Effect of Artificial Intelligent-based Training and Benson Relaxation Exercises on Caregiver Burden and Stress Levels in Caregivers of Patients With Parkinson's Disease

The aim of this study is to evaluate the effect of artificial intelligence-supported training and the Benson relaxation exercise on the care burden and stress levels of caregivers of people with Parkinson's disease. In the study, caregivers of people with Parkinson's disease will receive training on caring for people with Parkinson's disease and on the Benson relaxation exercise. The training sessions will be conducted using an artificial intelligence-based module. Participants will be randomly assigned to three groups: a training group, an exercise group, and a control group. A caregiver information form, the Modified Hoehn and Yahr Scale, the Zarit Caregiver Burden Scale, and the Caregiver Stress Scale will be used to collect pretest data from all participants during the initial interview. The training sessions for the experimental group will last 4 weeks. No training will be provided to the control group. Four weeks later, the Zarit Caregiver Burden Scale and the Caregiver Stress Scale will be used to collect final test data from the experimental and control groups. The hypotheses related to this study are as follows: * Artificial intelligence-supported training provided to caregivers of people with Parkinson's disease affects the burden of care. * The Benson relaxation exercise provided to caregivers of people with Parkinson's disease affects the burden of care. * Artificial intelligence-supported training provided to caregivers of people with Parkinson's disease affects stress levels. * The Benson relaxation exercise administered to caregivers of people with Parkinson's disease affects stress levels.