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How can patients be enabled to participate in decisions concerning their health? How can decisions be improved, concordent with patient values? A new patient decision aid will capitalise on network meta-analysis and single subject research designs to foster better decisions.
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A patient decision aid for bipolar disorder
Full title: MCDA-Based
Support in Clinical Decision-Making Throughout the
Patient Journey: The Use of ALBA in
Bipolar Disorder
Øystein Eiring, MD, specialist in psychiatry, cand. mag, PhDc. Editor Norwegian Electronic Library of Health/Mental Health
Head of Department of Knowledge Services, Innlandet Hospital Trust
My affiliation
The community developing
MCDA-based, Annalisa patient
decision aids
My affiliation
04/12/2023
4
The Norwegian Electronic Health
Library
04/12/2023
5
• Free access• for clinicians and
patients • nation-wide
GuidelinesJournals
DatabasesTextbooksNylenna M, Eiring Ø, Strand G, Røttingen JA.
Wiring a nation: Putting knowledge into action. Lancet 2010; 375: 1048–51
My affiliation
The University of Oslo (enhanced)
Menu
Menu
Context
Three problems (and solutions)
Summary
Patient decision aids
• Tools for personalised decisions
• Many personalisation technologies
• Very limited use of technologies
Eiring Ø, Slaughter L. An Assessment of the Potential for Personalisation in Patient Decision Aids. Lecture Notes of The Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Volume 91, 2012, pp 51 - 57
Bipolar disorder
• Singapore: 1,2 %
• Cross-national 0.3 – 1.5%
Chong SA, Abdin E, Vaingankar JA, Heng D, Sherbourne C, Yap M, Lim YW, Wong HB, Ghosh-Dastidar B, Kwok KW, Subramaniam M. A population-based survey of mental disorders in Singapore. Ann Acad Med Singapore 2012 Feb;41(2):49-18
Bipolar disorder I
• Chronic
• Suicide risk
• Relapses
• ”Never well”
• Impairment
• Medication mainstay in treatment
Outpatient psychiatry in Hamar, Norway
A challenging encounter
Why can´t I stop my medication?
It really bothers me. I would be much better
without!
With permission. iStockphoto. The person depicted has no relation to the subject and the picture is for illustrative purposes only.
You must continue taking it!If not, you will certainly have a
relapse again.You don´t remember how bad it
was, but I do
(Not shared decision-making)
New attempt!(shared decision-making)
Why can´t I stop my medication?
It really bothers me. I would be much better
without!
Ok, lets try to find the best decision together
What are the benefits and harms you care about?
And how likely are they, with and without medication?
Three patient roles
Doctor knows best
Consumer
Shared decision-making
Stubblefield C, Mutha S. Provider-patient roles in chronic disease management. J Allied Health. 2002 Summer;31(2):87-92.
The goal
• Find - together
• the best decision
• for you
And to achieve the goal…
• Find the:
• options
• attributes
• probabilities
• preferences
In example, hypothetical:
Options Suicide risk
Relapse risk
Nausea risk
Medicine A
2 % 25 % 10 %
Medicine B
1 % 35 % 1 %
Four sources of knowledge
Electronic medical record
All the research in the world
Problem 1
Knowledge not tailored to decisions
• All options not directly comparable
• Not personalised
• Not always reliable
• Not always readable
• Tells nothing in itself, without preferences
All the research in the world
A possible solution: Network meta-analysis
Top of the 6S model
High quality single studies
Single studies
Systematic reviews
Network m.a.
Summary
InEMR
ReadableRelevantReliable
Dicenso A, Bayley L, Haynes RB. Accessing pre-appraised evidence: fine-tuning the 5S model into a 6S model. Evid Based Nurs. 2009 Oct;12(4):99-101
A network of studies
Vergel YB, Dunn G, Palmer S, Beynon s, Woolacott N, Soares-Weiser K, Geddes J, Gilbody S. A Simultaneous Comparison of Multiple Treatments for Bipolar I: An Application of Bayesian Statistical Methods. Poster
Direct and indirect comparisons
Vergel YB, Dunn G, Palmer S, Beynon s, Woolacott N, Soares-Weiser K, Geddes J, Gilbody S. A Simultaneous Comparison of Multiple Treatments for Bipolar I: An Application of Bayesian Statistical Methods. Poster
Part 1 of the work
• Complete two network meta-analyses
Problem 2
Knowledge not operational
• Information about the effects of medicines taken is
• not systematic
• not quantified
• (Often lacking)
• not structured
• not available to the patient
Electronic medical record
A possible solution: An Annalisa decision aid
Enabling continuous registration of attributes
• Example: depressive symptoms
• Patient registers level of depression weekly
• Feeds into the decision aid
• Assessment of the effect of the medication
• continuously and in retrospect
Will visualise changes over time
Part 2 of the work
• Developing the Annalisa decision aid
Problem 3
How to evaluate a personalised intervention?
The problem with group designs
• Take considerable time and resources
• No improvement of intervention on-the-fly
• Do not establish causality in the individual
Kazdin AE. Single-Case Research Designs: Methods for Clinical and Applied Settings, 2nd Edition. New York, Oxford. 2009.
A possible solution: single-subject design
Single subject designs
• Extensive use within behavioural sciences
• Internal validity maintained
• Mimics and feasible within clinical practice
• Not the same as case studies!
Benefits• Assesses effect in the individual patient
• Identifies causal relationships
• External validity comparable to group designs
• Determines efficacy in novel interventions
• Helps optimalise the intervention
• Design and intervention can be adjusted on the fly
ABAB design
Non-concurrent, multiple baseline design
Combined
3 novelties in this work
Novelty 1:
Complete NMAs and feed the values into the desicion aid
Novelty 2:
• Continuous registration of attributes important to the patient
• in a decision aid
engineered for
distributed decisions
Novelty 3:
• Utilising a single subject research design…
• to evaluate a patient decision aid
Flexible yet rigorous
A personalisable:
• decision aid
• assessment tool
• study design
Thank you