The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetes

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Anna L. Boggiss, Katie Babbott, Ānna Milford, Sian Ellett, Nathan Consedine, Susan Reid, Nic Cao, Alana Cavadino, Sarah Hopkins, Craig Jefferies, Martin de Bock, Anna Serlachius
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Abstract

Aim

Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was designed to evaluate the safety, usability and feasibility of ‘COMPASS,’ a self-compassion chatbot intervention.

Methods

Forty adolescents (aged 12–16 years) living with T1D participated in a 12-week, single-group feasibility study using a mixed methods approach. Usability was assessed via qualitative feedback and interviews, feasibility through app analytics and recruitment data, and safety by utilisation of distress risk management protocols. Psychosocial measures (including diabetes distress, strengths and resilience, self-efficacy, self-compassion, self-care behaviours and emotional well-being) were collected at baseline, 6- and 12-week follow-ups, alongside HbA1c at baseline and 12 weeks.

Results

Of 40 participants recruited, 32 (80%) completed the study. On average, participants completed 95% of modules started. Follow-up assessments showed promising reductions in diabetes distress, and improvements in resilience, self-efficacy, self-compassion and emotional well-being. Qualitative analysis highlighted strengths in engagement and relevance of information covered. Areas for improvement included increasing decision-making support to help alleviate the felt burden of diabetes.

Conclusions

The COMPASS chatbot was demonstrated to be safe, feasible and acceptable to adolescents living with T1D. Future research aims to conduct a hybrid type 1 effectiveness-implementation trial that will leverage updates in artificial intelligence to increase the flexibility and tailoring of responding.

Abstract Image

自我同情聊天机器人(COMPASS)对青少年1型糖尿病患者的可用性和可行性
目的:虽然青少年1型糖尿病患者(T1D)的痛苦发生率很高,但目前的临床护理往往资源不足,无法提供足够或及时的心理支持。目前的研究旨在评估自我同情聊天机器人“COMPASS”的安全性、可用性和可行性。方法:采用混合方法进行为期12周的单组可行性研究,研究对象为40名患有T1D的青少年(12-16岁)。可用性通过定性反馈和访谈进行评估,可行性通过应用程序分析和招聘数据进行评估,安全性通过使用遇险风险管理协议进行评估。在基线、6周和12周随访时收集心理社会测量(包括糖尿病困扰、优势和恢复力、自我效能、自我同情、自我护理行为和情绪健康),以及基线和12周时的糖化血红蛋白。结果:在招募的40名参与者中,32名(80%)完成了研究。平均而言,参与者完成了95%的模块。后续评估显示,糖尿病痛苦有望减少,恢复力、自我效能、自我同情和情绪健康都有改善。定性分析强调了所涵盖信息的参与和相关性方面的优势。需要改进的领域包括增加决策支持,以帮助减轻糖尿病的感觉负担。结论:COMPASS聊天机器人对于青少年T1D患者是安全、可行和可接受的。未来的研究旨在进行混合类型1的有效性实施试验,该试验将利用人工智能的更新来增加响应的灵活性和定制性。
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来源期刊
Diabetic Medicine
Diabetic Medicine 医学-内分泌学与代谢
CiteScore
7.20
自引率
5.70%
发文量
229
审稿时长
3-6 weeks
期刊介绍: Diabetic Medicine, the official journal of Diabetes UK, is published monthly simultaneously, in print and online editions. The journal publishes a range of key information on all clinical aspects of diabetes mellitus, ranging from human genetic studies through clinical physiology and trials to diabetes epidemiology. We do not publish original animal or cell culture studies unless they are part of a study of clinical diabetes involving humans. Categories of publication include research articles, reviews, editorials, commentaries, and correspondence. All material is peer-reviewed. We aim to disseminate knowledge about diabetes research with the goal of improving the management of people with diabetes. The journal therefore seeks to provide a forum for the exchange of ideas between clinicians and researchers worldwide. Topics covered are of importance to all healthcare professionals working with people with diabetes, whether in primary care or specialist services. Surplus generated from the sale of Diabetic Medicine is used by Diabetes UK to know diabetes better and fight diabetes more effectively on behalf of all people affected by and at risk of diabetes as well as their families and carers.”
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