Data-driven analyses to quantify information seeking behaviour for women with uterine fibroids.

Abstract

Uterine fibroids (UF) are noncancerous growths of the uterus and impact the livelihood of over 26 million women in the United States. Although UF may not have accompanying symptoms, for some women their presence leads to surgical treatment, which can be a difficult decision-making process. Web-scraping of online media is used to identify information-seeking behavior of women searching for UF treatment options. We synthesize the data to describe trends in UF treatment, including the identification of gaps between the information individuals are seeking (demand) and information that is publicly available as a resource (supply), which contributes to this study's creation of the term "information desert." We perform statistical analysis to understand information-seeking behavior, determine the gap between information supply and information demand, and determine the correlation between a doctor's treatment recommendation and a patient's treatment decision as a function of age, symptoms, and knowledge obtained about specific types of treatment.