Reflects the Intervention (AI Chatbot)
BC-CHAT
Empowering Breast Cancer Clients Through AI Chatbots: Transforming Knowledge and Attitudes for Enhanced Nursing Care
1 other identifier
interventional
122
1 country
1
Brief Summary
The goal of this clinical trial is to investigate the impact of an AI-powered chatbot intervention on improving knowledge, attitudes, and empowerment in breast cancer patients. The study focuses on female breast cancer patients, aged 18 years or older, who are receiving treatment at Kafr El-Sheikh University Hospital in Egypt. The main questions it aims to answer are: Can the AI chatbot intervention improve breast cancer knowledge compared to standard care? Can the AI chatbot intervention positively influence attitudes toward AI in healthcare? Does the AI chatbot intervention enhance patient empowerment in managing breast cancer? Researchers will compare: Intervention group (AI chatbot + standard care) to control group (standard care alone) to see if the AI chatbot intervention leads to greater improvements in knowledge, more positive attitudes towards AI, and higher perceived empowerment. Participants will: Engage with an AI-powered chatbot designed to provide personalized education on breast cancer, treatment options, and emotional support. Complete pre- and post-intervention assessments to measure changes in knowledge, attitudes toward AI, and empowerment. Receive standard care, including routine oncology consultations and nursing support, alongside the chatbot intervention (for the intervention group).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Apr 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 17, 2025
CompletedStudy Start
First participant enrolled
April 20, 2025
CompletedFirst Posted
Study publicly available on registry
April 25, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 15, 2025
CompletedApril 25, 2025
April 1, 2025
2 months
April 17, 2025
April 17, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Breast Cancer Knowledge Improvement
This outcome measures the change in breast cancer knowledge from baseline to post-intervention for participants who used the AI chatbot compared to the control group. Knowledge is assessed using the Artificial Intelligence of Breast Cancer Questionnaire, which covers topics such as treatment options, side effects, symptom management, and AI's role in healthcare.
2 months
Study Arms (2)
Intervention Group (AI Chatbot + Standard Care)
EXPERIMENTALParticipants in this arm will receive standard oncology care in addition to interacting with an AI-powered chatbot. The chatbot will provide personalized educational content on breast cancer, treatment options, side effects, and offer emotional support. Participants will engage with the chatbot for 4 weeks, with assessments at baseline and post-interventi
Control Group (Standard Care Only)
NO INTERVENTIONParticipants in this arm will receive standard oncology care only, including routine consultations with oncology specialists and nurses. They will not have access to the AI chatbot intervention.
Interventions
The AI Chatbot for Breast Cancer Patient Education and Empowerment is a digital health intervention that leverages artificial intelligence to provide personalized educational content and emotional support to breast cancer patients. The chatbot delivers information on breast cancer management, treatment options, side effects, and self-care practices. It is available 24/7, offering real-time answers to patient queries and tailored suggestions based on their treatment path. The aim is to increase patient knowledge, improve attitudes toward AI, and empower patients to take a more active role in their care. The chatbot intervention is provided alongside standard oncology care at Kafr El-Sheikh University Hospital.
Eligibility Criteria
You may qualify if:
- Female participants diagnosed with breast cancer, regardless of cancer stage.
- Age 18 years or older.
- Ability to read and communicate in Arabic to interact with the AI chatbot.
- Willingness to participate in the study and to engage with the AI chatbot for the duration of the intervention.
- Ability to provide informed consent.
You may not qualify if:
- Participants with cognitive impairments or serious mental health conditions that may hinder understanding or participation in the study.
- Patients currently receiving palliative care, as they may prioritize symptom management over educational interventions.
- Participants who are physically unable to engage with the study's digital tools or complete assessments (e.g., due to severe illness).
- Individuals who are unable to communicate in Arabic, as the AI chatbot intervention is designed in Arabic.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Mostafa Shabanlead
Study Sites (1)
Faculty of Nursing Cairo University
Cairo, Egypt
Related Publications (7)
Janopaul-Naylor JR, Koo A, Qian DC, McCall NS, Liu Y, Patel SA. Physician Assessment of ChatGPT and Bing Answers to American Cancer Society's Questions to Ask About Your Cancer. Am J Clin Oncol. 2024 Jan 1;47(1):17-21. doi: 10.1097/COC.0000000000001050. Epub 2023 Oct 12.
PMID: 37823708BACKGROUNDSiglen E, Vetti HH, Lunde ABF, Hatlebrekke TA, Stromsvik N, Hamang A, Hovland ST, Rettberg JW, Steen VM, Bjorvatn C. Ask Rosa - The making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer. Patient Educ Couns. 2022 Jun;105(6):1488-1494. doi: 10.1016/j.pec.2021.09.027. Epub 2021 Oct 6.
PMID: 34649750BACKGROUNDAgrawal A. Fairness in AI-Driven Oncology: Investigating Racial and Gender Biases in Large Language Models. Cureus. 2024 Sep 16;16(9):e69541. doi: 10.7759/cureus.69541. eCollection 2024 Sep.
PMID: 39416584BACKGROUNDMa Y, Achiche S, Pomey MP, Paquette J, Adjtoutah N, Vicente S, Engler K; MARVIN chatbots Patient Expert Committee; Laymouna M, Lessard D, Lemire B, Asselah J, Therrien R, Osmanlliu E, Zawati MH, Joly Y, Lebouche B. Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study). JMIR Res Protoc. 2024 Feb 13;13:e54668. doi: 10.2196/54668.
PMID: 38349734BACKGROUNDChang YC, Wu CH, Lupo R, Botti S, Conte L, Vitone M, Massafra R, De Nunzio G, Vitale E. Generative Artificial Intelligence (AI) to Uncover Insights From Breast Cancer Patients' Perceptions to Mindfulness-Based Stress Reduction (MBSR) Interventions. Holist Nurs Pract. 2025 Sep-Oct 01;39(5):317-325. doi: 10.1097/HNP.0000000000000677. Epub 2025 Aug 13.
PMID: 39186509BACKGROUNDSato A, Haneda E, Hiroshima Y, Narimatsu H. Preliminary Screening for Hereditary Breast and Ovarian Cancer Using an AI Chatbot as a Genetic Counselor: Clinical Study. J Med Internet Res. 2024 Nov 27;26:e48914. doi: 10.2196/48914.
PMID: 39602801BACKGROUNDShaban M, Osman YM, Mohamed NA, Shaban MM. Empowering breast cancer clients through AI chatbots: transforming knowledge and attitudes for enhanced nursing care. BMC Nurs. 2025 Jul 29;24(1):994. doi: 10.1186/s12912-025-03585-w.
PMID: 40731340DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Dr
Study Record Dates
First Submitted
April 17, 2025
First Posted
April 25, 2025
Study Start
April 20, 2025
Primary Completion
July 1, 2025
Study Completion
July 15, 2025
Last Updated
April 25, 2025
Record last verified: 2025-04