Quality and impact of pharmacology digital simulation education on pre-registration healthcare students: A systematic literature review.

Bibliographic Details
Title: Quality and impact of pharmacology digital simulation education on pre-registration healthcare students: A systematic literature review.
Authors: Rayamajhi S; Edinburgh Napier University. Electronic address: s.rayamajhi@napier.ac.uk., Machin A; Northumbria University Newcastle., Breen C; Edinburgh Napier University., Gebreheat G; Edinburgh Napier University., Paterson R; Edinburgh Napier University.
Source: Nurse education today [Nurse Educ Today] 2024 Sep; Vol. 140, pp. 106295. Date of Electronic Publication: 2024 Jun 25.
Publication Type: Systematic Review; Journal Article
Language: English
Journal Info: Publisher: Churchill Livingstone Country of Publication: Scotland NLM ID: 8511379 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2793 (Electronic) Linking ISSN: 02606917 NLM ISO Abbreviation: Nurse Educ Today Subsets: MEDLINE
Imprint Name(s): Original Publication: [Edinburgh, Scotland] : Churchill Livingstone
MeSH Terms: Simulation Training*/methods , Pharmacology*/education, Students, Nursing/psychology ; Students, Health Occupations/psychology ; Clinical Competence/standards ; Humans
Abstract: Objective: This review aimed to assess the quality and nature of the literature related to digital simulation-based pharmacology education. Specifically, we sought to understand the influence of simulations on the knowledge, satisfaction, and confidence of pre-registration nurses and other healthcare students participating in such educational programs.
Design: Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. This study was registered in the Prospective Register of Systematic Reviews (PROSPERO, reg no: CRD42023437570).
Data Sources: PubMed, MEDLINE, APA PsycInfo, ProQuest, Web of Science, ScienceDirect, and CINHAL databases were searched.
Review Methods: The review focused on the quantitative findings from the studies published from 2016 to 2023. Only the studies that assessed the impact of digital simulation-based pharmacology education on pre-registration healthcare students' knowledge, satisfaction, and confidence were selected for review. Data were synthesized using a narrative approach. The Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of the included articles. This was followed by a narrative synthesis to consolidate the themes.
Result: Out of 1587 articles,16 met the inclusion criteria. A wide variety of digital technologies have been utilised, such as virtual simulation, computer simulation (2D/3D), mixed reality, and augmented reality, with the majority using virtual simulation. All studies implemented single-user simulations. The themes emerging from the narrative synthesis suggest that a digital simulation-based pharmacology course is an effective tool for enhancing students' knowledge, confidence, and satisfaction in learning pharmacological concepts. Furthermore, simulation-based teaching with a blended approach was found to be beneficial. However, the integration of the polypharmacy concept and the intra and interprofessional approach to teaching and learning was not evident in these studies.
Conclusion: This systematic literature review provides evidence of the potential of digital simulation-based education in pharmacology teaching among healthcare pre-registration students. In future studies, the integration of polypharmacy content with an intra and interprofessional teaching-learning approach is recommended.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Competing Interests: Declaration of competing interest The authors report no conflicts of interest in this work.
Contributed Indexing: Keywords: Medicine administration; Pharmacology; Prescribing; Simulation; Students
Entry Date(s): Date Created: 20240703 Date Completed: 20240713 Latest Revision: 20250711
Update Code: 20260130
DOI: 10.1016/j.nedt.2024.106295
PMID: 38959780
Database: MEDLINE
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