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Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

(C) The OMOP standardized deidentified dataset. OMOP: Observational Medical Outcomes Partnership. Each data partner remains responsible for the management of their data, including generating a pseudonymized and deidentified extract. There are some preprocessing steps that they must perform to use the tool, but we have minimized the workload on each data partner.

Samuel Cox, Erum Masood, Vasiliki Panagi, Calum Macdonald, Gordon Milligan, Scott Horban, Roberto Santos, Chris Hall, Daniel Lea, Simon Tarr, Shahzad Mumtaz, Emeka Akashili, Andy Rae, Esmond Urwin, Christian Cole, Aziz Sheikh, Emily Jefferson, Philip Roy Quinlan

JMIR Res Protoc 2025;14:e60917

Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Several recent Canadian population-based studies have shown that many patients at high CVD risk continue to have low-density lipoprotein cholesterol (LDL-C) levels well above the guideline targets [2,3]. LDL-C has been extensively studied and described as a causal factor for CVD [4]. LDL-C levels above the target can result from multiple factors such as insufficient LDL-C lowering with statins, statin-related side effects, suboptimal medication adherence, and treatment inertia [5].

Meaghan E Kavanagh, Laura Chiavaroli, Selina M Quibrantar, Gabrielle Viscardi, Kimberly Ramboanga, Natalie Amlin, Melanie Paquette, Sandhya Sahye-Pudaruth, Darshna Patel, Shannan M Grant, Andrea J Glenn, Sabrina Ayoub-Charette, Andreea Zurbau, Robert G Josse, Vasanti S Malik, Cyril W C Kendall, David J A Jenkins, John L Sievenpiper

JMIR Cardio 2025;9:e58124

Treatment of Substance Use Disorders With a Mobile Phone App Within Rural Collaborative Care Management (Senyo Health): Protocol for a Mixed Methods Randomized Controlled Trial

Treatment of Substance Use Disorders With a Mobile Phone App Within Rural Collaborative Care Management (Senyo Health): Protocol for a Mixed Methods Randomized Controlled Trial

Panel (C) shows a behavioral activation task, and panel (D) showcases the points awarded for completing this task. Senyo Health chat feature being displayed from the perspective of the recovery coach. The left is conversations with multiple patients. Once selected, the full conversation appears in the center of the screen, with the recovery coach able to text back and forth. Surveys, modules, and activation tasks can also be assigned to the participant through the chat.

Tyler S Oesterle, Nicholas L Bormann, Margaret M Paul, Scott A Breitinger, Benjamin Lai, Jamie L Smith, Cindy J Stoppel, Stephan Arndt, Mark D Williams

JMIR Res Protoc 2025;14:e65693