Comparison of ChatGPT and Traditional Patient Education Materials for Men’s Health

可读性 医学 健康素养 医疗保健 阅读(过程) 家庭医学 医学教育 阅读水平 考试(生物学) 判决 人工智能 语言学 经济增长 计算机科学 经济 古生物学 哲学 生物
作者
Yash B. Shah,Anup K. Ghosh,Aaron R. Hochberg,Eli Rapoport,Costas D. Lallas,Mihir S. Shah,Sanford N. Cohen
出处
期刊:Urology Practice [Ovid Technologies (Wolters Kluwer)]
卷期号:11 (1): 87-94 被引量:1
标识
DOI:10.1097/upj.0000000000000490
摘要

ChatGPT is an artificial intelligence platform available to patients seeking medical advice. Traditionally, urology patients consulted official provider-created materials, particularly the Urology Care Foundation™ (UCF). Today, men increasingly go online due to the rising costs of health care and the stigma surrounding sexual health. Online health information is largely inaccessible to laypersons as it exceeds the recommended American sixth to eighth grade reading level. We conducted a comparative assessment of patient education materials generated by ChatGPT vs UCF regarding men's health conditions.All 6 UCF men's health resources were identified. ChatGPT responses were generated using patient questions obtained from UCF. Adjusted ChatGPT responses were generated by prompting, "Explain it to me like I am in sixth grade." Textual analysis was performed using sentence, word, syllable, and complex word count. Six validated formulae were used for readability analysis. Two physicians independently scored responses for accuracy, comprehensiveness, and understandability. Statistical analysis involved Wilcoxon matched-pairs test.ChatGPT responses were longer and more complex. Both UCF and ChatGPT failed official readability standards, although ChatGPT performed significantly worse across all 6 topics (all P < .001). Conversely, adjusted ChatGPT readability typically surpassed UCF, even meeting the recommended level for 2 topics. Qualitatively, UCF and ChatGPT had comparable accuracy, although ChatGPT had better comprehensiveness and worse understandability.When comparing readability, ChatGPT-generated education is less accessible than provider-written content, although neither meets the recommended level. Our analysis indicates that specific artificial intelligence prompts can simplify educational materials to meet national standards and accommodate individual literacy.
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