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Changing our approach: Using an integrated, place-based methodology in community violence research
Rachel George1, Clysha Whitlow1, Ryan P Kilmer1
1The University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina, USA.
This study introduces a place-based methodology integrating multiple data sources to understand community violence. This approach offers comprehensive insights for targeted prevention strategies.
Area of Science:
- Public Health
- Urban Studies
- Sociology
Background:
- Community violence is a significant health disparity concentrated geographically.
- Place-based interventions are crucial for community violence prevention but lack integrated methodologies.
- Existing research often fails to capture the nuanced, place-based factors influencing violence.
Purpose of the Study:
- To describe and evaluate an integrated, place-based methodology for community violence research.
- To explore the benefits and challenges of combining diverse qualitative and quantitative data collection methods.
- To generate actionable insights for multilevel community violence prevention interventions.
Main Methods:
- Integration of app-based geospatial data, walking interviews, participant photography, and publicly available data.
- Application of Ecological Systems Theory to guide the analysis of place-based data.
- Comparative analysis of data from different methods to assess alignment and divergence.
Main Results:
- Walking interviews yielded rich data on neighborhood safety conditions and access disparities.
- Each method provided unique, complementary insights, illustrating the complexity of community violence.
- Publicly available data sometimes misaligned with participants' lived experiences regarding access to resources like green spaces.
Conclusions:
- An integrated, place-based methodology offers a more comprehensive understanding of community violence across ecological system levels.
- This approach can inform the development of targeted, multilevel interventions for violence prevention.
- Combining diverse data sources is essential for capturing the complexity of place-based health disparities.
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