Data-driven analyses to quantify information seeking behaviour for women with uterine fibroids
Saleigh Q. Derico,
Karen Hicklin,
Lauren B. Davis and
Kim C. Brooks
Health Systems, 2024, vol. 13, issue 2, 73-96
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.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/20476965.2022.2150570 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:thssxx:v:13:y:2024:i:2:p:73-96
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/thss20
DOI: 10.1080/20476965.2022.2150570
Access Statistics for this article
Health Systems is currently edited by Sally Brailsford
More articles in Health Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().