Can Generative Artificial Intelligence Enhance Health Literacy About Lateral Epicondylitis?

被引:0
|
作者
Miskiewicz, Michael J. [1 ]
Leonardo, Christian [1 ]
Capotosto, Salvatore [1 ]
Ling, Kenny [2 ]
Cohen, Dorian [1 ]
Komatsu, David [1 ]
Wang, Edward D. [1 ]
机构
[1] SUNY Stony Brook, Dept Orthopaed Surg, Stony Brook, NY 11794 USA
[2] Stony Brook Univ Hosp, Dept Orthopaed, Stony Brook, NY USA
关键词
health literacy; patient education materials; chatgpt; lateral epicondylitis; orthopedic surgery; READABILITY; QUALITY; CARE;
D O I
10.7759/cureus.61384
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Health literacy is a critical determinant of a patient's overall health status, and studies have demonstrated a consistent link between poor health literacy and negative health outcomes. The Centers for Disease Control and Prevention (CDC) and the National Institutes of Health (NIH) advise that patient educational materials (PEMs) should be written at an eighth -grade reading level or lower, matching the average reading level of adult Americans. The purpose of this study was to investigate the ability of generative artificial intelligence (AI) to edit PEMs from orthopaedic institutions to meet the CDC and NIH guidelines. Methods: PEMs about lateral epicondylitis (LE) from the top 25 ranked orthopaedic institutions from the 2022 U.S. News & World Report Best Hospitals Specialty Ranking were gathered. ChatGPT Plus (version 4.0) was then instructed to rewrite PEMs on LE from these institutions to comply with CDC and NIHrecommended guidelines. Readability scores were calculated for the original and rewritten PEMs, and paired t -tests were used to determine statistical significance. Results: Analysis of the original and edited PEMs about LE revealed significant reductions in reading grade level and word count of 3.70 +/- 1.84 (p<0.001) and 346.72 +/- 364.63 (p<0.001), respectively. Conclusion: Our study demonstrated generative AI's ability to rewrite PEM about LE at a reading comprehension level that conforms to the CDC and NIH guidelines. Hospital administrators and orthopaedic surgeons should consider the findings of this study and the potential utility of artificial intelligence when crafting PEMs of their own.
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页数:6
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