Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jul 18, 2021
Date Accepted: Nov 30, 2021
Date Submitted to PubMed: Jan 4, 2022

The final, peer-reviewed published version of this preprint can be found here:

An mHealth App for Fibromyalgia-like Post–COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data

BLANCHARD M, Backhaus L, Ming Azevedo P, Hügle T

An mHealth App for Fibromyalgia-like Post–COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data

JMIR Res Protoc 2022;11(2):e32193

DOI: 10.2196/32193

PMID: 34982039

PMCID: 8820761

A Mobile Health Application for the Fibromyalgia-Like Post-COVID19 Syndrome: Study Protocol for User Experience and Clinical Data Analysis

  • Marc BLANCHARD; 
  • Lars Backhaus; 
  • Pedro Ming Azevedo; 
  • Thomas Hügle

ABSTRACT

Background:

Post-COVID19 syndrome, also referred as ‘long covid’, describes persisting symptoms after SARS-CoV2 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.

Objective:

To study requirements and features of a new mobile health application in patients suffering from fibromyalgia-like post-COVID19 syndrome in a clinical trial.

Methods:

We created a web-application prototype for the post-COVID19 syndrome called ‘POCOS’, as an online rehabilitation tool aiming to improve clinical outcomes. Only patients without organ damage or ongoing inflammation will be included in the study. The app use will be assessed by user experience questionnaires, focus groups and clinical data analysis. Subsequently, we will analyze cross-sectional and longitudinal clinical data.

Results:

The front-end development of the 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 online instructions for specific physical and respiratory exercises, stress reduction and lifestyle instructions. The enrollment of the participants is expected for November 2021.

Conclusions:

User 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 application for the treatment of the fibromyalgia-like post-COVID19 syndrome and discuss the relevance of the potential outcomes such as natural disease course and diseases phenotypes.


 Citation

Please cite as:

BLANCHARD M, Backhaus L, Ming Azevedo P, Hügle T

An mHealth App for Fibromyalgia-like Post–COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data

JMIR Res Protoc 2022;11(2):e32193

DOI: 10.2196/32193

PMID: 34982039

PMCID: 8820761

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.