Evidence‐Based Medicine in Otolaryngology Part 14: Falsehood and Bias

Abstract

AbstractObjectiveFalsehood and bias can have tangible effects, whether related to the "hoax" of Corona virus disease/COVID‐19 or the impact of personal protective equipment in city‐wide news. The spread of false information requires the diversion of time and resources into rebolstering the truth. Our objective is thus to elucidate types of bias that may influence our daily work, along with ways to mitigate them.Data SourcesPublications are included which delineate specific aspects of bias or address how to preempt, mitigate, or correct bias, whether conscious or unconscious.Review MethodsWe discuss: (1) the background and rationale for proactively considering potential sources of bias, (2) relevant definitions and concepts, (3) potential means to limit effects of inaccurate data sources, and (4) evolving frontiers in the management of bias. In doing so, we review epidemiological concepts and susceptibility to bias within study designs, including database studies, observational studies, randomized controlled trials (RCTs), systematic reviews, and meta‐analyses. We additionally discuss concepts such as the difference between disinformation and misinformation, differential or nondifferential misclassification, bias toward a null result, and unconscious bias, among others.ConclusionWe have the means to mitigate sources of potential bias in database studies, observational studies, RCTs, and systematic reviews, beginning with education and awareness.Implications for PracticeFalse information may spread faster than true information, so it is beneficial to understand potential sources of falsehood we face, in order to safeguard our daily impressions and decisions. Awareness of potential sources of falsehood and bias forms the foundation for accuracy in our everyday work.