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AI-Integrated Emotional Granularity Training for Resilience and Quality of Life in Colorectal Cancer Survivors

3 czerwca 2026 zaktualizowane przez: Dr Joyce Chung, The Hong Kong Polytechnic University

Development and Evaluation of an AI-Integrated Emotional Granularity Growth (AI-EGG) on Enhancing Resilience and Improving Quality of Life in Young and Middle-Aged Colorectal Cancer Survivors

The goal of this clinical trial is to evaluate an AI-integrated Emotional Granularity Growth intervention (AI-EGG) designed to enhance resilience and improve quality of life in young and middle-aged colorectal cancer (CRC) survivors. Emotional granularity refers to the ability to clearly identify and differentiate subtle emotional experiences, which may help individuals regulate emotions more effectively and build resilience after cancer treatment.

The main questions it aims to answer are:

  • Does the AI-EGG intervention improve resilience in CRC survivors compared with routine psychological care?
  • Does the intervention improve emotional granularity, emotion regulation ability, and quality of life?
  • Is the AI-EGG intervention feasible and acceptable for young and middle-aged CRC survivors?

Researchers will compare the AI-EGG intervention group to a control group receiving routine psychological care and standard educational materials to see whether the intervention leads to better psychological outcomes.

Participants will:

  • Complete baseline assessments measuring emotional granularity, emotion regulation, resilience, and quality of life
  • Be randomly assigned to either the intervention group or the control group
  • In the intervention group, engage in a 4-week AI chatbot-based program focusing on emotional identification, differentiation, regulation, and reflective practice (at least two sessions per week)
  • In the control group, receive routine psychological care and standard educational materials
  • Complete post-intervention assessments immediately after the 4-week program and again at a 1-month follow-up
  • Some participants in the intervention group will be invited to complete interviews about their experience of the program

Przegląd badań

Status

Jeszcze nie rekrutacja

Warunki

Interwencja / Leczenie

Szczegółowy opis

This study is a randomized controlled trial designed to evaluate the feasibility, acceptability, and preliminary effectiveness of an AI-integrated Emotional Granularity Growth intervention (AI-EGG) in improving resilience, quality of life emotional granularity and emotion regulation among young and middle-aged colorectal cancer (CRC) survivors.

CRC survivors in early and middle adulthood often experience persistent psychological adaptation difficulties after completion of primary treatment, even when clinical disease is stable. These difficulties include reduced resilience, impaired emotion regulation, and decreased quality of life. Emotional processes are considered central to post-treatment psychological adaptation, and resilience is conceptualized as a key psychosocial outcome reflecting individuals' ability to adapt to cancer-related adversity.

Emotion regulation is an important determinant of resilience; however, existing interventions typically focus on general emotion regulation strategies without directly targeting the individual's ability to differentiate and label emotional experiences. Emotional granularity, defined as the ability to distinguish and accurately label discrete emotional states, is proposed as a cognitive-affective mechanism that may enhance emotion regulation effectiveness and thereby support resilience.

The AI-EGG intervention is developed based on this theoretical framework and is delivered via an online chatbot platform. The intervention is structured as a 4-week program that provides guided, interactive training in emotional granularity. The chatbot system delivers standardized yet interactive modules focusing on emotional identification, emotional differentiation, emotion regulation, and reflective emotional processing. Participants are encouraged to engage with the system at least twice per week, with additional voluntary engagement supported by the platform.

The study adopts a parallel-group randomized controlled design. Participants are randomly assigned to either the AI-EGG intervention group or a control group receiving routine psychological care and standard educational materials. The intervention is delivered remotely through a mobile-based chatbot system, enabling flexible and repeated engagement in real-life contexts.

Outcome assessments are conducted at baseline, immediately after the 4-week intervention period, and at 1-month follow-up. These assessments evaluate changes in emotional granularity, emotion regulation, resilience, and quality of life over time.

In addition to quantitative evaluation, a qualitative component is conducted among a purposively selected subset of participants in the intervention group. Semi-structured interviews are used to explore participants' experiences of using the AI-EGG system, perceived changes in emotional granularity and resilience, engagement patterns, and perceived acceptability of the intervention.

Overall, this study aims to provide preliminary evidence on whether an AI-based emotional granularity training program can improve emotional granularity and support resilience in CRC survivors, and to inform the development of scalable digital psychosocial interventions in oncology care.

Typ studiów

Interwencyjne

Zapisy (Szacowany)

54

Faza

  • Nie dotyczy

Kontakty i lokalizacje

Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.

Kontakt w sprawie studiów

Lokalizacje studiów

  • Chiny
    • Jiangsu
      • Kunshan, Jiangsu, Chiny, 215300
        • Kunshan First People's Hospital Affiliated to Jiangsu University
        • Kontakt:
      • Suzhou, Jiangsu, Chiny, 215000
        • The Second Affiliated Hospital of Soochow University
        • Kontakt:
      • Suzhu, Jiangsu, Chiny, 215000
        • The First Affiliated Hospital of Soochow University
        • Kontakt:

Kryteria uczestnictwa

Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.

Kryteria kwalifikacji

Wiek uprawniający do nauki

  • Dorosły

Akceptuje zdrowych ochotników

Nie

Opis

Inclusion Criteria:

  • (1) young and middle-aged adult patients (age in the range of 18-60 years);
  • (2) patients diagnosed with CRC;
  • (3) patients have completed primary curative-intent treatment for colorectal cancer, and are currently in a stable post-treatment or maintenance phase of care without evidence of active disease progression or acute treatment-related instability;
  • (4) patients able to use a smartphone and agree to participate in the study.

Exclusion Criteria:

  • (1) patients who have been informed of their cancer diagnosis due to family decision to withhold information;
  • (2) patients suffering from severe comorbidities or conditions that may affect participation or assessment, such as significant cognitive impairment (e.g., dementia, severe memory loss), psychiatric disorders, or other serious medical complications;
  • (3) those who are participating in other psychological intervention studies.

Plan studiów

Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.

Jak projektuje się badanie?

Szczegóły projektu

  • Główny cel: Leczenie podtrzymujące
  • Przydział: Randomizowane
  • Model interwencyjny: Przydział równoległy
  • Maskowanie: Pojedynczy

Broń i interwencje

Grupa uczestników / Arm
Interwencja / Leczenie
Eksperymentalny: Intervention group
Participants in the intervention group will receive a 4-week AI-EGG intervention delivered through a digital intervention platform, in addition to routine psychological care.
Inny: Emotional granularity training

The 4-week Emotional Granularity Growth intervention (AI-EGG) will be delivered via a structured mobile-based digital platform based on emotional granularity theory and Gross's Extended Process Model of Emotion Regulation.

The intervention includes four modules: (1) emotional identification and labeling, (2) emotional differentiation training, (3) emotion regulation strategy selection, and (4) implementation and reflective adaptation.

Each session follows a cycle of emotional diary recording, labeling, feedback on emotional differentiation, and practice of regulation strategies. Participants are encouraged to complete at least two sessions per week.

Predefined emotional categories and structured vocabulary support consistent labeling. Culturally adapted scenarios for young and middle-aged CRC survivors are included. Oncology nurses provide support, including clarification of emotional concepts, guidance on real-life application, and referral when needed

Inne nazwy:
  • AI-Integrated Emotional Granularity Growth (AI-EGG)
Inny: Routine Care
Routine psychological care will be provided by oncology nurses, along with standard educational materials on symptom management and basic emotional coping strategies consistent with clinical guidelines. Participants will also complete the online questionnaires for outcome assessment.
Aktywny komparator: Control group
Participants in the control group will receive routine psychological care provided by oncology nurses.
Inny: Routine Care
Routine psychological care will be provided by oncology nurses, along with standard educational materials on symptom management and basic emotional coping strategies consistent with clinical guidelines. Participants will also complete the online questionnaires for outcome assessment.

Co mierzy badanie?

Podstawowe miary wyniku

Miara wyniku
Opis środka
Ramy czasowe
Recruitment Rate
Ramy czasowe: During the recruitment period, up to 1 months
Recruitment rate will be defined as the proportion of eligible participants who consent to participate in the study.
During the recruitment period, up to 1 months
Retention Rate
Ramy czasowe: Immediately post-intervention at 4 weeks
Retention rate will be defined as the proportion of enrolled participants who complete follow-up assessments at T1
Immediately post-intervention at 4 weeks
Adherence to the AI-Integrated Emotional Granularity Growth (AI-EGG) Program
Ramy czasowe: Immediately post-intervention at 4 weeks
Adherence will be defined as the proportion of retained participants who complete all core intervention modules and at least 70% of Ecological Momentary Assessment (EMA) entries during the intervention period.
Immediately post-intervention at 4 weeks
Feasibility of Outcome Assessment
Ramy czasowe: Immediately post-intervention at 4 weeks and 1-month post-intervention follow-up
Feasibility of outcome assessment will be evaluated based on the proportion of retained participants who successfully complete all required outcome assessments and follow-up interviews at T1 and T2.
Immediately post-intervention at 4 weeks and 1-month post-intervention follow-up
Ecological Momentary Assessment (EMA) Completion Rate
Ramy czasowe: During the 4-week intervention period
EMA completion rate will be assessed as the proportion of completed EMA entries relative to the total number of expected EMA prompts during the intervention period.
During the 4-week intervention period
System Usability as Measured by the System Usability Scale (SUS)
Ramy czasowe: Immediately post-intervention at 4 weeks
The System Usability Scale (SUS) is a 10-item questionnaire assessing perceived usability of the intervention platform. Total scores range from 0 to 100, with higher scores indicating better usability.
Immediately post-intervention at 4 weeks

Miary wyników drugorzędnych

Miara wyniku
Opis środka
Ramy czasowe
Resilience Measured by the Chinese Version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10)
Ramy czasowe: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
The Chinese version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) is a 10-item self-report questionnaire assessing psychological resilience. Each item is rated on a 5-point scale from 0 to 4. Total scores range from 0 to 40, with higher scores indicating greater resilience.
Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
Quality of life Measured by the Chinese Version of the Functional Assessment of Cancer Therapy-Colorectal (FACT-C)
Ramy czasowe: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
The Chinese version of the Functional Assessment of Cancer Therapy-Colorectal (FACT-C, Version 4) is a 36-item disease-specific quality-of-life questionnaire for colorectal cancer patients. Each item is rated on a 5 point Likert scale from 0 ("not at all") to 4 ("very much") over the past 7 days, with higher scores indicating better quality of life.
Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
Emotional granularity Measured by the Chinese Version of the Range and Differentiation of Emotional Experience Scale (RDEES)
Ramy czasowe: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
The Chinese version of the Range and Differentiation of Emotional Experience Scale (RDEES) is an 11-item self-report scale assessing emotional granularity across two domains: range of emotional experience and emotional differentiation. Total scores range from 11 to 55, with higher scores indicating greater emotional granularity.
Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
Emotion Regulation Measured by the Chinese Version of the Difficulties in Emotion Regulation Scale (DERS)
Ramy czasowe: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)
The Chinese version of the Difficulties in Emotion Regulation Scale (DERS) is a 36-item self-report scale assessing multidimensional difficulties in emotion regulation. Total scores range from 36 to 180, with higher scores indicating greater difficulties in emotion regulation.
Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)

Inne miary wyników

Miara wyniku
Opis środka
Ramy czasowe
Participant Acceptability of AI-Integrated Emotional Granularity Growth (AI-EGG)
Ramy czasowe: Immediately post-intervention (T1)
Participant acceptability, appropriateness, and perceived suitability of the intervention will be explored through semi-structured qualitative interviews conducted with a purposive subsample of intervention group participants.
Immediately post-intervention (T1)
Perceived accuracy of AI emotion interpretation at T1
Ramy czasowe: Immediately post-intervention at 4 weeks (T1)
Perceived accuracy of AI emotion interpretation will be assessed using a 0-10 visual analogue scale completed by participants after each emotion feedback episode. Higher scores indicate greater perceived agreement between the AI-generated emotional interpretation and participants' subjective emotional experience. Scores will be summarised as mean (SD) at the participant level.
Immediately post-intervention at 4 weeks (T1)

Współpracownicy i badacze

Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.

Sponsor

The Hong Kong Polytechnic University

Współpracownicy

The First Affiliated Hospital of Soochow University
Second Affiliated Hospital of Soochow University
Kunshan First People's Hospital Affiliated to Jiangsu University

Daty zapisu na studia

Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.

Główne daty studiów

Rozpoczęcie studiów (Szacowany)

1 czerwca 2026

Zakończenie podstawowe (Szacowany)

1 października 2026

Ukończenie studiów (Szacowany)

1 grudnia 2026

Daty rejestracji na studia

Pierwszy przesłany

12 maja 2026

Pierwszy przesłany, który spełnia kryteria kontroli jakości

22 maja 2026

Pierwszy wysłany (Rzeczywisty)

28 maja 2026

Aktualizacje rekordów badań

Ostatnia wysłana aktualizacja (Rzeczywisty)

4 czerwca 2026

Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości

3 czerwca 2026

Ostatnia weryfikacja

1 czerwca 2026

Więcej informacji

Terminy związane z tym badaniem

Słowa kluczowe

Dodatkowe istotne warunki MeSH

Inne numery identyfikacyjne badania

  • HSEARS20260427001

Plan dla danych uczestnika indywidualnego (IPD)

Planujesz udostępniać dane poszczególnych uczestników (IPD)?

NIEZDECYDOWANY

Opis planu IPD

A final decision regarding sharing individual participant data (IPD) has not yet been finalized. This is due to the need for further internal discussions and consultations with all collaborating institutions, particularly regarding compliance with cross-border data transfer regulations under China's Personal Information Protection Law (PIPL) and ethical guidelines governing participant privacy. Additionally, the feasibility of robust de-identification processes and secure data-sharing mechanisms is being evaluated to ensure participant confidentiality. The final decision will be determined before study completion and will align with journal requirements, participant consent agreements, and institutional policies.

Informacje o lekach i urządzeniach, dokumenty badawcze

Bada produkt leczniczy regulowany przez amerykańską FDA

Nie

Bada produkt urządzenia regulowany przez amerykańską FDA

Nie

Te informacje zostały pobrane bezpośrednio ze strony internetowej clinicaltrials.gov bez żadnych zmian. Jeśli chcesz zmienić, usunąć lub zaktualizować dane swojego badania, skontaktuj się z register@clinicaltrials.gov. Gdy tylko zmiana zostanie wprowadzona na stronie clinicaltrials.gov, zostanie ona automatycznie zaktualizowana również na naszej stronie internetowej .

Badania kliniczne na Rak jelita grubego (CRC)

Badania kliniczne na Emotional granularity training

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