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Changing our approach: Using an integrated, place-based methodology in community violence research.

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This study introduces a place-based methodology integrating multiple data sources to understand community violence. This approach offers comprehensive insights for targeted prevention strategies.

Keywords:
community violencehealth disparities researchplace‐based methodswalking interviews

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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.