Tawfik Elham, Ghallab Eman, Moustafa Amel
Community Health Nursing Department, Faculty of Nursing, Damanhour University, Damanhour, Egypt.
Community Health Nursing Department, Faculty of Nursing, The British University in Egypt, Cairo, Egypt.
BMC Nurs. 2023 Apr 6;22(1):102. doi: 10.1186/s12912-023-01243-7.
The high levels of unmet needs in relation to provision of self-care information reported by women living with breast cancer suggests that pre-chemotherapy education is suboptimal. Chatbots are emerging as a promising platform to provide education to patients helping them self-manage their symptoms at home. However, evidence from empirical studies on the effect of chatbots education on women living with breast cancer self-care behaviors and symptoms management are scarce.
This three-arm randomized controlled trial was performed in a chemotherapy day care center within an oncology center in Egypt. A total of 150 women living with breast cancer were randomly selected and randomized into three groups: the ChemoFreeBot group (n = 50), the nurse-led education group (n = 50), and the routine care group (n = 50). In the ChemoFreeBot group, women were given a link to interact with ChemoFreeBot and ask questions about their symptoms and self-care interventions by typing questions or keywords at any time. On the same day as their first day of chemotherapy, the nurse-led education group received face to face teaching sessions from the researcher (nurse) about side effects and self-care interventions. The routine care group received general knowledge during their chemotherapy session about self-care interventions. The self-care behaviors effectiveness and the frequency, severity and distress of chemotherapy side effects were measured at baseline and postintervention for the three groups. The ChemoFreeBot's usability was assessed.
The mixed design repeated measures ANOVA analyses revealed a statistically significant both group effect and interaction effect of group*time, indicating a significant difference between the three groups in terms of the physical symptoms frequency (F = 76.075, p < .001, F = 147, p < .001, respectively), severity (F = 96.440, p < .001, F = 220.462, p < .001), and distress (F = 77.171, p < .001, F = 189.680, p < .001); the psychological symptoms frequency (F = 63.198, p < .001, F = 137.908, p < .001), severity (F = 62.137, p < .001), (F = 136.740, p < .001), and distress (F = 43.003, p < .001, F = 168.057, p < .001), and the effectiveness of self-care behaviors (F = 20.134, p < .001, F = 24.252, p < .001, respectively). The Post hoc analysis with Bonferroni adjustment in showed that women in the ChemoFreeBot group experienced a statistically significant less frequent, less severe and less distressing physical and psychological symptoms and higher effective self-care behaviors than those in the nurse-led education and routine care groups (p > .001).
ChemoFreeBot was a useful and cost-effective tool to improve increase self-care behavior and reduce chemotherapy side effects in women living with breast cancer through the provision of personalized education and the improvement of the accessibility to real-time and high-quality information compared to "one size fits all" approach used by nurses to provide the information. ChemoFreeBot can be an empowering tool to assist nurses to educate women with breast cancer and allow women to take an active role in managing their symptom.
This study was retrospectively registered in the University hospital Medical Information Network (UMIN) Center, Clinical Trials Registry on 26/09/2022; Registration No:R000055389,Trial ID:UMIN000048955.
乳腺癌患者报告的自我护理信息未满足需求水平较高,这表明化疗前教育并不理想。聊天机器人正在成为一个有前景的平台,可为患者提供教育,帮助他们在家中自我管理症状。然而,关于聊天机器人教育对乳腺癌患者自我护理行为和症状管理效果的实证研究证据很少。
这项三臂随机对照试验在埃及一家肿瘤中心的化疗日间护理中心进行。总共随机选择了150名乳腺癌患者,并将其随机分为三组:ChemoFreeBot组(n = 50)、护士主导教育组(n = 50)和常规护理组(n = 50)。在ChemoFreeBot组中,患者被提供一个链接,可随时通过输入问题或关键词与ChemoFreeBot互动,询问有关其症状和自我护理干预措施的问题。在化疗第一天,护士主导教育组接受研究人员(护士)关于副作用和自我护理干预措施的面对面教学课程。常规护理组在化疗期间接受关于自我护理干预措施的一般知识。在基线和干预后测量三组的自我护理行为有效性以及化疗副作用的频率、严重程度和困扰程度。评估了ChemoFreeBot的可用性。
混合设计重复测量方差分析显示,组效应和组*时间交互效应均具有统计学意义,表明三组在身体症状频率(F分别为76.075,p <.(此处原文有误,推测应为p <.001),F为147,p <.001)、严重程度(F为96.440,p <.001,F为220.462,p <.001)和困扰程度(F为77.171,p <.001,F为189.680,p <.001);心理症状频率(F为63.198,p <.001,F为137.908,p <.001)、严重程度(F为62.137,p <.001),(F为136.740,p <.001)和困扰程度(F为43.003,p <.001,F为168.057,p <.001)以及自我护理行为有效性(F分别为20.134,p <.001,F为24.252,p <.001)方面存在显著差异。使用Bonferroni校正的事后分析表明,与护士主导教育组和常规护理组相比,ChemoFreeBot组的患者在身体和心理症状方面经历的频率、严重程度和困扰程度在统计学上显著更低,自我护理行为更有效(p >.001)。
与护士采用的“一刀切”信息提供方式相比,ChemoFreeBot是一种有用且具有成本效益的工具,通过提供个性化教育并改善获取实时和高质量信息机会,可提高乳腺癌患者的自我护理行为并减少化疗副作用。ChemoFreeBot可以成为一种增强能力的工具,协助护士教育乳腺癌患者,并使患者在管理症状方面发挥积极作用。
本研究于2022年9月26日在大学医院医学信息网络(UMIN)中心临床试验注册处进行回顾性注册;注册号:R0000(此处原文有误,推测应为R000055389),试验编号:UMIN000048955。