and Formulating Differential Diagnoses, 5th Edition, Mary Jo
Goolsby, Laurie Grubbs Chapter 1 - 22 | Complete
,
,Chapter451.45Assessment45and45Clinical45Decision-Making:45Overview
Multiple45 Choice
Identify45the45choice45that45 best45 completes45the45statementZorZanswers45the45question.
1. Which45 type45 of45 clinical45 decision-making45 is45 most45 reliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick
2. Which45 of45 the45 following45 is45 false?45To45 obtain45 adequate45 history,45 health-
care45providers45 must45 be:
A. Methodical45 and45 systematic
B. Attentive45 to45 the45 patient’s45 verbal45 and45 nonverbal45 language
C. Able45 to45 accurately45 interpret45 the45 patient’s45 responses
D. Adept45 at45 reading45 into45the45 patient’s45 statements
3. Essential45 parts45 of45 a45 health45 history45 include45 all45 of45 the45 followingZexcept:
A. Chief45 complaint
B. History45 of45 the45 present45 illness
C. Current45 vital45 signs
D. All45 of45 the45 above45 are45 essential45 history45 components
4. Which45of45the45following45is45false?45While45performingZthe45physicalZexamination,45the45exam
iner45must45beable45to:
A. Differentiate45 between45 normal45 and45 abnormal45 findings
B. Recall45 knowledge45 of45 a45 range45 of45 conditions45 and45 theirZassociated45 signs45 and45 symptoms
C. Recognize45 how45 certain45 conditions45 affect45 the45 responseZto45 other45 conditions
D. Foresee45 unpredictable45 findings
5. The45 following45 is45 the45 least45 reliableZsource45 of45 information45 for45 diagnostic45 statistics:
A. Evidence-based45 investigations
B. Primary45 reports45 ofZresearch
C. Estimation45 basedZonZa45provider’sZexperience
D. Published45 meta-analyses
6. The45 followingZcan45 be45 used45 toZassist45in45 sound45 clinical45 decision-making:
A. AlgorithmZpublished45inZaZpeer-reviewed45journal45article
B. ClinicalZpractice45guidelines
C. Evidence-basedZresearch
D. All45 of45 theZabove
7. If45 a45 diagnosticZstudy45 has45 high45 sensitivity,45 this45 indicates45 a:
A. High45 percentage45 of45 persons45 with45 the45 given45 condition45 will45 have45 an45 abnormal45 result
B. Low45 percentage45 of45 persons45 with45 the45 given45 condition45 will45 have45 an45 abnormal45 result
C. Low45 likelihood45 of45 normal45 result45 in45 persons45 without45 a45 given45 condition
D. None45 of45 the45 above
, 8. If45 a45 diagnostic45 study45 has45 high45 specificity,45 this45 indicates45 a:
A. Low45 percentage45 of45 healthy45 individuals45 will45 show45 a45 normal45 result
B. High45 percentage45 of45 healthy45 individuals45 will45 show45 a45 normal45 result
C. High45 percentage45 of45 individuals45 with45 a45 disorder45 will45 show45 a45 normal45 result
D. Low45 percentage45 of45 individuals45 with45 a45 disorder45 will45 show45 an45 abnormal45 result
9. A45likelihood45 ratio45 above45145 indicates45 that45 a45 diagnostic45 test45 showing45 a:
A. Positive45 result45 is45 strongly45 associated45 with45 the45 disease
B. Negative45 result45 is45 strongly45 associated45 with45 absence45 of45 the45 disease
C. Positive45 result45 is45 weakly45 associated45 with45 the45 disease
D. Negative45 result45 is45 weakly45 associated45 with45 absence45 of45 the45 disease
4 5 4 5 10.4 5 Which4 5 of4 5 the4 5 following4 5 clinical4 5 reasoning4 5 tools4 5 is4 5 defined4 5 as4 5 evidence-
based45 resource45 based45 on45 mathematical45 modeling45 to45 express45 the45 likelihood45of45 a45 con
dition45 in45selec45t45situations,45settings,45and/orpatients?
A. Clinical45practice45guideli
B. ne45Clinical45decision45rul
C. e45Clinical45algorithm4 5 C
D. linical45recommendation