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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

In this study, we will leverage this well-characterized cohort and describe the protocol for AT-HOME PD2 (Assessing Telehealth Outcomes in Multiyear Extensions of Parkinson Disease Trials–2), a decentralized observational study with clinical and digital phenotyping that will: (1) evaluate the extent to which digital tools and remote participant reporting can improve the prediction of falls and cognitive impairment compared with traditional models; (2) quantify change in physical activity and gait over time;

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

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Data Sharing in a Decentralized Public Health System: Lessons From COVID-19 Syndromic Surveillance

Data Sharing in a Decentralized Public Health System: Lessons From COVID-19 Syndromic Surveillance

Due to the decentralized public health structure inherent to US federalism, strong interagency and intergovernmental relationships are essential for any national public health response. Data sharing between agencies is also critically important in these responses. Indeed, fractures in relationships can be potent data sharing barriers [23]. Relationships are established through time spent communicating and working with each other.

Ryan C Rigby, Alva O Ferdinand, Hye-Chung Kum, Cason Schmit

JMIR Public Health Surveill 2024;10:e52587

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Deployment of an End-to-End Remote, Digitalized Clinical Study Protocol in COVID-19: Process Evaluation

Deployment of an End-to-End Remote, Digitalized Clinical Study Protocol in COVID-19: Process Evaluation

Digitalized and decentralized clinical study design allows investigators to recruit more heterogeneous populations, reduce the burdens of participation, and capture the experience of participants in real-world settings [2-4]. The SARS-Co V-2 (COVID-19) pandemic may accelerate the shift toward digitalized and decentralized clinical studies [5], forcing researchers to implement remote solutions that limit in-person interaction, while preserving clinical study integrity [1,5].

Nicole Zahradka, Juliana Pugmire, Jessie Lever Taylor, Adam Wolfberg, Matt Wilkes

JMIR Form Res 2022;6(7):e37832

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Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan

Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan

These containment measures display heterogeneities in terms of their design: decentralized (ie, mostly privacy-first) versus centralized (ie, mainly data-first) deployment frameworks have emerged alongside Bluetooth-, GPS-, and quick response (QR)–based sensor technologies [5,9].

Ichiro Nakamoto, Ming Jiang, Jilin Zhang, Weiqing Zhuang, Yan Guo, Ming-Hui Jin, Yi Huang, Kuotai Tang

JMIR Mhealth Uhealth 2020;8(12):e22098

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