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Detailed data about a forty-year systematic review and meta-analysis on nursing student academic outcomes

机译:关于四十年系统审查和荟萃分析的详细数据关于护理学生学术成果

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Data were extracted from observational studies describing undergraduate nursing students’ academic outcomes that were included in a systematic review and meta-analysis conducted in 2019 and updated in 2020 . Data were extracted by two researchers independently through a previously tested electronic spreadsheet; any disagreement about data extraction was discussed with a third author. Extracted data were studies’ general information, characteristics (i.e., country, study design, involved centers, number of cohort of students involved, duration (years) and denomination of the program attended, sample (N), sociodemographic characteristics of the sample, and methods utilized for data collection), and data related to the research question(s) of the review, i.e., nursing students’ academic outcomes occurrence and associated factors. Raw data for each included study are reported, along with meta-analyses that were performed using ProMeta free software utilizing Odds Ratio (OR) and Cohen'sdas principal effect sizes. The random-effect model was used for all studies, while the level of heterogeneity was explored and quantified through the Cochran's Q-test andI2, respectively. Substantial or considerable heterogeneity (i.e.,I2≥ 50%) was explored through a subgroup analysis based on the study design, when feasible . A sensitivity analysis was also performed to detect the possible influence of single studies on meta-analyses results . Publication bias was assessed through funnel plots and the testsf for their asymmetry, i.e., Begg and Mazumdar's rank correlation and Egger's linear regression method . These data provide for an updated state of the art about nursing students’ outcomes and associated factors. Therefore, they could ease future literature summaries about the topic, other than allow a comparison of the literature with future research results.
机译:从观察研究中提取数据,所述观察研究描述于2019年进行的系统审查和Meta分析中包含的本科护理学生的学生课程,并于2020年更新。通过先前测试的电子电子表格独立地由两位研究人员提取数据;与第三作者讨论了关于数据提取的任何分歧。提取的数据是研究的一般信息,特征(即国家,学习设计,涉及的中心,涉及的学生队列数量,持续时间(年)和方案的面额参加,样品(n),样本的社会阶乘特征,和用于数据收集的方法),以及与审查的研究问题有关的数据,即护理学生的学术成果发生和相关因素。报告了每个包括的研究的原始数据以及使用Prometa自由软件使用赔率比(或)和Cohen'sdas主效应大小进行的Meta分析。随机效应模型用于所有研究,而通过Cochran的Q-Testi2探索和量化异质性水平。通过基于研究设计的亚组分析,探讨了基本或相当大的异质性(即,I2≥50%)。还进行了敏感性分析以检测单一研究对Meta分析结果的可能影响。通过漏斗绘图和Testsf评估出版物偏见,用于其不对称,即,Begg和Mazumdar的等级相关和Egger的线性回归方法。这些数据提供了关于护理学生结果和相关因素的最新状态。因此,他们可以缓解未来关于该主题的文学摘要,除了允许与未来的研究结果进行比较。

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