Search results
Results From The WOW.Com Content Network
Lead time bias happens when survival time appears longer because diagnosis was done earlier (for instance, by screening), irrespective of whether the patient lived longer. Lead time is the duration of time between the detection of a disease (by screening or based on new experimental criteria) and its usual clinical presentation and diagnosis ...
Age bias presents significant challenges for aging women in the diagnosis and treatment of medical conditions. For example, a 2000 study found that emergency department nurses had varying views on the importance and likelihood of myocardial infarction among male and female patients seeking evaluation and treatment.
In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:
Gender bias is prevalent in medical research and diagnosis. Historically, women were excluded from clinical trials, which affects research and diagnosis. Throughout clinical trials, Caucasian males were the normal test subjects and findings were then generalized to other populations. [87]
Overdiagnosis is the diagnosis of disease that will never cause symptoms or death during a patient's ordinarily expected lifetime [1] and thus presents no practical threat regardless of being pathologic. Overdiagnosis is a side effect of screening for early forms of disease.
Protopathic bias, when a treatment for the first symptoms of a disease or other outcome appear to cause the outcome. It is a potential bias when there is a lag time from the first symptoms and start of treatment before actual diagnosis. [9]
Confirmation bias (also confirmatory bias, myside bias, [a] or congeniality bias [2]) is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values. [3]
In statistics, verification bias is a type of measurement bias in which the results of a diagnostic test affect whether the gold standard procedure is used to verify the test result. This type of bias is also known as "work-up bias" or "referral bias".