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  • 21 de septiembre de 2024
  • 256
  • 2024/2025
  • Examen
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  • 6th edition
  • advanced health assessment clinical diagnosis
  • full test bank all chapters complete 100 correct
  • advanced health assessment
  • clinical diagnosis in primary care 6th edition

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lOMoARcPSD| 126




q




TEST qBANK qFOR qADVANCED qHEALTH qASSESSMENT q&
qCLINICAL qDIAGNOSIS qIN qPRIMARYCARE q6TH


qEDITION qDAINS qISBN: q9780323594554



This qTest qBank qis qDirectly qfrom qThe

q Publisher qHas qAll qChapters qWith q100%

Correct qAnswers qINSTANT qDOWNLOAD
q

, lOMoARcPSD| 126




q




Test qBank qfor qAdvanced qHealth qAssessment q& qClinical qDiagnosis qin qPrimary
qCare q6th qEdition qDains



Chapter q1: qClinical qReasoning, qDifferential qDiagnosis, qEvidence-Based qPractice, qand qSymptom qAnalysis

qMultiple qChoice
Identify qthe qchoice qthat qbest qcompletes qthe qstatement qor qanswers qthe qquestion.
1. Which qtype qof qclinical qdecision-making qis qmost qreliable?
A. Intuitive
B. Analytical
C. Experiential
D. Augenblick

2. Which qof qthe qfollowing qis qfalse? qTo qobtain qadequate qhistory, qhealth-care qproviders qmust qbe:
A. Methodical qand qsystematic
B. Attentive qto qthe qpatient‘s qverbal qand qnonverbal
qlanguage
C. Able qto qaccurately qinterpret qthe qpatient‘s qresponses
D. Adept qat qreading qinto qthe qpatient‘s qstatements

3. Essential qparts qof qa qhealth qhistory qinclude qall qof qthe qfollowing qexcept:
A. Chief qcomplaint
B. History qof qthe qpresent qillness
C. Current qvital qsigns
D. All qof qthe qabove qare qessential qhistory
qcomponents

4. Which qof qthe qfollowing qis qfalse? qWhile qperforming qthe qphysical qexamination, qthe qexaminer qmust qbe qable qto:
A. Differentiate qbetween qnormal qand qabnormal qfindings
B. Recall qknowledge qof qa qrange qof qconditions qand qtheir qassociated qsigns qand
qsymptoms
C. Recognize qhow qcertain qconditions qaffect qthe qresponse qto qother qconditions
D. Foresee qunpredictable q findings

5. The qfollowing qis qthe qleast qreliable qsource qof qinformation qfor qdiagnostic qstatistics:
A. Evidence-based q investigations
B. Primary qreports qof qresearch
C. Estimation qbased qon qa qprovider‘s
qexperience
D. Published q meta-analyses

6. The qfollowing qcan qbe qused qto qassist qin qsound qclinical qdecision-making:
A. Algorithm qpublished qin qa qpeer-reviewed qjournal
qarticle
B. Clinical qpractice qguidelines
C. Evidence-based q research
D. All qof qthe qabove

7. If qa qdiagnostic qstudy qhas qhigh qsensitivity, q this qindicates qa:
A. High qpercentage qof qpersons qwith qthe qgiven qcondition qwill qhave qan
qabnormal qresult
B. Low qpercentage qof qpersons qwith qthe qgiven qcondition qwill qhave qan
qabnormal qresult
C. Low qlikelihood qof qnormal qresult qin qpersons qwithout qa qgiven qcondition
D. None qof qthe qabove

8. If qa qdiagnostic qstudy qhas qhigh qspecificity, q this qindicates qa:
A. Low qpercentage qof qhealthy qindividuals qwill qshow qa qnormal qresult
B. High qpercentage qof qhealthy qindividuals qwill qshow qa qnormal qresult
C. High qpercentage qof qindividuals qwith qa qdisorder qwill qshow qa qnormal
qresult
D. Low qpercentage qof qindividuals qwith qa qdisorder qwill qshow qan
qabnormal qresult

9. A qlikelihood qratio qabove q1 qindicates qthat qa qdiagnostic qtest qshowing qa:
A. Positive qresult qis qstrongly qassociated qwith qthe qdisease
B. Negative qresult qis qstrongly qassociated qwith qabsence qof qthe
qdisease
C. Positive qresult qis qweakly qassociated qwith qthe qdisease
D. Negative qresult qis qweakly qassociated qwith qabsence qof qthe
qdisease

10. Which qof qthe qfollowing qclinical qreasoning qtools qis qdefined qas qevidence-based qresource qbased qon

, lOMoARcPSD| 126




qmathematical qmodeling qto qexpress qthe qlikelihood qof qaqqcondition qin qselect qsituations, qsettings, qand/or qpatients?

, lOMoARcPSD| 126




q




A. Clinical qpractice
qguideline
B. Clinical qdecision qrule
C. Clinical qalgorithm
Chapter q1: qClinical qreasoning, qdifferential qdiagnosis, qevidence-based qpractice, qand qsymptom qana
Answer qSection

MULTIPLE qCHOICE

1. ANS: B
Croskerry q(2009) qdescribes qtwo qmajor qtypes qof qclinical qdiagnostic qdecision-making: qintuitive qand qanalytical.
qIntuitive qdecision- qmaking q(similar qto qAugenblink qdecision-making) qis qbased qon qthe qexperience qand qintuition qof
qthe qclinician qand qis qless qreliable qand qpaired qwith qfairly qcommon qerrors. qIn qcontrast, qanalytical qdecision-making
qis qbased qon qcareful qconsideration qand qhas qgreater qreliability qwith qrare qerrors.

PTS: 1
2. ANS: D
To qobtain qadequate qhistory, qproviders qmust qbe qwell qorganized, qattentive qto qthe qpatient‘s qverbal qand qnonverbal
qlanguage, qand qable qto qaccurately qinterpret qthe qpatient‘s qresponses qto qquestions. qRather qthan qreading qinto qthe
qpatient‘s qstatements, qthey qclarify qany qareas qof quncertainty.

PTS: 1
3. ANS: C
Vital qsigns qare qpart qof qthe qphysical qexamination qportion qof qpatient qassessment, qnot qpart qof qthe qhealth qhistory.

PTS: 1
4. ANS: D
While qperforming qthe qphysical qexamination, qthe qexaminer qmust qbe qable qto qdifferentiate qbetween qnormal qand
qabnormal qfindings, qrecall qknowledge qof qa qrange qof qconditions, qincluding qtheir qassociated qsigns qand qsymptoms,
qrecognize qhow qcertain qconditions qaffect qthe qresponse qto qother qconditions, qand qdistinguish qthe qrelevance qof qvaried
qabnormal qfindings.

PTS: 1
5. ANS: C
Sources qfor qdiagnostic qstatistics qinclude qtextbooks, qprimary qreports qof qresearch, qand qpublished qmeta-analyses.
qAnother qsource qof qstatistics, qthe qone qthat qhas qbeen qmost qwidely qused qand qavailable qfor qapplication qto qthe
qreasoning qprocess, qis qthe qestimation qbased qon qa qprovider‘s qexperience, qalthough qthese qare qrarely qaccurate. qOver
qthe qpast qdecade, qthe qavailability qof qevidence qon qwhich qto qbase qclinical qreasoning qis qimproving, q and qthere qis qan
qincreasing qexpectation qthat qclinical qreasoning qbe qbased qon qscientific qevidence.
Evidence-based qstatistics q are q also qincreasingly qbeing qused qto qdevelop q resources qto qfacilitate q clinical q decision-making.

PTS: 1
6. ANS: D
To qassist qin qclinical qdecision-making, qa qnumber qof qevidence-based qresources qhave qbeen qdeveloped qto qassist qthe
qclinician. qResources, qsuch qas qalgorithms qand qclinical qpractice qguidelines, qassist qin qclinical qreasoning qwhen
qproperly qapplied.

PTS: 1
7. ANS: A
The qsensitivity qof qa qdiagnostic qstudy qis qthe qpercentage qof qindividuals qwith qthe qtarget qcondition qwho qshow qan
qabnormal, qor q positive, qresult. qA qhigh qsensitivity qindicates qthat qa qgreater qpercentage qof qpersons qwith qthe qgiven
qcondition qwill qhave qan qabnormal qresult.

PTS: 1
8. ANS: B
The qspecificity qof qa qdiagnostic qstudy qis qthe qpercentage qof qnormal, qhealthy qindividuals qwho qhave qa qnormal qresult.
qThe qgreater qthe qspecificity, qthe qgreater qthe qpercentage qof qindividuals qwho qwill qhave qnegative, qor qnormal, qresults
qif qthey qdo qnot qhave qthe qtarget qcondition.

PTS: 1
9. ANS: A
The qlikelihood qratio qis qthe qprobability qthat qa qpositive qtest qresult qwill qbe qassociated qwith qa qperson qwho qhas qthe
qtarget qcondition qand qa qnegative qresult qwill qbe qassociated qwith qa qhealthy qperson. qA qlikelihood qratio qabove q1
qindicates qthat qa qpositive qresult qis qassociated qwith qthe qdisease; qa qlikelihood qratio qless qthan q1 qindicates qthat qa
qnegative qresult qis qassociated qwith qan qabsence qof qthe qdisease.

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