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评估基于文本的对话代理提供哮喘支持的可行性:一项混合方法观察性研究方案。

Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study.

作者信息

Calvo Rafael A, Peters Dorian, Moradbakhti Laura, Cook Darren, Rizos Georgios, Schuller Bjoern, Kallis Constantinos, Wong Ernie, Quint Jennifer

机构信息

Dyson School of Design Engineering, Imperial College London, London, United Kingdom.

Department of Computing, Imperial College London, London, United Kingdom.

出版信息

JMIR Res Protoc. 2023 Feb 2;12:e42965. doi: 10.2196/42965.

Abstract

BACKGROUND

Despite efforts, the UK death rate from asthma is the highest in Europe, and 65% of people with asthma in the United Kingdom do not receive the professional care they are entitled to. Experts have recommended the use of digital innovations to help address the issues of poor outcomes and lack of care access. An automated SMS text messaging-based conversational agent (ie, chatbot) created to provide access to asthma support in a familiar format via a mobile phone has the potential to help people with asthma across demographics and at scale. Such a chatbot could help improve the accuracy of self-assessed risk, improve asthma self-management, increase access to professional care, and ultimately reduce asthma attacks and emergencies.

OBJECTIVE

The aims of this study are to determine the feasibility and usability of a text-based conversational agent that processes a patient's text responses and short sample voice recordings to calculate an estimate of their risk for an asthma exacerbation and then offers follow-up information for lowering risk and improving asthma control; assess the levels of engagement for different groups of users, particularly those who do not access professional services and those with poor asthma control; and assess the extent to which users of the chatbot perceive it as helpful for improving their understanding and self-management of their condition.

METHODS

We will recruit 300 adults through four channels for broad reach: Facebook, YouGov, Asthma + Lung UK social media, and the website Healthily (a health self-management app). Participants will be screened, and those who meet inclusion criteria (adults diagnosed with asthma and who use WhatsApp) will be provided with a link to access the conversational agent through WhatsApp on their mobile phones. Participants will be sent scheduled and randomly timed messages to invite them to engage in dialogue about their asthma risk during the period of study. After a data collection period (28 days), participants will respond to questionnaire items related to the quality of the interaction. A pre- and postquestionnaire will measure asthma control before and after the intervention.

RESULTS

This study was funded in March 2021 and started in January 2022. We developed a prototype conversational agent, which was iteratively improved with feedback from people with asthma, asthma nurses, and specialist doctors. Fortnightly reviews of iterations by the clinical team began in September 2022 and are ongoing. This feasibility study will start recruitment in January 2023. The anticipated completion of the study is July 2023. A future randomized controlled trial will depend on the outcomes of this study and funding.

CONCLUSIONS

This feasibility study will inform a follow-up pilot and larger randomized controlled trial to assess the impact of a conversational agent on asthma outcomes, self-management, behavior change, and access to care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/42965.

摘要

背景

尽管做出了努力,但英国的哮喘死亡率在欧洲仍是最高的,而且英国65%的哮喘患者未得到他们应享有的专业护理。专家建议利用数字创新来帮助解决治疗效果不佳和缺乏护理服务的问题。一个基于短信自动发送的对话代理程序(即聊天机器人),旨在通过手机以熟悉的形式提供哮喘支持服务,它有潜力帮助不同人群的哮喘患者,并能大规模发挥作用。这样一个聊天机器人有助于提高自我评估风险的准确性,改善哮喘自我管理,增加获得专业护理的机会,并最终减少哮喘发作和紧急情况。

目的

本研究的目的是确定一个基于文本的对话代理程序的可行性和可用性,该程序处理患者的文本回复和简短的语音录音样本,以计算其哮喘发作风险的估计值,然后提供降低风险和改善哮喘控制的后续信息;评估不同用户群体的参与程度,特别是那些未获得专业服务的用户和哮喘控制不佳的用户;评估聊天机器人用户认为它对提高他们对自身病情的理解和自我管理有多大帮助。

方法

我们将通过四个渠道广泛招募300名成年人:脸书、舆观调查网、英国哮喘与肺病协会社交媒体以及Healthily网站(一款健康自我管理应用程序)。将对参与者进行筛选,符合纳入标准(被诊断患有哮喘且使用WhatsApp的成年人)的参与者将获得一个链接,通过手机上的WhatsApp访问对话代理程序。在研究期间,将向参与者发送定时和随机定时的信息,邀请他们就其哮喘风险进行对话。在数据收集期(28天)结束后,参与者将回答与互动质量相关的问卷项目。一份干预前后的问卷将测量干预前后的哮喘控制情况。

结果

本研究于2021年3月获得资助,并于2022年1月开始。我们开发了一个对话代理程序原型,并根据哮喘患者、哮喘护士和专科医生的反馈进行了迭代改进。临床团队从2022年9月开始对迭代版本进行每两周一次的审查,目前仍在进行中。这项可行性研究将于2023年1月开始招募。预计研究将于2023年7月完成。未来的随机对照试验将取决于本研究的结果和资金情况。

结论

这项可行性研究将为后续的试点研究和更大规模的随机对照试验提供信息,以评估对话代理程序对哮喘治疗效果、自我管理、行为改变和获得护理服务的影响。

国际注册报告识别号(IRRID):PRR1-10.2196/42965。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dac/9936366/e76a2c15a3e8/resprot_v12i1e42965_fig1.jpg

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