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Using Data Collection to Improve Parkinson Disease Treatment Personalization: Amanda Hare, DNP

The doctor of nursing practice specialized in movement disorders discussed specific data the StrivePD app captures and how it can enhance quality of life for patients with Parkinson disease. [WATCH TIME: 3 minutes]

WATCH TIME: 3 minutes

"StrivePD empowers patients to focus on what brings them joy and quality of life. By tracking what they want to do but can’t, we can help them identify patterns and work together to reduce symptoms, making daily life more meaningful."

Parkinson disease (PD) is a multifactorial neurodegenerative disorder that affects approximately 10 million people worldwide. The disease, which is the second most common neurodegenerative disorder worldwide, is primarily managed through medications like levodopa and deep brain stimulation. To date, there are no FDA-approved treatments that target the underlying pathology of the disease; however, there has been improvements in the treatment optimization of available therapies to minimize effects of the disease.

One mobile device application, StrivePD, allows patients to track their symptoms over time, giving them greater insights on how medications and physical activity impact their daily functioning. Through the app, patients can learn from patterns in behaviors to manage their condition better, and set-up medication reminders for adherence. In addition, both clinicians and patients are able to view the symptom data in one place, allowing for improved communication and better understanding of patients’ well-being. Furthermore, through the app, patients may be able to participate in IRB-approved clinical trials for PD.

To learn more about the data collection StrivePD offers, and how it may be valuable to patients with PD, NeurologyLive® sat down with Amanda Hare, DNP, a doctor of nursing practice specialized in movement disorders and medical science liaison at Rune Labs. In the interview, she stressed that the app allows user to log symptoms, daily activities, and medication adherence, creating personalized reports that help users and clinicians identify trends and adjust treatments for optimal daily functioning. Furthermore, she touched on the latest changes to the software, introducing an artificial intelligence-driven, auto-generated monthly reports, enabling over 10,000 users to see trends in symptoms, medication use, and activity.

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