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

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