ADVANCED ASSESSMENT: INTERPRETING FINDINGS AND FORMULATING DIFFERENTIAL DIAGNOSES 5th Edition by Goolsby test bank is not a book but rather exam practice questions and answers

Test Bank for Advanced Assessment: Interpreting Findings
pv pv pv pv pv pv pv




and Formulating Differential Diagnoses, 5th Edition, Mary Jo
pv pv pv pv pv pv pv v
p




Goolsby, Laurie GrubbsChapter 1 - 22 | Complete
pv pv v
p pv pv pv pv pv

,Chapter 1. Assessment and Clinical Decision-Making: Overview
pv pv pv pv pv pv




Multiple Choice
pv


Identify the choice that best completes the statement or answers the question.
pv pv pv pv pv pv pv pv pv pv pv




pv 1. Which type of clinical decision-making is most reliable?
pv pv pv pv pv pv pv


A. Intuitive
B. Analytical
C. Experiential
D. Augenblick

pv 2. Which of the following is false? To obtain adequate history, health-care providers must be:
pv pv pv pv pv pv pv pv pv pv pv pv pv


A. Methodical and systematic pv pv


B. Attentive to the patient’s verbal and nonverbal language pv pv pv pv pv pv pv


C. Able to accurately interpret the patient’s responses
pv pv pv pv pv pv


D. Adept at reading into the patient’s statements
pv pv pv pv pv pv




Essential parts of a health history include all of the following except:
pv pv pv pv pv pv pv pv pv pv pv

pv 3. A. Chief complaint pv


B. History of the present illness pv pv pv pv


C. Current vital signs pv pv


D. All of the above are essential history components
pv pv pv pv pv pv pv




Which of the following is false? While performing the physical examination, the examiner must
pv pv pv pv pv pv pv pv pv pv pv pv pv


pv 4. beable to:
pv vp pv


A. Differentiate between normal and abnormal findings pv pv pv pv pv


B. Recall knowledge of a range of conditions and their associated signs and symptoms
pv pv pv pv pv pv pv pv pv pv pv pv


C. Recognize how certain conditions affect the response to other conditions
pv pv pv pv pv pv pv pv pv


D. Foresee unpredictable findings pv pv




The following is the least reliable source of information for diagnostic statistics:
pv pv pv pv pv pv pv pv pv pv pv


pv 5. A. Evidence-based investigations pv


B. Primary reports of research pv pv pv


C. Estimation based on a provider’s experience pv pv pv pv pv


D. Published meta-analyses pv




The following can be used to assist in sound clinical decision-making:
pv pv pv pv pv pv pv pv pv pv



pv 6. A. Algorithm published in a peer-reviewed journal article pv pv pv pv pv pv


B. Clinical practice guidelines pv pv


C. Evidence-based research pv


D. All of the above pv pv pv




If a diagnostic study has high sensitivity, this indicates a:
pv pv pv pv pv pv pv pv pv


A. High percentage of persons with the given condition will have an abnormal result
pv pv pv pv pv pv pv pv pv pv pv pv

pv 7. B. Low percentage of persons with the given condition will have an abnormal result
pv pv pv pv pv pv pv pv pv pv pv pv


C. Low likelihood of normal result in persons without a given condition
pv pv pv pv pv pv pv pv pv pv


D. None of the above pv pv pv

,pv 8. If a diagnostic study has high specificity, this indicates a:
pv pv pv pv pv pv pv pv pv


A. Low percentage of healthy individuals will show a normal result
pv pv pv pv pv pv pv pv pv


B. High percentage of healthy individuals will show a normal result
pv pv pv pv pv pv pv pv pv


C. High percentage of individuals with a disorder will show a normal result
pv pv pv pv pv pv pv pv pv pv pv


D. Low percentage of individuals with a disorder will show an abnormal result
pv pv pv pv pv pv pv pv pv pv pv




pv 9. A likelihood ratio above 1 indicates that a diagnostic test showing a:
pv pv pv pv pv pv pv pv pv pv pv


A. Positive result is strongly associated with the disease
pv pv pv pv pv pv pv


B. Negative result is strongly associated with absence of the disease
pv pv pv pv pv pv pv pv pv


C. Positive result is weakly associated with the disease
pv pv pv pv pv pv pv


D. Negative result is weakly associated with absence of the disease
pv pv pv pv pv pv pv pv pv




pv pvpvp v 10. Which of the following clinical reasoning tools is defined as evidence-
pv pv pv pv pv pv pv pv pv pv pv


based resource based on mathematical modeling to express the likelihood of a condition in sel
pv pv pv pv pv pv pv pv pv pv pv pv pv pv


ect situations, settings, and/orpatients?
pv pv pv vp


A. Clinical practice guidelin pv pv


B. eClinical decision rule Cl
v
p pv pv pv


C. inical algorithm Clinicalpv pv pv


D. recommendation

, Chapter 1. Assessment and Clinical Decision-
pv pv pv pv pv


Answer Section
Making: Overview
pv pv




MULTIPLE CHOICE
pv




1. ANS: B p v


Croskerry (2009) describes two major types of clinical diagnostic decision-
pv pv pv pv pv pv pv pv pv


making: intuitive and analytical. Intuitive decision-making (similar to Augenblink decision-
pv pv pv pv pv pv pv pv pv


making) is based on the experience and intuition of the clinician and is less reliable and paire
pv pv pv pv pv pv pv pv pv pv pv pv pv pv pv pv


d with fairly common errors. In contrast, analytical decision-
pv pv pv pv pv pv pv pv


making is based on careful consideration and has greater reliabilitywith rare errors.
pv pv pv pv pv pv pv pv pv vp pv pv




PTS: 1
2. ANS: D p v


To obtain adequate history, providers must be well organized, attentive to the patient’s verbal
pv pv pv pv pv pv pv pv pv pv pv pv pv pv


andnonverbal language, and able to accurately interpret the patient’s responses to questions.
vp pv pv pv pv pv pv pv pv pv pv pv p


Rather than reading into the patient’s statements, they clarify any areas of uncertainty.
v pv pv pv pv pv pv pv pv pv pv pv pv




PTS: 1
3. ANS: C p v


Vital signs are part of the physical examination portion of patient assessment, not part of the healt
pv pv pv pv pv pv pv pv pv pv pv pv pv pv pv pv


hhistory. vp




PTS: 1
4. ANS: D p v


While performing the physical examination, the examiner must be able to differentiate betwee
pv pv pv pv pv pv pv pv pv pv pv pv


nnormal and abnormal findings, recall knowledge of a range of conditions, including their ass
vp pv pv pv pv pv pv pv pv pv pv pv pv pv


ociated signs and symptoms, recognize how certain conditions affect the response to other c
pv pv pv pv pv pv pv pv pv pv pv pv pv


onditions, and distinguish the relevance of varied abnormal findings.
pv pv pv pv pv pv pv pv




PTS: 1
5. ANS: C p v


Sources for diagnostic statistics include textbooks, primary reports of research, and publishe
pv pv pv pv pv pv pv pv pv pv pv


d meta- pv


analyses. Another source of statistics, the one that has been most widely used and available
pv pv pv pv pv pv pv pv pv pv pv pv pv pv p


for application to the reasoning process, is the estimation based on a provider’s experience,
v pv pv pv pv pv pv pv pv pv pv pv pv pv p


although these are rarely accurate. Over the past decade, the availability of evidence on whi
v pv pv pv pv pv pv pv pv pv pv pv pv pv pv


ch to base clinical reasoning is improving, and there is an increasing expectation that clinical
pv pv pv pv pv pv pv pv pv pv pv pv pv pv pv


reasoningbe based on scientific evidence. Evidence- vp pv pv pv pv pv


based statistics are also increasingly being used to develop resources to facilitate clinical dec
pv pv pv pv pv pv pv pv pv pv pv pv pv


ision-making.

PTS: 1
6. ANS: D p v


To assist in clinical decision-making, a number of evidence-
pv pv pv pv pv pv pv pv


based resources have been developedto assist the clinician. Resources, such as algorithms and
pv pv pv pv vp pv pv pv pv pv pv pv pv


clinical practice guidelines, assist in clinical reasoning when properly applied.
pv pv pv pv pv pv pv pv pv pv




Downloadedpvby:pvStuviaaapv|
m

Distributionpvofpvthispvdocumentpvispvillegal