information, choices & professional judgement: what’s right, wrong and can be done with...
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Information, choices & professional judgement: Information, choices & professional judgement: what’s right, wrong and can be done with what’s right, wrong and can be done with decision making in the health professions.decision making in the health professions.
Dr Carl Thompson, Department of Health Dr Carl Thompson, Department of Health Sciences, University of York, UKSciences, University of York, UK
Alberta Heritage Foundation for Medical Alberta Heritage Foundation for Medical Research Visiting ScholarResearch Visiting Scholar
What are we talking about?What are we talking about?
Not tasks and not activity Not tasks and not activity per seper se
The weighting of information The weighting of information (professional judgement) (professional judgement)
Using these weighed pro’s and con’s Using these weighed pro’s and con’s to make choices (clinical decisions)to make choices (clinical decisions)
Why worry about decision Why worry about decision making and judgement?making and judgement?
They contribute to They contribute to health gainhealth gain Mortality and morbidityMortality and morbidity Professional powerProfessional power Patient involvementPatient involvement
Decisions and Judgements are the Decisions and Judgements are the ‘black box’ in healthcare.‘black box’ in healthcare.
Boundaries and the ball park are Boundaries and the ball park are shiftingshifting
Cognitiveinputs
Organisational factors
Social factors
Patientvalues
As well as:
Resources
Research knowledge
Uncertainty
Policy
Time
Control over decision elements
The good newsThe good news
Given conditions of Given conditions of irreducible irreducible uncertainty most decisions are good uncertainty most decisions are good enoughenough
People apply the same rules to People apply the same rules to professional decision making as they professional decision making as they do in real life – this is a good thing!do in real life – this is a good thing!
The Bad NewsThe Bad News
Within Within unavoidable unavoidable events in events in healthcare are healthcare are avoidable avoidable eventsevents
Cognitive shortcuts lead to Cognitive shortcuts lead to systematic errors…systematic errors…
Simply relying on clinical experience Simply relying on clinical experience is not enoughis not enough
Does bad judgement matter?Does bad judgement matter? USAUSA 44-98,000 deaths – “To Err is 44-98,000 deaths – “To Err is
Human”Human” Australia Australia 250,000 adverse events250,000 adverse events
50,000 permanent disability50,000 permanent disability
10,000 deaths “Iatrogenic Injury in 10,000 deaths “Iatrogenic Injury in Australia”Australia”
DenmarkDenmark confirmed 9% of admissionsconfirmed 9% of admissions N.Z. N.Z. confirmed 10% of admissionsconfirmed 10% of admissions UKUK 11% of admissions11% of admissions
850,000 adverse events850,000 adverse events
deaths & permanent disabilitydeaths & permanent disability
Between 7 and 8.4 additional bed days per adverse eventBetween 7 and 8.4 additional bed days per adverse event
Why do they happen…Why do they happen…Was there a prior intention to act?
Was there intention in action?
Involuntary or no intentional action
Spontaneous or subsidiary action
Did the actions proceed as planned?
Unintentional action (slip or lapse)
Did the actions achieve their desired end? Intentional but
mistaken action
Successful action
NoNo
No
No
Yes
Yes
Yes
Yes
What can be doneWhat can be done
More sophisticated maps of the More sophisticated maps of the ‘black box’‘black box’
Develop what we know works Develop what we know works
Decision supportive technologiesDecision supportive technologies
Education and training in handling Education and training in handling uncertaintyuncertainty
ANALYSIS
INTUITIONQuality Of intuition
Quality Of Analysis
Least Precise/explicit
Definition of conceptsSpecification of relationshipsMeasurement of magnitudes
most Precise/explicit
MODE “7” 6 5 4 3 2 1KNOWLEDGE non- clinical expert descriptive case randomised scientificGENERATION cognitive judgement consensus (positive) control controlled experiment
“judgement” judgement model study trial
DECISION non-cognitive clinical expert decisionMAKING “decision” judgement consensus (normative)
decision model © dowie2002
Social judgement modellingSocial judgement modelling
Example: shockExample: shock
www.york.ac.uk/res/dec/shockwww.york.ac.uk/res/dec/shock 20 cue profiles in orthogonal design20 cue profiles in orthogonal design BP, Pulse, Resps, Urine Output, GCS.BP, Pulse, Resps, Urine Output, GCS. 3 levels (abnormal, normal, equivocal)3 levels (abnormal, normal, equivocal) Left side from regression of 100 cases in Left side from regression of 100 cases in
ITUITU 45 students pre-post intervention 45 students pre-post intervention
(lecture and web-based teaching (lecture and web-based teaching materials – targeted)materials – targeted)
Individual Subject Utilities
glasgow coma score
abnormalequivocalnormal
Util
ity20
10
0
-10
-20
31.00
32.00
33.00
34.00
35.00
36.00
37.00
38.00
39.00
40.00
42.00
43.00
Individual Subject Utilities
glasgow coma score
abnormalequivocalnormal
Util
ity20
10
0
-10
-20
23.00
25.00
27.00
29.00
30.00
31.00
32.00
33.00
35.00
40.00
42.00
43.00
Importance summary
Factor
glasgow coma score
urine output
oxygen sats
resps
pulse
systolic BP
Ave
rag
ed
Im
po
rta
nce
30
20
10
0
11
19
15
25
14
16
Using (refining and evaluating) Using (refining and evaluating) effective interventionseffective interventions
Multifaceted interventions (combine 2 or Multifaceted interventions (combine 2 or more of audit and feedback, reminders, more of audit and feedback, reminders, local consensus processes, marketing)local consensus processes, marketing)
Interactive educational meetings Interactive educational meetings
RemindersReminders
Educational outreach visitsEducational outreach visits
Decision supportDecision supportFunction Example
Alerting Highlighting out of range (either too high or too low laboratory values)
Reminding Reminding the clinician to schedule a cervical smear
Critiquing Rejecting an inappropriate order for a new drug
Interpreting Analysing an electrocardiogram
Predicting Calculating the risk of mortality from a severity of illness score
Diagnosing Listing a differential diagnosis for a patient with chest pain
Assisting Tailoring the antibiotic choices for patients with STDs
Suggesting Generating suggestions for adjusting a mechanical ventilator in an Intensive Therapy Unit.
Facilitating Providing a forum for interaction, model building and joint negotiation of treatment.
Better educationBetter education
Right knowledge for professional Right knowledge for professional activity?activity?
A Role for learning new ‘languages’:A Role for learning new ‘languages’: Collecting and interpreting evidence (statistics; Collecting and interpreting evidence (statistics;
information science)information science) Dealing with uncertainty (probability theory)Dealing with uncertainty (probability theory) Making decisions (economics and decision Making decisions (economics and decision
theory)theory)
‘‘Accept the fact of uncertainty and Accept the fact of uncertainty and learn to live with it. Since no magic learn to live with it. Since no magic will provide certainty, our plans must will provide certainty, our plans must be made without it’: Roberta be made without it’: Roberta Wohlstetter (1962)Wohlstetter (1962)
‘‘There is nothing more profitable for a There is nothing more profitable for a person than to take good counsel person than to take good counsel with oneself; for even if the event with oneself; for even if the event turns out contrary to one’s hopes, still turns out contrary to one’s hopes, still one’s decision was right’: Herodotusone’s decision was right’: Herodotus