Fondazione Bruno Kessler, Trento, Italy.
Department of General Psychology, University of Padova, Padova, Italy.
JMIR Hum Factors. 2024 Oct 18;11:e64614. doi: 10.2196/64614.
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.
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.
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.
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.
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.
技术的进步为支持孕妇和乳腺癌患者等弱势群体提供了新的机会，使他们能够在生理和心理压力大的时期得到支持。
本研究旨在改编和共同设计世界卫生组织的自助加干预措施，使其成为针对这些目标群体的移动健康干预措施。
基于肥胖相关行为干预试验和电子健康研究与疾病管理中心模型，开发了低保真度和高保真度原型。通过语义差异量表、用户版移动应用程序评分量表问卷和半结构化访谈，由来自不同领域的 13 名领域专家和 15 名目标群体参与者评估原型的可用性、吸引力和功能。
参与者的反馈表明对移动健康干预措施的积极看法，突出了其易用性、适当的语言和有吸引力的多媒体内容。确定需要改进的领域包括通过提醒、监测功能和增加个性化来增强用户参与度。内容质量和对初始协议的遵守得到了积极评价。
本研究为旨在提高应用程序的可用性、疗效和效果的未来研究提供了有价值的见解，表明聊天机器人提供的自助加干预措施可能作为孕妇和乳腺癌诊断女性的支持工具。
