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Record W4410581570 · doi:10.2196/70511

Use of a Wearable Self-Tracking Instrument by Refugees With Complex Posttraumatic Stress Disorder: A Qualitative Study of Psychotherapeutic Mediation and Engagement

2025· article· en· W4410581570 on OpenAlexvenueno aff
Lisa Groenberg Riisager, Stine Bjerrum Møeller, Jakob Eg Larsen, Thomas Blomseth Christiansen, Jesper Aagaard, Lotte Huniche

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMediationPsychologyPreprintQualitative researchRefugeeWearable computerTracking (education)PsychotherapistSociologyComputer science

Abstract

fetched live from OpenAlex

Background: Wearable self-tracking technologies are increasingly used in mental health care to enhance engagement and personalize treatment. However, most existing instruments focus on passive data collection or predefined symptom monitoring. Less attention has been given to tools that enable patients to actively track personally meaningful, self-defined mental health experiences as part of psychotherapy, particularly in vulnerable populations such as refugees with complex posttraumatic stress disorder (CPTSD). Objective: This study aimed to explore how the One Button Tracker (OBT), a novel single-purpose wearable self-tracking instrument that enables in-the-moment active registration of self-defined, personally relevant mental health phenomena, supports therapeutic engagement among refugees receiving psychotherapeutic treatment for CPTSD. Methods: This qualitative study was part of a larger participatory action research project conducted from 2022 to 2024 at a specialized clinic for trauma-affected refugees in Denmark. A total of 9 adult refugees diagnosed with CPTSD used the OBT during psychotherapy to actively track a personally relevant and collaboratively defined target phenomenon through a button press. The OBT provided vibrotactile feedback and stored timestamped data for therapeutic use. A total of 25 semistructured interviews were conducted across 3 time points: before, during, and after treatment. Reflexive thematic analysis guided by a postphenomenological framework was used to explore how the technologies mediate experience. Results: Participants (6 women and 3 men, median age 47 years, IQR 31-57 years) had lived in Denmark for an average of 21.4 years. The duration of OBT use ranged from 22 to 366 days. Participants tracked between 2 and 14 different phenomena and registered between 37 and 4733 events in total during their courses of treatment. Thematic analysis revealed five central themes that captured the multistable character of the OBT: (1) from external instrument to extension of the self, (2) mental switch, (3) faithful companion, (4) scarlet letter, and (5) emergency lifeline. Patients described the OBT as a meaningful anchor in distressing moments, enhancing emotional regulation, self-awareness, and continuity between sessions. The OBT's vibrotactile feedback was experienced as affirming and responsive, reinforcing a sense of being acknowledged and connected, even in the absence of direct therapist contact. However, the visibility of the OBT also introduced challenges, including stigma and altered social dynamics. Conclusions: The OBT functioned as an active mediator in therapy. It supported in-the-moment tracking of personal experiences, encouraged agency and emotional regulation, and helped patients feel connected to their therapist outside of sessions. The vibrotactile feedback played a key role in how the OBT was embodied and interpreted. These findings highlight the value of designing digital mental health technologies incorporating active self-tracking that emphasize relational use, experiential meaning, and personalization. A focus on simplistic design, adaptability, and patient-defined use may enhance therapeutic relevance, especially in settings where stigma or complexity limits engagement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.013
Scholarly communication0.0040.004
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.185
GPT teacher head0.537
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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