Tobias Kowatsch
Title
Prof. Dr.
Last Name
Kowatsch
First name
Tobias
Email
tobias.kowatsch@unisg.ch
ORCID
Phone
+41 71 224 7244
Web Site
375 results
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Item type:Publication, Deep phenotyping of suicidal ideation after discharge from psychiatric inpatient care: study protocol for an interdisciplinary, multicentre prospective observational study in Psychiatric University Hospitals(BMJ, 2026-02) ;Anna Monn ;Stephanie Homan ;Jacopo Mocellin ;Schwarna Maria RajaLara KirchhoferIntroduction Suicidal thoughts and behaviours (STB) are a critical public health concern, with 700 000 deaths by suicide each year. The period immediately following hospital discharge is associated with an elevated risk for suicide. Monitoring suicidal ideations throughout this period is therefore critical. However, its highly dynamic nature limits the utility of traditional risk assessments through infrequent outpatient visits. Recent advancements in ambulatory assessments and multimodal predictive approaches offer a promising new avenue. Hence, the present study aims to examine how psychological, linguistic, neurobiological and smartphone-based characteristics relate to suicidal ideation and to improve STB monitoring through a deep phenotyping approach. Methods and analysis In this interdisciplinary, multicentre, prospective observational study, we plan to recruit a total of 200 inpatients with current and/or past STB. The study comprises the following components: (1) a baseline assessment, conducted while participants are still in the hospital. This includes interviews, an electroencephalography recording, a video-recorded verbal task and self-report questionnaires; (2) data collection through a smartphone application during the first 4 weeks after hospital discharge with two active collection weeks of five daily ecological momentary assessments and two 1 min video diaries every other day, as well as smartphone passive sensing for 28 consecutive days and (3) two follow-up assessments, 4 weeks and 3 months after discharge. The primary outcome is self-reported suicidal ideation after hospital discharge. Ethics and dissemination The Ethics Committee of the Faculty of Arts and Social Sciences of the University of Zurich, Switzerland, approved the study for the Zurich and Basel sites (Ref: 22.09.19). Approval for the New York Site was granted by the Institutional Review Board of NYU Langone Health (i23-00366). Study findings will be disseminated via peer-reviewed, open-access publications, conference presentations, patient and public events, and dedicated social media outlets. Trial registration number CRSII5_205913.Type:journal articleJournal:BMJ OpenVolume:16Issue:2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development, Deployment, and Evaluation of DyMand: Wearable AI for In-Situ Detection and Capture of Couples’ Dyadic Interactions in Chronic Disease Management(Association for Computing Machinery (ACM), 2026-07-24) ;Boateng, George ;Santhanam, Prabhakaran; ;Lüscher, JaninaPauly, TheresaDyadic interactions of couples are of interest as they provide insight into relationship quality and chronic disease management. Existing sensing systems primarily infer social structure within groups retrospectively, or capture couples’ interactions at random or scheduled times, which could miss meaningful interpersonal interactions between partners. In this work, we developed a smartwatch-based algorithm that detects interaction moments between partners and enables interaction-aware data capture in everyday settings. It uses the Bluetooth signal strength between two smartwatches, each worn by one partner, and a voice activity detection machine-learning model that we trained, to infer that the partners are interacting and then trigger data collection. We operationalized this sensing approach by developing, deploying, and evaluating DyMand, an open-source smartwatch and smartphone system that integrates multimodal sensor and self-report data collection in situ. We deployed the DyMand system in a 7-day field study and collected and analyzed data about social support and diabetes discussions from 13 (N=26) Swiss-based heterosexual couples managing diabetes mellitus type 2 of one partner. Our system evaluation showed that 77.6% of algorithm-triggered recordings contained partners’ conversation moments compared to 43.8% for scheduled triggers, and that DyMand was easy to use. Preliminary insights into disease management behavior revealed that 5.2% of couples’ conversation moments contained social support, and partners discussed diabetes management 2.4% of the time based on the audio data analyses. In contrast, the self-report data showed that patients received support in 67.7% of couples’ interactions and caregivers provided support in 71.8% of couples’ interactions. DyMand enables insights into dyadic behavior in-situ, and could be used by social, clinical, or health psychology researchers to understand the social dynamics of couples that are managing chronic diseases in everyday life to inform the development and delivery of behavioral interventions.Type:journal articleJournal:ACM Transactions on Computing for HealthcareDOI:10.1145/3833380 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Same Breath, Different Device: Comparing VR and Smartphone Biofeedback Breathing TrainingSlow breathing holds promise in strengthening mental resilience and reducing acute stress. Prior work presented distinct prototypes of smartphone and VR mobile biofeedback breathing trainings (MBBTs) but lacked direct comparisons. This study aimed to evaluate whether a VR MBBT offers advantages over smartphone MBBT in perceived (relaxation) effectiveness and intention to use, while maintaining non-inferiority in perceived breathing detection accuracy. A within-subject laboratory study with 67 participants was conducted. No evidence was found that the VR MBBT was perceived as more effective. The breathing detection algorithm, originally optimized for smartphones, was perceived as non-inferior in VR MBBT, indicating potential for cross-platform scalability. We found no evidence that intention to use was higher for VR, suggesting that practical considerations such as accessibility and cost may outweigh technology-based preferences. Although these findings are promising, future research must assess their applicability in the real world and ensure accessibility to VR for equitable use.Type:journal articleJournal:Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Impact of a Reward-and-Progression Loop on Engagement with a Mobile Breathing Training: Preliminary Findings from a 15-day Field Study(ACM, 2026-04-13) ;Lola Jo Ackermann ;Sarah Wehrli ;Helen Galliker; Engagement with digital health interventions (DHIs) often declines over time, with many users discontinuing use after initial adoption. Gamification has been proposed to address this challenge, yet evidence on its effectiveness remains mixed. This exploratory study examines whether a reward-and-progression loop (RPL), linking performance to daily-constrained collectible coins and unlockable visual features, is associated with differences in engagement in a mobile biofeedback breathing training (MBBT). Twenty participants were randomly assigned to a control or an RPL condition and used the application over 15 days. Engagement was operationalized using two metrics: the number of active days and median session duration per user. Participants in the RPL condition showed more active days than those in the control condition (median = 7 vs. 2). Session duration was comparable across conditions, though more variable in the RPL condition. These preliminary findings suggest that RPLs may support more frequent engagement in DHIs and warrant further investigation.Type:journal articleJournal:Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Association between working alliance and treatment outcomes in a mobile health intervention with a conversational agent (CanRelax)his study explored the association between the digital working alliance and treatment outcomes in users of a fully automated mobile health app with a conversational agent (CanRelax app 2.0), which was effective in reducing distress in adults with cancer. This expands research about the working alliance association to an innovative setting. Drawing on secondary data from a randomized controlled trial, we examined whether the strength of the working alliance—and its three subcomponents: bond, task, goal—assessed at week 4 using the Working Alliance Inventory for Internet Interventions, was related to distress levels at week 10. The analysis population consisted of adults diagnosed with cancer in the past five years who received the CanRelax app 2.0 (N = 117). Participants accessed a conversational agent–guided intervention featuring mindfulness, relaxation, and personalized weekly coaching modules with behavior change techniques. Mean subscale scores (bond: 4.04, SD = 0.95; goal: 3.46, SD = 0.74; task: 2.79, SD = 0.75; 1–5 scale) indicated good working alliance. Partial correlations adjusting for baseline distress, sex, age, and treatment expectation indicated a small negative association between working alliance and distress (r = −0.18), particularly for the task and goal components. No significant association was found for the bond subscale in the overall sample. Associations were stronger in females, and baseline treatment expectations were positively related to working alliance. These findings suggest a stronger working alliance may contribute to better treatment outcomes in fully automated digital health interventions, and optimizing goal and task agreement could further enhance intervention effectiveness.Type:journal articleJournal:Internet InventionsVolume:44 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study(JMIR Publications, 2026-07-06) ;Shenoi, Akshaye ;Li, Tianze ;Jabir, Ahmad Ishqi ;Pitkethly, AmandaBackground Motivational interviewing (MI) is an effective approach for supporting health behaviorchange, but face-to-face delivery is resource-intensive and difficult to scale. Rule-based conversational agents (CAs) can improve access; however, their scripted interactions and limited language flexibility constrain MI delivery. While large language models (LLMs) are increasingly being used for MI coaching, their conversational fidelity and quality compared with human coaches and rule-based CAs remain understudied. Objective This study aimed to describe the development of an LLM-based CA, Artificially Intelligent Motivational Interviewing (Aimi), orchestrated with structured workflows, and to evaluate its feasibility, conversational fidelity, and user perceptions during MI coaching interactions. Methods We developed Aimi using structured LLM workflows designed to enhance MI fidelity. We conducted a within-participants study, where 18 adults interacted with (1) Aimi, (2) a novice MI-trained human coach, and (3) a rule-based CA during live text-based role-play coaching sessions. Transcripts were independently evaluated by an MI expert using the Motivational Interviewing Skill Code, Version 2.0 (MISC-2), to assess MI competency and fidelity. Participants completed a user experience questionnaire to provide general feedback and to assess session alliance, dialogue relevance, empathy, engagement, linguistic quality, and perceived motivation to change. Feedback from users was thematically summarized and categorized under strengths and weaknesses for each approach. Results Aimi achieved fidelity scores comparable to those of the novice human coach and higher than those of the rule-based CA on summary metrics, including higher reflection-to-question ratios (median 0.84, IQR 0.62-0.92 vs 0.62, IQR 0.42-0.74 vs 0.25, IQR 0.17-0.38), more complex reflections (median 66.67%, IQR 46.97%-76.92% vs 50%, IQR 34.38%-61.88% vs 0.00%, IQR 0%-50%), and greater elicitation of client change talk (median 90.83%, IQR 85.89%-100% vs 73.21%, IQR 63.10%-83.19% vs 66.67%, IQR 57.86%-81.94%). User experience ratings showed no significant differences across conditions. User feedback revealed distinct strengths and limitations across the coaching interactions. Participants described Aimi’s interactions as personalized, fluid, and adaptive, though sometimes overly reflective and lengthy. The novice human coach was viewed as empathetic and supportive but slow to respond, whereas the rule-based coach was viewed as efficient and structured yet limited in depth and personalization. Conclusions This study demonstrates the technical feasibility of structured LLM-workflows for MI coaching and their capacity to maintain conversational fidelity comparable to that of a novice MI-trained human coach. Given the role-play paradigm, single-rater coding, and small convenience sample, these comparative findings should be interpreted as exploratory. Our findings serve as a foundational baseline for the development of scalable behavior change interventions in clinical settings.Type:journal articleJournal:JMIR Formative ResearchVolume:10DOI:10.2196/94036 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Financial incentives and health coaching to improve glycemic outcomes among young adults with type 1 diabetes: A factorial randomized trial (SweetGoals)(Elsevier BV (Netherlands), 2026-09) ;Stanger, Catherine ;Nahum-Shani, Inbal; Lim-Liberty, FrancesAim This study aimed to improve glycemic control among young adults with type 1 diabetes (T1D), an at-risk and understudied population. Method N = 300 young adults with T1D recruited nationally were randomized to the factorial combination of (1) financial incentives targeting glucose checking and mealtime behaviors and (2) web health coaching focused on increasing motivation and goal setting for self-management behaviors. All received a smartphone app that accessed device data and provided weekly goal feedback. The intervention lasted 6 months. HbA1c (A1c) was assessed at baseline, +6 months, and +12 months. The mean number of glucose checking and mealtime goals met per week during the intervention were tested as mediators of intervention effects on A1c at 12 months. Results A1c was significantly reduced from baseline to +12 months across all participants. Indirect effects of both incentives and coaching on A1c reductions were significant and partially mediated by mealtime but not glucose checking goal achievement. There was no synergistic (interaction) effect of incentives and coaching. Conclusion Incentives and coaching both improved critical mealtime behavior but through different strategies. These results suggest that either intervention would be suitable for future testing and dissemination, and that lower cost of incentives may favor their prioritization.Type:journal articleJournal:Diabetes Research and Clinical PracticeVolume:239 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stakeholder-perceived value and reimbursement pathways for a voice assistant in dementia care: evidence from SwitzerlandObjectives Population ageing is driving up the prevalence of dementia and intensifying pressure on family carers and long-term care systems. Digital assistive technologies are widely promoted as part of the response, yet they seldom come with a workable reimbursement or implementation model. Using GRACE, an embodied voice assistant for people with dementia (PWD), as an empirical case, this study examines how stakeholder evidence can be translated into setting-specific reimbursement and implementation pathways within the Swiss healthcare system. Methods We conducted 23 semi-structured interviews with healthcare experts (n = 10), professional care staff (n = 9), insurance sector experts (n = 3) and one informal caregiver. German-language transcripts were analysed using codebook-informed thematic analysis and the Business Model Canvas. A policy-translation step distinguished participant statements, author inferences, and literature or policy input. Reporting follows COREQ. Results Stakeholders perceived potential value for PWD in companionship, cognitive activation, orientation and daily structure, and anticipated relief for caregivers. A pivotal finding was that home and institutional settings were expected to carry different requirements and therefore different payer logics. Financing was identified as the dominant barrier: basic mandatory insurance was seen as slow, costly and biased toward curative care, whereas out-of-pocket purchase, shared institutional ownership and supplementary or hybrid arrangements appeared more feasible in the near term. Caregiver acceptance, staff training and demonstrated effectiveness recurred as anticipated enablers. Conclusions Stakeholder evidence can translate perceived value into setting-specific reimbursement and implementation pathways, offering transferable guidance for assistive technologies whose benefits are expected to accumulate across users and care systems. For GRACE, we propose an exploratory pathway beginning with equitably safeguarded out-of-pocket deployment in home care, with movement towards supplementary, hybrid and, potentially, basic insurance contingent on evidence generation. A product split by care setting could align each variant with the payer most likely to benefit. The model is stakeholder-informed and requires validation with PWD and family caregivers. Public Interest Summary Dementia places growing pressure on families and on care services. Voice assistants may support people with early dementia, but it is often unclear who should pay for them and what evidence is needed. We interviewed 23 Swiss professionals, insurance sector experts and one family caregiver about GRACE, a research voice-assistant prototype. Stakeholders anticipated benefits such as companionship, daily structure and caregiver relief, but they had viewed a video rather than used the system. They expected home and residential-care settings to need different product designs and funding arrangements. We therefore propose an exploratory pathway that links each setting and expected benefit to a plausible payer and evidence requirement. Early self-pay or institutional use would require equity safeguards and cannot justify claims of cost savings. Because people with dementia were not interviewed and only one family caregiver participated, the findings describe stakeholder expectations and must be tested directly with intended users and families.Type:journal articleJournal:Health Policy and TechnologyVolume:15Issue:10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health equity readiness index for digital health organizationsBackground As healthcare becomes increasingly digitalized, new challenges and opportunities arise for advancing health equity. In response, a broad range of frameworks and recommendations have emerged to guide equitable innovation. Yet despite this momentum, real world progress remains limited and many digital health organizations (DHOs) struggle to translate health equity principles into concrete, actionable strategies. One promising avenue for closing this implementation gap lies in the use of organizational readiness assessments that not only diagnose current capacity but also help to define a roadmap for improvement. In response, this study introduces the Health Equity Readiness Index and a supporting novel self-assessment tool designed to support DHOs in evaluating and advancing their readiness to act on health equity. Methods Drawing on established frameworks from health equity, responsible AI, digital innovation, and organizational change, we created a five-dimensional Health Equity Readiness Index, encompassing strategy, governance, culture, data, and community collaboration. Each dimension was operationalized into 15 readiness indicators across four levels. A corresponding digital self-assessment tool was developed and evaluated for usability, acceptability, and perceived utility through user testing and a structured online survey targeting DHOs. Results The resulting tool provides a structured, low-barrier mechanism for DHOs to assess their current equity capacity and identify priority areas for improvement. Survey results (N = 124) showed broad applicability across diverse organizational contexts, with respondents spanning regions, service types, and roles. Participants rated the tool highly across all constructs (M ≥ 4.39/5). Qualitative feedback highlighted five overarching strengths (clarity, diagnostic value, actionability, usability, awareness) and three areas for future improvement (examples, customization, additional features). Overall, respondents perceived the tool as both relevant and actionable for guiding equity-oriented strategy. Conclusion This study contributes a novel framework and diagnostic tool for advancing organizational readiness for health equity in digital health, supporting DHOs in moving from intention to implementation. It also offers potential utility for funders, regulators, and health systems seeking to institutionalize equity through incentives or benchmarking.Type:journal articleJournal:International Journal for Equity in Health - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Early viability assessment of a Business-to-Consumer (B2C) model for digital diabetes screening in Switzerland(2026-01-28); Background Type 2 diabetes (T2D) represents a rapidly growing public health and economic burden. Although early intervention can reverse the progression of prediabetes, traditional risk screening remains underutilized. Digital biomarkers derived from smartphones and wearables offer scalable real-time detection, yet financial barriers constrain their integration into health systems. This study assesses the viability of a Business-to-Consumer (B2C) digital diabetes screening venture within the Swiss healthcare system. Methods The Innovating in Healthcare Framework was applied to evaluate system alignment across six factors: structure, financing, public policy, technology, consumers, and accountability. Financial viability was modeled using a Monte Carlo program for probabilistic breakeven estimation, and one- and two-way sensitivity analyses for key funnel, price, and CAC variables. A discounted cash flow model assessed value creation. Sustainability was evaluated across four dimensions: revenue potential, cost efficiency, managerial scalability, and technological adaptability. Results The venture showed strong alignment with consumer readiness, technology, and accountability, but weak fit in financing, public policy, and system structure. Financial modeling indicated positive cash flow in Year 4, with a 57% probability of breakeven within seven years. At 2917 users in Year 7, cumulative cash flow was slightly below zero. Profitability becomes feasible only when price ≥CHF 40, CAC ≤CHF 200, and screening participation ≥10%. Against a-priori thresholds, breakeven probability and NPV remain insufficient, while IRR often exceeds 20%. Long-term viability requires these conditions or transitioning to reimbursed B2B pathways. Conclusions A B2C model can reach financial viability under favorable price and acquisition thresholds, but its long-term sustainability ultimately depends on regulatory validation that enables reimbursement.Type:journal articleJournal:BMC Health Services ResearchVolume:26Issue:1