Literature DB >> 33692715

Comparative Effectiveness of Multiple Psychological Interventions for Psychological Crisis in People Affected by Coronavirus Disease 2019: A Bayesian Network Meta-Analysis.

Yang Yang1,2, Shaodan Sun3,4, Shaowen Hu5, Chunzhi Tang6, Yimin Zhang7, Haibo Lin1.   

Abstract

Objective: The objective of our current research is to compare the different psychological interventions and distinguish the most effective way to treat psychological crisis according to different clinical manifestations in people affected by coronavirus disease 2019 (COVID-19). No previous systematic review has provided a comprehensive overview by performing a Bayesian network meta-analysis of this current topic. Method: A systematic review and a Bayesian network meta-analysis were conducted on randomized controlled trials (RCTs), non-RCTs, case-control studies, self-controlled case series (SCCS), cohort studies, and cross-sectional studies of all the available interventions for psychological crisis in people affected by COVID-19. We searched the electronic databases EMBASE, PubMed, Web of Science, PsycINFO, and Cochrane Library, as well as the Chinese databases such as Sinomed, Chinese Biomedicine Literature (CBM), Chinese Scientific Journal Database (VIP), WanFang Database, and China National Knowledge Infrastructure (CNKI), from 2019 to April 30, 2020. The main outcomes were self-rating anxiety scale (SAS), self-rating depression scale (SDS), patient health questionnaire (PHQ-9), and symptom checklist (SCL-90). The study is registered with Inplasy, number 202050076. Result: Sixteen self-controlled case series (SCCS) comprising 1,147 participants compared five different psychological interventions with four different measurement scales were included in this study. For effectiveness, all the psychological therapies were significantly more effective than before intervention. Our results showed that supportive therapy (ST), which is adjusted to the COVID-19-related mental crisis, is the best treatment compared with behavioral therapy (BT), nursing-based psychological therapy (NBPT), traditional Chinese medicine therapy (TCMT), and COVID-19-related standard training (CRST) at reducing the anxiety-related symptoms assessed by SAS. When measured by SDS, BT was better than ST and NBPT treatment for reducing the depression symptoms. And ST was better than BT and ST+BT as assessed by PHQ-9. In the end, the last network meta-analysis indicated that NBPT was more effective than ST by the measurement of SCL-90.
Conclusion: Our research suggested the potential effectiveness of psychological interventions for decreasing psychological crisis in people affected by COVID-19 and try to introduce the best effective treatment options for clinical practice according to the clinical manifestations of psychological problems, but further confirmation from high-quality RCTs is needed.
Copyright © 2021 Yang, Sun, Hu, Tang, Zhang and Lin.

Entities:  

Keywords:  COVID-19; affected people; network meta-analysis; psychological crisis; psychological intervention

Year:  2021        PMID: 33692715      PMCID: PMC7937808          DOI: 10.3389/fpsyg.2021.577187

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  2 in total

Review 1.  Effects of mental health interventions among people hospitalized with COVID-19 infection: A systematic review of randomized controlled trials.

Authors:  Amina Tasleem; Yutong Wang; Kexin Li; Xiaowen Jiang; Ankur Krishnan; Chen He; Ying Sun; Yin Wu; Suiqiong Fan; Jill T Boruff; Sarah Markham; Danielle B Rice; Olivia Bonardi; Tiffany Dal Santo; Letong Li; Ian Thombs-Vite; Branka Agic; Christine Fahim; Michael S Martin; Sanjeev Sockalingam; Andrea Benedetti; Brett D Thombs
Journal:  Gen Hosp Psychiatry       Date:  2022-04-09       Impact factor: 7.587

2.  Effects of COVID-19 Mental Health Interventions Among Children, Adolescents, and Adults Not Quarantined or Undergoing Treatment Due to COVID-19 Infection: A Systematic Review of Randomised Controlled Trials.

Authors:  Olivia Bonardi; Yutong Wang; Kexin Li; Xiaowen Jiang; Ankur Krishnan; Chen He; Ying Sun; Yin Wu; Jill T Boruff; Sarah Markham; Danielle B Rice; Ian Thombs-Vite; Amina Tasleem; Tiffany Dal Santo; Anneke Yao; Marleine Azar; Branka Agic; Christine Fahim; Michael S Martin; Sanjeev Sockalingam; Gustavo Turecki; Andrea Benedetti; Brett D Thombs
Journal:  Can J Psychiatry       Date:  2022-03-11       Impact factor: 5.321

  2 in total

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