- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05483829
Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients Affected by Fatigue (AIDA) (AIDA)
AIDA - A Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients: Feasibility Study.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Catalonia
-
Sant Fruitós De Bages, Catalonia, Spain, 08272
- Gerencia Territorial de la Catalunya Central - Institut Catala de la Salut
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
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)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Long COVID prospective group
|
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. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Behavioral outcome: Usability
Time Frame: 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.
|
At week 4
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Josep Vidal-Alaball, MD, PhD, Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- FAT-22-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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