胆脂瘤:以患者为中心的传统资源与人工智能生成的资源对比

IF 2.5 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Samantha N Little B.S., M.S., MPH
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引用次数: 0

摘要

导言:胆脂瘤的诊断需要耳鼻喉科医生和患者通力合作才能有效治疗。虽然医生在提供医学教育方面发挥着核心作用,但患者通常会从外部来源寻求更多信息,以加深对诊断的理解。本研究比较了以患者为中心的胆脂瘤文献和 ChatGPT 生成的资料。方法通过计算每个网站和 ChatGPT 响应的患者教育材料评估工具 (PEMAT) 分数、DISCERN 分数、Flesch-Kincaid 等级 (FKGL) 和 Flesch 阅读容易程度分数 (FRES) 进行定量评估。评分者通过量化每个资源中的错误数量来确定准确性。结果与 ChatGPT 回复相比,以患者为中心的内容具有更好的可理解性,PEMAT-U 平均得分分别为 80.2 ± 10.6 和 60.0 ± 3.72(P < .001)。单个 ChatGPT 答卷的平均 FKGL(P <.001)、FRES(P <.001)和 DISCERN 分数(P <.001)显示了可读性和质量方面的显著差异。在 DISCERN 综合反应(P = 0.224)或 PEMAT-A 分数(P = 0.567)方面没有明显差异。结论与 ChatGPT 的回答相比,来自成熟来源的以患者为中心的胆脂瘤内容更易读、更易懂、更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cholesteatoma: Conventional patient-focused versus AI-generated resources

Introduction

A diagnosis of cholesteatoma necessitates a collaborative effort between otolaryngologists and patients for effective treatment. While physicians play a central role in providing medical education, patients often seek additional information from external sources to enhance the comprehension of their diagnosis. This study compared patient-focused cholesteatoma literature from established sources to ChatGPT-generated material. Emphasizing health literacy's crucial influence on patient health outcomes, it evaluates both sources' accuracy, readability, understandability, and actionability to highlight potential differences in these frequently accessed resources.

Methods

A quantitative assessment was conducted by calculating the Patient Education Materials Assessment Tool (PEMAT) score, DISCERN score, Flesch-Kincaid Grade Level (FKGL), and Flesch Reading Ease Score (FRES) for each website and ChatGPT response. Raters determined accuracy by quantifying the number of errors in each resource.

Results

The patient-focused content was associated with better understandability compared to ChatGPT responses with a mean PEMAT-U score of 80.2 ± 10.6 and 60.0 ± 3.72 (P < .001), respectively. There was a significant difference in readability and quality demonstrated by average FKGL (P < .001), FRES (P < .001), and DISCERN scores in the individual ChatGPT responses (P < .001). There was no significant difference with regard to DISCERN combined responses (p = 0.224) or PEMAT-A scores (p = 0.567). An average of 2.6 ± 1.1 errors were found in the combined ChatGPT responses.

Conclusion

Patient-focused content from established sources on cholesteatoma was easier to read, more understandable, and more accurate when compared to responses from ChatGPT. k T Nickles, B.S.

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来源期刊
CiteScore
4.80
自引率
3.00%
发文量
139
审稿时长
98 days
期刊介绍: Journal of the National Medical Association, the official journal of the National Medical Association, is a peer-reviewed publication whose purpose is to address medical care disparities of persons of African descent. The Journal of the National Medical Association is focused on specialized clinical research activities related to the health problems of African Americans and other minority groups. Special emphasis is placed on the application of medical science to improve the healthcare of underserved populations both in the United States and abroad. The Journal has the following objectives: (1) to expand the base of original peer-reviewed literature and the quality of that research on the topic of minority health; (2) to provide greater dissemination of this research; (3) to offer appropriate and timely recognition of the significant contributions of physicians who serve these populations; and (4) to promote engagement by member and non-member physicians in the overall goals and objectives of the National Medical Association.
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