Effect of ChatGPT-Based Digital Counseling on Anxiety and Depression in Cancer: A Randomized Trial
NCT ID: NCT06854315
Last Updated: 2025-04-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
150 participants
INTERVENTIONAL
2024-07-02
2024-12-31
Brief Summary
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ChatGPT Group: Patients receive standard chemotherapy education plus access to ChatGPT, where they can ask up to 10 personalized questions about their treatment.
Control Group: Patients receive only standard chemotherapy education provided by oncologists and nurses.
The primary outcome is the change in anxiety and depression levels, measured using the Hospital Anxiety and Depression Scale (HADS), recorded at baseline and before the second chemotherapy cycle.
Secondary outcomes include patient engagement patterns, the types of questions asked, and an assessment of ChatGPT's responses by oncologists.
This study seeks to explore whether AI-based digital counseling can serve as a complementary support tool for newly diagnosed cancer patients.
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Detailed Description
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The study is conducted at two oncology centers between July 2024 and December 2024. Patients are randomly assigned (1:1) to either:
ChatGPT-Assisted Counseling Arm: Patients receive standard chemotherapy education plus the ability to ask up to 10 personalized questions to ChatGPT. All AI-generated responses are reviewed for accuracy by oncology specialists.
Standard Education Arm: Patients receive only clinician-led chemotherapy education, without AI-based support.
Primary and Secondary Outcomes
Primary Outcome: Change in Hospital Anxiety and Depression Scale (HADS-A, HADS-D) scores between baseline and prior to the second chemotherapy cycle.
Secondary Outcomes:
Differences in patient engagement behaviors and information-seeking patterns. Analysis of the accuracy and reliability of ChatGPT-generated responses. The role of AI in addressing sensitive or under-discussed topics in oncology education (e.g., sexual health, alternative medicine).
Statistical Analysis The sample size is estimated based on detecting a 2-point difference in HADS scores (α=0.05, power=80%).
Nonparametric tests (Mann-Whitney U test, Wilcoxon signed-rank test) are planned for within- and between-group comparisons.
Multivariable logistic regression will assess independent predictors of anxiety reduction.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
SINGLE
Study Groups
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ChatGPT-Arm
Participants in this group received standard clinician-led chemotherapy education plus access to ChatGPT-based digital counseling. They were allowed to submit up to 10 personalized questions to ChatGPT regarding their treatment. All AI-generated responses were reviewed for accuracy by oncology specialists.
ChatGPT-Based Digital Counseling
Participants in this group received standard clinician-led chemotherapy education plus access to ChatGPT-based digital counseling. They could submit up to 10 personalized questions regarding their treatment, side effects, and supportive care. Oncology specialists reviewed ChatGPT-generated responses for accuracy. This intervention aimed to assess whether AI-assisted counseling could reduce anxiety and depression levels in newly diagnosed cancer patients.
Control Group
Standard pre-chemotherapy education was provided by oncologists and oncology nurses, covering expected side effects, treatment protocols, and general supportive care.
Standard Clinician-Led Education
Participants in this group received only standard clinician-led chemotherapy education, delivered by oncology physicians and nurses. The education covered key aspects of chemotherapy, including potential side effects, treatment schedules, and supportive care recommendations. Unlike the ChatGPT group, these participants did not receive AI-assisted counseling or additional interactive educational tools.
Interventions
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ChatGPT-Based Digital Counseling
Participants in this group received standard clinician-led chemotherapy education plus access to ChatGPT-based digital counseling. They could submit up to 10 personalized questions regarding their treatment, side effects, and supportive care. Oncology specialists reviewed ChatGPT-generated responses for accuracy. This intervention aimed to assess whether AI-assisted counseling could reduce anxiety and depression levels in newly diagnosed cancer patients.
Standard Clinician-Led Education
Participants in this group received only standard clinician-led chemotherapy education, delivered by oncology physicians and nurses. The education covered key aspects of chemotherapy, including potential side effects, treatment schedules, and supportive care recommendations. Unlike the ChatGPT group, these participants did not receive AI-assisted counseling or additional interactive educational tools.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
85 Years
ALL
No
Sponsors
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Gazi University
OTHER
Responsible Party
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Orhun Akdoğan
Medical Oncologist, Gazi University Faculty of Medicine
Locations
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Etlik City Hospital
Ankara, Yenimahalle, Turkey (Türkiye)
Gazi University Faculty of Medicine, Department of Medical Oncology
Ankara, Yenimahalle, Turkey (Türkiye)
Countries
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References
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Akdogan O, Uyar GC, Yesilbas E, Baskurt K, Malkoc NA, Ozdemir N, Yazici O, Oksuzoglu B, Uner A, Ozet A, Sutcuoglu O. Effect of a ChatGPT-based digital counseling intervention on anxiety and depression in patients with cancer: A prospective, randomized trial. Eur J Cancer. 2025 May 15;221:115408. doi: 10.1016/j.ejca.2025.115408. Epub 2025 Apr 3.
Other Identifiers
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E-1096068
Identifier Type: OTHER
Identifier Source: secondary_id
E-1096068
Identifier Type: -
Identifier Source: org_study_id
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