在COVID-19大流行期间改善1型糖尿病青少年的幸福感:探索自我同情聊天机器人的可接受性和临床可用性的定性研究

Q2 Medicine JMIR Diabetes Pub Date : 2023-05-05 DOI:10.2196/40641
Anna Boggiss, Nathan Consedine, Sarah Hopkins, Connor Silvester, Craig Jefferies, Paul Hofman, Anna Serlachius
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引用次数: 4

摘要

背景:在2019冠状病毒病大流行之前,患有1型糖尿病(T1D)的青少年的心理困扰率已经远远高于同龄人。随着大流行进一步挑战心理健康并增加维持最佳糖尿病自我管理的障碍,至关重要的是,这一人群能够获得远程可提供的、基于证据的干预措施,以改善心理和糖尿病结局。聊天机器人被定义为数字对话代理,它提供了这些独特的优势,以及全天候进行移情和个性化对话的能力。在先前为患有T1D的青少年开发自我同情项目的基础上,为患有T1D的青少年开发了一个自我同情聊天机器人(COMPASS)来解决这些问题。然而,聊天机器人为患有T1D的青少年提供自我同情应对工具的可接受性和潜在的临床可用性仍然未知。目的:本定性研究旨在评估COMPASS在12至16岁青少年T1D和糖尿病医护人员中的可接受性和潜在的临床应用。方法:从以前的参与者名单、网络和临床研究传单中招募潜在的青少年参与者,而通过诊所电子邮件和糖尿病研究特殊兴趣小组招募卫生保健专业人员。从2022年3月至2022年4月,对19名青少年(4个焦点小组)和11名糖尿病医护人员(2个焦点小组和6个个人访谈)进行了定性Zoom (Zoom Video Communications, Inc)访谈,探讨了对COMPASS的看法。使用直接内容分析来分析转录本,以检查对两组最重要的特征和内容。结果:青少年在奥特罗阿青年T1D人群中具有广泛的代表性(11/19,女性58%;13/19, 68% Aotearoa新西兰欧洲人;2/19, 11% Māori)。卫生保健专业人员代表了一系列学科,包括糖尿病护理专家(3/11,27%)、健康心理学家(3/11,27%)、营养师(3/11,27%)和内分泌学家(2/11,18%)。研究结果揭示了患有T1D的青少年及其卫生保健专业人员认为COMPASS的共同优势和期望的未来补充,如个性化(所有19名青少年提到),自我管理支持(13/19,68%的青少年提到),临床实用性(所有11名卫生保健专业人员提到),以及工具的广度和灵活性(10/11,91%的卫生保健专业人员提到)。结论:早期数据表明COMPASS是可接受的,与常见困难相关,并且在COVID-19大流行期间具有临床实用性。然而,两组都有共同的期望特征,包括解决问题和整合糖尿病技术以支持自我管理;创造一种安全的点对点社区意识;扩大文化、生活经历故事和糖尿病挑战的代表性,可以进一步提高聊天机器人的潜力。根据这些调查结果,目前正在改进COMPASS,以便在可行性研究中加以检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot.

Background: Before the COVID-19 pandemic, adolescents with type 1 diabetes (T1D) had already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital that this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24-7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot (COMPASS) was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown.

Objective: This qualitative study was designed to evaluate the acceptability and potential clinical utility of COMPASS among adolescents aged 12 to 16 years with T1D and diabetes health care professionals.

Methods: Potential adolescent participants were recruited from previous participant lists, and on the web and in-clinic study flyers, whereas health care professionals were recruited via clinic emails and from diabetes research special interest groups. Qualitative Zoom (Zoom Video Communications, Inc) interviews exploring views on COMPASS were conducted with 19 adolescents (in 4 focus groups) and 11 diabetes health care professionals (in 2 focus groups and 6 individual interviews) from March 2022 to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups.

Results: Adolescents were broadly representative of the youth population living with T1D in Aotearoa (11/19, 58% female; 13/19, 68% Aotearoa New Zealand European; and 2/19, 11% Māori). Health care professionals represented a range of disciplines, including diabetes nurse specialists (3/11, 27%), health psychologists (3/11, 27%), dieticians (3/11, 27%), and endocrinologists (2/11, 18%). The findings offer insight into what adolescents with T1D and their health care professionals see as the shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13/19, 68% of adolescents), clinical utility (mentioned by all 11 health care professionals), and breadth and flexibility of tools (mentioned by 10/11, 91% of health care professionals).

Conclusions: Early data suggest that COMPASS is acceptable, is relevant to common difficulties, and has clinical utility during the COVID-19 pandemic. However, shared desired features among both groups, including problem-solving and integration with diabetes technology to support self-management; creating a safe peer-to-peer sense of community; and broadening the representation of cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. On the basis of these findings, COMPASS is currently being improved to be tested in a feasibility study.

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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
期刊最新文献
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