Personalized Care Management for Persons with Parkinson’s Disease

Abstract

There is a growing awareness that delivery of integrated and personalized care is necessary to meet the needs of persons living with Parkinson’s disease. In other chronic diseases than Parkinson’s disease, care management models have been deployed to deliver integrated and personalized care, yielding positive effects on patients’ health outcomes, quality of life and health care utilization. However, care management models have been highly heterogeneous, as there is currently no clear operationalization of its core elements. In addition, most care management models are disease-specific and not tailored to the individual needs and preferences of a patient. In this viewpoint we present an integrated and personalized care management model for persons with Parkinson’s disease costing of five core elements: (1) care coordination, (2) patient navigation, (3) information provision, (4) early detection of signs and symptoms through proactive monitoring and (5) process monitoring. Following the description of each core element, implications for implementing the model into practice are discussed. Finally, we provide clinical and methodological considerations on the evaluation of care management models.

Moving towards Integrated and Personalized Care in Parkinson’s Disease: A Framework Proposal for Training Parkinson Nurses

“…What is personalized care? Personalizing care means adapting the care process to the patients’ needs and preferences [ 78 ] (813) (p.813). Van Halteren et al described five essential aspects of personalized care: providing information, proactively monitoring early detection signs and symptoms and the care process, coordinating care and navigating the patient in the healthcare system [ 78 ].…”

Co-designing an Integrated Care Network With People Living With Parkinson’s Disease: From Patients’ Narratives to Trajectory Analysis

“…As mentioned previously, the illness trajectory refers “not only to the physiological unfolding of a patient’s disease but to the total organization of work done over that course, plus the impact on those involved with that work and its organization” ( Strauss et al, 1985 , p. 8). PD is a chronic condition that is associated with specific medical and social challenges because of its nonlinear and unpredictable progression ( Nilsson et al, 2015 ; van Halteren et al, 2020 ). The trajectory analysis focuses on the work performed by the patients and care partners in collaboration with their health care providers to carry out a plan of action designed to self-manage their condition at home.…”

Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer

“…Thus, we have suggested individual model training as a methodological improvement to pursue this. To date, motor monitoring algorithms have typically been trained on group data; individual model training is suggested due to inter-subject heterogeneity of PD symptomatology [ 11 , 18 , 20 , 31 ]. This hypothesis is strengthened by a recent successful algorithm innovation combining short- and long-time epochs in a deep learning model correlating wrist and ankle-worn accelerometer metrics with total UPDRS III scores on 5 min epochs [ 32 ].…”