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

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Presentation on theme: "Designing Decision Aids to Help Patients Choose Treatment Options Lyndsey Franklin, Catherine Plaisant, Ben Shneiderman HCIL."— Presentation transcript:

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

2 A Story

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5 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 Price, Cameron, Butow 2007 Baseline (No Treatment) Drug A Effect

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

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

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

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

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

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 Hughes Risk App Exposed Model Parameters

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

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

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

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 Han et al. 2012 Animated recolor of figures every 2 seconds

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

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

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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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