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Dorronzoro-Zubiete E, Castro-Marrero J, Ropero J, Sevillano-Ramos JL, Dolores Hernández M, Sanmartin Sentañes R, Alegre-Martin J, Launois-Obregón P, Martin-Garrido I, Luque Budia A, Lacalle-Remigio JR, Béjar Prado L, Rivera Romero O. Personalized Management of Fatigue in Individuals With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Using a Smart Digital mHealth Solution: Protocol for a Participatory Design Approach. JMIR Res Protoc 2024; 13:e50157. [PMID: 38608263 PMCID: PMC11053387 DOI: 10.2196/50157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 07/27/2023] [Indexed: 04/14/2024] Open
Abstract
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. METHODS The MyFatigue project adopts a patient-centered approach within the participatory health informatics domain. Patient representatives will be actively involved in decision-making processes. This study combines inductive and deductive research approaches, using qualitative studies to generate new knowledge and quantitative methods to test hypotheses regarding the relationship between factors like physical activity, sleep behaviors, and perceived fatigue in ME/CFS and long COVID. Co-design methods will be used to develop a personalized digital solution for fatigue self-management based on the generated knowledge. Finally, a pilot study will evaluate the feasibility, acceptance, and potential benefits of the digital health solution. RESULTS The MyFatigue project opened to enrollment in November 2023. Initial results are expected to be published by the end of 2024. CONCLUSIONS This study protocol holds the potential to expand understanding, create personalized self-management approaches, engage stakeholders, and ultimately improve the well-being of individuals with ME/CFS and long COVID. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/50157.
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Affiliation(s)
| | - Jesús Castro-Marrero
- Research Unit in ME/CFS and Long COVID, Division of Rheumatology, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jorge Ropero
- Electronic Technology Department, Universidad de Sevilla, Sevilla, Spain
| | | | | | - Ramon Sanmartin Sentañes
- Research Unit in ME/CFS and Long COVID, Division of Rheumatology, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Division of Rheumatology, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jose Alegre-Martin
- Research Unit in ME/CFS and Long COVID, Division of Rheumatology, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
- Division of Rheumatology, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Patricia Launois-Obregón
- Physical Medicine and Rehabilitation Department, Vall d'Hebron University Hospital, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Isabel Martin-Garrido
- Unidad de Enfermedades Autoinmunes y Minoritarias, Servicio de Medicina Interna, Virgen del Rocio University Hospital, Sevilla, Spain
| | - Asuncion Luque Budia
- Salud Mental, Unidad de Gestión Clínica, Virgen del Rocio University Hospital, Sevilla, Spain
| | - Juan R Lacalle-Remigio
- Preventive Medicine and Public Health Department, Universidad de Sevilla, Sevilla, Spain
| | - Luis Béjar Prado
- Preventive Medicine and Public Health Department, Universidad de Sevilla, Sevilla, Spain
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