Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial DOI Creative Commons
Johannes Knauer, Harald Baumeister, Andreas Schmitt

et al.

Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6

Published: May 28, 2024

Background Mental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through devices, is an innovative diagnostic approach that can support mental screening and intervention. However, the acceptance of this technology remains unclear. Grounded on Unified Theory Acceptance Use Technology (UTAUT), study aimed to investigate (1) smart sensing in a diabetes sample, (2) determinants acceptance, (3) effectiveness facilitating intervention (AFI). Methods A total N = 132 participants were randomized group (IG) or control (CG). The IG received video-based AFI CG educational video mindfulness. its potential assessed online questionnaire as single post-measurement. self-reported behavioral intention, interest using application installation outcomes. data analyzed latent structural equation modeling t-tests. Results at baseline was average ( M 12.64, SD 4.24) 27.8% showing low, 40.3% moderate, 31.9% high acceptance. Performance expectancy γ 0.64, p < 0.001), social influence 0.23, .032) trust 0.27, .040) identified explaining 84% variance. SEM model fit acceptable (RMSEA 0.073, SRMR 0.059). did not significantly impact 0.25, 95%-CI: −0.16–0.65, .233), (OR 0.76, 95% CI: 0.38–1.52, .445) app rates 1.13, 0.47–2.73, .777). Discussion variance supports need for procedures. supported performance expectancy, influence, acceptance; perceived benefit most influential factor towards significant. Future research should further explore factors contributing address implementation barriers.

Language: Английский

Driving Success: Leveraging Strategic Decision-Making and Digital Technology for Sustainable Performance" DOI Creative Commons
Diana Escandón‐Barbosa, Jairo Salas‐Paramo

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2025, Volume and Issue: unknown, P. 100536 - 100536

Published: April 1, 2025

Language: Английский

Citations

0
The Relation between passively collected GPS mobility metrics and depressive symptoms: A systematic review and meta-analysis. (Preprint) DOI Creative Commons
Yannik Terhorst, Johannes Knauer, Paula Philippi

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e51875 - e51875

Published: July 26, 2024

The objective, unobtrusively collected GPS features (eg, homestay and distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, date, there is no systematic meta-analytical evidence on the associations between

Language: Английский

Citations

3
Psychotherapy 2.0 - Application context and effectiveness of sensor technology in psychotherapy with children and adolescents: A systematic review DOI Creative Commons
Annika Kristin Alt, Anja Pascher, Lennart Seizer

et al.

Internet Interventions, Journal Year: 2024, Volume and Issue: 38, P. 100785 - 100785

Published: Nov. 6, 2024

Language: Английский

Citations

1
Flipping a Mental Switch: A Qualitative Study on Refugees' Experiences with a Wearable, Personalized Self-Tracking Instrument during Psychotherapy for Complex PTSD (Preprint) DOI
Lisa Groenberg Riisager, Stine Bjerrum Møeller, Jakob Eg Larsen

et al.

Published: Dec. 23, 2024

BACKGROUND Wearable self-tracking technologies are increasingly recognized for their potential to enhance therapeutic engagement and personalize treatment. While many instruments emphasize passive data collection, role in actively mediating processes remains underexplored. This study explores how the One Button Tracker (OBT), a novel single-purpose wearable instrument, supports psychotherapeutic treatment by enabling patients track self-defined, personally relevant phenomena during daily lives. OBJECTIVE To explore OBT mediates process patients’ lives, focusing on its impact engagement, self-awareness, relationship. METHODS qualitative was part of larger Participatory Action Research project conducted at specialized clinic trauma survivors Denmark. Nine patients, refugees diagnosed with Complex PTSD, used as therapy. Semi-structured interviews were three stages: before, during, after Thematic analysis analyze data, guided postphenomenological framework mediation human-world relations. RESULTS identified five key themes describing OBT’s multistable roles: (1) From external instrument extension self (2) mental switch (3) faithful companion (4) scarlet letter, (5) emergency lifeline. The supported interventions moments distress, enhanced emotional regulation, strengthened relationship extending influence beyond clinical sessions. Its simplicity vibrotactile feedback facilitated usability, while multistability allowed adapt use intentions contexts. However, presence sometimes visibility introduced complex social dynamics, amplifying both stigma depending individual circumstances context. CONCLUSIONS findings suggest that acts an active mediator process, fostering agency, engagement. By shifting focus from collection meaningful interaction highlights shape experiences. These insights underscore value designing digital health prioritize simplicity, multistability, relational support personalized context-sensitive care.

Language: Английский

Citations

0
Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial DOI Creative Commons
Johannes Knauer, Harald Baumeister, Andreas Schmitt

et al.

Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6

Published: May 28, 2024

Background Mental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through devices, is an innovative diagnostic approach that can support mental screening and intervention. However, the acceptance of this technology remains unclear. Grounded on Unified Theory Acceptance Use Technology (UTAUT), study aimed to investigate (1) smart sensing in a diabetes sample, (2) determinants acceptance, (3) effectiveness facilitating intervention (AFI). Methods A total N = 132 participants were randomized group (IG) or control (CG). The IG received video-based AFI CG educational video mindfulness. its potential assessed online questionnaire as single post-measurement. self-reported behavioral intention, interest using application installation outcomes. data analyzed latent structural equation modeling t-tests. Results at baseline was average ( M 12.64, SD 4.24) 27.8% showing low, 40.3% moderate, 31.9% high acceptance. Performance expectancy γ 0.64, p < 0.001), social influence 0.23, .032) trust 0.27, .040) identified explaining 84% variance. SEM model fit acceptable (RMSEA 0.073, SRMR 0.059). did not significantly impact 0.25, 95%-CI: −0.16–0.65, .233), (OR 0.76, 95% CI: 0.38–1.52, .445) app rates 1.13, 0.47–2.73, .777). Discussion variance supports need for procedures. supported performance expectancy, influence, acceptance; perceived benefit most influential factor towards significant. Future research should further explore factors contributing address implementation barriers.

Language: Английский

Citations

0