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Outcome Assessment: Are We Measuring What We Think We Are? in partnership with NAL

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1.  Which of the following is NOT an important consideration for outcomes assessment?
  1. When to measure an outcome.
  2. How to measure an outcome.
  3. Who is easy to measure outcomes in.
  4. Which outcome to measure.
2.  When it comes to selecting which outcomes to assess, what does bias refer to?
  1. Scoring the patient/client to high on an assessment
  2. Deciding on the patient/client score before measuring it
  3. Scoring the patient/client to low on an assessment
  4. Not measuring or reporting some important outcomes
3.  A valid outcome measure is one where:
  1. There is evidence that it measures what we think it does.
  2. Lots of people use the measure.
  3. It has been used for a long time.
  4. It has been tested out and approved by clinicians.
4.  What is meaningful change on an outcome measure?
  1. Any change that can be detected reliably
  2. The size of change that is reported in scientific publications
  3. Any change that can be perceived by patients/clients
  4. A change that is big enough to justify the cost of an intervention
5.  Why is it useful to repeat outcome assessments after a short period of time?
  1. It tells us if we made a mistake with the first measurement
  2. It tells us about how reliable the measurement is
  3. It tells us if we should use different measurement tools
  4. It tells us if the intervention has worked

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