Objective: Acts of violence occurring in the healthcare setting that involve weapons result in significant morbidity and mortality. New passive weapons screening technology (PWST) offers a potential protective measure. Our objective was to quantify the volume of weapons detected and deterred from our emergency department (ED) over a 12-month period and determine whether it led to weapon-carrier hostility towards frontline staff.
Methods: Mixed-methods study involving a descriptive analysis of weapons detection data and a survey study of security staff regarding weapon-carrier hostility at point of deterrence within the ED of a large, academic, Level 1 trauma center in a Midwest city with an average annual volume of 80,000 patients. The study was deemed exempt by the IRB.
Results: Between 11/1/22 and 10/31/23, 1741 weapons were detected, including knives (n = 1390; 79.8 %), firearms (n = 69; 4.0 %), and other/improvised weapons (n = 282; 16.2 %). Prior to implementation of PWST, average monthly weapons detection was ≤1. Security staff responded to the survey question in 534/1741 (30.7 %) interactions where a weapon was detected. The majority indicated the weapon-carrier was not upset with prevention of weapon(s) from entering (n = 470; 88.0 %).
Conclusion: We found a concerning rate of attempts to bring weapons into our ED. This does not include weapons which may be entering the ED undetected via patients transported by emergency medical services (EMS) or on persons entering through other hospital entrances. Security perception was that most weapon-carriers were not upset with this intervention.
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http://dx.doi.org/10.1016/j.ajem.2024.12.021 | DOI Listing |
Am J Emerg Med
December 2024
Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Objective: Acts of violence occurring in the healthcare setting that involve weapons result in significant morbidity and mortality. New passive weapons screening technology (PWST) offers a potential protective measure. Our objective was to quantify the volume of weapons detected and deterred from our emergency department (ED) over a 12-month period and determine whether it led to weapon-carrier hostility towards frontline staff.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
Department of Computer Science and Statistics, Universidad Rey Juan Carlos, Mostoles, Madrid, Spain.
Detecting people carrying firearms in outdoor or indoor scenes usually identifies (or avoids) potentially dangerous situations. Nevertheless, the automatic detection of these weapons can be greatly affected by the scene conditions. Commonly, in real scenes these firearms can be seen from different perspectives.
View Article and Find Full Text PDFBehav Sci Law
December 2024
Department of Social Policy, Sociology, and Criminology, School of Social Policy and Society, University of Birmingham, Birmingham, UK.
Research on sexual homicides has primarily focused on male offenders, and thus little is known about female offenders who perpetrated sexual homicides. This study aimed to develop the first statistical classification of female single-victim (SV) sexual homicide offenders (SHOs) using the U.S.
View Article and Find Full Text PDFSci Justice
November 2024
Benxi Judicial Appraisal Institution, Benxi Liaoning, China.
ce proliferation of audio sensors in surveillance, smartphones, and numerous devices has made gunshots-based event detection and forensic analysis critical for prompt police action and crime scene reconstruction. This paper initiates an analysis of the acoustic characteristics of gunshots and the variables affecting them, assessing their applicability and limitations in forensic science. It follows with a comprehensive review of existing literature on gunshots detection, identification, and classification technologies, detailing the critical components of machine learning applications, including dataset construction, feature extraction, and classifier selection.
View Article and Find Full Text PDFJ Chromatogr A
January 2025
Institute of Nutritional and Food Sciences, University of Bonn, Friedrich-Hirzebruch Allee 5, D-53115 Bonn, Germany; HyperChrom Deutschland GmbH, Konrad-Zuse-Strasse 3, 53347 Alfter, Germany. Electronic address:
A thermal desorption FF-TG-GC/MS method with a cycle time of just 164s including cryofocusing, thermal desorption, analyte separation and system cool down was developed for the analysis of ten explosives and six chemical warfare agent (CWA) simulants. Sampling was carried out both in liquid and gaseous form using micro thermal desorption tubes (μTD-tubes, 1.4mm I.
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