Evaluation of a virtual coaching system eHealth intervention: A mixed methods observational cohort study in the Netherlands

Hurmuz, Marian Z.M.; Jansen-Kosterink, Stephanie; Beinema, Tessa; Fischer, Katrien; Akker, Harm op den; Hermens, Hermie

doi:10.1016/j.invent.2022.100501

Cited by 19 publications

(19 citation statements)

References 37 publications

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“…In particular, when patients are experts, they know what they are doing, but the technology did not take that into account and gave generic advice. The importance of more in-depth coaching content was also shown previously within virtual coaching for health behaviour change in general [37].…”

Section: Implications For Design Of Self-management Ehealth For Copdsupporting

confidence: 67%

Self-management of COPD supported by eHealth: Patients’ attitudes towards monitoring, risk prediction and virtual coaching

Hurmuz,

Braake,

Jansen-Kosterink

et al. 2023

Preprint

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Purpose Chronic obstructive pulmonary disease (COPD) has a high burden on patients, tremendously affecting their quality of life. For patients to be more pro-active, self-management is important. To improve self-management, health data collection is needed for monitoring, which can be used for risk predictions and personalised coaching. Within the RE-SAMPLE project, we want to include these features in an eHealth technology. This study aims to investigate the attitudes of adults with COPD towards health monitoring, risk predictions and virtual coaching. Methods We conducted workshops and interviews with persons diagnosed with COPD. Six persons participated in the workshops which focused on topics for virtual coaching. 10 Persons participated in the interviews focusing on monitoring, risk prediction and virtual coaching. Results For participants, collecting and having access to health data is an important aspect of health monitoring. Furthermore, participants were positive towards a technology which visualizes health data for monitoring. Regarding risk predictions, participants were not all convinced about its usefulness. Finally, participants were quite positive about including a virtual coach within a self-management eHealth technology. Conclusion Taking all into consideration, we noticed that most participants felt that persons who are more recently diagnosed with COPD would benefit more from using a self-management eHealth technology. Based on our findings, we discuss implications for design in this paper.

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Section: Implications For Design Of Self-management Ehealth For Copdsupporting

confidence: 67%

Self-management of COPD supported by eHealth: Patients’ attitudes towards monitoring, risk prediction and virtual coaching

Hurmuz,

Braake,

Jansen-Kosterink

et al. 2023

Preprint

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“…Eysenbach [30] described this event as the law of attrition in eHealth studies. The law of attrition we experienced in our study does not differ a lot from other eHealth studies (e.g., [31][32][33][34]). However, despite the decline in active users, we also noticed that there were quite a few participants who continued using LEAVES even after the 10-weeks of the study period.…”

Section: Main Ndingsmentioning

confidence: 40%

Can we support mourning older adults in their grief process with an e-mental health intervention?

Hurmuz

Brandl

Siderakis

et al. 2023

Preprint

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Purpose To ensure a sustainable and safe implementation of e-mental health interventions for mourning older adults, we need to know how these interventions are used and whether the target group accepts them. Consequently, this research investigates the user experience of an e-mental health intervention supporting mourning older adults, called LEAVES. Methods We conducted a crossover pilot study in the Netherlands among older adults who lost their spouse: one group started with using the e-mental health intervention, the other group started with a waiting period and then used the e-mental health intervention. For both groups, a follow-up period was scheduled after using the intervention. Participants completed several questionnaires during the study and were invited to join a focus group session. Results We started with a total of 96 older adults: 45 in the intervention group and 51 in the waitlist group. The mean age of the total group was 67.9 (SD = 8.5) years old and the group consisted of slightly more females (52.1%). Participants used LEAVES on average around five times during the ten week period. The participants had positive attitudes towards their experience with LEAVES, and on an individual level we noticed that for the majority LEAVES was helpful in decreasing their grief symptoms, depression or loneliness. Conclusions Implementing an e-mental health intervention for supporting older adults while processing the loss of their spouse is promising. In our paper, we propose several recommendations for future e-mental health interventions which are important to take into account to ensure their sustainable implementation.

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“…Studies on preferences regarding agent characters have shown that age is a deciding factor when it comes to choosing a digital companion. For instance, in Hurmuz et al ( 2022 ), older adults preferred personalized content when interacting with a digital companion. Furthermore, when looking at the features of a digital companion in terms of friendliness, expertise, reliability, authority, and involvement, the general and elderly population preferred a gendered digital companion, specifically a young female (ter Stal et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Argument-based human–AI collaboration for supporting behavior change to improve health

Kilic

Weck²,

Kampik³

et al. 2023

Front. Artif. Intell.

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This article presents an empirical requirement elicitation study for an argumentation-based digital companion for supporting behavior change, whose ultimate goal is the promotion and facilitation of healthy behavior. The study was conducted with non-expert users as well as with health experts and was in part supported by the development of prototypes. It focuses on human-centric aspects, in particular user motivations, as well as on expectations and perceptions regarding the role and interaction behavior of a digital companion. Based on the results of the study, a framework for person tailoring the agent's roles and behaviors, and argumentation schemes are proposed. The results indicate that the extent to which a digital companion argumentatively challenges or supports a user's attitudes and chosen behavior and how assertive and provocative the companion is may have a substantial and individualized effect on user acceptance, as well as on the effects of interacting with the digital companion. More broadly, the results shed some initial light on the perception of users and domain experts of “soft,” meta-level aspects of argumentative dialogue, indicating potential for future research.

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Evaluation of a virtual coaching system eHealth intervention: A mixed methods observational cohort study in the Netherlands

Cited by 19 publications

References 37 publications

Self-management of COPD supported by eHealth: Patients’ attitudes towards monitoring, risk prediction and virtual coaching

Self-management of COPD supported by eHealth: Patients’ attitudes towards monitoring, risk prediction and virtual coaching

Can we support mourning older adults in their grief process with an e-mental health intervention?

Argument-based human–AI collaboration for supporting behavior change to improve health

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