Department of Applied Psychology, University of Applied Sciences Zurich, Zurich, Switzerland.
Department Primary School, Division Education, Culture and Sports, Aarau, Switzerland.
JMIR Mhealth Uhealth. 2020 Apr 3;8(4):e15806. doi: 10.2196/15806.
Ongoing pain is one of the most common diseases and has major physical, psychological, social, and economic impacts. A mobile health intervention utilizing a fully automated text-based health care chatbot (TBHC) may offer an innovative way not only to deliver coping strategies and psychoeducation for pain management but also to build a working alliance between a participant and the TBHC.
The objectives of this study are twofold: (1) to describe the design and implementation to promote the chatbot painSELfMAnagement (SELMA), a 2-month smartphone-based cognitive behavior therapy (CBT) TBHC intervention for pain self-management in patients with ongoing or cyclic pain, and (2) to present findings from a pilot randomized controlled trial, in which effectiveness, influence of intention to change behavior, pain duration, working alliance, acceptance, and adherence were evaluated.
Participants were recruited online and in collaboration with pain experts, and were randomized to interact with SELMA for 8 weeks either every day or every other day concerning CBT-based pain management (n=59), or weekly concerning content not related to pain management (n=43). Pain-related impairment (primary outcome), general well-being, pain intensity, and the bond scale of working alliance were measured at baseline and postintervention. Intention to change behavior and pain duration were measured at baseline only, and acceptance postintervention was assessed via self-reporting instruments. Adherence was assessed via usage data.
From May 2018 to August 2018, 311 adults downloaded the SELMA app, 102 of whom consented to participate and met the inclusion criteria. The average age of the women (88/102, 86.4%) and men (14/102, 13.6%) participating was 43.7 (SD 12.7) years. Baseline group comparison did not differ with respect to any demographic or clinical variable. The intervention group reported no significant change in pain-related impairment (P=.68) compared to the control group postintervention. The intention to change behavior was positively related to pain-related impairment (P=.01) and pain intensity (P=.01). Working alliance with the TBHC SELMA was comparable to that obtained in guided internet therapies with human coaches. Participants enjoyed using the app, perceiving it as useful and easy to use. Participants of the intervention group replied with an average answer ratio of 0.71 (SD 0.20) to 200 (SD 58.45) conversations initiated by SELMA. Participants' comments revealed an appreciation of the empathic and responsible interaction with the TBHC SELMA. A main criticism was that there was no option to enter free text for the patients' own comments.
SELMA is feasible, as revealed mainly by positive feedback and valuable suggestions for future revisions. For example, the participants' intention to change behavior or a more homogenous sample (eg, with a specific type of chronic pain) should be considered in further tailoring of SELMA.
German Clinical Trials Register DRKS00017147; https://tinyurl.com/vx6n6sx, Swiss National Clinical Trial Portal: SNCTP000002712; https://www.kofam.ch/de/studienportal/suche/70582/studie/46326.
持续性疼痛是最常见的疾病之一,对身体、心理、社会和经济都有重大影响。利用完全自动化的基于文本的医疗保健聊天机器人(TBHC)进行移动健康干预,不仅可能提供一种新的方法来提供应对策略和疼痛管理的心理教育,而且还可以在参与者和 TBHC 之间建立工作联盟。
本研究的目的有两个:(1)描述促进聊天机器人 painSELfMAnagement(SELMA)的设计和实施,SELMA 是一种基于智能手机的认知行为疗法(CBT)TBHC 干预措施,用于管理持续性或周期性疼痛患者的疼痛自我管理;(2)介绍一项初步随机对照试验的结果,评估了有效性、改变行为意图的影响、疼痛持续时间、工作联盟、接受度和依从性。
参与者通过在线招募,并与疼痛专家合作,随机分为两组:每天或每隔一天与 SELMA 互动 8 周,接受基于 CBT 的疼痛管理(n=59),或每周与不相关的疼痛管理内容互动(n=43)。疼痛相关障碍(主要结局)、总体幸福感、疼痛强度和工作联盟的债券量表在基线和干预后进行测量。意图改变行为和疼痛持续时间仅在基线时测量,接受度在干预后通过自我报告工具评估。依从性通过使用数据评估。
从 2018 年 5 月至 2018 年 8 月,共有 311 名成年人下载了 SELMA 应用程序,其中 102 人同意参加并符合纳入标准。参加者的平均年龄为女性(88/102,86.4%)和男性(14/102,13.6%)分别为 43.7(SD 12.7)岁。基线组比较在任何人口统计学或临床变量方面均无差异。干预组在干预后与对照组相比,疼痛相关障碍(P=.68)没有显著变化。意图改变行为与疼痛相关障碍(P=.01)和疼痛强度(P=.01)呈正相关。与人类教练指导的互联网治疗相比,TBHC SELMA 的工作联盟相当。参与者喜欢使用该应用程序,认为它有用且易于使用。干预组的参与者平均回复率为 0.71(SD 0.20),对 SELMA 发起的 200(SD 58.45)次对话进行了回复。参与者的评论表明,他们对与 TBHC SELMA 的同理心和负责任的互动感到赞赏。一个主要的批评是,患者没有输入自己评论的选项。
SELMA 是可行的,主要表现在积极的反馈和对未来修订的有价值的建议。例如,应该考虑参与者改变行为的意图或更同质的样本(例如,特定类型的慢性疼痛),以进一步调整 SELMA。
德国临床试验注册处 DRKS00017147;https://tinyurl.com/vx6n6sx,瑞士国家临床试验门户:SNCTP000002712;https://www.kofam.ch/de/studienportal/suche/70582/studie/46326。