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

Data in Brief

Angelo Dante¹  Celeste Marie Alfes²  Valeria Caponnetto²  Vittorio Masotta²  Cristina Petrucci²  Carmen La Cerra²  Loreto Lancia³ 

[1] Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Vetoio Street - 67100, L'Aquila, Italy;Department of Health, Life and Environmental Sciences, University of L'Aquila, Rita Levi Montalcini Building, G. Petrini Street - 67100, L'Aquila, Italy;Frances Payne Bolton School of Nursing, Case Western Reserve University, Health Education Office 269B, Cleveland, Ohio, USA;

关键词: Academic failure;    Academic success;    Attrition;    Bachelor's degree;    Determinants;    Factors;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown