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The Effectiveness of Cognitive Behavioral Hypnotherapy on Self-efficacy, Resilience, Mental Health and Sleep Disorders of Treatment Staff Involved in the Care of Patients with COVID-19: A Semi-Experimental Study
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Farzaneh Norian    , Narges Rasouli * , Mehdi Fathi |
| Department of Psychology, Islamic Azad University, Kashmar Branch, Kashmar, Iran , Narges.rasouli@yahoo.com |
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Abstract: (1136 Views) |
Background & aim: Considering the widespread psychological effects caused by the spread of COVID-19 in societies, there is strong evidence that the treatment staff of hospitals, due to their jobs, are prone to the occurrence of many psychological disorders, such as reducing self-efficacy, resilience, mental health, and sleep disorders. The aim of this study was to evaluate the effectiveness of cognitive behavioral hypnotherapy on self-efficacy, resilience, mental health and sleep disorders of treatment staff involved in the care of patients with COVID-19.
Methods: The research method was quasi-experimental along with a pre-test-post-test design and a control group. The sample consisted of 30 medical staff involved in the care of patients with Covid-19 in Shahid Modares Hospital in Tehran who were randomly divided into experimental and control groups. Cognitive behavioral hypnotherapy sessions were held individually in eight sessions (each lasting for 120 minutes) and one session per week.
Results: Findings show that cognitive behavioral hypnotherapy had an effect on self-efficacy (F = 13.15, P<0.001), resilience (F = 19.59, P<0.001), mental health (F = 25.35, P<0.001) and sleep disorders (F = 98.43, P<0.001) in the treatment staff involved in the care of patients with COVID-19.
Conclusion: According to findings it can be concluded that this method can be used to treat disorders of the medical staff in the cases of COVID-19. |
Article number: 3 |
| Keywords: Coronavirus, Cognitive Behavioral Hypnotherapy, Self-Efficacy, Resilience, Mental Health, Sleep Disorder |
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Full-Text [PDF 1421 kb]
(375 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2022/12/16 | Accepted: 2023/01/22 | Published: 2023/01/22
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