AIDA - A Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients: Feasibility Study.
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Adhera Health, Inc.
- Enrollment
- 15
- Locations
- 1
- Primary Endpoint
- Behavioral outcome: Usability
Study Overview
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.
Study Design
- Study Type
- Interventional
- Allocation
- Na
- Intervention Model
- Single Group
- Primary Purpose
- Other
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
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:
- •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)
Arms & Interventions
Long COVID prospective group
Intervention: Adhera® Fatigue for Long COVID program (Behavioral)
Outcomes
Primary Outcomes
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.
Secondary Outcomes
No secondary outcomes reported