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Developing and Testing the Efficacy of AI-Chatbot-Based

25 augustus 2026 bijgewerkt door: 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.

Studie Overzicht

Toestand

Nog niet aan het werven

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

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.

Studietype

Ingrijpend

Inschrijving (Geschat)

68

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Locaties

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

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Beschrijving

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

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Ondersteunende zorg
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Dubbele

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: experimental group
AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy
Gedragsmatig: 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).
Actieve vergelijker: waitlist control group
Gedragsmatig: 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).

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Patient Health Questionnaire-9, PHQ-9
Tijdsspanne: 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
Tijdsspanne: 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).

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Emotion Regulation Questionnaire
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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)

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

National Taiwan University Hospital

Onderzoekers

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

Publicaties en nuttige links

De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.

Algemene publicaties

  • 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

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

1 augustus 2027

Primaire voltooiing (Geschat)

31 juli 2032

Studie voltooiing (Geschat)

31 juli 2032

Studieregistratiedata

Eerst ingediend

12 augustus 2026

Eerst ingediend dat voldeed aan de QC-criteria

25 augustus 2026

Eerst geplaatst (Werkelijk)

27 augustus 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

27 augustus 2026

Laatste update ingediend die voldeed aan QC-criteria

25 augustus 2026

Laatst geverifieerd

1 augustus 2026

Meer informatie

Termen gerelateerd aan deze studie

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • 202604050RINE

Plan Individuele Deelnemersgegevens (IPD)

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NEE

Beschrijving IPD-plan

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Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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