Enrique Dorronzoro-Zubiete, Jesús Castro-Marrero, Jorge Ropero, José Luis Sevillano-Ramos, María Dolores Hernández, Ramon Sanmartin Sentañes, Jose Alegre-Martin, Patricia Launois-Obregón, Isabel Martin-Garrido, Asuncion Luque Budia, Juan R Lacalle-Remigio, Luis Béjar Prado, Octavio Rivera Romero
BACKGROUND: Fatigue is the most common symptom in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID, impacting patients' quality of life; however, there is currently a lack of evidence-based context-aware tools for fatigue self-management in these populations. OBJECTIVE: This study aimed to (1) address fatigue in ME/CFS and long COVID through the development of digital mobile health solutions for self-management, (2) predict perceived fatigue severity using real-time data, and (3) assess the feasibility and potential benefits of personalized digital mobile health solutions...
April 12, 2024: JMIR Research Protocols