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Dataset Information

Perspectives of people living with Parkinson's disease on personalized prediction models.


ABSTRACT:

Background

There is a great need for the development of personalized prediction models (PPMs) that can predict the rate of disease progression for persons with Parkinson's disease (PD), based on their individual characteristics. In this study, we aimed to clarify the perspective of persons diagnosed with PD on the value of such hypothetical PPMs.

Methods

We organized four focus group discussions, each including five persons with PD who were diagnosed within the last 5 years. The sessions focused on what they think of receiving a personalized prediction; what outcomes are important to them; if and how the possibility of influencing the prognosis would change the way they think of personalized predictions; how they deal with the uncertainty from a PPM; and what barriers and fa

SUBMITTER: van den Heuvel L 

PROVIDER: S-EPMC9327833 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature