Bladder Cancer Health Literacy: Assessing Readability of Online Patient Education Materials
BLADDER CANCER(2021)
Abstract
BACKGROUND: Understanding of health-related materials, termed health literacy, affects decision makings and outcomes in the treatment of bladder cancer. The National Institutes of Health recommend writing education materials at a sixth-seventh grade reading level. The goal of this study is to assess readability of bladder cancer materials available online. OBJECTIVE: The goal of this study is to characterize available information about bladder cancer online and evaluate readability. METHODS: Materials on bladder cancer were collected from the American Urological Association's Urology Care Foundation (AUA-UCF) and compared to top 50 websites by search engine results. Resources were analyzed using four different validated readability assessment scales. The mean and standard deviation of the materials was calculated, and a two-tailed t test for used to assess for significance between the two sets of patient education materials. RESULTS: The average readability of AUA materials was 8.5 (8th-9th grade reading level). For the top 50 websites, average readability was 11.7 (11-12th grade reading level). A two-tailed t test between the AUA and top 50 websites demonstrated statistical significance between the readability of the two sets of resources (P= 0.0001), with the top search engine results being several grade levels higher than the recommended 6-7th grade reading level. CONCLUSIONS: Most health information provided by the AUA on bladder cancer is written at a reading ability that aligns with most US adults, with top websites for search engine results exceeding the average reading level by several grade levels. By focusing on health literacy, urologists may contribute lowering barriers to health literacy, improving health care expenditure and perioperative complications.
MoreTranslated text
Key words
Bladder cancer,health literacy,readability,Patient Education Materials
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined