@文章{信息:doi/10.2196/25060，作者=“Kowatsch, Tobias和Schachner, Theresa和Harperink, Samira和Barata, Filipe和Dittler, Ullrich和Xiao, Grace和Stanger, Catherine和v Wangenheim, Florian和Fleisch, Elgar和Oswald, Helmut和M{\“o}ller, Alexander”，标题=“会话代理在慢性疾病管理中的社会行为体中介作用:涉及医疗保健专业人员、患者和家庭成员;多站点单臂可行性研究”，期刊=“J Med Internet Res”，年=“2021”，月=“Feb”，日=“17”，卷=“23”，号=“2”，页=“e25060”，关键词=“数字健康干预;干预设计;移动健康;电子健康;聊天机器人;会话剂;慢性疾病;哮喘;背景:慢性疾病的成功管理需要卫生保健专业人员、患者和家庭成员之间的信任合作。 Scalable conversational agents, designed to assist health care professionals, may play a significant role in supporting this collaboration in a scalable way by reaching out to the everyday lives of patients and their family members. However, to date, it remains unclear whether conversational agents, in such a role, would be accepted and whether they can support this multistakeholder collaboration. Objective: With asthma in children representing a relevant target of chronic disease management, this study had the following objectives: (1) to describe the design of MAX, a conversational agent--delivered asthma intervention that supports health care professionals targeting child-parent teams in their everyday lives; and (2) to assess the (a) reach of MAX, (b) conversational agent--patient working alliance, (c) acceptance of MAX, (d) intervention completion rate, (e) cognitive and behavioral outcomes, and (f) human effort and responsiveness of health care professionals in primary and secondary care settings. Methods: MAX was designed to increase cognitive skills (ie, knowledge about asthma) and behavioral skills (ie, inhalation technique) in 10-15-year-olds with asthma, and enables support by a health professional and a family member. To this end, three design goals guided the development: (1) to build a conversational agent--patient working alliance; (2) to offer hybrid (human- and conversational agent--supported) ubiquitous coaching; and (3) to provide an intervention with high experiential value. An interdisciplinary team of computer scientists, asthma experts, and young patients with their parents developed the intervention collaboratively. The conversational agent communicates with health care professionals via email, with patients via a mobile chat app, and with a family member via SMS text messaging. A single-arm feasibility study in primary and secondary care settings was performed to assess MAX. Results: Results indicated an overall positive evaluation of MAX with respect to its reach (49.5{\%}, 49/99 of recruited and eligible patient-family member teams participated), a strong patient-conversational agent working alliance, and high acceptance by all relevant stakeholders. Moreover, MAX led to improved cognitive and behavioral skills and an intervention completion rate of 75.5{\%}. Family members supported the patients in 269 out of 275 (97.8{\%}) coaching sessions. Most of the conversational turns (99.5{\%}) were conducted between patients and the conversational agent as opposed to between patients and health care professionals, thus indicating the scalability of MAX. In addition, it took health care professionals less than 4 minutes to assess the inhalation technique and 3 days to deliver related feedback to the patients. Several suggestions for improvement were made. Conclusions: This study provides the first evidence that conversational agents, designed as mediating social actors involving health care professionals, patients, and family members, are not only accepted in such a ``team player'' role but also show potential to improve health-relevant outcomes in chronic disease management. ", issn="1438-8871", doi="10.2196/25060", url="//www.mybigtv.com/2021/2/e25060/", url="https://doi.org/10.2196/25060", url="http://www.ncbi.nlm.nih.gov/pubmed/33484114" }