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STINT: Strengths and Barriers in Translational Research at OHSU

STINT: Strengths and Barriers in Translational Research at OHSU. A Practical Example of Strengths Assessment Using Mixed Methods. RFA: Identify your strengths!. Strategic Planning: What is OCTRI’s Vision?. Roadmap: What are our strengths?.

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STINT: Strengths and Barriers in Translational Research at OHSU

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  1. STINT: Strengths and Barriers in Translational Research at OHSU A Practical Example of Strengths Assessment Using Mixed Methods

  2. RFA: Identify your strengths!

  3. Strategic Planning: What is OCTRI’s Vision?

  4. Roadmap: What are our strengths?

  5. I was going to send out another survey, then I remembered the response rate to the last one. Why do a mixed methods study?

  6. Three Methodological Components Integration of quantitative data from institutional data sources • Funding Data • IRB Data • Translational Research Classification • OCTRI Investigator Data

  7. Three Methodological Components Qualitative Interviews of OHSU Translational Researchers 51 researchers & administrators interviewed

  8. Three Methodological Components Snowball samplingand referral network map 141 investigators received referrals 247 total referrals made

  9. Interview Themes • Translational Research Definition • Strengths, Barriers • Current vs. Emerging • Scientific Disciplines • Research Processes • Resources • Organizational Culture • OCTRI • Referrals “If you had $100 million for translational research, how would you spend it?”

  10. Analysis of Institutional Data *not real data

  11. Interviews coded using Dedoose.

  12. Code excerpts were organized by topic and prevalence.

  13. No Story in the Original Network Graph

  14. Tell a story… Mixed Methods Analysis

  15. Story #1 Community & Policy Research Translational?

  16. Translation Most Often Defined as Bench to Bedside

  17. 2 community & policy researchers from our initial sample received no referrals from other translational researchers. All Referrals for Interviewees Referrals to Community Interviewees Circle size represents funding amount.

  18. Community & Policy Research is well-funded *not real data

  19. Story #2 Department “B” Connected?

  20. Department B Received Many Referrals Departments with 20% or more of total investigators receiving referrals

  21. Qualitative Data Shows Dept. B is a Strength

  22. Referrals to Dept. “B”

  23. Department B Had a High Rate of Internal Referrals 5 departments with highest percent of internal referrals

  24. The whole is greater than the sum of its parts.

  25. Lindsey Smith, MPP Research Assistant smithlin@ohsu.edu Adrienne Zell, PhD Evaluation Manager zell@ohsu.edu David Dilts, PhD Evaluation Director dilts@diltspartners.com

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