ArticleThe Kaohsiung journal of medical sciences2003
Feasibility of identification of alcohol intoxication by nurses in emergency departments.
Article in The Kaohsiung journal of medical sciences, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Deliberate self-harm and relationship to alcohol use at an emergency department in eastern Taiwan.The Kaohsiung journal of medical sciences · 2007Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vehicle-related injuries are the major cause of death and injuries in Hualien County, and driving under the influence of alcohol plays a major role in such crashes. From December 1997 to May 1998, we determined the blood alcohol concentrations (BAC) of injured individuals from vehicle crashes at two emergency departments in Hualien. Nurses were asked to record whether the patient presented with an alcohol odor. The accuracy of detection by nurses was assessed from the BAC and groups with increased prevalence were identified for screening. Of 945 patients assessed, 505 (53.4%) tested positive by BAC and 320 (33.9%) were identified with an alcohol odor. With a BAC threshold of more than 50 mg/dL, detection sensitivity was 75.4%, specificity was 90.4%, and accuracy was 85.0% (95% confidence interval: 82.7, 87.3). Patients with an alcohol odor were significantly more likely to be men, aborigines, or head-injured patients. The accuracy of detection showed no significant difference by gender, head injury, or driver status. We suggest that detection of alcohol odor by nurses may be a feasible assessment of the role of alcohol in road traffic accidents. This may provide essential data for injury prevention strategies and programs.
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