Effect of Artificial Intelligence-Assisted Motivational T... | NCT06758297

NCT06758297

Protocol Section

Identification Module

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Status Module

Oversight Module

Description Module

Brief 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.

Design Module

Interventional Study Design

Biospecimen

No data available

No data is available for this block.

Arms/Interventions Module

Arm Groups

Label	Type	Description	Intervention Names
AI-Powered Motivational Speech Group	Experimental	Patients will be assessed for fear of falling using the "Descriptive Characteristics Form" and the "TAMPA Kinesiophobia Scale". The audio recording prepared with artificial intelligence support will be listened to 3 times. 4. . Patients will be assessed for fear of falling again using the "TAMPA Kinesiophobia Scale". 5. While the patients are standing up, the researcher will measure their mobility levels using the "Patient Mobility and Observer Mobility Scale".	Other: AI-Powered Motivational Speech
Control Group	No Intervention	Patients will be assessed for fear of falling using the "Descriptive Characteristics Form" and the "TAMPA Kinesiophobia Scale". After 15 minutes, patients will be assessed for fear again using the "TAMPA Kinesiophobia Scale". While the patients are being stood up, the researcher will measure their mobility levels using the "Patient Mobility and Observer Mobility Scale".

Interventions

Name	Type	Description	Arm Group Labels	Other Names
AI-Powered Motivational Speech	Other	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.

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Kinesiophobia	The patients' fear of falling will be evaluated with the TAMPA Kinesiophobia Scale. The scale is a 17-question scale developed to determine the level of injury/re-injury and fear-avoidance processes related to activities. The scale is scored with a four-point Likert scoring type of "1=Strongly Disagree", "2=Disagree", "3=Agree", "4=Strongly Agree". The minimum score value obtained from the scale is 17, while the maximum score value is 68. Vlaeyen et al. accepted a score above 37 from the scale as a high level of kinesiophobia.	20 minutes before the patient starts walking, 5 minutes before the patient starts walking

Secondary Outcomes

Measure	Description	Time Frame
Mobility Level	The patient's mobility will be assessed with the Patient Mobility and Observer Mobility Scales. The scale is a 5-point Likert-type scale with a 5-point score ranging from "It was very easy" to "It was very difficult". In the Mobility Scale, the dependency/independence status/degree during the performance of four activities after surgery is numbered between 1 and 5. A score of 1 indicates that the patient performed the relevant activity independently without verbal warning or physical assistance, and a score of 5 indicates that the patient could not perform the relevant activity despite verbal warning or physical assistance. The total score is calculated by adding the scores for turning, sitting, standing and walking. A total score of 4-20 is obtained from the scale. An increase in the score indicates that the patient's movement skills are inadequate, and a decrease in the score indicates that their movement skills after the surgical intervention are good/sufficient.

Eligibility Module

Name	Role	Phone	Extension	Email
Hatice Merve Alptekin research assistant	Contact	+90262303004733		merve.alptekin@kocaeli.edu.tr

Facility	Status	City	State	ZIP	Country	Contacts
Samsun Gazi State Hospital	Recruiting	Samsun	Samsun	55000	Turkey (Türkiye)

References Module

Citations

PubMed Identifier	Type	Citation	Retractions
42010557	Derived	Alptekin HM, Ulubay S. The effect of an artificial intelligence-assisted motivational procedure on kinesiophobia and mobility after total knee arthroplasty: a randomized controlled trial. BMC Musculoskelet Disord. 2026 Apr 20;27(1):465. doi: 10.1186/s12891-026-09849-z.