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clinical reasoning
process used by practitioners to plan, direct, perform, and reflect on client care
the cognitive process clinicians use to gather data, interpret findings, generate hypotheses, and arrive at a diagnosis or management plan
differential diagnosis list
a list of possible causes for the patient's signs or for an abnormal finding
working diagnosis
the one diagnosis from a differential list used to base the patient's treatment plan
prevalence
fraction of a population having a specific disease at a given time
incidence
the number or rate of new cases of a particular condition during a specific time
sensitivity
percentage of patients who have a true positive
they have the disease
true positive = yes to disease
high sensitivity = low change of false negative
specificity
percent of patients who have a true negative/are disease free
high specificity = low chance of a false positive
pretest probability
probability that a disease is present before further testing is done
test threshold
probability below which the diagnosis is so unlikely you exclude it without requiring further testing
treatment threshold
probability above which the diagnosis is so likely you treat the patient without further testing
posttest probability
when a test is so helpful it pushes you past one of the thresholds
validity
measures if the test accurately identify whether a patient has a disease
positive predictive value,
probability that a person with a positive test has the disease
negative predictive value
probability that a person with a negative test does not have the disease
true negative
patient with a negative test does not have a disease
false negative
patient with a negative test does have a disease
true positive
patient with a positive test does have a disease
false positive
patient with a positive test does not have a disease
likelihood ratio
likelihood that a given test result would occur in a patient with the disease compared with the likelihood that the same result would occur in a patient without the disease
tells you how much a test result changes the pretest disease probability to the posttest disease probability
the magnitude of the LR indicates how strongly a specific test will raise (rule in) or lower (rule out) the likelihood of disease
two clinical reasoning systems
System 1: Intuitive
-operates quickly and often automatically via mental shortcuts
-rapid and intuitive -> habitual response systems -> challenging to alter
-used by experts most of the time
System 2: Hypothetico-Deductive (Rational)
-explicit analytical approach via deliberate and controlled thought process
-employs logic and probability to reach conclusions
-requires more time and cognitive effort
anchoring bias
a tendency to fixate on initial information from the patient that influences the diagnosis
tendency to lock onto salient features in the pt's initial presentation too early in the diagnostic process, and fail to adjust diagnosis later
availability heuristic
assumption that a diagnosis is more likely/frequent if it readily comes to mind
confirmation bias
seeking supportive evidence for a diagnosis at the exclusion of more persuasive information refuting it
diagnostic momentum
prioritizing a diagnosis made by prior clinicals, discounting evidence of altenative explanation
framing effect
interpretation of information that is influenced by the way the info is framed/presented
representation error
failure to take prevalence into account when estimating the probability of a diagnosis
visceral bias
visceral arousal (negative/positive feelings towards patients) leads to poor diagnostic decisions
availability bias
considering easily remembered diagnoses more likely irrespective of prevalence
base rate neglect
pursuing zebras
representativeness
ignoring atypical features that are inconsistent with the favored diagnosis
confirmation bias
seeking data to confirm, rather than refute the initial hypothesis
premature closure
stopping the diagnostic process too soon
steps of clinical reasoning
1. Identify the problem
2. Frame the differential
3. Organize the differential diagnosis list
4. Limit the list
5. Explore possible diagnoses using the H and P findings
6. Rank the differential list
7. Test the hypotheses
8. Re-rank with new data
9. Test the new hypotheses
ranking differential diagnosis
4 approaches to ranking
Possibilistic
-consider all known causes equally likely and simultaneously test for all of them
Probabilistic
-consider first the disorders that are more likely
-highest pretest probability -> probability that a disease is present before further testing is done
Prognostic
-consider the most serious diagnoses first
Pragmatic
-consider the diagnoses most responsive to treatment first
creating a differential diagnosis
Anatomic
-based on affected location (e.g., chest pain → cardiac, pulmonary, GI)
Organ/system
-by body system (cardiac, neuro, renal, etc.)
Physiologic
-by underlying mechanism (obstructive, infectious, inflammatory, metabolic)
Pivotal points
-key features or red flags that narrow possibilities (e.g., sudden onset, fever, weight loss)
treatment plan
-disposition
-further work up/evaluation
-consulation/referrals
-treatment (non pharm, pharm, therapeutic education/procedures)
-follow up
-patient education/health maintenance
social determinants of health
factors like income, education, housing, food security, employment, cultural background, and access to healthcare affect how patients present, what treatments they can adhere to, and what follow-up is realistic
a good management plan must be feasible within the patient's context