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Zorluk: OrtaHuman Factors and Cognitive Biases

A 42-year-old man is evaluated in the ambulatory clinic for persistent fatigue, unintentional weight loss, and occasional palpitations over the past three months. Upon entering the examination room, the physician notices the patient appears remarkably anxious and has a fine resting tremor of the hands. The physician immediately forms a leading hypothesis of hyperthyroidism. A comprehensive metabolic panel and a complete blood count are ordered, but the physician specifically adds a thyroid-stimulating hormone (TSH) level and free T4. The TSH and free T4 results return entirely within normal limits.

Despite these reassuring laboratory findings, the physician believes the results might represent early or fluctuating thyroid disease. The physician refers the patient to an endocrinologist for a radioactive iodine uptake scan, while completely omitting an evaluation of the patient's newly mentioned symptoms of excessive thirst and frequent urination. A fasting blood glucose is not ordered, delaying the ultimate diagnosis of new-onset diabetes mellitus.

Which of the following cognitive biases best describes the physician's selective interpretation of the data and persistence in pursuing the initial hypothesis?

  1. A
    Anchoring bias
  2. B
    Availability heuristic
  3. C
    Framing effect
  4. Confirmation biasCevap
  5. E
    Premature closure

Cevap

Confirmation bias
Confirmation bias occurs when a clinician selectively gathers, interprets, or remembers information in a way that confirms their preexisting hypothesis while ignoring or downplaying contradictory evidence. In this vignette, the physician fixates on the initial suspicion of hyperthyroidism, actively dismisses the objective normal thyroid function tests by rationalizing them as 'fluctuating' disease, and ignores classic symptoms of diabetes mellitus (polydipsia, polyuria) that do not fit the original hypothesis. The physician's decision to order an advanced confirmatory test (radioactive iodine scan) while neglecting basic tests for alternative diagnoses (fasting glucose) is the hallmark of confirmation bias.

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1
Identify the physician's initial clinical hypothesis.
The physician strongly suspected hyperthyroidism based on the patient's anxiety and resting tremor.
Establishing the baseline diagnostic assumption is necessary to evaluate subsequent cognitive errors.
2
Evaluate the physician's response to new, objective data.
The physician rationalized the normal TSH and free T4 results as 'fluctuating disease' instead of using them to rule out the condition.
This demonstrates the active dismissal of contradictory evidence.
3
Analyze the physician's subsequent diagnostic actions.
The physician ordered an advanced confirming test (iodine scan) while ignoring new symptoms (polyuria and polydipsia) that strongly pointed to an alternative diagnosis (diabetes mellitus).
This determines the specific pattern of the cognitive error: actively seeking confirming data while ignoring refuting data.
4
Map the observed clinical behavior to the correct cognitive bias.
The pattern of selectively gathering and interpreting data to support a preexisting belief perfectly describes confirmation bias.
Differentiating confirmation bias from other errors like premature closure or anchoring requires identifying this selective interpretation.

Anahtar Kavram

Confirmation bias occurs when a clinician selectively gathers, interprets, or remembers information in a way that confirms their preexisting hypothesis while ignoring or downplaying contradictory evidence.
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Human Factors and Cognitive Biases

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