Critical Thinking - Lecture Twenty-Six Flashcards
Information Bias
Information bias
The observation or information bias results from systematic differences in the way data on exposure or outcome are obtained from the various study groups
How is data collected in a study?
By participants, collected or measured by someone else
How can measurement error occur
Participants provide inaccurate responses or data is collected incorrectly/inaccurately
What effect might measurement error have in a descriptive study?
Could over/underestimate prevalence
What effect might measurement error have in an analytical study?
People without the exposure may be classified as having the exposure (vice versa)
People without the outcome may be classified as having the outcome (vice versa)
Types of misclassification
Non-differential and differential
Non-differential misclassification
Not different between the study groups. Non-differential misclassification is when measurement error and any resulting misclassification occur equally in all groups being compared, they are described as being non-differential
Differential misclassification
Different between the study groups
Examples of differential misclassification
In a cross-sectional study, people with the outcome might report the exposure differently to those without the outcome
In a case-control study, cases might more accurately recall past exposures compared to controls
In a case-control study, an interviewer who is aware they are interviewing a case might ask more probing questions about the exposure of interest
In a cohort study, an interviewer aware of the exposure status may ask more probing questions about the outcome among those exposed compared with those in the comparison group
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 outer information and memory aids
Differential misclassification in cohort studies
If classification of exposure depends on outcome (BUT outcome not yet happened in a prospective cohort study; can be an issue in historical cohort studies)
If classification of outcome depends on the exposure e.g. if interviewer/observer knew the exposure status and examined the outcome differently for those in the exposed group compared with those in the comparison group
Minimising interviewer/observer bias examples
Clearly defined study protocol and measures, structured questionnaire and standard prompts, training of interviewers and blinding
Bias in randomised controlled trials
Bias could occur if knowledge of the treatment/exposure category influences the assessment of the outcome
Bias could occur if measurements are undertaken differently for different treatment groups
Minimising information bias in terms of measurement instruments
Use standardised equipment or calibrated equipment