An interventional study of artificial intelligent-based training and artificial intelligent-based Benson's relaxation exercise in PARKINSON DISEASE (Disorder), Caregiver Burden and Caregiver Stress, sponsored by Ataturk University. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-21.
Sponsored by Ataturk University · Not applicable, Interventional, and Supportive care
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:
Given the progressive nature of Parkinson's disease, individuals experience a progressive decline in their ability to perform daily activities. In such cases, they require support and assistance. People with Parkinson's are generally cared for by spouses, adult children, close relatives, or other family members. Caregivers are exposed to stress and the burden of care. It has been noted that providing caregivers with regular training on managing the disease process, along with follow-up support after the training, can reduce the caregiver's anxiety and facilitate the management of the patient's care. The use of complementary and alternative methods has been steadily increasing in recent years. The Benson relaxation technique, one of the most useful and well-known non-pharmacological interventions, is a reliable method that can alleviate various physical and mental symptoms such as anxiety, stress, and pain.
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 this study, caregivers in the experimental group will receive training on Parkinson's disease care and the Benson relaxation exercise. 1. The experimental group will receive training on Parkinson's disease and on managing common issues associated with the disease. The training content was prepared by the researcher through a review of the literature and consultation with experts in the field. 2. The training for the experimental group, which includes the Benson relaxation exercise, will cover the definition, benefits, and steps for performing the Benson relaxation exercise.
To enable participants to continue the training and the Benson relaxation exercise module at home, the AI-based module will be downloaded to their phones via a link sent by the researcher. The training provided to the experimental groups will last 4 weeks. Throughout the 4 weeks, the researcher will monitor participants' engagement with the training via the AI module. No training will be provided to the control group.
4,583 studies on the registry are indexed under Parkinson Disease; 1,097 are open to participants now.
This study's planned enrollment of 102 is above the median of 40 across 3,365 interventional studies indexed under Parkinson Disease.
Browse Parkinson Disease studies →Ataturk University is the lead sponsor of 454 studies on the registry; 123 are open to participants now.
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Exclusion Criteria:
Artificial intelligent-based training
Behavioral: artificial intelligent-based training
Artificial intelligent-based Benson's relaxation exercises
Behavioral: artificial intelligent-based Benson's relaxation exercise
usual care
experimental group
experimental group
Zarit Caregiver Burden Scale
This is a measure used to assess the stress experienced by caregivers of individuals requiring care or the elderly. The measurement tool consists of 22 items. The items are Likert-type, and each item is rated on a scale of 0 to 4, using the response options "never," "rarely," "sometimes," "often," or "almost always." A score ranging from 0 to 88 is possible on this scale. A high scale score indicates a high level of distress.
Time frame: The scale will be completed at the start of the study and 4 weeks after the completion of training and exercise.
Caregiver Stress Scale
It was developed to measure the caregiving burden. It consists of 13 items. There is at least one item for each category: physical, social, work, financial, and time. On the scale, a score of 7 or higher indicates a higher level of stress.
Time frame: The scale will be completed at the start of the study and 4 weeks after the completion of training and exercise.
No study locations are listed for this record.
Plan to share: No
No publications or documents are linked to this record.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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