Shaban Mostafa, Osman Yasmine M, Mohamed Nermen Abdelfatah, Shaban Marwa Mamdouh
Lecturer of Geriatric Nursing, Faculty of Nursing, Cairo University, Cairo, Egypt.
Department of Obstetrics and Gynecology Nursing, Faculty of Nursing, Zagazig University, Zagazig, Egypt.
BMC Nurs. 2025 Jul 29;24(1):994. doi: 10.1186/s12912-025-03585-w.
Breast cancer remains a leading cause of morbidity worldwide, necessitating innovative and accessible interventions that address both clinical and psychosocial needs. AI-powered chatbots are increasingly used in health education due to their 24/7 availability, personalization, and interactivity. However, empirical evidence on their effectiveness in enhancing knowledge, empowerment, and attitudes in oncology settings remains limited.
This randomized controlled trial (RCT) evaluated the impact of an AI chatbot intervention on knowledge, empowerment, and attitudes toward AI among breast cancer patients.
A two-arm, pre-post RCT was conducted with 122 women diagnosed with breast cancer at Kafr El-Sheikh University Hospital. Participants were randomly assigned to an intervention group (n = 61) receiving structured AI chatbot-based education plus standard care, or a control group (n = 61) receiving standard care alone. Data were collected using validated questionnaires assessing breast cancer and AI knowledge, attitudes toward AI, and perceived empowerment. G*Power analysis determined sample adequacy for between-group comparisons.
Post-intervention, the intervention group showed significantly higher knowledge (20.3 ± 2.1 vs. 17.9 ± 3.4, p <.001) and more positive attitudes (82.4 ± 7.2 vs. 72.6 ± 8.9, p <.001) compared to controls. Logistic regression indicated that knowledge gain and higher education predicted a positive AI attitude. Path analysis revealed both direct and mediated effects of knowledge on attitude via empowerment. Usage data and chatbot session logs supported high engagement.
Integrating AI chatbots into oncology nursing care significantly enhances knowledge, empowerment, and AI acceptance. These findings support chatbot integration in patient-centered digital health strategies, particularly in oncology.
Not applicable.
NCT06943911 (retrospectively registered on 24/4/2025).
乳腺癌仍是全球发病的主要原因之一，因此需要创新且易于获得的干预措施来满足临床和心理社会需求。由于人工智能驱动的聊天机器人具备全天候可用性、个性化和交互性，它们在健康教育中的应用越来越广泛。然而，关于其在肿瘤学环境中增强知识、赋能和态度方面有效性的实证证据仍然有限。
本随机对照试验（RCT）评估了人工智能聊天机器人干预对乳腺癌患者的知识、赋能以及对人工智能态度的影响。
在卡夫尔谢赫大学医院对122名被诊断为乳腺癌的女性进行了一项双臂前后测随机对照试验。参与者被随机分配到干预组（n = 61），接受基于结构化人工智能聊天机器人的教育加标准护理，或对照组（n = 61），仅接受标准护理。使用经过验证的问卷收集数据，评估乳腺癌和人工智能知识、对人工智能的态度以及感知到的赋能。G*Power分析确定了组间比较的样本充足性。
干预后，与对照组相比，干预组的知识水平显著更高（20.3±2.1对17.9±3.4，p <.001），态度也更积极（82.4±7.2对72.6±8.9，p <.001）。逻辑回归表明，知识增长和高等教育预示着对人工智能的积极态度。路径分析揭示了知识通过赋能对态度的直接和中介效应。使用数据和聊天机器人会话日志表明参与度很高。
将人工智能聊天机器人整合到肿瘤护理中可显著提高知识水平，并增强赋能和对人工智能的接受度。这些发现支持将聊天机器人整合到以患者为中心的数字健康策略中，尤其是在肿瘤学领域。
不适用。
NCT06943911（于2025年4月24日追溯注册）。
