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Syst Rev ; 10(1): 289, 2021 11 01.
Article in English | MEDLINE | ID: covidwho-1496222


BACKGROUND: The coronavirus disease 19 (covid-19) pandemic has underscored the need to expedite clinical research, which may lead investigators to shift away from measuring patient-important outcomes (PIO), limiting research applicability. We aim to investigate if randomized controlled trials (RCTs) of covid-19 pharmacological therapies include PIOs. METHODS: We will perform a meta-epidemiological study of RCTs that included people at risk for, or with suspected, probable, or confirmed covid-19, examining any pharmacological treatment or blood product aimed at prophylaxis or treatment. We will obtain data from all RCTs identified in a living network metanalysis (NMA). The main data sources are the living WHO covid-19 database up to 1 March 2021 and six additional Chinese databases up to 20 February 2021. Two reviewers independently will review each citation, full-text article, and abstract data. To categorize the outcomes according to their importance to patients, we will adapt a previously defined hierarchy: a) mortality, b) quality of life/ functional status/symptoms, c) morbidity, and d) surrogate outcomes. Outcomes within the category a) and b) will be considered critically important to patients, and outcomes within the category c) will be regarded as important. We will use descriptive statistics to assess the proportion of studies that report each category of outcomes. We will perform univariable and multivariable analysis to explore associations between trial characteristics and the likelihood of reporting PIOs. DISCUSSION: The findings from this meta-epidemiological study will help health care professionals and researchers understand if the current covid-19 trials are effectively assessing and reporting the outcomes that are important to patients. If a deficiency in capturing PIOs is identified, this information may help inform the development of future RCTs in covid-19. SYSTEMATIC REVIEW REGISTRATIONS: Open Science Framework registration: .

COVID-19 , Epidemiologic Studies , Humans , Patient Reported Outcome Measures , Randomized Controlled Trials as Topic , SARS-CoV-2 , Systematic Reviews as Topic
J Affect Disord ; 277: 347-357, 2020 12 01.
Article in English | MEDLINE | ID: covidwho-726593


BACKGROUND: This study aimed at examining the impact of providing healthcare during health emergencies caused by viral epidemic outbreaks on healthcare workers' (HCWs) mental health; to identify factors associated with worse impact, and; to assess the available evidence base regarding interventions to reduce such impact. METHOD: Rapid systematic review. We searched MEDLINE, Embase, and PsycINFO (inception to August 2020). We pooled data using random-effects meta-analyses to estimate the prevalence of specific mental health problems, and used GRADE to ascertain the certainty of evidence. RESULTS: We included 117 studies. The pooled prevalence was higher for acute stress disorder (40% (95%CI 39 to 41%)), followed by anxiety (30%, (30 to 31%)), burnout (28% (26 to 31%)), depression (24% (24 to 25%)), and post-traumatic stress disorder (13% (13 to 14%)). We identified factors associated with the likelihood of developing those problems, including sociodemographic (younger age and female gender), social (lack of social support, stigmatization), and occupational (working in a high-risk environment, specific occupational roles, and lower levels of specialised training and job experience) factors. Four studies reported interventions for frontline HCW: two educational interventions increased confidence in pandemic self-efficacy and in interpersonal problems solving (very low certainty), whereas one multifaceted intervention improved anxiety, depression, and sleep quality (very low certainty). LIMITATIONS: We only searched three databases, and the initial screening was undertaken by a single reviewer. CONCLUSION: Given the very limited evidence regarding the impact of interventions to tackle mental health problems in HCWs, the risk factors identified represent important targets for future interventions.

Coronavirus Infections , Health Personnel/psychology , Mental Health , Pandemics , Pneumonia, Viral , COVID-19 , Humans , Prevalence , Stress Disorders, Post-Traumatic