scholarly journals The Quality of Research on Mental Health Effects of the COVID-19 Pandemic: A Note of Caution after a Systematic Review

2020 ◽  
Author(s):  
Ines Nieto ◽  
Juan F Navas ◽  
Carmelo Vazquez
Author(s):  
W. Tyler Winders ◽  
Nirma D. Bustamante ◽  
Stephanie Chow Garbern ◽  
Corey Bills ◽  
Amin Coker ◽  
...  

ABSTRACT Objectives: This review systematically explores the current available evidence on the effectiveness of interventions provided to first responders to prevent and/or treat the mental health effects of responding to a disaster. Methods: A systematic review of Medline, Scopus, PsycINFO, and gray literature was conducted. Studies describing the effectiveness of interventions provided to first responders to prevent and/or treat the mental health effects of responding to a disaster were included. Quality was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria, and the Critical Appraisal Skills Programme (CASP) checklist. Results: Manuscripts totaling 3869 met the initial search criteria; 25 studies met the criteria for in-depth analysis, including 22 quantitative and 3 qualitative studies; 6 were performed in low- and middle-income countries (LMICs); 18 studies evaluated a psychological intervention; of these, 13 found positive impact, 4 found no impact, and 1 demonstrated worsened symptoms after the intervention. Pre-event trainings decreased psychiatric symptoms in each of the 3 studies evaluating its effectiveness. Conclusions: This review demonstrates that there are likely effective interventions to both prevent and treat psychiatric symptoms in first responders in high-, medium-, and low-income countries.


Author(s):  
Hebaat Onapa ◽  
Christopher F. Sharpley ◽  
Vicki Bitsika ◽  
Mary E. McMillan ◽  
Katie MacLure ◽  
...  

2021 ◽  
Author(s):  
Michelle Angelique Strasser ◽  
Philip Sumner ◽  
Denny Meyer

COVID-19 has brought an epidemic of information which has produced detrimental mental health effects for young people. This systematic review protocol outlines the approach to investigating the available literature which assesses the relationship between COVID-19 related news and mental health outcomes in young people.


2020 ◽  
Author(s):  
Ines Nieto ◽  
JUAN FRANCISCO NAVAS ◽  
Carmelo Vazquez

Background: SARS-CoV-2 pandemic has spurred scientific production in diverse fieldsof knowledge, including mental health. Yet, the quality of current research may bechallenged by the urgent need to provide immediate results to understand and alleviatethe consequences of the pandemic. This systematic review aims to examine compliancewith basic methodological quality criteria and open science practices on the mental healtheffects of the COVID-19 pandemic.Methods: A systematic search was performed using PubMed and Scopus databases onthe 13th of May. Empirical studies, published in peer-reviewed journals in English,between February and May 2020, were included. The dependent variable(s) required tobe quantitative and related to mental health. Exclusion criteria included clinicalpharmacological trials, and studies using psychophysiological or biological recordings.The study protocol was previously pre-registered in https://osf.io/bk3gw/.Findings: Twenty-eight studies were identified. More than 75% met the requirementsrelated to reporting key methodological and statistical information. However, 89.3% usedconvenience samples and 92.86% lacked of a priori power analysis. There was lowcompliance with open science recommendations, such as pre-registration of studies (0%)and availability of databases (3.57%), which raise concerns about the validity,generalisability, and reproducibility of the findings.Interpretation: While the importance of offering rapid evidence-based responses tomitigate mental health problems stemming from the COVID-19 pandemic is undeniable,it should not be done at the expense of sacrificing scientific rigor. The results of this studymay stimulate researchers and funding agencies to try to orchestrate efforts and resourcesand follow standard codes of good science.


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