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World J Surg ; 46(9): 2045-2060, 2022 09.
Article in English | MEDLINE | ID: covidwho-1899140


BACKGROUND: The objective of this systematic review is to investigate changes in the epidemiology of major trauma presentations during the implementation of movement restriction measures to manage the first wave of the SARS-CoV-2 (COVID-19) pandemic. METHODS: A systematic search in six databases, as well as a search of grey literature was performed from January 2020 to August 2021. Estimates were pooled using random-effects meta-analysis. The certainty of evidence was rated according to the GRADE approach. The review is reported using both PRISMA guideline and the MOOSE checklist. RESULTS: In total, 35 studies involving 36,987 patients were included. The number of major trauma admissions overall decreased during social movement restrictions (-24%; p < 0.01; 95% CI [-0.31; -0.17]). A pooled analysis reported no evidence of a change in the severity of trauma admissions (OR:1.17; 95%CI [0.77, 1.79], I2 = 77%). There was no evidence for a change in mortality during the COVID-19 period (OR:0.94, 95%CI [0.80,1.11], I2 = 53%). There was a statistically significant reduction in motor vehicle trauma (OR:0.70; 95%CI [0.61, 0.81], I2 = 91%) and a statistically significant increase in admissions due to firearms and gunshot wounds (OR:1.34; 95%CI [1.11, 1.61], I2 = 73%) and suicide attempts and self-harm (OR:1.41; 95%CI [1.05, 1.89], I2 = 39%). CONCLUSIONS AND RELEVANCE: Although evidence continues to emerge, this systematic review reports some decrease in absolute major trauma volume with unchanged severity and mortality during the first wave of COVID-19 movement restriction policies. Current evidence does not support the reallocation of highly specialised trauma professionals and trauma resources. Registration PROSPERO ID CRD42020224827.

COVID-19 , Wounds, Gunshot , COVID-19/epidemiology , Hospitalization , Humans , Policy , SARS-CoV-2
PLoS One ; 16(11): e0259995, 2021.
Article in English | MEDLINE | ID: covidwho-1533419


INTRODUCTION: Digital technology has the potential to improve health outcomes and health system performance in fragmented and under-funded mental health systems. Despite this potential, the integration of digital technology tools into mental health systems has been relatively poor. This is a protocol for a synthesis of qualitative evidence that will aim to determine the barriers and facilitators to integrating digital technologies in mental health systems and classify them in contextual domains at individual, organisational and system levels. METHODS AND ANALYSIS: The methodological framework for systematic review of qualitative evidence described in Lockwood et al. will be applied to this review. A draft search strategy was developed in collaboration with an experienced senior health research librarian. A systematic search of Medline, Embase, Scopus, PsycInfo, Web of Science and Google Scholar, as well as hand searching of reference lists and reviews will identify relevant studies for inclusion. Study selection will be carried out independently by two authors, with discrepancies resolved by consensus. The quality of selected studies will be assessed using JBI Critical Appraisal Checklist for Qualitative Research. Data will be charted using JBI QUARI Data Extraction Tool for Qualitative Research. Findings will be defined and classified both deductively in a priori conceptual framework and inductively by a thematic analysis. Results will be reported based on the Enhancing transparency in reporting the synthesis of qualitative research. The level of confidence of the findings will be assessed using GRADE-CERQual. ETHICS AND DISSEMINATION: This study does not require ethics approval. The systematic review will inform policy and practices around improving the integration of digital technologies into mental health care systems.

Health Services Accessibility/trends , Mental Health Services/trends , Systematic Reviews as Topic/methods , Checklist , Consensus , Digital Technology/trends , Evaluation Studies as Topic , Government Programs , Health Services Accessibility/statistics & numerical data , Humans , Medical Assistance , Mental Health/trends , Policy , Qualitative Research