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Designing Decision Aids to Help Patients Choose Treatment Options

Designing Decision Aids to Help Patients Choose Treatment Options. Lyndsey Franklin, Catherine Plaisant , Ben Shneiderman HCIL. A Story. A Story. A Story. A Story. NCI Protective Treatments. Susan G. Komen fact sheets. A Decision Aid Framework. Decision Type Timescale

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Designing Decision Aids to Help Patients Choose Treatment Options

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  1. Designing Decision Aids to Help Patients Choose Treatment Options Lyndsey Franklin, Catherine Plaisant, Ben Shneiderman HCIL

  2. A Story

  3. A Story

  4. A Story

  5. A Story NCI Protective Treatments Susan G. Komen fact sheets

  6. A Decision Aid Framework • Decision Type • Timescale • Measurement Types • Data Source • Personalization Level • Information Format

  7. Decision Type • Binary • Multi-Option • Combination • Continuous Management Baseline (No Treatment) Drug A Effect Price, Cameron, Butow 2007

  8. Decision Type • Binary • Multi-Option • Combination • Continuous Management Drug Main Effects Drug Side Effects Hawley et al. 2008

  9. Decision Type • Binary • Multi-Option • Combination • Continuous Management Treatment Choices Total Effect Of Treatment Choices Jones et al. 2011

  10. Decision Type • Binary • Multi-Option • Combination • Continuous Management Jones et al. 2011

  11. Timescale 5 year risk • Single Projected Point • Multiple Projected Points Zikmund-Fisher et al. 2008

  12. Timescale • Single Projected Point • Multiple Projected Points Main Time Reference Additional Time Reference National Cancer Institute Risk Assessment

  13. Measurement Types • Number of Side Effects • Side Effect Rates • Treatment Durations • Lifestyle Impact • Success Rates • Survival Rates • Mortality Rates • …

  14. Data Source • Summary of Literature • Model Based • Electronic Health Records Susan G. Komen Fact Sheets… With References

  15. Data Source • Summary of Literature • Model Based • Electronic Health Records Exposed Model Parameters Hughes Risk App

  16. Data Source Patient Self-Reported Records • Summary of Literature • Model Based • Electronic Health Records Patients Like Me

  17. Personalization Level • Generalized • Personalized Same Text For All Readers National Cancer Institute

  18. Personalization Level • Generalized • Personalized Patients Must Understand Personalization Options National Cancer Institute Risk Assessment

  19. Information Formats • Text • Graphics • Animation • Interactive National Cancer Institute

  20. Information Formats • Text • Graphics • Animation • Interactive Brown et al. 2011 Same Metric 4 Ways

  21. Information Formats • Text • Graphics • Animation • Interactive Animated recolor of figures every 2 seconds Han et al. 2012

  22. Information Formats • Text • Graphics • Animation • Interactive Clicking Drives Information Shown Ancker et al. 2010

  23. Designing a Decision Aid

  24. Designing a Decision Aid • Multi-Option (Decision Type) • Multi-Projected Points (Timescale) • Side effects, durations, patient preferences, success rates (Measurement Types) • Age and BRCA1 positive accounted for (Personalization Level) • Graphics with Interaction (Information Formats)

  25. Decision Aid Prototype

  26. Decision Aid Prototype

  27. Decision Aid Prototype

  28. Decision Aid Prototype

  29. Decision Aid Prototype

  30. Decision Aid Prototype

  31. Decision Aid Prototype

  32. Decision Aid Prototype

  33. Decision Aid Prototype

  34. Decision Aid Prototype

  35. Decision Aid Prototype

  36. Decision Aid Prototype

  37. Decision Aid Prototype 1

  38. Decision Aid Prototype 2

  39. Decision Aid Prototype 3

  40. Conclusion • Decision aids support patient understanding and choice between treatment options • Categorizing decision aids with our framework exposes design opportunities • Static, single measurement graphs do not support treatment comparisons • Interaction and animation highlight and reinforce treatment differences

  41. Thank You! Special Thanks to Dr. Seth Powsner. More Information lyndsey@cs.umd.edu www.cs.umd.edu/hcil/treatmentview This work is supported in part by Grant No. 10510592 for Patient-Centered Cognitive Support under the Strategic Health IT Advanced Research Projects Program (SHARP) from the Office of the National Coordinator for Health Information Technology.

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