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Developing and Testing the Efficacy of AI-Chatbot-Based

25. August 2026 aktualisiert von: National Taiwan University Clinical Trial Center, National Taiwan University Hospital

Developing and Testing the Efficacy of AI-Chatbot-Based Delivering Body-Mind- Spirit Integrated With Mindfulness Compassion Therapy in Improving Holistic Well-being and Depression for Breast Cancer Survivors: A Large-scale Multi-sites Study

this study aims to develop the Calm-Mind-Recovery-Journey AI-Chatbot delivering BMS-MC therapy for breast cancer survivors and examine its feasibility, acceptability, safety, and preliminary effects of holistic well-being and depressive levels, and coping skills (mindfulness status, self-compassion, emotional regulations), and breast cancer-specific QOL. The experiences of participants using AI-Chatbot will be explored.

Studienübersicht

Status

Noch keine Rekrutierung

Bedingungen

Intervention / Behandlung

Detaillierte Beschreibung

For the first and the second years, Phase I using retrieval-augmented generation (RAG), developing a rule-based "CalmRecoveryJourney" AI-Chatbot step to step guided BMS-MC, feedback system, 24-hour emotional support with human-loop escalation. Phase II Pilot evaluation using a mixed-methods design including the quantitative (a randomized waitlist-controlled trial, RCT) and qualitative methods (in-depth interview) in the 68 breast cancer survivors who completed active cancer treatments and will be recruited from breast cancer organizations, and social media. For the third year, a large-scale single-arm intervention with three repeated measurements (baseline, post-intervention, and follow-up) will be conducted across four geographic regions in Taiwan (North, Central, South, and East). A total of 200 breast cancer survivors from four regions will be recruited. The outcome measures include self-report questionnaires (WHO Well-Being Index and Patient Health Questionnaire-9, PHQ-9, Emotion Regulation Questionnaire, Five Facet Mindfulness Questionnaire, self-compassion scale, EORTC QLQ-BR45, wearable EEG online data and survivors' learning process data from the AI-Chabot system including adherence and engagement with AI-Chatbot. Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3). With intentional-to-treat GEE analysis and thematic qualitative analysis will be conducted.

Studientyp

Interventionell

Einschreibung (Geschätzt)

68

Phase

  • Unzutreffend

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

Studienorte

    • Taipei
      • Taipei, Taipei, Taiwan, 10051
        • National Taiwan University
        • Kontakt:

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Nein

Beschreibung

Inclusion Criteria:

Diagnosis of breast cancer completing the active cancer treatments (surgery, chemotherapy, radiotherapy) Aged at least 20 Owned a smartphone (Android or iOS) with Line access Ability to communicate with the AI chatbot Willingness to participate in the research and interact with the AI-chatbot during the intervention.

Exclusion Criteria:

Diagnosis of another type of cancer Current receipt of psychotherapy Another online psychosocial or mental health intervention The presence of cognitive impairment or severe mental health conditions

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

  • Hauptzweck: Unterstützende Pflege
  • Zuteilung: Zufällig
  • Interventionsmodell: Parallele Zuordnung
  • Maskierung: Doppelt

Waffen und Interventionen

Teilnehmergruppe / Arm
Intervention / Behandlung
Experimental: experimental group
AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy
CalmRecoveryJourney is a rule-based AI-Chatbot implemented through Line platform which guides survivors step by step complete 6-week Modules: BMS empowerment strategies, Structured Mindfulness skills and Compassion-based skills. The modules for each session contents will be developed based on our previous intervention studies on BMS-MC for breast cancer survivors, lung cancer survivors and their caregivers (Hsiao et al., 2012; Hsiao et al., 2016; Hsiao et al., 2022; Hsiao et al., 2025a; Hsiao et al.,2025b), and update literature review. BMS-MC consists of BMS empowerment strategies and mindfulness/compassion to enhance breast cancer survivors' holistic well-being and emotional regulation skills (mindfulness, self-compassion).
Aktiver Komparator: waitlist control group
CalmRecoveryJourney is a rule-based AI-Chatbot implemented through Line platform which guides survivors step by step complete 6-week Modules: BMS empowerment strategies, Structured Mindfulness skills and Compassion-based skills. The modules for each session contents will be developed based on our previous intervention studies on BMS-MC for breast cancer survivors, lung cancer survivors and their caregivers (Hsiao et al., 2012; Hsiao et al., 2016; Hsiao et al., 2022; Hsiao et al., 2025a; Hsiao et al.,2025b), and update literature review. BMS-MC consists of BMS empowerment strategies and mindfulness/compassion to enhance breast cancer survivors' holistic well-being and emotional regulation skills (mindfulness, self-compassion).

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Patient Health Questionnaire-9, PHQ-9
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)

Unabbreviated Scale Title: Patient Health Questionnaire-9

Minimum and Maximum Values: 0 to 27

Outcome Direction: Higher scores indicate a worse outcome (greater severity of depressive symptoms).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
WHO Well-Being Index
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).

Unabbreviated Scale Title: World Health Organization-Five Well-Being Index

Minimum and Maximum Values: 0 to 25 (often converted to a percentage score from 0 to 100 by multiplying the raw score by 4)

Outcome Direction: Higher scores indicate a better outcome (higher level of well-being).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Emotion Regulation Questionnaire
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)

Unabbreviated Scale Title: Emotion Regulation Questionnaire

Minimum and Maximum Values:

Cognitive Reappraisal Subscale: 6 to 42

Expressive Suppression Subscale: 4 to 28

Outcome Direction: Higher scores indicate greater endorsement/use of that specific emotion regulation strategy. Whether higher scores mean a better or worse outcome depends on context, though Cognitive Reappraisal is generally considered adaptive (better outcome) and Expressive Suppression is often associated with maladaptive outcomes (worse outcome).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Five Facet Mindfulness Questionnaire
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).

Unabbreviated Scale Title: Five Facet Mindfulness Questionnaire (15-item short form)

Minimum and Maximum Values: 15 to 75 total score (or 3 to 15 for each of the 5 individual subscales)

Outcome Direction: Higher scores indicate a better outcome (higher overall level of mindfulness).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
self-compassion scale
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).

Unabbreviated Scale Title: Self-Compassion Scale (or Self-Compassion Scale - Short Form)

Minimum and Maximum Values: 1 to 5 mean score (calculated by averaging item scores)

Outcome Direction: Higher scores indicate a better outcome (higher level of self-compassion).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
EORTC QLQ-BR45
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)

Unabbreviated Scale Title: European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Breast Cancer Module (45 items)

Minimum and Maximum Values: Raw scores are transformed linearly into a standardized score ranging from 0 to 100 for all subscales.

Outcome Direction:

Functional Scales / Single Items: Higher scores indicate a better outcome (a higher/better level of functioning).

Symptom Scales / Single Items: Higher scores indicate a worse outcome (a higher level of symptoms or problems).

Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
wearable EEG power in alpha band
Zeitfenster: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
wearable EEG power in alpha band
Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Ermittler

  • Hauptermittler: Fei-Hsiu FH Hsiao, PhD, National Taiwan University

Publikationen und hilfreiche Links

Die Bereitstellung dieser Publikationen erfolgt freiwillig durch die für die Eingabe von Informationen über die Studie verantwortliche Person. Diese können sich auf alles beziehen, was mit dem Studium zu tun hat.

Allgemeine Veröffentlichungen

  • Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020). Effectiveness and safety of using chatbots to improve mental health: Systematic review and meta-analysis. Journal of Medical Internet Research, 22(7), e16021. https://doi.org/10.2196/16021 Boie, S. D., Glastetter, E., Lux, M. P., Balzer, F., von Kalle, C., Lenz, C., & Müller, U. (2025). Evaluating a chatbot as a companion for patients with breast cancer: Collaborative pilot study. JMIR Cancer, 11, e68426. Brown, T., Cruickshank, S., & Noblet, M. (2021). Specialist breast care nurses for support of women with breast cancer. The Cochrane Database of Systematic Reviews, 2(2), CD005634. https://doi.org/10.1002/14651858.CD005634.pub3 Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. Dec 1983;24(4):385. Bornemann B, Singer T. Taking time to feel our body: steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. Psychophysiology. Mar 2017;54(3):469-482. Chakraborty, C., Pal, S., Bhattacharya, M., Dash, S., & Lee, S.-S. (2023). Overview of chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence, 6. Conţ, M., Ciupe, A., Orza, B., Cohuţ, I., & Niţu, G. (2022). Career counseling chatbot using Microsoft bot frameworks. In I. Kallel, H. Kammoun, & L. Hsairi (Eds.), 2022 IEEE Global Engineering Education Conference (EDUCON) (pp. 1387-1392). IEEE. Duan, W., Klibert, J., Schotanus-Dijkstra, M., Llorens, S., van den Heuvel, M., Mayer, C. H., Tomasulo, D., Liao, Y., & van Zyl, L. E. (2022). Editorial: Positive psychological interventions: How, when and why they work: Beyond WEIRD contexts. Frontiers in Psychology, 13, 1021539. https://doi.org/10.3389/fpsyg

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

1. August 2027

Primärer Abschluss (Geschätzt)

31. Juli 2032

Studienabschluss (Geschätzt)

31. Juli 2032

Studienanmeldedaten

Zuerst eingereicht

12. August 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

25. August 2026

Zuerst gepostet (Tatsächlich)

27. August 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

27. August 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

25. August 2026

Zuletzt verifiziert

1. August 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Andere Studien-ID-Nummern

  • 202604050RINE

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Beschreibung des IPD-Plans

Patient Privacy

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Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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