Collaborative Development of a Self-Tracking Assisted Psychotherapy Treatment Concept for Refugees With Complex Posttraumatic Stress Disorder: Participatory Action Research
Notice bibliographique
Résumé
BACKGROUND: Refugees are at high risk of severe mental health challenges due to exposure to war, torture, genocide, and childhood abuse. These experiences may lead to complex posttraumatic stress disorder (CPTSD), a condition that traditional treatments such as cognitive behavioral therapy and eye movement desensitization and reprocessing often struggle to treat adequately. Cultural complexity, limited relevance of standard interventions, and low adherence to therapeutic homework pose additional challenges. Self-tracking technologies offer a promising path for personalized mental health support in patients' everyday lives, but their integration into psychotherapy remains underexplored. OBJECTIVE: This study aimed to collaboratively develop a psychotherapeutic treatment concept for refugees with CPTSD by integrating a personalized, wearable self-tracking instrument, the One Button Tracker (OBT), into psychotherapy. The OBT allows patients to track subjective experiences in the moment they occur, offering a way to bridge therapy sessions and everyday life. METHODS: This study was conducted at a Danish trauma clinic specializing in treatment for refugees and veterans with posttraumatic stress disorder and CPTSD. A Participatory Action Research approach situated within the qualitative paradigm guided the process from November 2022 to April 2024. The codevelopment of the treatment concept involved therapists, patients, clinical psychology researchers, and human-computer interaction researchers (n=21). Qualitative data were gathered through patient interviews, therapist logbooks, and peer supervision sessions, and supplemented by self-tracking data from the OBT. RESULTS: Across 17 months, the team conducted 40 peer supervision sessions, 2 collaborative workshops, and 25 interviews with 9 patients who participated in therapy for 8 to 24 sessions. Self-tracking durations ranged from 22 to 366 days, covering 1 to 14 target phenomena per patient. The OBT was found to enhance patient engagement by supporting active symptom monitoring and reinforcing therapeutic interventions outside sessions. Therapists reported that the self-tracking data provided valuable insights into patients' lived experiences, supporting more personalized and context-sensitive interventions. The flexible use of the OBT also allowed patients to shift their focus from distressing symptoms to alternative coping strategies. Furthermore, the integration of self-tracking data strengthened the therapeutic alliance by improving communication and collaboration between patients and therapists. Some technical limitations affected data collection but did not substantially hinder the therapeutic process. CONCLUSIONS: This is the first study to use a Participatory Action Research approach to codevelop a psychotherapeutic treatment concept integrating self-tracking technology for refugees with CPTSD. Findings indicate that the OBT may improve patient engagement, increase adherence to therapeutic tasks, and strengthen the therapeutic alliance. The treatment concept shows promise as a transtheoretical and transdiagnostic approach, offering a flexible and personalized model for psychotherapy. Future research should refine the concept and examine its applicability across broader clinical contexts and populations.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,033 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,010 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,003 | 0,011 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».