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Effect of Artificial Intelligence-Assisted Motivational Talk on Patients' Fear of Movement and Mobility Level After Knee Replacement

NCT06758297 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 76

Last updated 2025-03-25

No results posted yet for this study

Summary

Patients may have fears about moving after TKA surgery. This fear has been described in the literature. Fear of re-injury has also been called kinesiophobia, which is the primary psychosocial structure in the fear-avoidance model. Injury or surgery can create feelings of uncertainty and fear of how much the injury will affect future function. This situation causes the individual to have negative attitudes towards activity. For this reason, kinesiophobia is a psychological element that can affect patient outcomes and recovery after knee trauma or knee surgery. Kinesiophobia is considered a normal reaction in the early postoperative period. However, it can affect patients' early mobility after TKA. It is important to improve functional outcomes in the early period, especially in knee surgeries. Patients may delay mobilization because they feel a fear of falling after surgery, and as this delay increases, their mobility is affected worse. The only solution to this situation, which can enter a vicious circle, is to determine patients' fear of falling and apply interventions accordingly. There are studies in the literature evaluating the fear of movement after total knee arthroplasty and its effect on patients' mobility levels. However, no study has been found investigating the effect of a motivational speech prepared with the help of artificial intelligence on patients. The World Health Organization (WHO) has published a four-year global strategy report on digital health within the scope of the vision of health everywhere and for everyone. According to this report, digital health is defined as "the adoption of digital technologies to improve and develop health". The use of artificial intelligence technology is increasing day by day in the changing and developing world. It is known that nurses constitute 45% of all health professionals in the field of health and that insufficient staff number continues to be a priority problem. It is expected that insufficient staff will be supported and efficiency will increase with the contribution of artificial intelligence, which is the copy of human intelligence with advanced technology. With this research, we aim to both support staff and improve patient outcomes by using artificial intelligence technologies. The aim of this study is to evaluate the effect of an artificial intelligence-supported motivational speech on patients' fear of movement and mobility level after knee replacement.

Conditions

  • Knee Arthroplasty, Total

Interventions

OTHER

AI-Powered Motivational Speech

It is known that patients with knee prosthesis have difficulty in the first standing process due to fears of falling, not being able to walk again, and recurrence of their disease. For this purpose, a speech text that will motivate patients was prepared with the support of "ChatGPT". Expert opinions were obtained from 2 orthopedic specialists and 2 specialist psychiatric nurses for this speech text. Later, the speech text was converted into an audio video with the "ElevenLabs" application. Thus, it was planned to make it easier for patients to listen to it again. Patients will listen to this motivational speech in their own patient rooms and using their own headphones.

Sponsors & Collaborators

  • Kocaeli University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-12-30
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06758297 on ClinicalTrials.gov