Block 13 Flashcards
Evidence based decision is based on…
Clinical expertise
Research
Patient preference
Available resources
What is decision analysis?
Decision analysis is a systematic, explicit, quantitative way of make decisions in health care that can lead to both enhanced communication about clinical controversies and better decisions
Normative decision making
What we should do
Decriptive decision making
What we are doing
Prescriptive decision making
How we can improve
Decision analysis is based on
Based on a normative theory of decision making: subjective expected utility theory (SEUT)
Normative =
Based on social norms, shared interpretations/understanding
Subjective =
Subject to interpretation
Expected =
Future events
Utility =
desirability or value attaches to a decision outcome
Evidence in decision trees come from
- Probabilities
2. Utility or cost associated
Info in decision tree should come from
Good quality research/best available evidence
5 stages of decision analysis:
- Structure into decision tree
- Assign probability
- Assign utility
- Calculate value
- Sensitivity analysis
Square node =
Decision node, choice between actions
Circle node =
Chance node/uncertainty or potential outcome
Each branch is decision tree must =
100%
1
Ways to assess utility
Utility measures
QALYs
VAS
Name a utility measure
EQ-5D
EQ-5D
People with a particular health state fill in questionnaire
5 domains of EQ-5D:
- Mobility
- Independence
- ADLS
- Pain, discomfot
- Worried/sad/happy
VAS =
Visual analogue scale
QALY =
Quality adjusted life year
Health states can be measured against what?
QALYs
Value of each branch =
utility x probability
In a decision tree sensitivity analysis, a decision can be:
- Preference sensitive
2. Probability sensitive
Benefits of DA
- Makes all assumptions in a decision explicit
- Allows examination of the process of making a decision
- Integrates research evidence into the decision process
- Gain insight during process
- Can be used for: individual, population level, cost-effectiveness analysis
Limitations of probability estimates in DA
- Required data dets of estimate probability may not exist
- Subjective probability estimates are subject to bias
Limitations of utility measures in DA
- Individuals may be asked to rate a state of health they haven’t experienced
- Different techniques = different numbers
- Subject to presentation framing effects (e.g. survival/death)
- Reductionist – e.g. ‘affected’ vs ‘unaffected’ reduces a complex issue into 2 options.
Colin Murray Parkes states the
4 stages of grief
4 stages of grief (Colin Murray Parkes)
- Numbness
- Yearning/pining and anger
- Disorganised and despair
- Reorganisation
Who decribed some of the symptomology of acute grief?
Lindemann
Lindemann acute grief:
- Somatic/bodily distress
- Preoccupation with the image of the deceased
- Guilt re: the deceased or circumstances of death
- Hostile reactions
- Inability to function as one has before the loss
- Development of traits of the deceased in their own behaviour
Grief symptomology can be split into what domains?
Emotional
Somatic
Cognitive
Depression-like
Emotional symptoms of grief:
Sadness Anger Guilt Anxiety Loneliness Helplessness Shock Yearning Numbness
Somatic symptoms of grief:
Sensations from stomach, chest, throat Sensitivity to noise Breathlessness Weakness Lack of energy
Cognitive symptoms of grief:
Disbelief
Preoccupation
Sense of presence
Hallucination
Who described the tasks of mourning?
Worden
What did worden believe grief was?
An active process
Tasks of mourning:
- Accept the reality of loss
- Work through the pain of grief
- Adjust to an environment in which the deceased is missing
- Emotionally relocate the deceased and move on with life