Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options
Thompson R, Sabounchi N, Ali S, Heimer R, D’Onofrio G, Heckmann R. Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options. Harm Reduction Journal 2024, 21: 124. PMID: 38937759, PMCID: PMC11210010, DOI: 10.1186/s12954-024-00990-3.Peer-Reviewed Original ResearchMeSH KeywordsConnecticutDrug OverdoseHarm ReductionHealth PolicyHumansLaw EnforcementNaloxoneNarcotic AntagonistsOpiate OverdoseConceptsSamaritan lawsGood Samaritan lawsBystander behaviorGroup model buildingFear of legal consequencesKnowledge of protectionResponses to opioid overdosesCriminal liabilityDrug arrestsLegal consequencesLaw enforcementNaloxone useLawStakeholder-engaged processOpioid overdoseHealth care providersFatal opioid overdoseSustainable system changeOpioid-related outcomesBystander experiencesSamaritanCare providersHarm reductionPotential bystandersPolicy determination