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This study presents a digital mental-health protocol designed to offer remote, personalized support to former or current COVID-19 patients.
A total of 100 subjects will be enrolled. Participation is voluntary, and an extended informed-consent form is signed before any evaluation, assessment or voice/video call. Consent forms are collected remotely for those who have been discharged and are currently in remission and in-person for subjects hospitalized in a COVID-19-ward of either pneumology, internal medicine or infectious disease departments.
Efforts will be made to assess all participants who have completed the minimum required intervention activities: for DigiCOVID, minimum required intervention activities include attending psychotherapy sessions at least 4 times. As the main goal of this project is to evaluate the feasibility, acceptability and usability of DigiCOVID, the investigators will conduct an analysis of the following primary outcome measures in all ITT participants:
The secondary outcome measures will be collected at baseline and immediately after the treatment for all participants. The investigators designed DigiCOVID to improve mental wellbeing. Therefore, the investigators will measure the impact of the intervention by looking at pre-post changes in the following outcome measures: the General Health Questionnaire (GHQ-12) (Goldberg, 1988) , the Impact of Event Scale-Revised (IES-R) (Weiss & Marmar, 1997), the General Anxiety Disorder-7 (GAD-7) (Robert L Spitzer et al., 2006), the Insomnia Severity Index (ISI) (Morin et al., 2011), and the Patient Health Questionnaire (PHQ-9) (Kroenke et al., 2001). The investigators expect to observe a significant improvement across all these secondary outcome measures in COVID-19 patients. To verify these experimental hypotheses, the investigators will conduct the analysis based on the pre-intervention (baseline) and post-intervention data using parametric and non parametric statistical tests. The criterion for statistical significance is p < 0.05. Results with p < 0.1 will be described as trends.
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100 participants in 1 patient group
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Central trial contact
Paolo Brambilla; Bruno Biagianti
Data sourced from clinicaltrials.gov
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