The Effect of Artificial Intelligence Supported Mobile Learning on Nutrition/Hydration Control and Individual Management

NCT06293183 | Completed

• 1 other identifier: EGE-HEM-STO-01
• Study Type: interventional
• Target: 76
• Locations: 1 country
• Sites: 1

Brief Summary

The adherence to recommended nutrition and fluid restrictions is crucial for the success of hemodialysis treatment. However, approximately 80% of patients receiving HD treatment are non-compliant with fluid restriction, leading to various complications. Cardiovascular complications are among the most common complications associated with this issue. When reviewing national and international literature on the subject, it is observed that in order to improve treatment adherence in HD patients, written materials are often used in addition to individual or group education sessions, focusing mainly on assessing patients\' quality of life and self-efficacy. However, a mobile-supported learning method that enables patients to manage their nutrition and fluid control individually is not commonly utilized. This research aims to investigate the impact of an artificial intelligence-supported mobile application developed for HD patients on the control of nutrition/fluid intake and individual management.

Conditions

Cronich Kidney Disease

Keywords

Hemodialysis; mobile learning; hydration; nutrition; nursing

Outcome Measures

Primary Outcomes (1)

• Fluid intake compliance

  Nutrition (for nutrition, Nutritional Behavior Scale in Hemodialysis Patients score) and fluid intake compliance (for fluid compliance, Nutritional Behavior Scale in Hemodialysis Patients score) of the patients included in the study will be evaluated. In addition, the entry kilogram information of the patients participating in the study will be taken from the patient files before the dialysis session. . Fluid Control Scale in Hemodialysis Patients: It consists of a total of 24 items and three sub-dimensions (knowledge, behavior and attitude), the lowest score from the scale is 24 and the highest score is 72. As the score increases, patients' compliance with fluid control also increases. Nutritional Behavior Scale of Hemodialysis Patients: It was developed to evaluate the nutritional behavior of patients receiving hemodialysis treatment. The scale score is between 13-65. The higher the score, the more "good behavior" is considered.

  4 months

Secondary Outcomes (1)

• Change of individual management

  4 months

Study Arms (2)

Intervention group

EXPERIMENTAL

After the purpose and method of the research are explained, a written informed consent form will be obtained and the Patient Introduction Form will be filled out. Mobile phone usage skills of patients undergoing hemodialysis treatment will be evaluated using the Digital Literacy Scale. Individuals in the initiative group will be given individual training on how to use the application through the application demo. Individuals in the initiative group will be given consultancy by the researcher while downloading the application and logging in with their username. Questionnaires and scale forms will be applied to the patients in the control group on the 0th day, the 14th day, and at the 1st, 2nd and 3rd months. Laboratory values and intradialytic weight information will be obtained from patient files.

Other: Mobile app

Control group

NO INTERVENTION

After the purpose and method of the research are explained, a written informed consent form will be obtained and the Patient Introduction Form will be filled out. No intervention will be made to the participants in this group. Questionnaires and scale forms will be applied to the patients in the control group on the 0th day, 14th day, 1st, 2nd and 3rd months. Laboratory values and intradialytic weight information will be obtained from patient files.

Interventions

Mobile app OTHER

Participants in the intervention group will be expected to watch the training video in the mobile application installed on their phones or tablets and then regularly enter all the food and liquid amounts they consume during the day into this application. In the mobile application data entry area, visuals that will be included in the application showing the amount and types of foods consumed by the participants during the day (1 soup bowl, 1 vegetable dish plate, 1 meat dish plate, 1 water glass, 1 tea glass, tablespoon, dessert spoon, teaspoon, ladle). etc.) will choose through. The mobile application will calculate the total amount of liquid consumed by the participants in 24 hours, and will give a yellow warning when the amount of liquid consumed is 2-2.5 liters, an orange warning when it is 2.5-3 liters, and a red warning when it is 3 liters and above. This will contribute to reducing the amount of fluid intake of participants between two dialysis sessions.

Intervention group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• years and over,
• Conscious and able to communicate,
• Having received hemodialysis treatment for the last 3 months,
• Able to use an Android-based phone (for those who do not have a personal mobile phone, an application will be installed on the primary caregiver\'s phone),
• Having a digital literacy scale score over 17,
• Patients who agree to participate in the research will be included in the research.

You may not qualify if:

• Patients diagnosed with acute renal failure
• Having vision problems

Sponsors & Collaborators

• Ege University: lead

Study Sites (1)

Private Daviva Buca Dialysis Centre

Izmir, Buca, Turkey (Türkiye)

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Lecturer

Study Record Dates

• First Submitted: February 15, 2024
• First Posted: March 5, 2024
• Study Start: November 1, 2024
• Primary Completion: February 20, 2025
• Study Completion: April 28, 2025
• Last Updated: August 8, 2025

Record last verified: 2025-08

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)