Objective: The aim of this study was to investigate the utilization of ambulance services that resulted from alcohol and drug intoxication over a period of 1 year in a metropolitan area, with an emphasis on characteristic differences between patients with one-time versus repeated use.
Method: All ambulance-service report forms filed in 2010 were systematically screened for utilizations in which alcohol intoxication or intoxication resulting from consumption of illicit or legal drugs other than alcohol was the chief complaint (N = 2,341 patients; 65% male).
Results: Repeat users differed from persons with one-time use in their characteristics and patterns of intoxication. On average, patients with repeated ambulance use were almost 8 years older and had a different pattern of ambulance use over the course of the week with no clear peak on any specific day. The mean number of ambulance services in patients with repeated use was 2.8 (SD = 1.517) in the 1-year study period. Repeat users were less likely to be injured than patients with one-time ambulance-service use and more often showed aggression or uncooperative behavior toward paramedics. All cases of death associated with intoxication involved patients with one-time ambulance use.
Conclusions: The ambulance-service users' generally slight impairment of consciousness and the high proportion of intoxicated patients without any injuries raise the question of how many of these patients could be adequately cared for in a sobering center. Sobering centers might relieve hospital emergency departments of patients not requiring acute emergency care and, in addition, could provide intervention services to prevent relapses.
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http://dx.doi.org/10.15288/jsad.2013.74.484 | DOI Listing |
J Gen Intern Med
January 2025
Icahn School of Medicine at Mount Sinai, Institute for Health Equity Research, New York, USA.
Background: Over 60 million patients in the USA have limited English proficiency (LEP) and experience barriers in care. Still, there exists no standardized method of monitoring the utilization of language interpreting services (LIS).
Objective: To introduce a methodological approach to systematically monitor utilization of LIS for LEP patients.
Sci Rep
January 2025
Department of Urology, Vanderbilt University Medical Center, Nashville, USA.
Recent advancements of large language models (LLMs) like generative pre-trained transformer 4 (GPT-4) have generated significant interest among the scientific community. Yet, the potential of these models to be utilized in clinical settings remains largely unexplored. In this study, we investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were due to symptomatic kidney stones.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012-2021) using electronic medical records. Various NLP models, including four machine learning (ML) models with Term Frequency-Inverse Document Frequency (TF-IDF) and two DL models based on the KM-BERT framework, were trained to differentiate emergency cases using clinician transcripts.
View Article and Find Full Text PDFBMJ Qual Saf
January 2025
Medical Services and Techniques, Health Services Vocational School, Marmara Üniversitesi, Istanbul, Turkey.
Background: Natural hazards, such as earthquakes, pose a significant risk to both the public and healthcare professionals, jeopardising patient safety due to the disruption of healthcare systems and services. This study aimed to explore the lived experiences of healthcare professionals concerning patient safety during natural hazards, specifically earthquakes.
Methods: Employing a descriptive phenomenological approach, the study followed the Consolidated Criteria for Reporting Qualitative Research guidelines.
Int J Surg Case Rep
January 2025
Department of Urology, Faculty of Medicine, Udayana University, Universitas Udayana Teaching Hospital, Bali, Indonesia.
Introduction: Urethral stone (US) is an uncommon disease that may be associated with other conditions. It's interesting if the patient neglected his disease after decades. This case report discusses the giant anterior urethral stone, as well as the neglect in the peripheral area.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!