Post Acute COVID-19 Syndrome
Conditions
Keywords
Long COVID, mhealth, digital health, emotional health, behavioral intervention, mental wellbeing, mood disturbance, emotional adjustment
Brief summary
The AIDA feasibility study builds upon mental health and technology acceptance theoretical frameworks. It examines the feasibility of a mobile-based digital program to support patients with long covid affected by fatigue. The program Adhera ® Fatigue Self-management is adapted for long covid patients.
Detailed description
The study will explore the usability and engagement of a digital program designed for long covid patients affected by fatigue. The digital program relies on the Adhera® personalized digital health solution that includes personalized patient education and support, monitoring using psychometrics and wearables, and mental wellbeing exercises. The patients access the mobile solution via a mobile app. A total of 15 patients will be recruited and use the mobile solution for one month.
Interventions
Adhera® for the Long COVID program, which includes an application and a smartwatch, supported by digital health solution based on emotional and behavioral change techniques. Patient Adaptative Self-Management Content (e.g. psycho-educational content, activities for mental wellbeing, personalized motivational messages), and the personalization is based on Adhera® Health Recommender System. Wearable devices and the mobile app will be used to collect real-time data for 4 weeks to detect biometric and psychometric (patient-reported outcomes) information.
Sponsors
Study design
Eligibility
Inclusion criteria
* Legal adults (older than 18) * Long COVID diagnosis within the last year * In possession of a compatible smartphone (Android OS v4.4 or higher) * Reporting any of these symptoms: * Fatigue * Dyspnea * Anxiety * Stress * Depression * Sleep disorder
Exclusion criteria
* Hospital admission during follow-up due to pathology not related to COVID-19 * Patients without digital literacy or who cannot use the mobile application. * Known severe psychiatric illness or cognitive impairment * Being pregnant (or suspected to be pregnant)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Behavioral outcome: Usability | At week 4 | mHealth solution usability assessed with the System Usability Scale (SUS) questionnaire. SUS can range between 0 and 100 scores, with higher values representing higher usability. |
Countries
Spain