Yoon Junghee, Cho Soo-Kyung, Choi Se Rim, Lee Soo-Bin, Cho Juhee, Jeon Chan Hong, Kim Geun-Tae, Lee Jisoo, Sung Yoon-Kyoung
Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
Institute for Quality of Life in Cancer, Samsung Medical Center, Seoul, Korea.
J Korean Med Sci. 2025 Jan 6;40(1):e67. doi: 10.3346/jkms.2025.40.e67.
This study aimed to identify key priorities for the development of guidelines for information and communication technology (ICT)-based patient education tailored to the needs of patients with rheumatic diseases (RDs) in the Republic of Korea, based on expert consensus.
A two-round modified Delphi study was conducted with 20 rheumatology, patient education, and digital health literacy experts. A total of 35 items covering 7 domains and 18 subdomains were evaluated. Each item was evaluated for its level of importance, and the responses were rated on a 4-point Likert scale. Consensus levels were defined as "high" (interquartile range [IQR] ≤ 1, agreement ≥ 80%, content validity ratio [CVR] ≥ 0.7), "Moderate" (IQR ≥ 1, agreement 50-79%, CVR 0.5-0.7), and "Low" (IQR > 1, agreement < 50%, CVR < 0.5).
Strong consensus was reached for key priorities for developing guidelines in areas such as health literacy, digital health literacy, medical terminology, user interface, and user experience design for mobile apps. Chatbot use and video (e.g., YouTube) also achieved high consensus, whereas AI-powered platforms such as ChatGPT showed moderate-to-high agreement. Telemedicine was excluded because of insufficient consensus.
The key priorities identified in this study provide a foundation for the development of ICT-based patient education guidelines for RDs in the Republic of Korea. Future efforts should focus on integrating digital tools into clinical practice to enhance patient engagement and improve clinical outcomes.
本研究旨在基于专家共识,确定为韩国风湿性疾病(RD)患者的需求量身定制的基于信息通信技术(ICT)的患者教育指南制定的关键优先事项。
对20名风湿病学、患者教育和数字健康素养专家进行了两轮改进的德尔菲研究。共评估了涵盖7个领域和18个子领域的35个项目。对每个项目的重要性水平进行评估,并根据4点李克特量表对回答进行评分。共识水平定义为“高”(四分位间距[IQR]≤1,一致性≥80%,内容效度比[CVR]≥0.7)、“中”(IQR≥1,一致性50 - 79%,CVR 0.5 - 0.7)和“低”(IQR>1,一致性<50%,CVR<0.5)。
在健康素养、数字健康素养、医学术语、用户界面以及移动应用的用户体验设计等领域制定指南的关键优先事项达成了强烈共识。聊天机器人的使用和视频(如YouTube)也达成了高度共识,而ChatGPT等人工智能驱动的平台则显示出中等至高的一致性。由于共识不足,远程医疗被排除在外。
本研究确定的关键优先事项为韩国RD患者基于ICT的患者教育指南的制定奠定了基础。未来的努力应集中在将数字工具整合到临床实践中,以提高患者参与度并改善临床结果。