What is detection bias in a cohort study, and when does it occur?

Prepare effectively for your Cohort Studies Test. Utilize flashcards and multiple-choice questions, complete with hints and explanations, to boost your confidence. Achieve exam success with thorough practice and understanding!

Multiple Choice

What is detection bias in a cohort study, and when does it occur?

Explanation:
Detection bias happens when the outcome is more likely to be detected in one group because that group is monitored more closely. In a cohort study, if the exposed group receives more frequent checkups, tests, or follow-up than the unexposed group, clinicians are more likely to find outcomes there, making it look like the exposure increases risk even if true risk is the same. This differential ascertainment arises from surveillance differences rather than a real effect of the exposure. For example, if patients on a new drug are followed with regular imaging, doctors may detect more events simply due to the heightened monitoring, not because the drug causes more events. This bias occurs specifically due to differences in how outcomes are ascertained between groups. Other options describe different issues: loss to follow-up is attrition bias, misclassification of exposure is a separate information bias about exposure status, and random sampling error is random variation, not systematic bias. So the described idea—increased ascertainment of outcomes in the exposed due to more monitoring—is detection bias.

Detection bias happens when the outcome is more likely to be detected in one group because that group is monitored more closely. In a cohort study, if the exposed group receives more frequent checkups, tests, or follow-up than the unexposed group, clinicians are more likely to find outcomes there, making it look like the exposure increases risk even if true risk is the same. This differential ascertainment arises from surveillance differences rather than a real effect of the exposure. For example, if patients on a new drug are followed with regular imaging, doctors may detect more events simply due to the heightened monitoring, not because the drug causes more events. This bias occurs specifically due to differences in how outcomes are ascertained between groups. Other options describe different issues: loss to follow-up is attrition bias, misclassification of exposure is a separate information bias about exposure status, and random sampling error is random variation, not systematic bias. So the described idea—increased ascertainment of outcomes in the exposed due to more monitoring—is detection bias.

More Multiple Choice Questions
Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy