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Pytanie 1 z 8

A model with 90 percent sensitivity and specificity is applied where 100 of 100,000 patients attempt suicide. Roughly what share of flagged patients will actually attempt?

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  1. A model with 90 percent sensitivity and specificity is applied where 100 of 100,000 patients attempt suicide. Roughly what share of flagged patients will actually attempt?
    • About 90 percent
    • Około 50 proc
    • Under 1 percent
    • About 10 percent
  2. According to the guide, what are suicide risk models best understood as?
    • Tools that identify who will die by suicide
    • Tools for prioritizing limited clinical attention
    • Replacements for clinical assessment
    • Legal evidence for involuntary commitment
  3. Roughly what share of risk scores does the VA's REACH VET program flag for review?
    • The top 50 percent
    • The top 10 percent
    • The top 0.1 percent
    • Every veteran with a mental health diagnosis
  4. Why do health systems often set flagging thresholds by capacity?
    • So they flag only as many patients as staff can meaningfully contact
    • Because regulators require exactly 100 flags per month
    • To maximize the number of false positives
    • Because the models cannot produce scores below a set value
  5. Which response to a risk flag fits the ethical practice described in the guide?
    • Sharing the flag with the patient's employer
    • Voluntary outreach, safety planning and discussing safe storage of lethal means
    • Automatically canceling the patient's firearm license
    • Not telling the patient or clinician anything
  6. What does calibration mean for a suicide risk model?
    • Jak szybko działa model
    • Whether predicted risk levels match observed rates, such as a 2 percent prediction corresponding to about 2 percent observed
    • Whether the model ranks patients in order
    • How many variables the model uses
  7. Why do these models need periodic revalidation?
    • Changes in coding practice, screening workflows or care patterns can quietly degrade performance
    • Software licenses expire yearly
    • Patients' names change
    • Revalidation increases the base rate of suicide
  8. Which kind of evidence does the guide describe as strongest for these programs?
    • High retrospective accuracy on historical records
    • Materiały marketingowe dostawcy
    • Prospective evaluation showing that flag-triggered outreach reduces attempts
    • A large number of input variables