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Video-based cognitive-behavioral intervention for COVID-19 anxiety: a randomized controlled trial
Reza Shabahang1, Mara S Aruguete2, Lynn McCutcheon3
1University of Tehran, Tehran, Iran.
Trends in Psychiatry and Psychotherapy
|May 27, 2021
Summary
A video-based cognitive-behavioral intervention effectively reduced anxiety related to coronavirus disease 2019 (COVID-19) in college students. This digital approach proved a feasible and beneficial alternative to traditional therapy during the pandemic.
Area of Science:
- Psychology
- Public Health
- Digital Health
Background:
- Face-to-face cognitive-behavioral interventions are effective for COVID-19 anxiety.
- Access to traditional therapy is limited by social distancing, quarantine, and expert shortages.
- Video-based interventions offer a potential solution to overcome these barriers.
Purpose of the Study:
- To evaluate the efficacy of a video-based cognitive-behavioral intervention for reducing COVID-19 anxiety.
- To assess its feasibility and acceptability as an alternative to in-person therapy.
Main Methods:
- A randomized controlled trial with 150 college students experiencing severe COVID-19 anxiety.
- Participants were assigned to a video-based cognitive-behavioral program (n=75) or a wait-list control (n=75).
- The intervention involved nine 15-20 minute sessions over three weeks, with various anxiety and interaction scales administered.
Main Results:
- The intervention group reported high satisfaction, parasocial interaction, and source credibility.
- Eighty percent found the video intervention a beneficial alternative to face-to-face therapy.
- Significant reductions in COVID-19 anxiety, health anxiety, anxiety sensitivity, and somatosensory amplification were observed compared to the control group.
Conclusions:
- Video-based cognitive-behavioral interventions are an affordable, feasible, and effective method for reducing pandemic-related anxiety.
- This approach can help overcome barriers to accessing mental health support during large-scale health crises.
- Digital mental health interventions show promise for widespread public health application.
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