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Assessing the Quality of Online Health Information and Trend Data for Colorectal Malignancies. | LitMetric

Introduction: Patients often refer to the internet to learn about different health conditions. This study aims to assess the landscape of online health information on malignant colorectal conditions, focusing on the popularity, quantity, and quality of internet resources pertaining to these conditions. This information can be used as a guide for surgeons to supplement patient information at the time of surgical evaluation and to help design optimal online health information.

Methods: The terms "colon cancer," "rectal cancer," "anal cancer," and "colorectal cancer" were searched using the Google search engine. The number of search results or "hits" obtained per search term was recorded and the first 50 websites for each search term were reviewed. Included websites did not have a password requirement, were in English, and were free. Quality assessments were performed using the DISCERN instrument, and mean DISCERN scores were compared using analysis of variance. The popularity of each search term was determined using Google Trends, which generates a relative search volume score.

Results: A total of 431 million hits were obtained for the term "colon cancer," 72.5 million for "rectal cancer," 244 million for "anal cancer," and 194 million for "colorectal cancer." Mean DISCERN scores for reviewed websites ranged between 39.7 and 40.6, and were thus within the "fair" category. There were no significant differences in mean DISCERN scores across search terms (P = 0.5). Colon cancer had the highest relative search volume score (61.8), followed by colorectal cancer (43.4/100), rectal cancer (42.5/100), and anal cancer (41.7/100).

Conclusions: Although there is a large amount of online information on malignant colorectal conditions, the quality of the available information is inadequate. Clinician guidance to resources aimed at higher quality from guidance of the DISCERN tool may be of value for patient education.

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http://dx.doi.org/10.1016/j.jss.2022.10.055DOI Listing

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