经世界卫生组织验证的压力管理干预措施 "自助+"的聊天机器人版本:共同设计和可用性测试

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-10-18 DOI:10.2196/64614
Valentina Fietta, Silvia Rizzi, Chiara De Luca, Lorenzo Gios, Maria Chiara Pavesi, Silvia Gabrielli, Merylin Monaro, Stefano Forti
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引用次数: 0

摘要

背景:科技的进步为弱势群体(如孕妇和被诊断患有乳腺癌的妇女)在生理和心理紧张时期提供了新的支持:技术的进步为在生理和心理紧张时期为孕妇和被诊断患有乳腺癌的妇女等弱势群体提供支持提供了新的机会:本研究旨在调整和共同设计世界卫生组织的 "自助加"(Self Help Plus),使之成为针对这些目标群体的移动健康干预措施:方法:基于 ORBIT 和 CeHRes 模型,开发了低保真和高保真原型。来自不同行业的 13 名领域专家和来自目标群体的 15 名参与者通过语义差异量表、uMARS 问卷和半结构化访谈对原型进行了评估,以评估可用性、吸引力和功能性:结果:参与者的反馈意见表明,他们对移动健康干预措施持积极看法,并强调了其易用性、恰当的语言和有吸引力的多媒体内容。需要改进的方面包括通过提醒、监测功能和增强个性化来提高用户参与度。内容的质量和对初始协议的遵守情况得到了积极评价:这项研究为今后的研究提供了有价值的见解,旨在提高应用程序的可用性、功效和有效性,表明聊天机器人提供的 "自助加 "干预作为一种支持性工具,对孕妇和确诊乳腺癌的妇女具有潜在的作用:
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A Chatbot-Based Version of the World Health Organization-Validated Self-Help Plus Intervention for Stress Management: Co-Design and Usability Testing.

Background: Advancements in technology offer new opportunities to support vulnerable populations, such as pregnant women and women diagnosed with breast cancer, during physiologically and psychologically stressful periods.

Objective: This study aims to adapt and co-design the World Health Organization's Self-Help Plus intervention into a mobile health intervention for these target groups.

Methods: On the basis of the Obesity-Related Behavioral Intervention Trials and Center for eHealth Research and Disease Management models, low-fidelity and high-fidelity prototypes were developed. Prototypes were evaluated by 13 domain experts from diverse sectors and 15 participants from the target groups to assess usability, attractiveness, and functionality through semantic differential scales, the User Version of the Mobile Application Rating Scale questionnaire, and semistructured interviews.

Results: Feedback from participants indicated positive perceptions of the mobile health intervention, highlighting its ease of use, appropriate language, and attractive multimedia content. Areas identified for improvement included enhancing user engagement through reminders, monitoring features, and increased personalization. The quality of the content and adherence to initial protocols were positively evaluated.

Conclusions: This research provides valuable insights for future studies aiming to enhance the usability, efficacy, and effectiveness of the app, suggesting the potential role of a chatbot-delivered Self-Help Plus intervention as a supportive tool for pregnant women and women with a breast cancer diagnosis.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
期刊最新文献
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