Yüceler Kaçmaz Hatice, Kahraman Hilal, Akutay Seda, Dağdelen Derya
Department of Surgical Nursing, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey.
Department of Public Health Nursing, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey.
J Adv Nurs. 2025 Jul;81(7):3859-3867. doi: 10.1111/jan.16542. Epub 2024 Oct 18.
To develop and test the validity of an artificial intelligence-assisted patient education material for ostomy patients.
A methodological study.
The study was carried out in two main stages and five steps: (1) determining the information needs of ostomy patients, (2) creating educational content, (3) converting the educational content into patient education material, (4) validation of patient education material based on expert review and (5) measuring the readability of the patient education material. We used ChatGPT 4.0 to determine the information needs and create patient education material content, and Publuu Online Flipbook Maker was used to convert the educational content into patient education material. Understandability and applicability scores were assessed using the Patient Education Materials Assessment Tool submitted to 10 expert reviews. The tool inter-rater reliability was determined via the intraclass correlation coefficient. Readability was analysed using the Flesch-Kincaid Grade Level, Gunning Fog Index and Simple Measure of Gobbledygook formula.
The mean Patient Education Materials Assessment Tool understandability score of the patient education material was 81.91%, and the mean Patient Education Materials Assessment Tool actionability score was 85.33%. The scores for the readability indicators were calculated to be Flesch-Kincaid Grade Level: 8.53, Gunning Fog: 10.9 and Simple Measure of Gobbledygook: 7.99.
The AI-assisted patient education material for ostomy patients provided accurate information with understandable and actionable responses to patients, but is at a high reading level for patients.
Artificial intelligence-assisted patient education materials can significantly increase patient information rates in the health system regarding ease of practice. Artificial intelligence is currently not an option for creating patient education material, and their impact on the patient is not fully known.
The study followed the STROBE checklist guidelines.
No patient or public contributions.
开发并测试一种用于造口术患者的人工智能辅助患者教育材料的有效性。
一项方法学研究。
该研究分两个主要阶段和五个步骤进行:(1)确定造口术患者的信息需求,(2)创建教育内容,(3)将教育内容转化为患者教育材料,(4)基于专家评审对患者教育材料进行验证,(5)测量患者教育材料的可读性。我们使用ChatGPT 4.0来确定信息需求并创建患者教育材料内容,使用Publuu在线翻页书制作工具将教育内容转化为患者教育材料。使用提交给10位专家评审的患者教育材料评估工具评估可理解性和适用性得分。通过组内相关系数确定该工具的评分者间信度。使用弗莱什-金凯德年级水平、冈宁雾度指数和胡言乱语简易度量公式分析可读性。
患者教育材料的患者教育材料评估工具平均可理解性得分为81.91%,患者教育材料评估工具平均可操作性得分为85.33%。可读性指标的得分经计算为:弗莱什-金凯德年级水平:8.53,冈宁雾度:10.9,胡言乱语简易度量:7.99。
用于造口术患者的人工智能辅助患者教育材料为患者提供了准确的信息,且回答易于理解且具有可操作性,但对患者来说阅读水平较高。
人工智能辅助患者教育材料可显著提高卫生系统中患者信息获取率,便于实践。目前,人工智能不是创建患者教育材料的选择,其对患者的影响尚不完全清楚。
该研究遵循STROBE清单指南。
无患者或公众参与。