Lecture 26 - Information Bias Flashcards
Why is systematic error important in research?
- Critically appraising scientific literature
- In evidence-based practice
- Considering studies reported in the media
- Undertaking research
How can selection and information bias can be controlled?
The can only be controlled during the design and data collection phases of study.
- Identify potential sources of bias
- Identify ways to minimise bias
What is Information bias?
Information bias occurs when the are systematic differences in how data on exposure or outcome are collected from various study groups
How is data typically collected in a study
- By participants e.g. self report
- Collected or measured by someone else
How can measurement error occur
- Participants may provide inaccurate responses (e.g. past exposures or under or over estimate of their exposure)
- Data collection methods may be flawed (e.g. incorrect measurement or inconsistent procedures)
Effect of measurement error in descriptive study?
It could leat to an overestimation or underestimation of prevalence
Measurement error
Measurement error can be random or systematic
Effect of measurement error in analytic study
- can lead misclassification
people without the exposure may be classified as having the exposure and vice versa
Two types of misclassification
- Non-differential misclassification
- Differential misclassification
What is non-differential misclassification
It occurs when misclassification of exposure or outcome happens equally in all study groups
Different misclassification
It occurs when misclassification of exposure or outcome happens differently between study groups
Examples of differential misclassification
- In a cross sectional study, people with the outcome might report exposure differently to those without the outcome
What is recall bias
Systematic error due to differences in accuracy or completeness of recall to memory of past events or experiences
Minimising recall bias
- Objective measures
- Validate self-reported measures with other information
- Memory aids
Minimising interviewer/observer bias
- Clearly defined study protocol and measure
- Structure questionnaire and standard prompts
- Training of interviewers
- Blinding