Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options

Abstract Background Good Samaritan Laws are a harm reduction policy intended to facilitate a reduction in fatal opioid overdoses by enabling bystanders, first responders, and health care providers to assist individuals experiencing an overdose without facing civil or criminal liability. However, Goo...

Полное описание

Библиографические подробности

Главные авторы:	Rachel L. Thompson, Nasim S. Sabounchi, Syed Shayan Ali, Robert Heimer, Gail D’Onofrio, Rebekah Heckmann
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2024-06-01
Серии:	Harm Reduction Journal
Предметы:	Opioids Opioid use disorder Overdose Harm reduction System dynamics modeling Systems science
Online-ссылка:	https://doi.org/10.1186/s12954-024-00990-3
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