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

• Main Authors: Valeria Caponnetto, Angelo Dante, Vittorio Masotta, Carmen La Cerra, Cristina Petrucci, Celeste Marie Alfes, Loreto Lancia
• Format: Article
• Language: English
• Published: Elsevier 2021-10-01
• Series: Data in Brief
• Subjects: Academic failure; Academic success; Attrition; Bachelor's degree; Determinants; Factors
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340921005825

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 [1]. 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's d as 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 and I2, respectively. Substantial or considerable heterogeneity (i.e., I2 ≥ 50%) was explored through a subgroup analysis based on the study design, when feasible [2]. A sensitivity analysis was also performed to detect the possible influence of single studies on meta-analyses results [2]. 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 [2]. 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.