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Dataset Information

Analysis of the quality, accuracy, and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English: a cross-sectional study.


ABSTRACT:

Background

Online information about PCOS lacks reliability for patients seeking information about the disease. Thus, we aimed to perform an updated analysis of the quality, accuracy, and readability of patient information on PCOS available online.

Methods

We conducted a cross-sectional study using the top five Google Trends search terms in English associated with PCOS, including "symptoms," "treatment," "test," "pregnancy," and "causes." Five separate searches in Bing, Yahoo, and Google were performed to obtain the first 10 unique webpages for each term that was categorized as commercial, non-profit organization, scientific resources, or private foundation. We used the 16-item DISCERN with Likert-responses (minimum 1, maximum 5) where the total is 80 and lowest is 16, clarit

SUBMITTER: Vagenes H 

PROVIDER: S-EPMC10184410 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature