Lin Shih-Jung, Sun Chin-Yu, Chen Dan-Ni, Kang Yi-No, Hoang Khanh Dinh, Chen Kee-Hsin, Chen Chiehfeng
School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan.
Support Care Cancer. 2024 Dec 27;33(1):55. doi: 10.1007/s00520-024-09096-9.
Effective education and awareness regarding breast cancer are critical. Traditional educational methods often fail to meet the diverse information needs of patients. Patients should be provided with tailored, accessible information to improve their retention and understanding of disease-related information.
This systematic review and meta-analysis evaluated the effectiveness of chatbots for providing breast cancer education. By examining patient satisfaction with and the usability and efficacy of chatbot interventions, this study seeks to support the integration of chatbot technology into cancer education.
This review, which was conducted in accordance with PRISMA guidelines, included studies from MEDLINE, Embase, and the Cochrane Library up to May 2024. The main inclusion criterion was chatbot interventions for breast cancer education. Meta-analysis was performed using Review Manager and Open Meta-Analyst software.
Of the 208 articles initially identified, 6 studies met the inclusion criteria, involving a total of 1342 women with early-stage or at-risk hereditary breast cancer. The meta-analysis revealed that most participants (85 to 99%) reported high satisfaction with chatbot interventions for breast cancer education, with no significant differences in satisfaction compared to genetic counselors or physicians. The chatbot interventions also showed positive effects on knowledge acquisition (mean proportion = 90.8%) and alleviated patients' symptoms significantly more than routine care.
This study demonstrated that chatbots can effectively provide personalized and interactive educational support, enhancing patients' understanding and retention of disease-related information. The integration of chatbot technology into educational programs can empower patients, ultimately promoting breast cancer awareness and prevention.
关于乳腺癌的有效教育和认知至关重要。传统教育方法往往无法满足患者多样化的信息需求。应为患者提供量身定制、易于获取的信息，以提高他们对疾病相关信息的记忆和理解。
本系统评价和荟萃分析评估了聊天机器人在提供乳腺癌教育方面的有效性。通过检查患者对聊天机器人干预措施的满意度以及其可用性和有效性，本研究旨在支持将聊天机器人技术整合到癌症教育中。
本评价按照PRISMA指南进行，纳入了截至2024年5月来自MEDLINE、Embase和Cochrane图书馆的研究。主要纳入标准是用于乳腺癌教育的聊天机器人干预措施。使用Review Manager和Open Meta-Analyst软件进行荟萃分析。
在最初确定的208篇文章中，6项研究符合纳入标准，共涉及1342名患有早期或有遗传性乳腺癌风险的女性。荟萃分析显示，大多数参与者（85%至99%）对用于乳腺癌教育的聊天机器人干预措施表示高度满意，与遗传咨询师或医生相比，满意度无显著差异。聊天机器人干预措施对知识获取也显示出积极影响（平均比例=90.8%），并且比常规护理更能显著缓解患者的症状。
本研究表明，聊天机器人可以有效地提供个性化和交互式教育支持，增强患者对疾病相关信息的理解和记忆。将聊天机器人技术整合到教育项目中可以增强患者的能力，最终提高乳腺癌的认知和预防水平。
