RESUMEN
ObjectivesHealthcare workers have greater exposure to SARS-CoV-2 and an estimated 2.5-fold increased risk of contracting COVID-19 than the general population. We wished to explore the predictive role of basic demographics to establish a simple tool that could help risk stratify healthcare workers.SettingWe undertook a review of the published literature (including multiple search strategies in MEDLINE with PubMed interface) and critically assessed early reports on preprint servers. We explored the relative risk of mortality from readily available demographics to identify the population at the highest risk.ResultsThe published studies specifically assessing the risk of healthcare workers had limited demographics available;therefore, we explored the general population in the literature. Clinician demographics: Mortality increased with increasing age from 50 years onwards. Male sex at birth, and people of black and minority ethnicity groups had higher susceptibility to both hospitalisation and mortality. Comorbid disease. Vascular disease, renal disease, diabetes and chronic pulmonary disease further increased risk. Risk stratification tool: A risk stratification tool was compiled using a white female aged <50 years with no comorbidities as a reference. A point allocated to risk factors was associated with an approximate doubling in risk. This tool provides numerical support for healthcare workers when determining which team members should be allocated to patient facing clinical duties compared with remote supportive roles.ConclusionsWe generated a tool that provides a framework for objective risk stratification of doctors and healthcare professionals during the COVID-19 pandemic, without requiring disclosure of information that an individual may not wish to share with their direct line manager during the risk assessment process. This tool has been made freely available through the British Medical Association website and is widely used in the National Health Service and other external organisations.
RESUMEN
INTRODUCTION: The mental health burden and treatment gap in South and Southeast Asia is high and significant. Capacity building of healthcare workers is essential to support programmes related to the detection and management of patients with mental health conditions. We aim to conduct a systematic review to summarise the research on educational, training and capacity-building interventions aimed at the healthcare workforce in detection and management of mental health conditions in South and Southeast Asia. OBJECTIVE: To synthesise evidence on (1) the types of educational and training interventions that have been used to improve the knowledge, skills and attitudes of healthcare workers in South and Southeast Asian countries in the detection and management of mental health conditions; (2) the effectiveness, including cost-effectiveness of the interventions; and (3) the enabling factors and barriers that influence the effectiveness of these interventions. METHODS AND ANALYSIS: This review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. We will search six electronic databases: MEDLINE, EMBASE, PsycINFO, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and Global Health for empirical studies published from 1 January 2000 to 31 August 2020. Search results from each database will be combined and uploaded in Covidence library. Title, abstract and full-text screening, and data extraction of each included study will be performed by two independent reviewers. Disagreements between reviewers will be resolved by a third reviewer and study team. Quality of included studies will be assessed by the modified Cochrane Collaboration tool and ROBINS-I tool. Data will be synthesised and if a meta-analysis is not appropriate, a stepwise thematic analysis will be performed. ETHICS AND DISSEMINATION: Ethics approval is not required for this study. Findings will be disseminated through peer-reviewed publications, fact sheets, multimedia press briefings, conferences, seminars and symposia. PROSPERO REGISTRATION NUMBER: CRD42020203955.