using evidence & experience tousing evidence & experience ......2011; weston, 2001) it ti...
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Using Evidence & Experience toUsing Evidence & Experience to Inform Patients’ Involvement in Health Decisions
Dawn Stacey RN, PhDAssociate Professor
Director, Ottawa Patient Decision Aids ,Research Group
‘Festival of Evidence & Experience’ June 6, 2012
OutlineOutline• Shared decision makingg
• Evidence to inform decision making
– Ways to communicate evidence
Effect on decisions– Effect on decisions
• Experience to inform decision making
– Patients’ own experiences
– Experiences of others
• The intersection of evidence & experiences• The intersection of evidence & experiences
Shared Decision Makingg
A process by which a
healthcare choice is
made between the
patient and one or more Th f ti t patient and one or more
health professionalsThe crux of patient
centred carece t ed ca e
Facilitated by:Facilitated by:o Patient decision aids
D i i hio Decision coaching
(Legare et al., 2010; Makoul & ( g , ;Clayman 2006; Stacey et al. 2011; Weston, 2001)
I t ti M d l f SDMIntegrative Model of SDMEssential Elements Ideal ElementsEssential Elements
� Inform: problem, options, benefits, risks, costs
Ideal Elements
� Unbiased information and evidence
, ,� Check understanding� Clarify: patient’s values,
and evidence (probabilities)
y p ,preferences, ability, self confidence
� Role definition (desire for involvement)
� Clinician’s knowledge/ recommendationsM k / li itl d f
� Mutual agreement
� Make/ explicitly defer decision
� Arrange follow up� Arrange follow-up
(Makoul & Clayman 2006)
Patient Decision Aids dj t t lt tiPatient Decision Aids adjuncts to consultation
Inform• facts, probabilities
Clarify values•Experiences ask what matters most•Experiences, ask what matters most
Support•Guide in steps, worksheetsp
F t f d i i idFormats for decision aids
1. Print• Passive or interactive• Passive or interactive
2. Linear DVD/Video• Passive• Passive
3. Online/computer-based• Passive or interactivePassive or interactive
• Medical (n=25) Topics of Decision Aids– 10 HRT– 3 atrial fib anti-coag– 1 hypertension
2 di l S i ( 32)
(N=86)
– 2 cardiovascular– 1 osteoporosis– 1 chemotherapy
1 MS
• Screening (n=32)– 12 PSA– 8 BRCA1/2 genetic
– 1 MS– 2 diabetes– 1 schizophrenia– 1 depression
– 5 colon cancer– 1 colon ca genetic– 5 prenatal– 1 depression
– 1 breast ca prevention– 1 osteoarthritis knee– 1 natural health products
– 1 mammography
• Obstetrics (n=4)1 natural health products
• Surgical (n=20)– 4 mastectomy +1 reconstruction
Obstetrics (n 4)– 2 VBAC– 1 termination
1 breech4 mastectomy +1 reconstruction– 2 prophylactic BRCA1/2– 3 prostatectomy– 1 orchiectomy for prostate ca
– 1 breech
• Vaccine (n=2)f
(Stacey et al., 2011)1 orchiectomy for prostate ca
– 3 hysterectomy– 2 dental– 1 circumcision
– 1 infant– 1 Hep B
• Other (n=2)
2011)
– 1 back– 2 coronary revascularization
( )– 1 autologous blood donation– 1 CF referral for transplant
Patient decision aids (86 trials)
Improve decision Patients 39% less passive in decisionsquality
14% higher
passive in decisions
Reduce over-usegknowledge
74% more realistic
Reduce over use-20% surgery-15% PSA 74% more realistic
expectations-15% PSA -27% HRT
25% better match of values & choices
Potential to reduce under-useunder use
(Stacey et al., 2011 Cochrane Review Patient Decision Aids)( y , )
Of 5 studies, using 3rd party g p yobserver measures…2 had an impact
Study Intervention 1 Intervention 2 Standard 95% CI
2 had an impact
Effect Size
Stacey 2006
Multifaceted intervention
Usual Care 2.11 (1.30; 2 90)2006 intervention
Patient-mediated intervention,
educational meeting,
2.90)
gaudit and feedback
Nannenga 2009
Single intervention
Single intervention
1.06 (0.62; 1.50)2009 intervention
Patient-mediated intervention:
Statin Choice decision
interventionPatient-mediated
intervention: Standard Mayo
1.50)
aid patient education pamphlet
(Legare Ratte Stacey et al 2010 Cochrane review)(Legare, Ratte, Stacey, et al. 2010, Cochrane review)
Interventions to increase SDM:Interventions to increase SDM:a patient perspectivep p p
Of 21 RCTs, 3 had positive effect:
Bieber 2006 Krones 2008 Loh 2007Bieber 2006 Krones 2008 Loh 2007
Compared to Pt mediated l
Control Usual carealone
Educational meeting
X X Xmeeting
Pt mediated intervention
X X X
Audit /feedback X
74% 227% P=0 003
(Legare, Turcotte, Stacey, Ratte, Kryworuchko, Graham 2012)
74% 227% P=0.003
( g , , y, , y , )
Decision coachingDecision coaching
Develops patients’ skills in deliberating about options,
i f lt tipreparing for a consultation, and implementing change.
Trained facilitators are supportive but non-directivesupportive but non directive
Delivery: face to face, groups, telephone, email, internet
(O’Connor et al., 2008; Stacey et al., 2008; 2012)
(10 trials)
- Compared to usual care, decision coaching improves knowledge.
-Improvement in knowledge similar when Improvement in knowledge similar when coaching compared to decision aids
O f h i -Outcomes for other comparisons are more variable – some trials show positive effects
d th t diff(Stacey et al., 2012, Med Dec Making)
and others report no difference
22 Reviews: Clinical Decision Making Interventions0 5 10 15 20 Examples of interventions:
- Patient decision aidsKnowledge
Patient decision aids
- Training clinicians in communication skillsExperience
UseHealthService
communication skills
- Question prompts / coaching to develop patients’ skills in
Behaviour andHealth Status
PositiveMixedNo Effect
to develop patients skills in preparing for consults, deliberating about options, implementing change
OutlineOutline• Shared decision making
• Evidence to inform decision making
– Ways to communicate evidence
Effect on decisions– Effect on decisions
• Experience to inform decision making
– Patients’ own experiences
f h– Experiences of others
• The intersection of evidence & experienceso o d & p
“Without numbers consumers are left flying blind”Without numbers, consumers are left flying blind (Schwartz & Woloshin, Welch, 2009; p.184)
IPDAS presenting probabilitiesThe patient decision aid presents probabilities …
IPDAS presenting probabilities
1. …using event rates…
2. …using the same denominator
3. …over the same period of time
4. …with uncertainty4. …with uncertainty
5. …using visual diagrams (e.g. faces, bar charts)
6 using the same scales6. …using the same scales
7. …with more than 1 way of viewing probabilities (e.g. words, numbers, diagrams).
8. …based on patient’s own situation (e.g. specific to their age or severity of their disease)
9 using both positive and negative frames9. …using both positive and negative frames
(IPDAS - Elwyn et al (2006) in BMJ 333(7565):417)(IPDAS Elwyn et al., (2006) in BMJ 333(7565):417)(Presenting Probabilities – Trevena et al. 2006 in J Eval Clin Practice)
Patient decision aids (86 trials)
Improve decision Patients 39% less passive in decisionsquality
14% higher
passive in decisions
Reduce over-usegknowledge
74% more realistic
Reduce over use-20% surgery-15% PSA 74% more realistic
expectations-15% PSA -27% HRT
25% better match of values & choices
Potential to reduce under-useunder use
(Stacey et al., 2011 Cochrane Review Patient Decision Aids)( y , )
Accurate Risk PerceptionsAccurate Risk Perceptions
2011- 14 RCTs showed RR 1.74 [1.46, 2.08) 2009 = RR 1.7 [1.3, 2.2]
OutlineOutline• Shared decision making
• Evidence to inform decision making
W t i t id– Ways to communicate evidence
– Effect on decisions
• Experience to inform decision making
– Patients’ own experiences
f h– Experiences of others
• The intersection of evidence & experienceso o d & p
NICE Clinical Practice Guideline 2012
Patient experience in adult NHS Patient experience in adult NHS services: improving the experience…
• Elements of high quality care that matter to patients– Their experience– Effectiveness of interventions– Safe delivery of healthcare
• Experience is complex and multi-factoral– Service factors: access, quality of information, shared
decision making skills of health professionalsdecision making skills of health professionals– Individual factors: previous experience
• Uses client centred care to define experience• Uses client-centred care to define experience
• UK aiming to include patient experience as measureable outcome – but no robust measure (satisfaction inadequate)outcome – but no robust measure (satisfaction inadequate)
P ttin p ti nts fi st Putting patients first BMJ editorial
Clarifying & Communicating Clarifying & Communicating Values
Patients’ decision-focused ‘values’
“Detailed insight into the patient’s attitudes about the patient’s attitudes about the relative desirability of each of h bl b f d hthe possible benefits and harms
- or attributes - inherent in each option”
(Llewellyn Thomas 2009 chpt 18)(Llewellyn-Thomas, 2009, chpt 18)
Values Clarification MethodsValues Clarification Methods(Llewellyn-Thomas 2009 chpt 18)
Non-interactive / implicit Interactive / explicit
Patient Decision Utility-based Non-utility-based
testimonials aids that describe options
Classic decision
Explicit social matchingConjoint
analysisoptions decision analysis Leaning
scale
analysis
scale
Balance t h i
Threshold techniques
TTO techniques
Analytic
- TTO
Analytic hierarchy
IPDAS Cl if i V lIPDAS Clarifying Values(clarify what matters most)( y )
The patient decision aid…
1 describes the procedures and outcomes to help 1. …describes the procedures and outcomes to help patients imagine what it is like to experience their physical, emotional, and social effects.
2. …asks patients to consider which positive and negative features matter mostnegative features matter most
(Elwyn et al (2006) in BMJ 333(7565):417)(Elwyn et al., (2006) in BMJ 333(7565):417)
Patient Decision Aids dj t t liPatient Decision Aids adjuncts to counseling
Inform• facts, probabilities
Clarify values•Experiences ask what matters most•Experiences, ask what matters most
Support•Guide in steps, worksheetsp
Patient decision aids (86 trials)(86 trials)
Improve decision Patients 39% less passive in decisionsquality
14% higher
passive in decisions
Reduce over-usegknowledge
74% more realistic
Reduce over use-20% surgery-15% PSA 74% more realistic
expectations-15% PSA -27% HRT
25% better match of values & choices
Potential to reduce under-useunder use
(Stacey et al., 2011 Cochrane Review Patient Decision Aids)( y , )
OutlineOutline• Shared decision making
• Evidence to inform decision making
W t i t id– Ways to communicate evidence
– Effect on decisions
• Experience to inform decision making
– Patients’ own experiences
f h– Experiences of others
• The intersection of evidence & experienceso o d & p
U ing Pe on l Sto ie /N ti eUsing Personal Stories/Narratives
• Narratives provide– others’ experiences relevant to the decision
• Narratives from a range of ‘others’ - carers, family, f i lprofessionals
IPDAS Background Update Group – in press for 2012IPDAS Background Update Group in press for 2012Bekker, Winterbottom, J Fowler, Feldman-Stewart, Butow, Shaffer, Jibaja-Weiss, Dillard
Personal stories during the gconsultation
• “Doctor what do you think I should do?”
• I don’t know it depends on what is most important to youy– If you were like my mother, she is… and she would
say…– If you were like my wife, she is … and she would
say…OOr
– Some women…Oth – Other women…
https://www.healthcrossroads.com/example/crossroad.aspx?contentGUID=fc326615-5b29-47f1-87c3-9a3e2d946919
IPDAS Patient Stories
The patient decision aidThe patient decision aid……provides stories that represent a range of experiences
(positive and negative)(positive and negative)
…describes that the patients gave informed consent to include their storiestheir stories
(Elwyn et al (2006) in BMJ 333(7565):417)(Elwyn et al., (2006) in BMJ 333(7565):417)
Personal stories in publicly Personal stories in publicly available patient decision aidspKhangura, Bennett, Stacey, O’Connor 2008
Using 2007 Cochrane A to Z Inventory: t tifi d b d l d d l l dstratified by developer and randomly sampled
OutlineOutline• Shared decision making
• Evidence to inform decision making
W t i t id– Ways to communicate evidence
– Effect on decisions
• Experience to inform decision making
– Patients’ own experiences
– Experiences of others’Experiences of others
• The intersection of evidence & experiences
Evidence-based clinical decisionsEvidence-based clinical decisions(Guyatt, Haynes, DiCenso from McMaster University)
Clinical state settingClinical state, setting, & circumstances Patient preferences
& actions
Healthcare ProfessionalsProfessionals
Research evidence Healthcare resources
47
S mm & q e tionSummary & questions• Communicating probabilities is important BUT with what • Communicating probabilities is important BUT with what
evidence?– Systematic reviewsy– Local hospital data
• Patients own life experiences influence their preferences Patients own life experiences influence their preferences BUT how are they acknowledged in decision making?
• Patients want to hear of others’ experiences BUT how • Patients want to hear of others experiences BUT how do we synthesize (qualitative systematic reviews?) and communicate experiences while reducing potential bias?
• Interventions (e.g. patient decision aids, decision coaching, shared decision making) incorporate evidence and experience BUT how do we ensure they are not biasing the patient?