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Patient Narratives in Decision Aids




                                    Diana Stilwell
                          Chief Production Officer
                                     March 2013
Overview

• Role of narratives in decision aids (DAs)
• Concerns about their use
• Evidence and relevance to IMDF approach
• How our approach addresses some common
  concerns
Narratives play several roles in DAs

• Engage
• Inform
• Model behavior
 • Get informed
 • Weigh trade-offs
 • Clarify values and goals
• Affective forecasting (alternative futures)
Concerns about narratives in DAs

• Too specific: focus on subset of what
  mattered to featured patients; premature
  closure of options
• Too distracting: disregard facts and data
• Too vivid: emotion is more memorable; rare
  outcomes seem more likely
Review of evidence

• Recent systematic reviews
• Characteristics of study settings, populations,
  aims, interventions, etc.
• Compare evidence to our approach
• General trends
Settings and populations

    Published research*                          IMDF approach
 • Experimental/hypothetical                • Focus groups of real
    • College students (6/20)                 patients
    • General population (10/20)            • Real-world clinical practice
 • Current patients (4/20)




*Winterbottom (2008), Bekker/IPDAS (2012)
Narrative format

   Published research                 IMDF approach
• Print (10/19)                  • Video of real patients
  • Fiction (8/8 reported)       • “Non-fiction”; in patients’
  • Non-fiction (0/8 reported)     own words
• Video (8/19)
  • Actors (6/8)
  • Patients (2/8)
• In-vivo (1/19)
Types of decisions

     Published research              IMDF approach
•   Cancer screening (7/20)     • Preference-sensitive
•   Hypothetical (5/20)         • Patient goals and concerns
•   “Real life” (5/20)            major factor
•   Often a ‘dominant’ option
•   Not related to healthcare
    (3/20)
Purpose of intervention

   Published research                   IMDF approach
• Increase knowledge                • Increase knowledge
• Change attitudes                  • Improve accuracy of risk
• Influence decisions about           perceptions & expectations
  screening or preventive           • Improve value concordance
  behaviors (equally distributed)   • Model SDM process
Narrative content

   Published research                          IMDF approach
• Manipulated to include                 • Patients’ voices and
  specific content (9/18 reported):        experiences
  • Highlight pros of “preferred”
    option or risks of                   • Aim for balance
    “undesirable” option (e.g., Cox &    • Careful selection, not
    Cox, 2001)
  • Align proportion of good/bad
                                           scripting
    narratives with outcome              • All reasonable rationales —
    probabilities (e.g., Ubel, et al.,     hear from those who chose
    2011)
• Fear appeals (e.g., Morman,              “the road less traveled”
  2000)
Key outcomes

• Framing effects (gain/loss)
• Many report little influence on decisions—but
  in some cases, narratives did appear to affect
  decisions or intentions
 • Screening interest/intent
 • Risk perceptions
 • End of life care preferences
Key findings

• Narratives are powerful
• Mechanisms are not well understood
• Not all evidence is relevant to our work
Narrative is everywhere

“…(Reality TV) promote(s)
 unrealistic expectations,
 and to get patients to
 have realistic
 expectations is one of the
 hardest things we do in
 our practice.”



Peter B. Fodor, MD, President, American Society of Plastic Surgeons
Usual care


                                            “When (the surgeon)
                                            told me that if it were
                                            his arm, he’d want the
                                            surgery done, I signed
                                            the consent form.”




Health Affairs, 31, no.8 (2012):1895-1899
Facts and statistics?




http://www.mammographysaveslives.org/Facts.aspx
American College of Radiology
Implications for our work

• Be aware of the potential impact
• Use approaches that mitigate risk of bias
Carefully “curate” narratives

• Clinically & demographically representative
• Common preferences, goals, values
• Less common but reasonable perspectives
• Acknowledge emotional component
• Model how others weigh trade-offs
Blend narratives and facts


• Factual information
  complements narrative
   • Data displays
   • Comparison tables
   • May mitigate bias
• Attend to and balance
  framing effects
Ask patients about balance




Data collected from patients at Dartmouth-Hitchcock Medical Center, 2005-2009
Wrap up

• Essential ingredient? No
• Keep learning how best to use them
 • Systematic curating—attention to content,
   purpose, framing
 • Evaluate
 • Assess impact of switching from DVD to
   web/mobile
Thank you!




dstilwell@imdfoundation.org

                              21

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Patient Narratives in Decision Aids

  • 1. Patient Narratives in Decision Aids Diana Stilwell Chief Production Officer March 2013
  • 2. Overview • Role of narratives in decision aids (DAs) • Concerns about their use • Evidence and relevance to IMDF approach • How our approach addresses some common concerns
  • 3. Narratives play several roles in DAs • Engage • Inform • Model behavior • Get informed • Weigh trade-offs • Clarify values and goals • Affective forecasting (alternative futures)
  • 4. Concerns about narratives in DAs • Too specific: focus on subset of what mattered to featured patients; premature closure of options • Too distracting: disregard facts and data • Too vivid: emotion is more memorable; rare outcomes seem more likely
  • 5. Review of evidence • Recent systematic reviews • Characteristics of study settings, populations, aims, interventions, etc. • Compare evidence to our approach • General trends
  • 6. Settings and populations Published research* IMDF approach • Experimental/hypothetical • Focus groups of real • College students (6/20) patients • General population (10/20) • Real-world clinical practice • Current patients (4/20) *Winterbottom (2008), Bekker/IPDAS (2012)
  • 7. Narrative format Published research IMDF approach • Print (10/19) • Video of real patients • Fiction (8/8 reported) • “Non-fiction”; in patients’ • Non-fiction (0/8 reported) own words • Video (8/19) • Actors (6/8) • Patients (2/8) • In-vivo (1/19)
  • 8. Types of decisions Published research IMDF approach • Cancer screening (7/20) • Preference-sensitive • Hypothetical (5/20) • Patient goals and concerns • “Real life” (5/20) major factor • Often a ‘dominant’ option • Not related to healthcare (3/20)
  • 9. Purpose of intervention Published research IMDF approach • Increase knowledge • Increase knowledge • Change attitudes • Improve accuracy of risk • Influence decisions about perceptions & expectations screening or preventive • Improve value concordance behaviors (equally distributed) • Model SDM process
  • 10. Narrative content Published research IMDF approach • Manipulated to include • Patients’ voices and specific content (9/18 reported): experiences • Highlight pros of “preferred” option or risks of • Aim for balance “undesirable” option (e.g., Cox & • Careful selection, not Cox, 2001) • Align proportion of good/bad scripting narratives with outcome • All reasonable rationales — probabilities (e.g., Ubel, et al., hear from those who chose 2011) • Fear appeals (e.g., Morman, “the road less traveled” 2000)
  • 11. Key outcomes • Framing effects (gain/loss) • Many report little influence on decisions—but in some cases, narratives did appear to affect decisions or intentions • Screening interest/intent • Risk perceptions • End of life care preferences
  • 12. Key findings • Narratives are powerful • Mechanisms are not well understood • Not all evidence is relevant to our work
  • 13. Narrative is everywhere “…(Reality TV) promote(s) unrealistic expectations, and to get patients to have realistic expectations is one of the hardest things we do in our practice.” Peter B. Fodor, MD, President, American Society of Plastic Surgeons
  • 14. Usual care “When (the surgeon) told me that if it were his arm, he’d want the surgery done, I signed the consent form.” Health Affairs, 31, no.8 (2012):1895-1899
  • 16. Implications for our work • Be aware of the potential impact • Use approaches that mitigate risk of bias
  • 17. Carefully “curate” narratives • Clinically & demographically representative • Common preferences, goals, values • Less common but reasonable perspectives • Acknowledge emotional component • Model how others weigh trade-offs
  • 18. Blend narratives and facts • Factual information complements narrative • Data displays • Comparison tables • May mitigate bias • Attend to and balance framing effects
  • 19. Ask patients about balance Data collected from patients at Dartmouth-Hitchcock Medical Center, 2005-2009
  • 20. Wrap up • Essential ingredient? No • Keep learning how best to use them • Systematic curating—attention to content, purpose, framing • Evaluate • Assess impact of switching from DVD to web/mobile