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Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Fox Insight is an online, observational research study sponsored by the Michael J Fox Foundation for Parkinson’s Research [47]. Every 3 months, participants complete a set of questionnaires, including the Patient Global Impression–Change, PD Patient Report of Problems [36], PD questionnaire-8 [48], and the Non-Motor Symptoms Questionnaire [49]. The Penn Parkinson’s Daily Activities Questionnaire [50], EQ-5 D [51], and MDS-UPDRS part II are completed on a biannual basis.

Audrey Hoyt, Casey Dorney, Peggy Auinger, Kathryn Murphy, Michelle Porto, Katrina Schmier, Renee Wilson, James C Beck, Stephanie Benvengo, Kevin Biglan, E Ray Dorsey, Alberto J Espay, Eric A Macklin, Mariana HG Monje, Dan Novak, David Oakes, Larsson Omberg, Michael A Schwarzschild, Solveig K Sieberts, Tanya Simuni, Caroline M Tanner, Daniel Weintraub, Ruth B Schneider

JMIR Res Protoc 2025;14:e71955

User Character Strengths and Engagement Prediction on a Digital Mental Health Platform for Young People: Longitudinal Observational Study

User Character Strengths and Engagement Prediction on a Digital Mental Health Platform for Young People: Longitudinal Observational Study

The x-axis represents the week number, and the y-axis represents the log-transformed engagement metric; (A-C) time on platform, (D-F) sessions on platform, (G-I) reactions on the social network, (J-L) messages to the clinical team. Measurements of engagement metrics were log-transformed to allow comparability of the resultant coefficients. The solid lines represent the mean score on the character strengths factor, while the dashed lines represent 1 SD from the mean.

Alicia J Smith, Shaminka N Mangelsdorf, Simon T E Baker, Javad Jafari, Mario Alvarez-Jimenez, Caitlin Hitchcock, Shane Cross

J Med Internet Res 2025;27:e73793