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Data collection and analysis/interpretation

Learn key aspects of data collection and analysis in community health research, including instrument development, pilot testing, community input, staffing, reimbursement, analysis strategies, and case studies highlighting successful methodologies.

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Data collection and analysis/interpretation

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  1. Data collection and analysis/interpretation Ellen Goldstein MA, Kevin Grumbach MD, Roberto Vargas MPH, Mike Potter MD

  2. Instrument Development • Content • Pilot testing – as with any study • Community input • Feasibility • Fit into your setting/ community culture • Time commitment • Outcome variables

  3. Data Collection • Who • Staffing • Reimbursement • How • Type of data collection • Location • Your role • Use of appropriate technology

  4. Analysis and interpretation • Role for community partners • Strategies for including community insight

  5. Four Case Studies • Bayview Hunter’s Point Environmental Health and Assessment Task Force • Mission Teen Health Project • FLU-FOBT • Seroconversion Narratives for AIDS Prevention (SNAP)

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