ASCC (sarcoma-specific AI chatbot)
OtherThe participants in the experimental group will access the ASCC via a webpage alongside standard information from health professionals for one month (15 minutes weekly).
NCT Number: NCT07505732
This study aims to develop and examine the feasibility and preliminary effectiveness of an AI-based sarcoma chatbot building on ChatGPT (ASCC) to address the information needs of sarcoma patients. We hypothesized: 1) the ASCC will demonstrate good usability; 2) the study will be feasible in terms of all feasibility indicators; 3) the experimental group will report improved satisfaction and self-efficacy, decreased anxiety and stress than the control groups upon completion of the intervention. The ASCC will be developed using a co-design approach. A pilot randomized controlled trial will then be conducted in the three oncology wards of collaborative hospitals. Seventy-eight sarcoma patients will be recruited and randomized to the experimental group (n=39) and the control group (n=39). The experimental group will use the ASCC available 24/7 via voice or text for disease-related questions for one month while the control group will receive usual care.
Trial opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The participants in the experimental group will access the ASCC via a webpage alongside standard information from health professionals for one month (15 minutes weekly).
Participants in the control group will receive routine clinical care, including standard information from doctor-patient consultations (e.g., diagnosis, treatment, medical tests) and hospital provided sarcoma and treatment leaflet.
Time frame: During the enrollment period of this project.
Calculated by dividing the number of sarcoma patients screened by the research team by the number of sarcoma patients.
Time frame: During the enrollment period of this project.
Calculated by dividing the number of participants who are eligible by the number who are screened.
Time frame: During the enrollment period of this project.
Calculated by dividing the number of participants who were randomized into intervention and control groups by those provide consent.
Time frame: During the enrollment period of this project.
Calculated by dividing the number of participants who consent to join the study by the number who are eligible.
Time frame: Baseline and immediately after intervention (T1)
Calculated by dividing the number of participants who complete the intervention by those who are randomised
Time frame: Baseline and immediately after intervention (T1)
Calculated by dividing the number of participants who remain in the study by those who are randomized. This will be calculated by groups.
Time frame: Baseline and immediately after intervention (T1)
Calculated by dividing the number of participants who returned questionnaires by the number of questionnaires distributed. Calculated by dividing the number of participants who remain in the study by those who are randomized. This will be calculated by groups.
Time frame: Baseline and immediately after intervention (T1)
Calculated as the percentage of missing values in the dataset. Unknown or blank values will be considered missing values.
Time frame: immediately after intervention (T1)
Adverse events are defined as unfavourable and unintended events that are not present, or appear to have worsened during the study.
Time frame: Baseline and immediately after intervention (T1)
The EORTC QLQ-INFO25 will be used to evaluate participants' satisfaction with the information received. A four-point Likert scale is used to score 25 items ('nothing' = 1 to 'a lot' = 4), with higher scores indicating greater information satisfaction.
Time frame: Baseline and immediately after intervention (T1)
The Depression Anxiety Stress Scale-21 (DASS-21) will be used to assess anxiety and stress.(36) 21 items are scored using a four-point Likert scale, with higher score indicating more severe symptoms.
Time frame: Baseline and immediately after intervention (T1)
Self-efficacy will be assessed using the Strategies Used by People to Promote Health (SUPPH) with good reliability and validity. This 28-item likert scale measure self-care self-efficacy, with higher scores indicating more positive perceptions of self-efficacy.
Time frame: immediately after intervention (T1)
System Usability Scale (SUS) will be used to measure the usability of digital health solutions by 10 items rated on a 5-point Likert scale from 0-100. The chatbot will be considered highly usable if the mean score exceeds 68.
Contact information is provided by the study sponsor or research team.
The Hong Kong Polytechnic University
Other
The Development and Evaluation of a Co-designed, AI-based Information-providing Chatbot for Sarcoma Patients: A Pilot Randomised Controlled Trial
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05361954
Cancer, Cancer of Pancreas
View Trial DetailsNCT01109394
Endocrine Tumors, Eye Diseases
Washington D.C., District of Columbia, United States
View Trial DetailsNCT06910657
Adenocarcinoma, Adnexal Diseases
St Louis, Missouri, United States
View Trial DetailsNCT07059884
Adnexal Diseases, Anal Cancer
Dublin, California, United States
View Trial Details