Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.
PLoS One. 2022 Jun 14;17(6):e0269882. doi: 10.1371/journal.pone.0269882. eCollection 2022.
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.
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.
PROSPERO registration number CRD42021271278.
2019 年冠状病毒病（COVID-19）在全球范围内造成了严重的公共卫生威胁。最近的证据表明，康复期的 COVID-19 患者经常会出现失眠，这降低了他们的生活质量并带来未知的风险。认知行为对失眠的积极影响在以前的研究中已经得到了很好的证实。鉴于 COVID-19 的高传染性和流行性，互联网提供的干预措施可能比面对面治疗更安全。然而，互联网提供的认知行为疗法是否能有效改善康复期 COVID-19 患者的失眠问题尚未完全确定。因此，我们进行了一项荟萃分析和系统评价，以评估互联网提供的认知行为疗法对 COVID-19 康复期患者失眠的疗效，旨在为其临床应用提供一些指导。
本系统评价和荟萃分析已在国际前瞻性系统评价登记处（PROSPERO）注册。两名研究人员将检索关于 COVID-19 康复期患者互联网提供的认知行为疗法治疗失眠的相关文献，检索范围包括 PubMed、Web of Science、Embase、MEDLINE、Cochrane 图书馆、ClinicalTrials.gov、中国生物医学文献数据库（CBM）和中国知网（CNKI），检索时间截至 2022 年 12 月 11 日。此外，我们将回顾纳入文献的相关试验和参考文献，并手动检索灰色文献。两名研究人员将独立提取数据和信息，并评价纳入文献的质量。采用 Review Manager 软件（版本 5.3）和 Stata 软件（版本 14.0）进行数据分析。采用 95%CI 的均数差或标准化均数差来计算连续变量以综合数据。此外，采用 I²和 Cochrane 来评估异质性。
PROSPERO 注册号 CRD42021271278。
