front 1 WHy patients seek or not healthcare? | back 1
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front 2 Patient perception | back 2
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front 3 Perception of threat | back 3
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front 4 Outcome measures types | back 4
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front 5 Outcome measures types: Self-report | back 5
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front 6 Outcome measures types: Performance | back 6
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front 7 Levels of measurements: 2 categories | back 7 qualitative & quantitative |
front 8 Levels of measurements: 4 types | back 8
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front 9 Psychometrics | back 9 intrinsic components of a test that reveal |
front 10 Psychometrics: Validity | back 10 they measure what they are intended to measure |
front 11 Psychometrics: Reliability | back 11 they are stable over time (repeatable) |
front 12 Psychometrics: Responsiveness | back 12 they can detect changes over time |
front 13 • LR = 1 | back 13 no change in probability, the test is useless |
front 14 LR = 2 • LR = 5 • LR = 10 | back 14
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front 15 LR = .5 • LR = .2 • LR = .1 | back 15
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front 16 +LR | back 16 |
front 17 -LR | back 17 |
front 18 Positive Predictive Value (PPV) | back 18 • The proportion of those with a positive test that have the disease |
front 19 Negative Predictive Value (NPV) | back 19 The proportion of those with a negative test that do not have the disease |
front 20 Sensitivity: | back 20 Proportion of people with a disease that have a positive test |
front 21 Specificity | back 21 Proportion of people without a disease that have a negative test |
front 22 Validity | back 22
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front 23 Reliability | back 23
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front 24 Construct Validity | back 24
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front 25 Discriminant Validity—Tests the hypothesis that the tool is not improperly | back 25
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front 26 Cross-Cultural | back 26
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front 27 Types of Validity | back 27
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