Details

Autor(en) / Beteiligte

• Sabounchi, Nasim S.
• Lounsbury, David W.
• Iftikhar, Pulwasha
• Lutete, Priscila
• Trajkoska, Biljana
• Estrada, Weanne Myrrh
• El-Bassel, Nabila
• Rapkin, Bruce
• Gilbert, Louisa
• Hunt, Timothy
• Goddard-Eckrich, Dawn A.
• Feaster, Daniel J.
• Huang, Terry T.-K.

Titel

Qualitative System Dynamics Modeling to Support Community Planning in Opioid Overdose Prevention

Ist Teil von

• Research on social work practice, 2023-03, Vol.33 (3), p.282-295

Ort / Verlag

Los Angeles, CA: SAGE Publications

Erscheinungsjahr

2023

Quelle

Applied Social Sciences Index & Abstracts (ASSIA)

Beschreibungen/Notizen

• Purpose: We aimed to help community stakeholders develop a shared understanding of the opioid crisis through qualitative system dynamics (SD) modeling to inform local strategies for prevention and treatment. Methods: As part of the HEALing Communities Study-New York State, we used secondary qualitative data from community stakeholder interviews and coalition meeting notes to develop qualitative SD models that elucidate the interdependencies and feedback structures underlying the opioid epidemic in each community. Results: The synthesized model revealed multiple balancing and reinforcing feedback loops that influenced the adoption and reach of evidence-based practices to reduce opioid overdose and fatality. Conclusion: SD modeling is a novel approach to helping community stakeholders to see the inter-connectedness of actors, factors and sectors and the need for multiple mutually reinforcing strategies to avert opioid overdose and fatality. Social workers could play a key role in linking actions across sectors in such a complex system.