Lecture 3 - Data collection and health outcomes Flashcards
what is the type of health outcomes?
Record- based outcomes
Biological/clinical outcomes
Clinician/ patient- reported outcomes (PROs)
What are types of record- based outcomes?
- Mortality
- Disease incidence
What are types of biological/clinical outcomes?
Lab results
BMI
Blood pressure
What are types of clinician/ patients- reported outcomes?
Symptom scores
Health-related quality of life
What are health outcomes?
the impacts that healthcare activities have on people
What are the 3 types of validity?
- construct
- content validity
- face falidity
What is validity ask us to consider?
does the outcome measure what it is supposed to measure
What does construct validity ask us to consider?
Construct validity is about how well a test measures the concept it was designed to evaluate
are the constructs that should be related indeed related (convergent) and does it measure what it shouldn’t (discriminant) ?
What are the 2 types of construct validity
- Convergent validity
- Discriminant validity
What is convergent validity?
Convergent validity: The extent to which your measure corresponds to measures of related constructs
What is discriminant validity?
The extent to which your measure is unrelated or negatively related to measures of distinct constructs
What does content validity ask us to consider?
if the outcome measures all facets of a given construct
What does face validity ask us to consider?
does the outcome appear to measure what it should measure?
What are the two types of reliability?
1) test-retest reliability
2) inter-rate reliability
What is test-retest reliability?
the consistency of measures when the same test is administered to the same person twice
What is inter-rater reliability?
degree of agreement among raters (when different assessors perform the test)
What level of responsiveness should be used in data collection?
the outcome should be able to detect real changes when they occur
Give 4 uses of health outcomes:
1) clinical trials
2) to identify health gaps to promote equality
3) to identify which Trusts/ regions are more effective to promote quality improvement at a local level
4) to set performance targets and monitor these over time
Give 5 common issues seen in data collection:
1) Response shift
2) differential item functioning
3) selection bias
4) varied timing of assessment
5) missing data
Describe the issue of response shift found in data collection:
different individuals have different interpretations of situations which could affect the way the answer questionnaires
Describe the use with differential item functioning in data collection:
language, culture, age, gender and treatment may affect responses to questionnaires
Describe the issue of selection bias in data collection:
‘good’ patients can be overrepresented
Describe the issue with timing of assessments when collecting data:
the time at which patients are asked to complete questionnaires may affect their responses
Describe the issue with missing data when analysing data:
people who die or drop out may mean those with a better prognosis will be better represented