Downloaded kkby kkAnna kkMaina
,Chapter 1: Clinical reasoning, differential diagnosis, evidence-based practice, and symptom ana
kk kk kk kk kk kk kk kk kk kk
Multiple kkChoice
Downloaded kkby kkAnna kkMaina
,Identify kkthe kkchoice kkthat kkbest kkcompletes kkthe kkstatement kkor kkanswers kkthe kkquestion.
1. Which kktype kkof kkclinical kk decision-making kkis kkmost kk reliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick
2. Which kkof kkthe kkfollowing kkis kkfalse? kkTo kkobtain kkadequate kkhistory, k k health-care kkproviders kkmust kkbe:
A. Methodical kkand kksystematic
B. Attentive kkto kkthe kkpatient’s kkverbal kkand kknonverbal
kklanguage
C. Able kkto kkaccurately kkinterpret kkthe kkpatient’s kkresponses
D. Adept kkat kkreading kkinto kkthe kkpatient’s kkstatements
3. Essential kkparts kkof kka kkhealth kkhistory kkinclude k k all k k of kkthe kkfollowing k k except:
A. Chief kkcomplaint
B. History kkof kkthe kkpresent k k illness
C. Current kkvital kk signs
D. All kkof kkthe kkabove k k are kkessential k k history
kkcomponents
4. Which kkof kkthe kkfollowing kkis kk false? kk While kkperforming kkthe kkphysical k k examination, kkthe kkexaminer k k must kkbe kkable kkto:
A. Differentiatebbetween kknormal kkand kkabnormal kkfindings
B. Recallkkknowledge kkof kka kkrange kkof kkconditions kkand kktheir kkassociated kksigns kkand
kk symptoms
C. Recognize kkhow kkcertain kkconditions kkaffect k k the kkresponse kkto kkother kkconditions
D. Foresee k k unpredictable k k findings
5. The kkfollowing kkis kkthe kkleast k k reliable kksource kkof kkinformation kk for kkdiagnostic kkstatistics:
A. Evidence-based k k investigations
B. Primary kkreports kkof kkresearch
C. Estimation kkbased kkon kka kkprovider’s
kkexperience
D. Published k k meta-analyses
6. The kkfollowing kkcan kkbe kkused kkto kkassist kk in kksound k k clinical kk decision-making:
A. Algorithmkkpublished kkin kka kkpeer-reviewed kkjournal
kkarticle
B. Clinical kkpractice kkguidelines
C. Evidence-based k k research
D. All kk of kkthe kkabove
7. If kka kkdiagnostic kkstudy kkhas kkhigh kksensitivity, k k this kk indicates k k a:
A. High kkpercentage kkof kkpersons k k with kkthe kkgiven kk condition kk will kk have kkan
kkabnormal kkresult
B. Lowkkpercentage kkof kkpersons kkwith kkthe kkgiven kkcondition k k will kkhave kkan
kk abnormal kk result
C. Low kklikelihood kk of kknormal kk result kk in kkpersons kkwithout kk a kkgiven k k condition
D. None kkof kkthe kkabove
8. If kka kkdiagnostic kkstudy kkhas k k high kkspecificity, k k this kkindicates kk a:
A. Low kkpercentage kk of kkhealthy kkindividuals k k will kkshow kka kknormal kkresult
B. High kkpercentage k k of kkhealthy kkindividuals kkwill kk show kka kknormal k k result
C. High kkpercentage kkof kkindividuals k k with k k a kkdisorder kkwill kk show kka kknormal
kk result
D. Low kkpercentage kkof kkindividuals kkwith kka kkdisorder k k will k k show kkan
kkabnormal k k result
9. A kklikelihood kkratio kkabove kk 1 kkindicates kk that kk a kkdiagnostic kktest kk showing kka:
A. Positive kkresult kkis kkstrongly kkassociated k k with kkthe kkdisease
B. Negative kkresult kkis kkstrongly kkassociated kkwith kkabsence kkof kkthe
kkdisease
C. Positive kkresult kkis kkweakly kkassociated kkwith kkthe kkdisease
D. Negative kkresult kkis kkweakly kkassociated k k with kkabsence kkof kkthe
kkdisease
Downloaded kkby kkAnna kkMaina
, 10. Which kkof kkthe kkfollowing kkclinical kkreasoning kktools kkis kkdefined kkas kkevidence-based kkresource kkbased kkon
kkmathematical kkmodeling kkto kkexpress kkthe kklikelihood kkof kka kkcondition kkin kkselect kksituations, kksettings, kkand/or
kkpatients?
Downloaded kkby kkAnna kkMaina
,Chapter 1: Clinical reasoning, differential diagnosis, evidence-based practice, and symptom ana
kk kk kk kk kk kk kk kk kk kk
Multiple kkChoice
Downloaded kkby kkAnna kkMaina
,Identify kkthe kkchoice kkthat kkbest kkcompletes kkthe kkstatement kkor kkanswers kkthe kkquestion.
1. Which kktype kkof kkclinical kk decision-making kkis kkmost kk reliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick
2. Which kkof kkthe kkfollowing kkis kkfalse? kkTo kkobtain kkadequate kkhistory, k k health-care kkproviders kkmust kkbe:
A. Methodical kkand kksystematic
B. Attentive kkto kkthe kkpatient’s kkverbal kkand kknonverbal
kklanguage
C. Able kkto kkaccurately kkinterpret kkthe kkpatient’s kkresponses
D. Adept kkat kkreading kkinto kkthe kkpatient’s kkstatements
3. Essential kkparts kkof kka kkhealth kkhistory kkinclude k k all k k of kkthe kkfollowing k k except:
A. Chief kkcomplaint
B. History kkof kkthe kkpresent k k illness
C. Current kkvital kk signs
D. All kkof kkthe kkabove k k are kkessential k k history
kkcomponents
4. Which kkof kkthe kkfollowing kkis kk false? kk While kkperforming kkthe kkphysical k k examination, kkthe kkexaminer k k must kkbe kkable kkto:
A. Differentiatebbetween kknormal kkand kkabnormal kkfindings
B. Recallkkknowledge kkof kka kkrange kkof kkconditions kkand kktheir kkassociated kksigns kkand
kk symptoms
C. Recognize kkhow kkcertain kkconditions kkaffect k k the kkresponse kkto kkother kkconditions
D. Foresee k k unpredictable k k findings
5. The kkfollowing kkis kkthe kkleast k k reliable kksource kkof kkinformation kk for kkdiagnostic kkstatistics:
A. Evidence-based k k investigations
B. Primary kkreports kkof kkresearch
C. Estimation kkbased kkon kka kkprovider’s
kkexperience
D. Published k k meta-analyses
6. The kkfollowing kkcan kkbe kkused kkto kkassist kk in kksound k k clinical kk decision-making:
A. Algorithmkkpublished kkin kka kkpeer-reviewed kkjournal
kkarticle
B. Clinical kkpractice kkguidelines
C. Evidence-based k k research
D. All kk of kkthe kkabove
7. If kka kkdiagnostic kkstudy kkhas kkhigh kksensitivity, k k this kk indicates k k a:
A. High kkpercentage kkof kkpersons k k with kkthe kkgiven kk condition kk will kk have kkan
kkabnormal kkresult
B. Lowkkpercentage kkof kkpersons kkwith kkthe kkgiven kkcondition k k will kkhave kkan
kk abnormal kk result
C. Low kklikelihood kk of kknormal kk result kk in kkpersons kkwithout kk a kkgiven k k condition
D. None kkof kkthe kkabove
8. If kka kkdiagnostic kkstudy kkhas k k high kkspecificity, k k this kkindicates kk a:
A. Low kkpercentage kk of kkhealthy kkindividuals k k will kkshow kka kknormal kkresult
B. High kkpercentage k k of kkhealthy kkindividuals kkwill kk show kka kknormal k k result
C. High kkpercentage kkof kkindividuals k k with k k a kkdisorder kkwill kk show kka kknormal
kk result
D. Low kkpercentage kkof kkindividuals kkwith kka kkdisorder k k will k k show kkan
kkabnormal k k result
9. A kklikelihood kkratio kkabove kk 1 kkindicates kk that kk a kkdiagnostic kktest kk showing kka:
A. Positive kkresult kkis kkstrongly kkassociated k k with kkthe kkdisease
B. Negative kkresult kkis kkstrongly kkassociated kkwith kkabsence kkof kkthe
kkdisease
C. Positive kkresult kkis kkweakly kkassociated kkwith kkthe kkdisease
D. Negative kkresult kkis kkweakly kkassociated k k with kkabsence kkof kkthe
kkdisease
Downloaded kkby kkAnna kkMaina
, 10. Which kkof kkthe kkfollowing kkclinical kkreasoning kktools kkis kkdefined kkas kkevidence-based kkresource kkbased kkon
kkmathematical kkmodeling kkto kkexpress kkthe kklikelihood kkof kka kkcondition kkin kkselect kksituations, kksettings, kkand/or
kkpatients?
Downloaded kkby kkAnna kkMaina
