COVIDAI: Feasibility Study of Adhera® Fatigue Digital Program for Patients With Long COVID-related Fatigue
COVIDAI: Feasibility Study of Adhera® Fatigue Digital Program for Patients With Long COVID-related Fatigue
Adhera® Fatigue Digital Program (or AFDP) is a digital health program based on behavioral and emotional change techniques that provides personalized physical and emotional self-management support for patients with long COVID-related fatigue.
The digital health solution is designed to be used for 3 months, and includes a mobile application and a smartwatch. This is a clinical study, with 30 participants in the experimental intervention group and 30 in the control group, that will be carried out at the Jordi Gol Primary Care Research Institute (IDIAPJGol) - Institut Català de la Salut and Distrito sanitario Aljarafe-Sevilla Norte (DASN) - Servicio Andaluz de Salud, in Spain. The investigators will focus on evaluating the feasibility of the program in supporting fatigue and also physical and emotional self-management and, consequently, in improving the patients' well-being and quality of life.
The COVIDAI study will collect data on symptomatology and emotional well-being in a population of patients with fatigue related to a diagnosis of long COVID for 3 months using or not using the Adhera® Fatigue Digital Program (30 participants in the experimental intervention group and 30 in the control group). The aim of the study is to evaluate the feasibility of the program in supporting physical and emotional self-management in long COVID patients with fatigue and, consequently, in improving the patients' quality of life.
Personalized digital health solutions for both physiological and psychological long COVID-related symptoms would allow an optimization of the cost-effectiveness model for the management of long COVID patients. Similarly, the early detection of complications associated to long COVID on patients from vulnerable groups would improve the care timeline and the patient's prognosis.
Inclusion Criteria:
Exclusion Criteria: