Artificial Intelligence Powered Digital Education Based on the Neuman Systems Model for Breast Cancer Patients Receiving Radiotherap
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Neuman-Based AI-Supported Digital Education Program, Standard Care (in control arm).
- Who it may be relevant to
- Registry conditions: Breast Cancer, Radiodermatitis. Basic parameters: from 18 years · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
The Effect of Artificial Intelligence-Powered Digital Education Based on the Neuman Systems Model on Radiodermatitis Severity and Quality of Life in Breast Cancer Patients
Overview
The purpose of this clinical trial is to evaluate the effect of an artificial intelligence-supported digital education program developed based on the Neuman Systems Model on radiodermatitis severity and quality of life in women with breast cancer receiving radiotherapy. The intervention was developed based on the Neuman Systems Model, which served as the theoretical framework of the study. Educational content was structured according to the principles of the model and was designed to strengthen patients' flexible lines of defense, support resistance resources, facilitate adaptation to radiotherapy-related stressors, and promote system stability through primary, secondary, and tertiary prevention strategies. The study aims to answer the following questions: * Is a Neuman Systems Model-based AI-supported digital education program effective in reducing the severity of radiotherapy-induced radiodermatitis? * Is a Neuman Systems Model-based AI-supported digital education program effective in improving quality of life among women receiving radiotherapy for breast cancer? Participants assigned to the intervention group will be provided with access to the AI-supported digital education program developed in accordance with the Neuman Systems Model, whereas participants assigned to the control group will receive standard care. Differences between the groups with respect to radiodermatitis severity and quality of life outcomes will be evaluated. Participants will complete a Patient Information Form to collect sociodemographic and clinical characteristics prior to the initiation of radiotherapy. Radiodermatitis severity will be assessed using the Radiation Therapy Oncology Group (RTOG) Acute Radiation Dermatitis Scale, and quality of life will be evaluated using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and the breast cancer-specific module (EORTC QLQ-BR23). Following these assessments, participants will be randomly allocated to either the intervention group or the control group. Radiodermatitis severity will be evaluated weekly throughout the radiotherapy period using the RTOG scale and reassessed two weeks after completion of radiotherapy. Quality of life will be evaluated before radiotherapy and reassessed two weeks after completion of radiotherapy using the EORTC QLQ-C30 and EORTC QLQ-BR23 questionnaires. Participants assigned to the intervention group will be provided with access to an AI-supported digital education platform incorporating educational modules, personalized educational recommendations, reminder notifications, and motivational messages. In addition, system usability will be evaluated at the end of the intervention period using the System Usability Scale (SUS).
Interventions
- Behavioral Neuman-Based AI-Supported Digital Education Program
Participants assigned to the intervention group will receive access to an artificial intelligence-supported digital education program developed based on the Neuman Systems Model. The program consists of seven educational modules covering the radiotherapy process, recognition of early signs of radiodermatitis, preventive skin care practices, symptom management, psychological adaptation, social support, and post-treatment care. The system will analyze user engagement data, including platform usage - Other Standard Care (in control arm)
Participants will receive routine nursing care and standard patient education provided in the radiotherapy clinic. Standard care includes verbal information and counseling regarding the radiotherapy process, skin care recommendations, symptom monitoring, and routine clinical follow-up.
Primary outcome measures
- Radiodermatitis Severity (Radiation Therapy Oncology Group Skin Toxicity Scale) [Time frame: Weekly during radiotherapy (5 weeks) and 2 weeks after completion of radiotherapy.]
Secondary outcome measures (1)
- European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-BR23 [Time frame: Baseline and 2 weeks after completion of radiotherapy.]
Eligibility criteria
Inclusion criteria
- Women aged 18 years or older diagnosed with primary breast cancer who have completed surgical treatment and are scheduled to receive adjuvant radiotherapy.
- Patients who will receive radiotherapy for the first time.
- Patients whose general health condition is suitable for participation in the study and follow-up assessments.
- Patients who are able to read, understand, and communicate in Turkish.
- Patients who have access to the internet and are able to use a smartphone, tablet, or computer to access the digital education program.
- Patients who voluntarily agree to participate in the study and provide written informed consent.
Exclusion criteria
- Previous radiotherapy to the same treatment area.
- Presence of an active infection, open wound, or severe dermatological disease within the radiation treatment field.
- History of a chronic skin condition that may affect radiation-induced skin reactions.
- Cognitive or psychiatric conditions that may prevent participants from following the educational program or complying with the study procedures and data collection process.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Prevention
Study locations
Center list to be confirmed — check the primary protocol.
Publications
- Mohamed, M., Khalaf, S., Khalaf, F., Mohamed, S. Education Program to Promote Skin Integrity and Reduce Pain for Patients Receiving External Beam Radiotherapy. Assiut Scientific Nursing Journal, 2022; 10(28): 191-199. DOI: 10.21608/ASNJ.2022.104791.1260
Identifiers
NCT: NCT07649902 · ATA.2026.06