Chapter 6-8: ICF model and Outcome measures

Question 1

importance of ICF model

Answer 1

use to establish a common language to improve the communication between stakeholders

• uses everyday terms to facilitate communication
• enhance individual opportunities for collaboration
• supports in identification of overlaps, redundancies

Question 2

what are the aims of ICF?

Answer 2

• provide a scientific basis for understanding and studying health
• establish common language
• permit comparison of data across countries
• provide systematic coding scheme for health information

Question 3

ICF has been used as a model for_____?

Answer 3

1. developing questions for disability
2. improving comparability of data
3. developing appropriate tools
4. improve data collection on disability
5. collect national population consensus data

Question 4

what are the psychometric properties of outcome measures

Answer 4

reliability
validity
responsiveness to change
MCID

Question 5

What are the types of reliability?

what are the range of correlation?

Answer 5

Intra-rater: extent which test produces similar result when used by the same assessor
inter-rater: extent which test produces similar results when used by different assessors

Excellent: >0.75
Adequate: 0.4-0.75
Poor: <0.4

Question 6

what are the types of validity?

what are the range of correlation?

Answer 6

Criterion: extent to which the tests produced similar results to the gold standard
Construct: extent to which the tests produced similar results to another test that measures similar outcomes

excellent: >0.6
Adequate: 0.31-5.9
poor: <0.3

Question 7

range of ESs/SRMs to determine small to large responsiveness to test?

Answer 7

Large: >0.8
moderate: 0.5-0.8
Small: <0.5

Question 8

determination of floor/ceiling effects

Answer 8

excellent: none
adequate <20% of patients
poor: >20% of patients

Question 9

what is RC?

Answer 9

extent to which the test detects clinically important changes over time

Question 10

what is the floor effect? what is the ceiling effect?

Answer 10

floor: when data can no longer take a value lower that the lowest score in the test (patient’s decline may not be registered as a change in score)
ceiling: when data can no longer take a value higher than the highest score in the test (patient’s improving –> their clinical improvement may not register as change in score)