is a pedagogical technique that replicates real-world scenarios in a controlled environment, enabling nursing students to engage in the teaching-learning process actively. While simulated practice is a growing pedagogical strategy, several studies have examined its strengths and limitations. However, evidence of its effectiveness in developing clinical reasoning skills among nursing students still needs to be improved. This systematic review aims to assess the benefits of simulated practice in enhancing the clinical reasoning skills of undergraduate nursing students. Methods: A systematic review will be conducted using three databases: CINAHL, MEDLINE, and PubMed. The search strategy will include MeSH terms "simulation," "nursing students," "nursing education," and "clinical reasoning." Inclusion criteria: Studies published within the last five years (2017-2022) involving undergraduate nursing students and using simulated practice as an intervention. Two independent reviewers will conduct Data extraction and synthesis, with disagreements resolved by a third reviewer, as follows:•Identify the benefits of simulated practice in clinical reasoning among nursing students.•Analyze studies that utilize simulated practice as an intervention.•Evaluate the effectiveness of simulated practice in developing clinical reasoning skills.
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http://dx.doi.org/10.1016/j.mex.2024.103144 | DOI Listing |
Palliat Support Care
January 2025
Department of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, VA, USA.
Objectives: To incorporate a longitudinal palliative care curriculum into obstetrics and gynecology (Ob-Gyn) residency that could become standardized to ensure competencies in providing end of life (EOL) care.
Methods: This was a prospective cohort study conducted among 23 Ob-Gyn residents at a tertiary training hospital from 2021 to 2022. A curriculum intervention was provided via lecture and simulation.
Palliat Support Care
January 2025
Department of Theology and Religious Education, College of Liberal Arts, Manila, Philippines.
Teaching death, spirituality, and palliative care equips students with critical skills and perspectives for holistic patient care. This interdisciplinary approach fosters empathy, resilience, and personal growth while enhancing competence in end-of-life care. Using experiential methods like simulations and real patient interactions, educators bridge theory and practice.
View Article and Find Full Text PDFJMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFMethodsX
June 2025
Departamento de Enfermagem, Universidade de Évora, Évora 7000-811, Portugal.
is a pedagogical technique that replicates real-world scenarios in a controlled environment, enabling nursing students to engage in the teaching-learning process actively. While simulated practice is a growing pedagogical strategy, several studies have examined its strengths and limitations. However, evidence of its effectiveness in developing clinical reasoning skills among nursing students still needs to be improved.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!