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. 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. Family members supported the patients in 269 out of 275 (97.8%) coaching sessions. Moreover, MAX led to improved cognitive and behavioral skills and an intervention completion rate of 75.5%. 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. A single-arm feasibility study in primary and secondary care settings was performed to assess MAX. 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. An interdisciplinary team of computer scientists, asthma experts, and young patients with their parents developed the intervention collaboratively.
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.
#Societal impact of nocturnal cough professional
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. 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. However, to date, it remains unclear whether conversational agents, in such a role, would be accepted and whether they can support this multistakeholder collaboration. 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.
Interactive Journal of Medical Research 315 articles.JMIR Public Health and Surveillance 1176 articles.Journal of Medical Internet Research 7628 articles.
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