2024
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 ResearchConceptsSamaritan 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
2022
Assessing the impact of the Good Samaritan Law in the state of Connecticut: a system dynamics approach
Sabounchi NS, Heckmann R, D’Onofrio G, Walker J, Heimer R. Assessing the impact of the Good Samaritan Law in the state of Connecticut: a system dynamics approach. Health Research Policy And Systems 2022, 20: 5. PMID: 34991591, PMCID: PMC8734429, DOI: 10.1186/s12961-021-00807-w.Peer-Reviewed Original ResearchConceptsOpioid use disorderOverdose deathsGood Samaritan lawsEmergency department visitsOpioid-related deathsPublic health interventionsBehavioral changesPublic health officialsED visitsDepartment visitsOpioid usersUse disordersHealth outcomesOpioid crisisHealth interventionsHealth officialsDeathOverdoseVisitsInterventionOutcomesState of ConnecticutMultiple strategies