ArticleJMIR research protocols2022
An mHealth App for Fibromyalgia-like Post-COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data.
Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- A systematic scoping review and conceptual analysis of new-onset fibromyalgia manifestations after non-hospitalized COVID-19: empirics, definitions, methodologies, pathophysiology, mapping of literature, and knowledge gaps.Journal of translational medicine · 2026Article
- Impact of Different Onboarding Strategies on Low Adoption and Engagement With a Self-Monitoring and Management App for Chronic Musculoskeletal Pain: Prospective Study.JMIR mHealth and uHealth · 2026Article
- Article
- [Digital treatment of fibromyalgia].Zeitschrift fur Rheumatologie · 2025Review
- 'I Do Take the Number Seriously, but I Don't Let My Moods Depend on It': Negotiating Self-Tracking Data With People Living With Long COVID in the Netherlands, Austria and Switzerland.Sociology of health & illness · 2025Article
- User Experience of and Adherence to a Smartphone App to Maintain Behavior Change and Self-Management in Patients With Work-Related Skin Diseases: Multistep, Single-Arm Feasibility Study.JMIR formative research · 2025Article
- Article
- Generative AI-based knowledge graphs for the illustration and development of mHealth self-management content.Frontiers in digital health · 2024Article
- Development and Validation of a Mobile Application as an Adjuvant Treatment for People Diagnosed with Long COVID-19: Protocol for a Co-Creation Study of a Health Asset and an Analysis of Its Effectiveness and Cost-Effectiveness.International journal of environmental research and public health · 2022Article
- Construct Validity and Test-Retest Reliability of a Free Mobile Application to Evaluate Aerobic Capacity and Endurance in Post-COVID-19 Syndrome Patients-A Pilot Study.Journal of clinical medicine · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPost-COVID-19 syndrome, also referred as "long covid," describes persisting symptoms after SARS-CoV-2 infection, including myalgia, fatigue, respiratory, or neurological symptoms. Objective symptoms are often lacking, thus resembling a fibromyalgia-like syndrome. Digital therapeutics have shown efficiency in similar chronic disorders such as fibromyalgia, offering specific disease monitoring and interventions such as cognitive behavioral therapy or physical and respiratory exercise guidance.
objectiveThis protocol aims to study the requirements and features of a new mobile health (mHealth) app among patients with fibromyalgia-like post-COVID-19 syndrome in a clinical trial.
methodsWe created a web application prototype for the post-COVID-19 syndrome called "POCOS," as a web-based rehabilitation tool aiming to improve clinical outcomes. Patients without organ damage or ongoing inflammation will be included in the study. App use will be assessed through user experience questionnaires, focus groups, and clinical data analysis. Subsequently, we will analyze cross-sectional and longitudinal clinical data.
resultsThe developed mHealth app consists of a clinically adapted app interface with a simplified patient-reported outcome assessment, monitoring of medical interventions, and disease activity as well as web-based instructions for specific physical and respiratory exercises, stress reduction, and lifestyle instructions. The enrollment of participants is expected to be carried out in November 2021.
conclusionsUser experience plays an important role in digital therapeutics and needs to be clinically tested to allow further improvement. We here describe this process for a new app for the treatment of the fibromyalgia-like post-COVID-19 syndrome and discuss the relevance of the potential outcomes such as natural disease course and disease phenotypes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/32193.
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