Psychology 1b - Clinical Decision Making Flashcards

1
Q

Define medical error

A
  • An error is defined as the failure of a planned action to
    be completed as intended (i.e., error of execution) or the
    use of a wrong plan to achieve an aim (i.e., error of
    planning).
  • E.g. incorrect diagnosis, failure to employ indicated tests, error in the performance of an operation, procedure, or test, error in the dose or method of using a drug.
  • Diagnostic errors have the most severe effect on patients
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2
Q

Describe the case of WJ

A
  • 15 year old with leukaemia in remission
  • Mistakenly, vincristine was administered by intrathecal route rather than IV
  • Resulted in paralysis and his parents decided to switch off his life support
  • Registrar was convicted of manslaughter
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3
Q

Describe Hofling et al’s study

A
  • Doctors asked nurses to administer a higher dose of a fictional drug than a clearly labelled maximum
  • 21 out of 22 nurses prepared the dose
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4
Q

How is clinical decision making performed?

A
  • Clinicians rarely use formal computations to make patient care decisions in day-to-day practice.
  • Intuitive understanding of probabilities is combined with cognitive processes called heuristics to guide clinical judgment.
  • Heuristics are often referred to as rules of thumb, educated guesses, or mental shortcuts.
  • Heuristics usually involve pattern recognition and
    rely on a subconscious integration of patient data with prior experience
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5
Q

What are the two systems for decision making?

A
  • Hot system - system 1 (emotional, reflexive, fast, develops early, accentuated by stress)
  • Cold system - system 2 (cognitive, complex, reflective, slow, develops late, self control)
  • System 1 can automatically control actions while system 2 is unaware (Nisbett and Wilson and choosing tights on the right)
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6
Q

What is confirmation bias?

A
  • The tendency to search for or seek, interpret, and recall information in a way that confirms one’s preexisting beliefs or hypotheses, often
    leading to errors
  • Clinically, this can explain misdiagnosis
  • Podbregar found conditions who were completely certain of a diagnosis of a patient were incorrect 40% of the time
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7
Q

What is the sunk cost fallacy?

A
  • Sunk costs are any costs that have been spent on a project that are irretrievable including expensive drugs used to treat a patient with a rare disease
  • The only factor affecting future action should be cost/benefit ratio, but the
    more we have invested in the past the more we are prepared to invest in a
    problem in the future (Sunk Cost Fallacy)
  • Bornstein et al found medical residents evaluation of treatment decisions were not influenced by the amount of time and money invested in treating a patient
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8
Q

What is anchoring?

A
  • Individuals poor at adjusting estimates from a given starting point
  • Adjustments are crude and imprecise
  • Anchored by starting point
  • Patients may dismiss or excuse conflicting data of their diagnosis
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9
Q

What are representativeness heuristics?

A
  • Subjective probability that a stimulus belongs to a particular class based on how ‘typical’ of that class it appears to be (regardless of base rate probability)
  • While often very useful in everyday life, it can also result in neglect of relevant base rates and other errors.
  • Eg. someone may present with symptoms abnormal to a disease, but if that disease is high base rate for a person of that age, they may still have the disease it should not be dismissed
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10
Q

Describe the framing effect

A
  • Wording a decision as a loss or gain can affect outcome
  • Eg. can be worded as 70% of people get better or 30% of people do not get better
  • Older adults are more likely to agree to a treatment when it is positively described, than when described neutrally or negatively
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11
Q

What are availability heuristics?

A
  • Probabilities are estimated on the basis of how easily or vividly they can be called to mind
  • Individuals typically overestimate the frequency of occurrence of catastrophic, dramatic events (80% believe accidents cause more deaths than strokes)
  • People weigh heavily their judgement towards recent information (eg. if a clinician misdiagnoses someone they are more likely to overestimate the risk in similar patients)
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12
Q

How can clinical decision making be improved?

A
  • Education and training (teach about cognitive error, diagnostic error, and recognise heuristics and biases)
  • Feedback (increase autopsies, conduct regular audits, follow up patients)
  • Accountability (establish clear accountability and follow-up for decisions made)
  • Generating alternatives (establish consideration of alternatives)
  • Consultation (seek second opinions, use algorithms and decision making support systems)
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13
Q

What are algorithms?

A
  • Procedures which, if followed exactly, will provide the most likely answer based on the evidence
  • Rules of probability are examples of algorithms
  • Useful in situations where the problem is well defined (eg. heartburn)
  • Have to be taught how to use them
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14
Q

List the types of heuristics

A
  • Availability
  • Anchoring
  • Representativeness
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