AI Article Synopsis
- The study aimed to assess if multimedia tutorials could enhance LPN students' knowledge, attitudes, and self-efficacy regarding dementia care.
- A total of 38 nursing students showed significant improvements in their understanding and confidence after training.
- Participant feedback indicated the tutorials were user-friendly and effective, highlighting the potential of computer-based training in long-term care education.
Article Abstract
The purpose of this study was to examine whether training with a multimedia tutorial would have an impact on LPN students' knowledge of dementia care, attitudes toward dementia care, and self-efficacy ratings. A total of 38 nursing students participated. Pre-post comparisons of outcome measures revealed significant improvements in knowledge, attitudes, and self-efficacy ratings. Results of post-training satisfaction and usability questionnaires indicate that participants found the tutorials easy to understand and easy to use. These data support the effectiveness of the dementia tutorial and the use of computer-based training in educating our long-term care workforce.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1300/J021v26n03_05 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Potential for High-Priority Care Based on Pain Through Facial Expression Detection with Patients Experiencing Chest Pain.
Diagnostics (Basel)
December 2024
Department of Computer Science, Tunghai University, Taichung 407224, Taiwan.
Background And Objective: Cardiovascular disease (CVD), one of the chronic non-communicable diseases (NCDs), is defined as a cardiac and vascular disorder that includes coronary heart disease, heart failure, peripheral arterial disease, cerebrovascular disease (stroke), congenital heart disease, rheumatic heart disease, and elevated blood pressure (hypertension). Having CVD increases the mortality rate. Emotional stress, an indirect indicator associated with CVD, can often manifest through facial expressions.
View Article and Find Full Text PDFCall for Reforms in the NEET-UG Examination (National Eligibility cum Entrance Test - Undergraduate): Addressing Human Resources in Health for India, the World's Most Populous Country.
J Family Med Prim Care
December 2024
Founder and Chairman Emeritus, Academy of Family Physicians of India, New Delhi, India.
The National Eligibility cum Entrance Test for Undergraduate (NEET-UG) in India serves as a unified admission examination for undergraduate medical courses, aiming to standardize assessment across diverse educational backgrounds. Despite its goals, NEET-UG has faced criticism over fairness, excessive reliance on coaching, and its impact on students' holistic development. The article reviews the limitations of the current NEET-UG format and proposes reforms, emphasizing the need to align the syllabus more closely with medical requirements by reducing physics and chemistry content and prioritizing biology.
View Article and Find Full Text PDFEnriching surgical theatre competence through computer-based simulation.
Radiography (Lond)
January 2025
UniSA Allied Health & Human Performance, University of South Australia, Adelaide, SA 5001, Australia.
Introduction: Radiographers support the multidisciplinary team by facilitating medical imaging within the operating theatre environment. This project aimed to enhance student readiness for clinical competency in operative theatre imaging by implementing an authentic C-arm simulator for students to use prior to attending clinical placement.
Methods: This study followed a pre-post, quantitative study design.
Artificial intelligence-driven prediction and validation of blood-brain barrier permeability and absorption, distribution, metabolism, excretion profiles in natural product research laboratory compounds.
Biomedicine (Taipei)
December 2024
School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Introduction: Our previous research demonstrated that a large language model (LLM) based on the transformer architecture, specifically the MegaMolBART encoder with an XGBoost classifier, effectively predicts the blood-brain barrier (BBB) permeability of compounds. However, the permeability coefficients of compounds that can traverse this barrier remain unclear. Additionally, the absorption, distribution, metabolism, and excretion (ADME) characteristics of substances obtained from the Natural Product Research Laboratory (NPRL) at China Medical University Hospital (CMUH) have not yet been determined.
View Article and Find Full Text PDFIdentification, classification, and documentation of drug related problems in community pharmacy practice in Europe: a scoping review.
Int J Clin Pharm
January 2025
Department of Clinical Pharmacy, Leopold-Franzens Universität, Innsbruck, Austria.
Background: Drug-related problems (DRPs) are significant issues in healthcare contributing to adverse health outcomes and increased healthcare costs. While community pharmacists play a pivotal role in identifying, classifying, and documenting DRPs, there is a need to map approaches undertaken.
Aim: The aim of this scoping review was to examine the approaches to identifying, classifying, and documenting DRPs in community pharmacies in Europe, and their associated barriers and facilitators.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!