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Svenska polisers attityder & kunskap om naloxon i polisiärt arbete : En kvantitativ studie baserad på Teorin om Planerat Beteende enligt OOAS, OOKS & NaRRC-BMagnusson, Tobias, Molin, Jens January 2023 (has links)
Accidental drug poisoning has tripled in Sweden since the start of the 21st century, and statistically the country has had one of the highest overdose death rates in Europe. To reverse an opioid overdose, which is the main cause of drug related death, the antidote naloxone has the capacity of breaking the effect, and it is widely recommended as a safe drug with limited side effects. Police forces around the world have started to use naloxone and there is proven connection between its introduction and a reduced number of drug related deaths. However, Swedish police has not started to use or, as far as we know, investigate use of naloxone despite proven benefits. Since police sometimes are the first to arrive at the scene of an overdose, naloxone in a police context is important to study. This survey had its origin in the Theory of Planned Behavior, in accordance with the research instruments Opioid Overdose Knowledge Scale (OOKS), Opioid Overdose Attitude Scale (OOAS) and Naloxone-Related Risk Compensation Beliefs (NaRRC-B). This quantitative study had the purpose to measure and create knowledge about Swedish police officers' attitudes towards introducing and administering naloxone in police work, as well as their general knowledge regarding the antidote. The participants agreed that Swedish police officers should be equipped with naloxone to be able to save more lives (mean value = 3,9). The demonstrated benefits significantly outweigh the disadvantages of a possible implementation of naloxone within the Swedish police. Hence, it is essential that the Swedish Police Authority further investigates whether the use of naloxone can be a new working method to save more lives.
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Development and Testing of a Near-Infrared Spectroscopy Opioid Overdose Detection DeviceMichael D Maclean (8795939) 12 October 2021 (has links)
Opioid overdose is a growing epidemic plaguing the United States. Overdose related death
has risen from 16,849 in 1999 to 69,029 in 2018. Almost 7 out of 10 of these deaths were
due to opioids with 47% being caused by fentanyl or other synthetic opioids. There is a
strong need to reduce the amount of overdose-related deaths. Indirect methods should
be a first priority, and include counseling and care. For some individuals, this treatment
option is unavailable because the drug user may not have the desire or economic means
to pursue it. In this case, a more direct preventative approach is needed. This paper
presents a novel method of detecting poor peripheral oxygenation, a biomarker linked to
opioid overdose. A wristwatch near-infrared spectroscopy device (NIRS) was developed.
SPICE simulations were conducted to confirm proper operation of electrical systems. The
device was fabricated on a printed circuit board and mounted to a 3D printed enclosure.
Absorbance of green, red and infrared (IR) light were measured. Additionally, peripheral
capillary oxygen saturation (SpO2) modulation index and changes in concentration of
oxyhemoglobin and deoxyhemoglobin were calculated from raw data. A brachial occlusion test was performed to mimic the effects of opioid overdose on peripheral oxygenation.
A statistically significant difference (p < 0.05) was observed between pre-occlusion and
during-occlusion groups in two subjects for measurement of peak-to-peak values of green
raw data, red raw data, IR raw data, oxyhemoglobin concentration change, and deoxyhemoglobin concentration change. Peak-to-peak was observed as a consistent indicator of
poor peripheral oxygenation and could serve as a useful metric in the detection of opioid
overdose.
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Relevanz der Antidotagabe für das notärztliche präklinische Management von Vergiftungen unter Berücksichtigung der Bremer Liste - eine Analyse von 633 Fällen / Relevance of medically given antidotes in emergency prehospital management of intoxications considering the Bremer Liste - an analysis of 633 casesSchmidt, Melanie Julia 29 June 2017 (has links)
No description available.
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