐year period

Infant product‐related injuries: comparing specialised injury surveillance and routine emergency department data

Enacting alcohol realities: gendering practices in Australian studies on ‘alcohol‐related presentations’ to emergency departments

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