designing decision aids to help patients choose treatment options lyndsey franklin, catherine...
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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• Measurement Types• Data Source• Personalization Level• Information Format
Decision Type
• Binary• Multi-Option• Combination• Continuous
Management
Price, Cameron, Butow 2007
Baseline (No Treatment)
Drug A Effect
Decision Type
• Binary• Multi-Option• Combination• Continuous
Management
Drug MainEffects
Hawley et al. 2008
Drug SideEffects
Decision Type
• Binary• Multi-Option• Combination• Continuous
Management
Jones et al. 2011
Treatment Choices
Total EffectOfTreatmentChoices
Decision Type
• Binary• Multi-Option• Combination• Continuous
Management
Jones et al. 2011
Timescale
• Single Projected Point• Multiple Projected
Points
Zikmund-Fisher et al. 2008
5 year risk
Timescale
• Single Projected Point• Multiple Projected
Points
National Cancer Institute Risk Assessment
Main TimeReference
AdditionalTime Reference
Measurement Types
• Number of Side Effects• Side Effect Rates• Treatment Durations• Lifestyle Impact• Success Rates• Survival Rates• Mortality Rates• …
Data Source
• Summary of Literature• Model Based• Electronic Health
Records
Susan G. Komen Fact Sheets…With References
Data Source
• Summary of Literature• Model Based• Electronic Health
Records
Hughes Risk App
Exposed ModelParameters
Data Source
• Summary of Literature• Model Based• Electronic Health
Records
Patients Like Me
Patient Self-Reported Records
Personalization Level
• Generalized• Personalized
National Cancer Institute
Same TextFor AllReaders
Personalization Level
• Generalized• Personalized
National Cancer Institute Risk Assessment
Patients MustUnderstandPersonalizationOptions
Information Formats
• Text• Graphics• Animation• Interactive
National Cancer Institute
Information Formats
• Text• Graphics• Animation• Interactive
Brown et al. 2011Same Metric4 Ways
Information Formats
• Text• Graphics• Animation• Interactive
Han et al. 2012
Animated recolor offigures every 2 seconds
Information Formats
• Text• Graphics• Animation• Interactive
Ancker et al. 2010
Clicking DrivesInformation Shown
DESIGNING A DECISION AID
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)
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
Decision Aid Prototype
1
Decision Aid Prototype
2
Decision Aid Prototype
3
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
Thank You!
Special Thanks to Dr. Seth Powsner.
More Information [email protected]
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.