n Parkinson's disease (PD), implementation of self-management strategies together with high patient activation may be an effective tool in fighting the long-lasting burden of the disease, but little is known about its determinant.~The aims of this study, conducted among patients with PD are to (1) test the association between socio-clinical factors that includes age, gender, cognitive status, comorbidities, disease severity (motor and non-motor symptoms) and social support and SMBs including utilization of rehabilitative treatments (an aspect of medical management), physical activity (an aspects of lifestyle management), and patient activation, and (2) to develop predictive model for each of these three aspects of SMB, based on socio-clinical factors that includes age, gender, cognitive status, comorbidities, disease severity (motor and non-motor symptoms) and social support.~A cross-sectional study of 100 patients that attend a Movement Disorder Clinic with PD will be conducted. Participation will include one evaluation session of approximately 90 minutes. Information about socio-clinical characteristics and self-management behaviors will be collected using demographic questionnaires, standard questionnaires and from electronic medical records. Regression model will test the association between sociodemographic characteristics and self-management behaviors and patient activation.
Self-management focuses on the behaviors that people with chronic disease use in order to maintain and improve their health and well-being and includes aspects such as medical and lifestyle management. Parkinson's disease (PD) is a chronic, progressive, incurable neurodegenerative disorder that affects motor and non-motor function. Engagement in self-management behaviors and high activation may be effective tools in fighting the long-lasting burden of the disease. The goal of the current study was to explore socio-clinical factors that associate with specific self-management behaviors and patient activation among patients with Parkinson's disease. PwP were recruited from the Movement Disorders Institute, Department of Neurology, Rambam Health Care Campus. Eligible patients were assessed for cognitive status and filled questionnaires regarding socio-clinical factors included age, gender, severity of motor and non -motor symptoms, family and social support. Data about the comorbidities were retrieved from electronic medical records