dc.creator | Dorronzoro Zubiete, Enrique | es |
dc.creator | Castro Marrero, Jesús | es |
dc.creator | Ropero Rodríguez, Jorge | es |
dc.creator | Sevillano Ramos, José Luis | es |
dc.creator | Dolores Hernández, María | es |
dc.creator | Sanmartín Sentanes, Ramón | es |
dc.creator | Alegre Martín, José | es |
dc.creator | Launois Obregón, Patricia | es |
dc.creator | Martín Garrido, Isabel | es |
dc.creator | Luque Budia, Asunción | es |
dc.creator | Lacalle Remigio, Juan Ramón | es |
dc.creator | Béjar Prado, Luis María | es |
dc.creator | Rivera Romero, Octavio | es |
dc.date.accessioned | 2024-06-03T09:53:58Z | |
dc.date.available | 2024-06-03T09:53:58Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Dorronzoro Zubiete, E., Castro Marrero, J., Ropero Rodríguez, J., Sevillano Ramos, J.L., Dolores Hernández, M., Sanmartín Sentanes, R.,...,Rivera Romero, O. (2024). 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 RESEARCH PROTOCOLS, 13 (1), e50157. https://doi.org/10.2196/50157. | |
dc.identifier.issn | 1929-0748 | es |
dc.identifier.uri | https://hdl.handle.net/11441/159599 | |
dc.description.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. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación (España) PID-2021-125528OB-I00 | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | JMIR PUBLICATIONS, INC | es |
dc.relation.ispartof | JMIR RESEARCH PROTOCOLS, 13 (1), e50157. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Acceptability | es |
dc.subject | Myalgic encephalomyelitis/chronic fatigue syndrome | es |
dc.subject | Long COVID | es |
dc.subject | MHealth | es |
dc.subject | Fatigue | es |
dc.subject | Physical activity | es |
dc.subject | Lifestyle health | es |
dc.subject | Personalized self-management | es |
dc.subject | User-centered design | es |
dc.title | 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 | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | PID-2021-125528OB-I00 | es |
dc.relation.publisherversion | https://www.researchprotocols.org/2024/1/e50157 | es |
dc.identifier.doi | 10.2196/50157 | es |
dc.journaltitle | JMIR RESEARCH PROTOCOLS | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | e50157 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es |