Purpose: A systematic review and meta-analysis was conducted to evaluate the effects of smartphone-based mobile learning for nurses and nursing students.
Methods: Electronic literature search of PubMed, Cochrane Library, Embase, SCOPUS, Web of Science, ProQuest Central, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Educational Resource Information Center (ERIC) was conducted. Two authors independently reviewed empirical studies for inclusion and extracted the design, sample size, intervention method, outcome variables, and statistical values of them. Methodological quality was assessed using Cochrane collaboration risk of bias tool. To estimate the effect size, meta-analysis was performed using R meta program.
Results: Authors identified 11 randomized or nonrandomized controlled trials of a total of 3,419 studies. Overall effect sizes by random-effects model was large [Hedges'g (g) = 1.12, 95% confidence interval (CI) 0.72-1.52], with learning attitude (g = 1.69), skills (g = 1.41), knowledge (g = 1.47), and confidence in performance (g = 1.54). For heterogeneity, subgroup analyses using meta-analysis of variance were performed, but no significant difference was found. Finally, a funnel plot and Egger's regression test along with trim-and-fill analysis and fail-safe N were conducted to check for publication bias, but no significant bias was detected.
Conclusion: Smartphone-based mobile learning had significantly positive influence on nursing students' knowledge, skills, confidence in performance, and learning attitude. Smartphone-based mobile learning may be an alternative or supportive method for better education in nursing fields.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.anr.2019.01.005 | DOI Listing |
Food Chem
January 2025
State Key Laboratory of Pulp and Paper Engineering, School of Light Industry and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Guangzhou 510006, China. Electronic address:
Lateral flow assays (LFAs) have found extensive applications in food safety and quality monitoring. Now, smartphone technology is redefining how tests are conducted at the point of use. At the same time, quick response (QR) codes enhance digital connectivity for information transmission, data collection, and response linkage.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA.
White blood cells (WBCs), also known as leukocytes, are one of the most significant parts of the immune system. They generate antibodies, protect the body from illnesses, and heal wounds. Accurate estimation of WBCs is key for diagnosing cancer, infections, leukemia, lymphoma, and other diseases.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
Department of Psychiatry, Dalhousie University, Halifax, NS, Canada; Department of Epidemiology and Community Health, Dalhousie University, Halifax, NS, Canada; Department of Computer Science, Dalhousie University, Halifax, NS, Canada. Electronic address:
Background: Screen time is on the rise among youth, and as a result, cyberbullying victimization has become increasingly prevalent. While prior research has established a positive correlation between screen usage and cyberbullying victimization, a paucity of research has explored how motives for screen usage are associated with cyberbullying victimization and moderate the positive association between screen usage and cyberbullying victimization.
Objective: The present study sought to address these research gaps by exploring the association between motives for screen usage and cyberbullying victimization and examining whether these motives moderate the association between screen time and cyberbullying.
JMIR Form Res
January 2025
Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Background: Mental health treatment is hindered by the limited number of mental health care providers and the infrequency of care. Digital mental health technology can help supplement treatment by remotely monitoring patient symptoms and predicting mental health crises in between clinical visits. However, the feasibility of digital mental health technologies has not yet been sufficiently explored.
View Article and Find Full Text PDFTalanta
January 2025
Department of Transfusion Medicine, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China; Shenzhen Bao'an District Central Blood Station, Shenzhen, 518101, China. Electronic address:
Respiratory syncytial virus (RSV) is a major cause of acute respiratory tract infections in infants and elderly individuals, leading to hospitalisation and potentially fatal outcomes, posing a serious threat to global health and economy. This study proposes a smartphone-based mobile digital pressure sensor (smartphone-MDPS) for the quantitative detection of the RSV fusion protein (RSV-F) in clinical nasopharyngeal samples. The smartphone-MDPS utilized two monoclonal antibodies (mAbs) specific to the F protein, of which mAb1 was conjugated with Au@PtNPs (Au@PtNPs-mAb1) as the detection antibody and mAb2 was coupled with magnetic beads (MB-mAb2) as a coating antibody to establish a novel sandwich immunoassay.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!