Test Bank for Advanced Assessment: Interpreting Findings
and Formulating Differential Diagnoses, 5th Edition, Mary Jo
Goolsby, Laurie Grubbs Chapter 1 - 22 | Complete
,Chapter5s1.5sAssessment5sand5sClinical5sDecision-Making:5sOverview
Multiple5sChoice
Identify5sthe5schoice5sthat5sbest5scompletes5sthe5sstatement5sor5sanswers5sthe5squestion.
5s 1. Which5stype5sof5sclinical5sdecision-making5sis5smost5sreliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick
5s 2. Which5sof5sthe5sfollowing5sis5sfalse?5sTo5sobtain5sadequate5shistory,5shealth-care5sproviders5smust5sbe:
A. Methodical5sand5ssystematic
B. Attentive5sto5sthe5spatient’s5sverbal5sand5snonverbal5slanguage
C. Able5sto5saccurately5sinterpret5sthe5spatient’s5sresponses
D. Adept5sat5sreading5sinto5sthe5spatient’s5sstatements
Essential5sparts5sof5sa5shealth5shistory5sinclude5sall5sof5sthe5sfollowing5sexcept:
5s 3. A. Chief5scomplaint
B. History5sof5sthe5spresent5sillness
C. Current5svital5ssigns
D. All5sof5sthe5sabove5sare5sessential5shistory5scomponents
Which5sof5sthe5sfollowing5sis5sfalse?5sWhile5sperforming5sthe5sphysical5sexamination,5sthe5sexaminer5s
5s 4. must5sbe5as ble5sto:
A. Differentiate5sbetween5snormal5sand5sabnormal5sfindings
B. Recall5sknowledge5sof5sa5srange5sof5sconditions5sand5stheir5sassociated5ssigns5sand5ssymptoms
C. Recognize5show5scertain5sconditions5saffect5sthe5sresponse5sto5sother5sconditions
D. Foresee5sunpredictable5sfindings
The5sfollowing5sis5sthe5sleast5sreliable5ssource5sof5sinformation5sfor5sdiagnostic5sstatistics:
5s 5. A. Evidence-based5sinvestigations
B. Primary5sreports5sof5sresearch
C. Estimation5sbased5son5sa5sprovider’s5sexperience
D. Published5smeta-analyses
The5sfollowing5scan5sbe5sused5sto5sassist5sin5ssound5sclinical5sdecision-making:
5s 6. A. Algorithm5spublished5sin5sa5speer-reviewed5sjournal5sarticle
B. Clinical5spractice5sguidelines
C. Evidence-based5sresearch
D. All5sof5sthe5sabove
If5sa5sdiagnostic5sstudy5shas5shigh5ssensitivity,5sthis5sindicates5sa:
A. High5spercentage5sof5spersons5swith5sthe5sgiven5scondition5swill5shave5san5sabnormal5sresult
5s 7. B. Low5spercentage5sof5spersons5swith5sthe5sgiven5scondition5swill5shave5san5sabnormal5sresult
C. Low5slikelihood5sof5snormal5sresult5sin5spersons5swithout5sa5sgiven5scondition
D. None5sof5sthe5sabove
,5s 8. If5sa5sdiagnostic5sstudy5shas5shigh5sspecificity,5sthis5sindicates5sa:
A. Low5spercentage5sof5shealthy5sindividuals5swill5sshow5sa5snormal5sresult
B. High5spercentage5sof5shealthy5sindividuals5swill5sshow5sa5snormal5sresult
C. High5spercentage5sof5sindividuals5swith5sa5sdisorder5swill5sshow5sa5snormal5sresult
D. Low5spercentage5sof5sindividuals5swith5sa5sdisorder5swill5sshow5san5sabnormal5sresult
5s 9. A5slikelihood5sratio5s above5s15sindicates5sthat5s a5sdiagnostic5stest5sshowing5sa:
A. Positive5sresult5sis5sstrongly5sassociated5swith5sthe5sdisease
B. Negative5sresult5s is5sstrongly5sassociated5swith5sabsence5sof5sthe5sdisease
C. Positive5sresult5sis5sweakly5sassociated5swith5sthe5sdisease
D. Negative5sresult5s is5sweakly5sassociated5swith5sabsence5sof5sthe5sdisease
5s 5s5s5s 10.5sWhich5sof5sthe5sfollowing5sclinical5sreasoning5stools5sis5sdefined5sas5sevidence-
based5sresource5sbased5son5smathematical5smodeling5sto5sexpress5sthe5slikelihood5sof5sa5scondition5si
n5sselect5ssituations,5ssettings,5sand/or5p
s atients?
A. Clinical5spractice5sguidelin
B. e5C
s linical5sdecision5srule5s
C. Clinical5s algorithm5sClinic
D. al5srecommendation
, Chapter5s1.5sAssessment5sand5sClinical5sDecision-
Answer5sSection
Making: 5sOverview
MULTIPLE5sCHOICE
1. ANS:5 s B
Croskerry5s(2009)5sdescribes5stwo5smajor5stypes5sof5sclinical5sdiagnostic5sdecision-
making:5sintuitive5sand5sanalytical.5sIntuitive5sdecision-making5s(similar5sto5sAugenblink5sdecision-
making)5sis5sbased5son5sthe5sexperience5sand5sintuition5sof5sthe5sclinician5sand5sis5sless5sreliable5sand5s
paired5swith5sfairly5scommon5serrors.5sIn5scontrast,5sanalytical5sdecision-
making5sis5sbased5son5scareful5sconsideration5sand5shas5sgreater5sreliability5w
s ith5srare5serrors.
PTS: 1
2. ANS:5 s D
To5sobtain5sadequate5shistory,5sproviders5smust5sbe5swell5sorganized,5sattentive5sto5sthe5spatient’s5sver
bal5sand5n
s onverbal5slanguage,5sand5sable5sto5saccurately5sinterpret5sthe5spatient’s5sresponses5sto5squ
estions.5sRather5sthan5sreading5sinto5sthe5spatient’s5sstatements,5sthey5sclarify5sany5sareas5sof5suncert
ainty.
PTS: 1
3. ANS:5 s C
Vital5ssigns5sare5spart5sof5sthe5sphysical5sexamination5sportion5sof5spatient5sassessment,5snot5spart5sof5sthe5s
health5hs istory.
PTS: 1
4. ANS:5 s D
While5sperforming5sthe5sphysical5sexamination,5sthe5sexaminer5smust5sbe5sable5sto5sdifferentiate5sbet
ween5n s ormal5sand5sabnormal5sfindings,5srecall5sknowledge5sof5sa5srange5sof5sconditions,5sincluding5st
heir5sassociated5ssigns5sand5ssymptoms,5srecognize5show5scertain5sconditions5saffect5sthe5sresponse5
sto5sother5sconditions,5sand5sdistinguish5sthe5srelevance5s of5svaried5sabnormal5sfindings.
PTS: 1
5. ANS:5 s C
Sources5sfor5sdiagnostic5sstatistics5sinclude5stextbooks,5sprimary5sreports5sof5sresearch,5sand5spublis
hed5smeta-
analyses.5sAnother5ssource5sof5sstatistics,5sthe5sone5sthat5shas5sbeen5smost5swidely5sused5sand5savail
able5sfor5sapplication5sto5sthe5sreasoning5sprocess,5sis5sthe5sestimation5sbased5son5sa5sprovider’s5sex
perience,5salthough5sthese5sare5srarely5saccurate.5sOver5sthe5spast5sdecade,5sthe5savailability5sof5sevi
dence5son5swhich5sto5sbase5sclinical5sreasoning5sis5simproving,5sand5sthere5sis5san5sincreasing5sexpect
ation5sthat5sclinical5sreasoning5b
s e5sbased5son5sscientific5sevidence.5sEvidence-
based5sstatistics5sare5salso5sincreasingly5sbeing5sused5sto5sdevelop5sresources5sto5sfacilitate5sclinical5s
decision-making.
PTS: 1
6. ANS:5 s D
To5sassist5sin5sclinical5sdecision-making,5sa5snumber5sof5sevidence-
based5sresources5shave5sbeen5sdeveloped5ts o5sassist5sthe5sclinician.5sResources,5ssuch5sas5salgorithms5s
and5sclinical5spractice5sguidelines,5sassist5sin5sclinical5sreasoning5swhen5sproperly5sapplied.
Downloaded5sby:5sStuviaaa5s|5sessayguruh@gmail.
com
Distribution5sof5sthis5sdocument5sis5sillegal
and Formulating Differential Diagnoses, 5th Edition, Mary Jo
Goolsby, Laurie Grubbs Chapter 1 - 22 | Complete
,Chapter5s1.5sAssessment5sand5sClinical5sDecision-Making:5sOverview
Multiple5sChoice
Identify5sthe5schoice5sthat5sbest5scompletes5sthe5sstatement5sor5sanswers5sthe5squestion.
5s 1. Which5stype5sof5sclinical5sdecision-making5sis5smost5sreliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick
5s 2. Which5sof5sthe5sfollowing5sis5sfalse?5sTo5sobtain5sadequate5shistory,5shealth-care5sproviders5smust5sbe:
A. Methodical5sand5ssystematic
B. Attentive5sto5sthe5spatient’s5sverbal5sand5snonverbal5slanguage
C. Able5sto5saccurately5sinterpret5sthe5spatient’s5sresponses
D. Adept5sat5sreading5sinto5sthe5spatient’s5sstatements
Essential5sparts5sof5sa5shealth5shistory5sinclude5sall5sof5sthe5sfollowing5sexcept:
5s 3. A. Chief5scomplaint
B. History5sof5sthe5spresent5sillness
C. Current5svital5ssigns
D. All5sof5sthe5sabove5sare5sessential5shistory5scomponents
Which5sof5sthe5sfollowing5sis5sfalse?5sWhile5sperforming5sthe5sphysical5sexamination,5sthe5sexaminer5s
5s 4. must5sbe5as ble5sto:
A. Differentiate5sbetween5snormal5sand5sabnormal5sfindings
B. Recall5sknowledge5sof5sa5srange5sof5sconditions5sand5stheir5sassociated5ssigns5sand5ssymptoms
C. Recognize5show5scertain5sconditions5saffect5sthe5sresponse5sto5sother5sconditions
D. Foresee5sunpredictable5sfindings
The5sfollowing5sis5sthe5sleast5sreliable5ssource5sof5sinformation5sfor5sdiagnostic5sstatistics:
5s 5. A. Evidence-based5sinvestigations
B. Primary5sreports5sof5sresearch
C. Estimation5sbased5son5sa5sprovider’s5sexperience
D. Published5smeta-analyses
The5sfollowing5scan5sbe5sused5sto5sassist5sin5ssound5sclinical5sdecision-making:
5s 6. A. Algorithm5spublished5sin5sa5speer-reviewed5sjournal5sarticle
B. Clinical5spractice5sguidelines
C. Evidence-based5sresearch
D. All5sof5sthe5sabove
If5sa5sdiagnostic5sstudy5shas5shigh5ssensitivity,5sthis5sindicates5sa:
A. High5spercentage5sof5spersons5swith5sthe5sgiven5scondition5swill5shave5san5sabnormal5sresult
5s 7. B. Low5spercentage5sof5spersons5swith5sthe5sgiven5scondition5swill5shave5san5sabnormal5sresult
C. Low5slikelihood5sof5snormal5sresult5sin5spersons5swithout5sa5sgiven5scondition
D. None5sof5sthe5sabove
,5s 8. If5sa5sdiagnostic5sstudy5shas5shigh5sspecificity,5sthis5sindicates5sa:
A. Low5spercentage5sof5shealthy5sindividuals5swill5sshow5sa5snormal5sresult
B. High5spercentage5sof5shealthy5sindividuals5swill5sshow5sa5snormal5sresult
C. High5spercentage5sof5sindividuals5swith5sa5sdisorder5swill5sshow5sa5snormal5sresult
D. Low5spercentage5sof5sindividuals5swith5sa5sdisorder5swill5sshow5san5sabnormal5sresult
5s 9. A5slikelihood5sratio5s above5s15sindicates5sthat5s a5sdiagnostic5stest5sshowing5sa:
A. Positive5sresult5sis5sstrongly5sassociated5swith5sthe5sdisease
B. Negative5sresult5s is5sstrongly5sassociated5swith5sabsence5sof5sthe5sdisease
C. Positive5sresult5sis5sweakly5sassociated5swith5sthe5sdisease
D. Negative5sresult5s is5sweakly5sassociated5swith5sabsence5sof5sthe5sdisease
5s 5s5s5s 10.5sWhich5sof5sthe5sfollowing5sclinical5sreasoning5stools5sis5sdefined5sas5sevidence-
based5sresource5sbased5son5smathematical5smodeling5sto5sexpress5sthe5slikelihood5sof5sa5scondition5si
n5sselect5ssituations,5ssettings,5sand/or5p
s atients?
A. Clinical5spractice5sguidelin
B. e5C
s linical5sdecision5srule5s
C. Clinical5s algorithm5sClinic
D. al5srecommendation
, Chapter5s1.5sAssessment5sand5sClinical5sDecision-
Answer5sSection
Making: 5sOverview
MULTIPLE5sCHOICE
1. ANS:5 s B
Croskerry5s(2009)5sdescribes5stwo5smajor5stypes5sof5sclinical5sdiagnostic5sdecision-
making:5sintuitive5sand5sanalytical.5sIntuitive5sdecision-making5s(similar5sto5sAugenblink5sdecision-
making)5sis5sbased5son5sthe5sexperience5sand5sintuition5sof5sthe5sclinician5sand5sis5sless5sreliable5sand5s
paired5swith5sfairly5scommon5serrors.5sIn5scontrast,5sanalytical5sdecision-
making5sis5sbased5son5scareful5sconsideration5sand5shas5sgreater5sreliability5w
s ith5srare5serrors.
PTS: 1
2. ANS:5 s D
To5sobtain5sadequate5shistory,5sproviders5smust5sbe5swell5sorganized,5sattentive5sto5sthe5spatient’s5sver
bal5sand5n
s onverbal5slanguage,5sand5sable5sto5saccurately5sinterpret5sthe5spatient’s5sresponses5sto5squ
estions.5sRather5sthan5sreading5sinto5sthe5spatient’s5sstatements,5sthey5sclarify5sany5sareas5sof5suncert
ainty.
PTS: 1
3. ANS:5 s C
Vital5ssigns5sare5spart5sof5sthe5sphysical5sexamination5sportion5sof5spatient5sassessment,5snot5spart5sof5sthe5s
health5hs istory.
PTS: 1
4. ANS:5 s D
While5sperforming5sthe5sphysical5sexamination,5sthe5sexaminer5smust5sbe5sable5sto5sdifferentiate5sbet
ween5n s ormal5sand5sabnormal5sfindings,5srecall5sknowledge5sof5sa5srange5sof5sconditions,5sincluding5st
heir5sassociated5ssigns5sand5ssymptoms,5srecognize5show5scertain5sconditions5saffect5sthe5sresponse5
sto5sother5sconditions,5sand5sdistinguish5sthe5srelevance5s of5svaried5sabnormal5sfindings.
PTS: 1
5. ANS:5 s C
Sources5sfor5sdiagnostic5sstatistics5sinclude5stextbooks,5sprimary5sreports5sof5sresearch,5sand5spublis
hed5smeta-
analyses.5sAnother5ssource5sof5sstatistics,5sthe5sone5sthat5shas5sbeen5smost5swidely5sused5sand5savail
able5sfor5sapplication5sto5sthe5sreasoning5sprocess,5sis5sthe5sestimation5sbased5son5sa5sprovider’s5sex
perience,5salthough5sthese5sare5srarely5saccurate.5sOver5sthe5spast5sdecade,5sthe5savailability5sof5sevi
dence5son5swhich5sto5sbase5sclinical5sreasoning5sis5simproving,5sand5sthere5sis5san5sincreasing5sexpect
ation5sthat5sclinical5sreasoning5b
s e5sbased5son5sscientific5sevidence.5sEvidence-
based5sstatistics5sare5salso5sincreasingly5sbeing5sused5sto5sdevelop5sresources5sto5sfacilitate5sclinical5s
decision-making.
PTS: 1
6. ANS:5 s D
To5sassist5sin5sclinical5sdecision-making,5sa5snumber5sof5sevidence-
based5sresources5shave5sbeen5sdeveloped5ts o5sassist5sthe5sclinician.5sResources,5ssuch5sas5salgorithms5s
and5sclinical5spractice5sguidelines,5sassist5sin5sclinical5sreasoning5swhen5sproperly5sapplied.
Downloaded5sby:5sStuviaaa5s|5sessayguruh@gmail.
com
Distribution5sof5sthis5sdocument5sis5sillegal
