MMD Exam 1 Lecture Flashcards
(104 cards)
treatment threshold is determined by _____ probability and _____ ______
pretest, likelihood ratios
a ____ _____ is useful if it can distinguish between diagnoses that mimic each other which moves the clinician closer to the treatment threshold
diagnostic test
the following are stats for a ____ test
- pretest and posttest probability
- sensitivity and specificity
- positive and negative likelihood ratios
“good”
1st step in the decision-making process or creating your “hypothesis”
based on a combo of:
– Prevalence rates
– History & MOI
– Results of any prior work-up – Clinician’s experience
pretest probability
____ _____ is the “truth”; the diagnostic test that best identifies a specific condition (ex. arthroscopic findings for ACL tear)
reference standard
(ideal/poor) study: blind, prospective with a consecutive group of subjects subjected of having the target dx
ideal
sensitivity is the true ____ rate
positive - the tests ability to detect those who actually have a disorder as indicated by the reference standard
high sensitivity = few false negatives
sensitivity or specificity? negative result rules out condition
sensitivity (SnNOUT)
sensitivity or specificity? positive result rules in condition
specificity (SPIN)
specificity is the true ____ rate
negative - the tests ability to detect those who actually do NOT have a disorder as indicated by the reference standard
high specificity = few false positives
_____ _____ express the change in odds favoring the disorder given a positive or negative test
likelihood ratios
likelihood ratios: large positive LR (>5)
(increases/decreases) odds favoring diagnosis given positive test
helpful for ruling (in/out) condition
increases, in
likelihood ratios: small negative LR (<0.3)
(increases/decreases) odds favoring diagnosis given negative test
helpful for ruling (in/out) condition
decreases, out
_____ _____ _____ are tools used by clinicians to determine the likelihood a patient is presenting with a certain disease based on certain variables; and to identify patients most likely to benefit from specific treatment intervention
clinical prediction rules
T/F: most clinical prediction rules in PT practice are validated
false, NOT validated
must remain secondary to sound clinical judgement although they have the potential to improve outcomes, increase patient satisfaction, and decrease costs of care
what is the minimal critically important difference (MCID)?
the smallest change score associated with a patient’s perception of a change in health status; an important concept when looking at effect size and clinical relevance of research findings
interpreting “positive” trials:
if the lower boundary of the confidence interval (the end that suggests the smallest benefit from treatment) is greater than the MCID, you can conclude the trial is a ____ positive trial
definitive
interpreting “positive” trials:
if the lower boundary of the confidence interval (the end that suggests the smallest benefit from treatment) is less than the MCID, you can conclude the trial is a ____ positive trial
trivial
the practice of evidence-based medicine means integrating what 3 things?
best research evidence, clinical expertise, and patient values
name pitfalls in making clinical decisions based on “tradition and authority”
tradition: “that’s how they taught me to treat x in PT school”
authority: power of persuasion by flashy techniques/doctors
what is the chief virtue of the scientific method?
reduction of bias
____: justifications for treatment based on basic or applied work designed to answer the question of why something should work
theory
_____: justifications for treatment based on applied work (on patients) designed to answer the question of if something works
evidence
_____: the term that names the primary dysfunction which directs treatment
PT diagnosis