与吸烟相比,有关vapes\'相对危害的错误信息的影响可能会导致与烟草相关的疾病负担增加。迄今为止,尚未做出系统的努力来制定减轻与电子烟相关的错误信息的干预措施。我们计划进行范围审查,以填补当前干预措施知识的空白,以减轻与电子烟相关的错误信息。
将进行范围审查,重点关注减轻与电子烟相关的错误信息的干预措施。我们将搜索(没有日期限制)MEDLINE,Scopus,EMBASE,CINAHL,PsycINFO,WebofScience核心合集,全球卫生,ERIC,和社会学文摘。灰色文献将使用灾难点燃来识别,谷歌学者,开放科学框架,政府网站,和预打印服务器(例如,EuropePMC,PsyArXiv,MedRxiv,JMIR预印本)。研究选择将符合JoannaBriggs研究所审稿人的JBI范围审查手册2020方法。只有英语,将考虑纳入原始研究。两名审稿人将独立筛选所有引文,全文文章,抽象数据。将对调查结果进行叙述性总结。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。在可能的情况下,每个样本将计算与蒸汽相关的错误信息缓解的单一效应大小。同样,在可能的情况下,每项研究都将编码调节特征,以发现和解释正在分析的效应或结果的大小的系统差异。质量将通过国家心脏使用的研究质量评估工具进行评估,肺,血液研究所。研究结果将接受几种不同的出版偏倚测试:Egger回归测试,Begg和Mazumdar进行了相关性检验,并生成具有针对相应标准误差绘制的效果大小的漏斗图。
迫切需要原始研究来设计干预措施,以减轻与电子烟相关的错误信息。计划的范围审查将有助于解决这一差距。
开放科学框架osf/io/hy3tk。
The impact of misinformation about vapes\' relative harms compared with smoking may lead to increased tobacco-related burden of disease. To date, no systematic efforts have been made to chart interventions that
mitigate vaping-related misinformation. We plan to conduct a scoping review that seeks to fill gaps in the current knowledge of interventions that
mitigate vaping-related misinformation.
A scoping review focusing on interventions that
mitigate vaping-related misinformation will be conducted. We will search (no date restrictions) MEDLINE, Scopus, EMBASE, CINAHL, PsycINFO, Web of Science Core Collection, Global Health, ERIC, and Sociological Abstracts. Gray literature will be identified using Disaster Lit, Google Scholar, Open Science Framework, governmental websites, and preprint servers (e.g., EuropePMC, PsyArXiv, MedRxiv, JMIR Preprints). Study selection will conform to Joanna Briggs Institute Reviewers\' Manual 2020 Methodology for JBI Scoping Reviews. Only English language, original studies 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. Where possible, a single effect size of exposure to the mitigation of vaping-related misinformation will be calculated per sample. Similarly, where possible, each study will be coded for moderating characteristics to find and account for systematic differences in the size of the effect or outcome that is being analyzed. Quality will be appraised with the study quality assessment tools utilized by the National Heart, Lung, and Blood Institute. Findings will be subjected to several different publication bias tests: Egger\'s regression test, Begg and Mazumdar\'s ran correlation test, and generation of a funnel plot with effect sizes plotted against a corresponding standard error.
Original research is urgently needed to design interventions to
mitigate vaping-related misinformation. The planned scoping review will help to address this gap.
Open Science Framework osf/io/hy3tk.