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Effect of internet-delivered cognitive behavioral therapy on insomnia in convalescent patients with COVID-19: Protocol for a systematic review and meta-analysis.
Chen, Yan; Zhou, Xiang; Liu, Jie; Li, Rui; Jiang, Zihan; Wang, Lina; Wang, Shuya; Li, Bo.
  • Chen Y; Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
  • Zhou X; Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.
  • Liu J; Huaihe Hospital of Henan University, Kaifeng, Henan, China.
  • Li R; Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
  • Jiang Z; Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
  • Wang L; Huaihe Hospital of Henan University, Kaifeng, Henan, China.
  • Wang S; Huaihe Hospital of Henan University, Kaifeng, Henan, China.
  • Li B; Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
PLoS One ; 17(6): e0269882, 2022.
Article in English | MEDLINE | ID: covidwho-1892328
ABSTRACT

INTRODUCTION:

Coronavirus Disease 2019 (COVID-19) has made a serious public health threat worldwide. Recent evidence has indicated that COVID-19 patients in convalescence frequently experience insomnia, which reduces their quality of life and causes unknown risks. The positive effect of cognitive behavior on insomnia has been well addressed in previous studies. Given the high infectivity and epidemicity of COVID-19, Internet-delivered intervention may be safer than face-to-face treatment. However, whether Internet-delivered cognitive behavioral therapy can effectively improve the insomnia of COVID-19 patients in convalescence has not been completely determined yet. Therefore, we conducted a meta-analysis and systematic review to evaluate the effects of Internet-delivered cognitive behavioral therapy on insomnia in COVID-19 patients in convalescence, with the aim to confer some guidance for its clinical application. METHODS AND

ANALYSIS:

This systematic review and meta-analysis has been registered in the International Prospective Register of Systematic Reviews (PROSPERO). Two researchers will retrieve the relevant literature on Internet-delivered cognitive behavioral therapy for insomnia in convalescent patients with COVID-19 in PubMed, Web of Science, Embase, MEDLINE, Cochrane Library, Clinical Trials gov, Chinese Biomedical Literature Database (CBM), and Chinese National Knowledge Infrastructure (CNKI) from inception to 11th of December. In addition, we will review the relevant trials and references of the included literature and manually searched the grey literature. The two researchers will independently extracted data and information and evaluated the quality of the included literature. The Review Manager software (version 5.3) and Stata software (version 14.0) will be used for data analysis. The mean difference or the standardized mean difference of 95% CI will be used to calculate continuous variables to synthesize the data. In addition, I2 and Cochrane will be used for heterogeneity assessment. TRIAL REGISTRATION PROSPERO registration number CRD42021271278.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Cognitive Behavioral Therapy / COVID-19 / Sleep Initiation and Maintenance Disorders Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0269882

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cognitive Behavioral Therapy / COVID-19 / Sleep Initiation and Maintenance Disorders Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0269882