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NSG 550 Exam 3 – Wilkes Diagnostic Reasoning
QUESTIONS AND DETAILED SOLUTIONS JUST
RELEASED
NSG 550 Exam 3 – Wilkes Diagnostic Reasoning (Complete testbank Questions)
Exam Coverage Areas (Most Tested Topics)
1. Clinical Reasoning & Cognitive Biases (Type 1 vs. Type 2 reasoning, anchoring, availability heuristic,
premature closure, confirmation bias, diagnostic errors)
2. Test Characteristics & Bayesian Reasoning (Sensitivity, specificity, PPV, NPV, likelihood ratios, pre-test
probability, SnNout/SpPin rules)
3. Musculoskeletal Diagnostics (X-ray, CT, MRI indications, fracture detection, back pain evaluation, red
flags for cauda equina, DXA scanning)
4. Infectious Disease Diagnostics (TB testing, sputum cultures, AFB, serologic testing, antibiotic
sensitivity, PCR, antigen testing)
5. Hematologic Diagnostics (CBC interpretation, anemia workup, coagulation studies, tumor markers,
bone marrow biopsy)
6. Cardiovascular Diagnostics (ECG, cardiac biomarkers, stress testing, vascular studies, carotid duplex,
echocardiography, ABI)
7. Pulmonary Diagnostics (CXR, CT chest, PFTs, D-dimer, VQ scan, alpha-1 antitrypsin, bronchoscopy,
polysomnography)
8. Gastrointestinal & Hepatobiliary (Liver function tests, lipase/amylase, H. pylori testing, CT abdomen,
KUB, ERCP, fecal occult blood)
9. Endocrine & Renal Diagnostics (Thyroid function, HbA1c, microalbuminuria, BUN/creatinine, calcium
metabolism, cortisol, aldosterone)
10. Diagnostic Imaging Principles (MRI safety, contrast indications, radiation exposure, test selection
strategies, evidence-based imaging)
Question 1: A nurse practitioner enters a patient's room and within seconds determines that the patient
appears acutely ill and requires immediate intervention; this rapid assessment best exemplifies which
type of clinical reasoning process according to the dual-process model?
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A) Type 2 analytical reasoning involving systematic data collection
B) Type 1 intuitive reasoning that is rapid and pattern-based
C) Bayesian reasoning that incorporates pre-test probability
D) Hypothetico-deductive reasoning with sequential hypothesis testing
Answer: B
Rationale: Type 1 (intuitive) reasoning is rapid, subconscious, and pattern-based; recognizing "sick vs.
not sick" within seconds of entering a patient's room is a hallmark of intuitive processing . Options A, C,
and D involve deliberate, analytical (Type 2) reasoning.
---
Question 2: A 45-year-old patient presents with epigastric pain, and the nurse practitioner generates a
differential diagnosis that includes GERD, peptic ulcer disease, biliary colic, and cardiac ischemia; this list
of potential diagnoses is best described as which of the following?
A) Working diagnosis based on the most likely condition
B) Anatomical differential organized by organ system
C) Exhaustive differential including all reasonable possibilities
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D) Pathophysiologic cascade of disease progression
Answer: C
Rationale: An exhaustive differential includes all reasonable possibilities before narrowing to the most
likely diagnosis; the working diagnosis is the most likely after reasoning, and an anatomical differential
organizes by organ system .
---
Question 3: The sensitivity of a diagnostic test refers to its ability to accomplish which of the following
clinical objectives when evaluating patients for a specific disease?
A) Correctly identify those without the disease (true negative rate)
B) Correctly identify those with the disease (true positive rate)
C) Produce the same result on repeated testing (reliability)
D) Predict the probability of disease after a positive result
Answer: B
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Rationale: Sensitivity = True Positives / (True Positives + False Negatives); high sensitivity rules out
disease when negative (SnNout). Specificity (option A) is the true negative rate and rules in disease
when positive (SpPin) .
---
Question 4: A diagnostic test with 95% specificity is used in a low-prevalence population; a positive
result in this context most likely indicates which of the following?
A) High positive predictive value (PPV)
B) Low positive predictive value (PPV)
C) Low negative predictive value (NPV)
D) High likelihood ratio for disease
Answer: B
Rationale: Positive predictive value varies directly with disease prevalence; in low-prevalence
populations, even a highly specific test yields many false positives, resulting in low PPV. Likelihood ratios
are less affected by prevalence than predictive values .
NSG 550 Exam 3 – Wilkes Diagnostic Reasoning
QUESTIONS AND DETAILED SOLUTIONS JUST
RELEASED
NSG 550 Exam 3 – Wilkes Diagnostic Reasoning (Complete testbank Questions)
Exam Coverage Areas (Most Tested Topics)
1. Clinical Reasoning & Cognitive Biases (Type 1 vs. Type 2 reasoning, anchoring, availability heuristic,
premature closure, confirmation bias, diagnostic errors)
2. Test Characteristics & Bayesian Reasoning (Sensitivity, specificity, PPV, NPV, likelihood ratios, pre-test
probability, SnNout/SpPin rules)
3. Musculoskeletal Diagnostics (X-ray, CT, MRI indications, fracture detection, back pain evaluation, red
flags for cauda equina, DXA scanning)
4. Infectious Disease Diagnostics (TB testing, sputum cultures, AFB, serologic testing, antibiotic
sensitivity, PCR, antigen testing)
5. Hematologic Diagnostics (CBC interpretation, anemia workup, coagulation studies, tumor markers,
bone marrow biopsy)
6. Cardiovascular Diagnostics (ECG, cardiac biomarkers, stress testing, vascular studies, carotid duplex,
echocardiography, ABI)
7. Pulmonary Diagnostics (CXR, CT chest, PFTs, D-dimer, VQ scan, alpha-1 antitrypsin, bronchoscopy,
polysomnography)
8. Gastrointestinal & Hepatobiliary (Liver function tests, lipase/amylase, H. pylori testing, CT abdomen,
KUB, ERCP, fecal occult blood)
9. Endocrine & Renal Diagnostics (Thyroid function, HbA1c, microalbuminuria, BUN/creatinine, calcium
metabolism, cortisol, aldosterone)
10. Diagnostic Imaging Principles (MRI safety, contrast indications, radiation exposure, test selection
strategies, evidence-based imaging)
Question 1: A nurse practitioner enters a patient's room and within seconds determines that the patient
appears acutely ill and requires immediate intervention; this rapid assessment best exemplifies which
type of clinical reasoning process according to the dual-process model?
, Page 2 of 209
A) Type 2 analytical reasoning involving systematic data collection
B) Type 1 intuitive reasoning that is rapid and pattern-based
C) Bayesian reasoning that incorporates pre-test probability
D) Hypothetico-deductive reasoning with sequential hypothesis testing
Answer: B
Rationale: Type 1 (intuitive) reasoning is rapid, subconscious, and pattern-based; recognizing "sick vs.
not sick" within seconds of entering a patient's room is a hallmark of intuitive processing . Options A, C,
and D involve deliberate, analytical (Type 2) reasoning.
---
Question 2: A 45-year-old patient presents with epigastric pain, and the nurse practitioner generates a
differential diagnosis that includes GERD, peptic ulcer disease, biliary colic, and cardiac ischemia; this list
of potential diagnoses is best described as which of the following?
A) Working diagnosis based on the most likely condition
B) Anatomical differential organized by organ system
C) Exhaustive differential including all reasonable possibilities
, Page 3 of 209
D) Pathophysiologic cascade of disease progression
Answer: C
Rationale: An exhaustive differential includes all reasonable possibilities before narrowing to the most
likely diagnosis; the working diagnosis is the most likely after reasoning, and an anatomical differential
organizes by organ system .
---
Question 3: The sensitivity of a diagnostic test refers to its ability to accomplish which of the following
clinical objectives when evaluating patients for a specific disease?
A) Correctly identify those without the disease (true negative rate)
B) Correctly identify those with the disease (true positive rate)
C) Produce the same result on repeated testing (reliability)
D) Predict the probability of disease after a positive result
Answer: B
, Page 4 of 209
Rationale: Sensitivity = True Positives / (True Positives + False Negatives); high sensitivity rules out
disease when negative (SnNout). Specificity (option A) is the true negative rate and rules in disease
when positive (SpPin) .
---
Question 4: A diagnostic test with 95% specificity is used in a low-prevalence population; a positive
result in this context most likely indicates which of the following?
A) High positive predictive value (PPV)
B) Low positive predictive value (PPV)
C) Low negative predictive value (NPV)
D) High likelihood ratio for disease
Answer: B
Rationale: Positive predictive value varies directly with disease prevalence; in low-prevalence
populations, even a highly specific test yields many false positives, resulting in low PPV. Likelihood ratios
are less affected by prevalence than predictive values .
