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物质使用和物质使用障碍与 COVID-19 的关系:系统评价方案。

Substance use and substance use disorder, in relation to COVID-19: protocol for a scoping review.

机构信息

Human Nature Lab, Department of Sociology, Yale University, New Haven, CT, USA.

Harvey Cushing/John Hay Whitney Medical Library, Yale University, 333 Cedar Street, New Haven, CT, 06520-8014, USA.

出版信息

Syst Rev. 2021 Feb 3;10(1):48. doi: 10.1186/s13643-021-01605-9.

DOI:10.1186/s13643-021-01605-9
PMID:33536070
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7857102/
Abstract

BACKGROUND

The COVID-19 pandemic is creating severe issues for healthcare and broad social structures, exposing societal vulnerabilities. Among the populations affected by COVID-19 are people engaged in substance use, such as people who smoke; vape (e-cigarette use); use opioids, cannabis, alcohol, or psychoactive prescription drugs; or have a substance use disorder (SUD). Monitoring substance use and SUD during the pandemic is essential, as people who engage in substance use or present with SUD are at greater risk for COVID-19, and the economic and social changes resulting from the pandemic may aggravate SUD. There have been several reviews focused on COVID-19 in relation to substance use and SUD. Reviews generally did not consider on a large range of substance use variants or SUDs. We plan a scoping review that seeks to fill gaps in our current understanding of substance use and SUD, in the COVID-19 era.

METHODS

A scoping review focused on substance use and SUD, in relation to COVID-19, will be conducted. We will search (from January 2020 onwards) Cumulative Index to Nursing and Allied Health Literature, Africa-Wide Information, Web of Science Core Collection, Embase, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, PsycINFO, PubMed, Middle Eastern Central Asian Studies, CINAHL Complete, and Sociological Abstracts. Grey literature will be identified using Disaster Lit, Google Scholar, HSRProj, governmental websites, and clinical trials registries (e.g., ClinicalTrial.gov , World Health Organization, International Clinical Trials Registry Platform and International Standard Randomized Con-trolled Trial Number registry). Study selection will conform to Joanna Briggs Institute Reviewers' Manual 2015 Methodology for JBI Scoping Reviews. Only English language, original studies investigating substance use and SUD, in relation to COVID-19 in all populations and settings, will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods.

DISCUSSION

Original research is urgently needed to mitigate the risks of COVID-19 on substance use and SUD. The planned scoping review will help to address this gap.

SYSTEMATIC REVIEW REGISTRATION

Open Science Framework (osf/io/tzgm5).

摘要

背景

COVID-19 大流行给医疗保健和广泛的社会结构带来了严重问题,暴露了社会的脆弱性。受 COVID-19 影响的人群包括有物质使用问题的人,例如吸烟人群、使用电子烟人群、使用阿片类药物、大麻、酒精或精神类处方药物人群、或有物质使用障碍(SUD)人群。在大流行期间,监测物质使用和 SUD 至关重要,因为有物质使用问题或有 SUD 的人感染 COVID-19 的风险更大,而且大流行导致的经济和社会变化可能会加重 SUD。已经有几项针对 COVID-19 与物质使用和 SUD 关系的综述。这些综述通常没有考虑到大量的物质使用变化或 SUD。我们计划进行一项范围综述,旨在填补我们在 COVID-19 时代对物质使用和 SUD 的理解差距。

方法

我们将进行一项针对 COVID-19 与物质使用和 SUD 关系的范围综述。我们将从 2020 年 1 月开始搜索 Cumulative Index to Nursing and Allied Health Literature、Africa-Wide Information、Web of Science Core Collection、Embase、Global Health、WHO Global Literature on Coronavirus Disease Database、WHO Global Index Medicus、PsycINFO、PubMed、Middle Eastern Central Asian Studies、CINAHL Complete 和 Sociological Abstracts。灰色文献将通过 Disaster Lit、Google Scholar、HSRProj、政府网站和临床试验注册中心(例如 ClinicalTrials.gov、世界卫生组织、国际临床试验注册平台和国际标准随机对照试验编号注册中心)进行识别。研究选择将符合 Joanna Briggs 研究所 2015 年审查手册的方法进行 JBI 范围审查。只有英语语言、原始研究,调查所有人群和环境中 COVID-19 与物质使用和 SUD 之间的关系,才会被考虑纳入。两名审查员将独立筛选所有引文、全文文章和摘要数据。将进行发现的叙述性总结。数据分析将涉及定量(例如频率)和定性(例如内容和主题分析)方法。

讨论

急需原始研究来减轻 COVID-19 对物质使用和 SUD 的风险。计划中的范围综述将有助于解决这一差距。

系统评价注册

Open Science Framework(osf.io/tzgm5)。

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