The feasibility and effectiveness of a blended-learning course for detecting and avoiding bias in medical data: a pilot study.

ABSTRACT:

Background

Conflicts of interest (COIs), including those arising from interactions with pharmaceutical companies, may lead to bias in medical data. Although medical students are now requesting more education on COIs and bias, they are still not adequately taught during medical school, and few published courses on this topic exist. The objective of our study was therefore to evaluate the feasibility and effectiveness of a blended-learning course for detecting and avoiding bias in medical data, with a special focus on COIs.

Methods

We developed a blended learning course on bias detection, COIs, and risk communication. It was piloted in the Fall Semester of 2019/2020 using a pre/post-test design. The primary outcome was a gain in bias detection skills, tested by a novel key fea

SUBMITTER: Koch C 

PROVIDER: S-EPMC7648418 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature