Lower Extremities // Lecture 2 (Exam #1) Flashcards


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1

WHy patients seek or not healthcare?

  • pain
  • symptoms
  • concerns/fear
  • cost
  • acess/ease of use
  • previous experience with healthcare
  • to be heard/cared for

2

Patient perception

  • Perceived susceptibility
  • Perceived benefit to taking action vs. Perceived barriers to taking
    action
  • Perceived seriousness

3

Perception of threat

  • Physical harm?
  • Pain?
  • Disability?
  • identity

4

Outcome measures types

  1. Self-report measures
  2. Performance-based measures
  3. Observer-reported measures => parent or caregiver
  4. Clinician-reported measures =>HCP fills out

5

Outcome measures types: Self-report

  • often called patient-reported outcomes, PROs
  • Typically questionnaires
  • Can be disease-specific or generic
    • Disease, example: the Knee Outcome Survey (KOS)
  • Generic: Lower Extremity Functional Scale [kind of] (LEFs), QoL scales, GROC, SF-12
  • Goal: patient beliefs, social factors, health factors

6

Outcome measures types: Performance

  • Objective measurements (scores) or qualitative (quality of a movement)
  • Goal: physiologic factors

7

Levels of measurements: 2 categories

qualitative & quantitative

8

Levels of measurements: 4 types

  • Nominal
  • Ordinal
  • Interval
  • Ratio

9

Psychometrics

intrinsic components of a test that reveal
information about a test's adequacy, relevance, and usefulness

10

Psychometrics: Validity

they measure what they are intended to measure

11

Psychometrics: Reliability

they are stable over time (repeatable)

12

Psychometrics: Responsiveness

they can detect changes over time

13

• LR = 1

no change in probability, the test is useless

14

LR = 2

• LR = 5

• LR = 10

  • ~15% increase in probability = small amount
  • ~30% = moderate amount
  • ~45% = pretty high!

15

LR = .5

• LR = .2

• LR = .1

  • ~15% decrease
  • ~30% decrease
  • ~45% decrease

16

+LR

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17

-LR

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18

Positive Predictive Value (PPV)

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• The proportion of those with a positive test that have the disease

19

Negative Predictive Value (NPV)

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The proportion of those with a negative test that do not have the disease

20

Sensitivity:

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Proportion of people with a disease that have a positive test

21

Specificity

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Proportion of people without a disease that have a negative test

22

Validity

  • The ability of the tool to measure what it is intended to measure
  • It implies that a tool must be relatively free from error (i.e. reliable)

23

Reliability

  • The extent to which a measurement is consistent and free from error
    • i.e. reproducibility or dependability of a measurement

24

Construct Validity

  • The degree to which the scores of a tool are consistent with
    hypotheses based on the abstract concept (does it measure the theoretical component of the construct or variable?)

25

Discriminant Validity—Tests the hypothesis that the tool is not improperly

  • Tests the hypothesis that the tool is not improperly

26

Cross-Cultural

  • The degree to which a culturally adapted tool is equivalent to

27

Types of Validity

  1. Content Validity
  2. Construct Validity
  3. Discriminant Validity
  4. Criterion (-based) Validity
  5. Concurrent Validity
  6. Predictive Validity
  7. Cross-Cultural