Training Outcomes Research Articles

Links between learning goals, learning activities, and learning outcomes in simulation-based clinical skills training: a systematic review of the veterinary literature.

In veterinary education programs it is important to have a balance between providing students with valuable hands-on experience and ensuring the ethical treatment and welfare of the animals involved. In the last years simulation-based veterinary education played an important role helping with the replacement of experimental animals in education and at the same time creating a safe learning environment offering endless options for training in a safe environment. The aim of this systematic review was to discern which type of learning outcomes are used to evaluate specific learning goals of clinical skills training and to grasp the impact of diverse simulator characteristics on the measured learning outcomes in clinical skills training. A systematic search from 1977 until November 2023 has been conducted resulting in 103 included papers. The categories, learning goals, learning activities, and learning outcomes in clinical skills training were used for data extraction of all included studies. This study investigated the interplay between learning goals, learning activities, and learning outcomes. Competence and knowledge were the most frequently described learning outcomes; static and screen-based simulators are the are most frequently used technologies. Static simulators are primarily used to train procedural steps and screen-based simulators are primarily used to train relevant knowledge and clinical reasoning. Notably, none of the reviewed studies made explicit connections between learning goals, learning activities, and learning outcomes. In simulation-based education it is important to provide a structured, constructively aligned process where students gain relevant and effective experience. The results of this study underscore the importance of aligning the learning process in simulation-based clinical skills training, and that alignment in the learning process is not always evident.

Interactive Surgical Training in Neuroendoscopy: Real-Time Anatomical Feature Localization Using Natural Language Expressions.

This study addresses challenges in surgical education, particularly in neuroendoscopy, where the demand for optimized workflow conflicts with the need for trainees' active participation in surgeries. To overcome these challenges, we propose a framework that accurately identifies anatomical structures within images guided by language descriptions, facilitating authentic and interactive learning experiences in neuroendoscopy. Utilizing the encoder-decoder architecture of a conventional transformer, our framework processes multimodal inputs (images and language descriptions) to identify and localize features in neuroendoscopic images. We curate a dataset from recorded endoscopic third ventriculostomy (ETV) procedures for training and evaluation. Utilizing evaluation metrics, including "R@n," "IoU= θ," "mIoU," and top-1 accuracy, we systematically benchmark our framework against state-of-the-art methodologies. The framework demonstrates excellent generalization, surpassing the compared methods with 93.67 % accuracy and 76.08 % mIoU on unseen data. It also exhibits better computational speed compared with other methods. Qualitative results affirms the framework's effectiveness in precise localization of referred anatomical features within neuroendoscopic images. The framework's adeptness at localizing anatomical features using language descriptions positions it as a valuable tool for integration into future interactive clinical learning systems, enhancing surgical training in neuroendoscopy. The exemplary performance reinforces the framework's potential in enhancing surgical education, leading to improved skills and outcomes for trainees in neuroendoscopy.

Gamification as a Tool to Improve Educational and Training Outcomes in Civil Engineering

Gamification as a Tool to Improve Educational and Training Outcomes in Civil Engineering

Manual wheelchair training approaches and intended training outcomes for adults who are new to wheelchair use: A scoping review.

Wheelchair training is pivotal for safety, independence, and occupational engagement in the community, yet adults coming into wheelchair use often receive insufficient or untailored training. This research aimed to understand the range and type of manual wheelchair training approaches that exist for adults commencing wheelchair use. A systematic scoping review involved searching eight electronic databases and grey literature up to September 2023. Papers relating to manual wheelchair training for adults and their caregivers were included for data extraction. Eighty-seven articles were included in this review. The International Classification of Functioning (ICF) was used to organise and analyse data related to intended training outcomes. Consumer consultation was not included in this review; however, the outcomes suggest that involving consumers in future wheelchair training research is critical to assure community participation outcomes. Data were extracted from 87 papers. Manual wheelchair training was delivered across diverse contexts encompassing varied support structures, trainer backgrounds, and technology and was commonly directed towards wheelchair users with spinal cord injury. Intended training outcomes most frequently mapped to the activity and participation component of the ICF (n= 39), followed by personal factors (n= 27), body structures and functions (n= 18), and environmental factors (n= 3), with limited focus on longer term occupational engagement outcomes. Most existing manual wheelchair training focussed on the acquisition of individual wheelchair skill and may not facilitate generalised and long-term occupational participation outcomes. Further exploration into the contexts that support occupational engagement, particularly for older adults with progressive conditions, is required to support service provision. We looked at what manual wheelchair training approaches exist for adults who need to use a manual wheelchair and what training helps people to do/achieve. We did a scoping review that looked at literature about manual wheelchair training programs for adult wheelchair users. We found 87 research papers and training programs that we included in our review. We recorded and analysed information from all the papers about the wheelchair training programs and outcomes for people who do these programs. We found that manual wheelchair training can be done in structured or ad hoc ways, can have different amounts of training, can be provided face-to-face or online, and can be given by different allied health professionals and other wheelchair users. Most training programs had short-term outcomes like learning manual wheelchair skills, being able to use the wheelchair properly, and feeling confident about using a wheelchair. Some had longer term outcomes about being able to use the manual wheelchair in everyday activities. Most people who did the training programs that we looked at in this review were manual wheelchair users with spinal cord injury. Because not many wheelchair programs have been tried with people who do not have a spinal cord injury, it is hard for occupational therapists to make recommendations about training for other people who use a manual wheelchair. Manual wheelchair training that is done in the community and made to meet the needs of individuals may help people with using their wheelchair for their everyday activities and participate in their community.

Motor imagery with cues in virtual reality, audio and screen

Training plays a significant role in motor imagery (MI), particularly in applications such as Motor Imagery-based Brain-Computer Interface (MIBCI) systems and rehabilitation systems. Previous studies have investigated the intricate relationship between cues and MI signals. However, the medium of presentation still remains an emerging area to be explored, as possible factors to enhance Motor Imagery signals..
Approach: We hypothesise that the medium used for cue presentation can significantly influence both performance and training outcomes in MI tasks. To test this hypothesis, we designed and executed an experiment implementing no- feedback MI. Our investigation focused on three distinct cue presentation mediums -audio, screen, and virtual reality(VR) headsets-all of which have potential implications for BCI use in the Activities of Daily Lives.
Main Results: The results of our study uncovered notable variations in MI signals depending on the medium of cue presentation, where the analysis is based on 3 EEG channels. To substantiate our findings, we employed a comprehensive approach, utilizing various evaluation metrics including Event- Related Synchronisation(ERS)/Desynchronisation(ERD), Feature Extraction (using Recursive Feature Elimination (RFE)), Machine Learning methodologies (using Ensemble Learning), and participant Questionnaires. All the approaches signify that Motor Imagery signals are enhanced when presented in VR, followed by audio, and lastly screen. Applying a Machine Learning approach across all subjects, the mean cross-validation accuracy (Mean ± Std. Error) was 69.24 ± 3.12, 68.69 ± 3.3 and 66.1±2.59 when for the VR, audio-based, and screen-based instructions respectively.
Significance: This multi-faceted exploration provides evidence to inform MI- based BCI design and advocates the incorporation of different mediums into the design of MIBCI systems, experimental setups, and user studies. The influence of the medium used for cue presentation may be applied to develop more effective and inclusive MI applications in the realm of human-computer interaction and rehabilitation.

Narrative Creativity Training: A Case Study from the US Army

ABSTRACT: Though integral to thinking about causality, narrative—in particular narrative thinking—has been overlooked in traditional approaches to creativity studies and creative problem solving. Emphasizing the intrinsically speculative and causal aspects of narrative, this study investigates the effectiveness of narrative creativity training as a means of fostering innovative problem-solving skills within the US Army. Through two experiments conducted at the US Army Command and General Staff College, this research compares the outcomes of narrative training against conventional associational creativity training. Our results suggest that specifically narrative capacities are cognitively distinct, can be directly trained, and substantially improve problem solving. This research contributes to scholarship on the practical and empirical applications of narrative theory, as well as scholarship in creativity studies and creative problem solving, evincing the specific utility of narrative thinking in addressing complex, open-ended challenges.

Training outcomes of a social determinants of mental health‐focused fieldwork course

AbstractWe conducted a concurrent nested mixed‐methods exploration of counselor trainee outcomes of a social determinants of mental health (SDMH)‐focused fieldwork course. Seven trainees completed a pre‐/post‐course SDMH competence scale and nine weekly journal entries. Results of a paired samples t‐test and deductive content analysis suggest increased SDMH competence and efforts to learn about and address clients’ SDMH challenges throughout the semester. Implications for counselor training conclude.

Scientific Paper Writing Training: A Boost to Scientific Publication at Institut Agama Islam Nahdlatul Ulama Bangil

Institut Agama Islam Nahdlatul Ulama Bangil is a private university in East Java, Indonesia, affiliated with Nahdlatul Ulama. Despite its commitment to quality education based on Islamic values, the university's lecturers face challenges in publishing scientific articles. Previous research underscores the importance of training, workshops, and technology tools in improving lecturers' scientific publication skills. This article proposes a Participatory Action Research approach for scientific article writing training, involving issue identification, active lecturer involvement, planning, implementation, and evaluation. This approach fosters collaboration and enhances lecturers' scientific writing abilities. Similar successful approaches in other institutions highlight the potential positive outcomes of such training. The goal is to empower lecturers, boost publication rates, and contribute to individual and institutional advancement.

Enhancing deep stochastic configuration networks: Efficient training via low-rank matrix approximation

Deep Stochastic Configuration Networks (DeepSCN) represent a class of randomized learner models distinguished by their universal approximation capabilities, rapid learning processes, and ease of implementation. These models surpass other randomized learners due to an embedded supervisory mechanism. Although the feature matrix is meticulously constructed, the predictive accuracy of DeepSCN also critically depends on the quality of the model parameters obtained from solving the corresponding system of linear equations. As the number of hidden neurons increases, the resulting expansion of the feature matrix renders matrix inversion computationally expensive, potentially unstable, and memory-intensive. This study addresses these challenges by integrating randomized algorithm-based low-rank matrix approximation to compute model parameters efficiently. A theoretical error bound for the obtained model parameters is derived, ensuring precision and accuracy. The effectiveness of the algorithm is validated on benchmark datasets for both classification and regression tasks. The results demonstrate that this integration significantly enhances the reliability and stability of DeepSCN, improving performance and scalability while greatly reducing computational demands. The method maintains stability despite substantial variations in the number of hidden neurons and mitigates overfitting caused by matrix inversion, ensuring stable and reliable training outcomes. This study advances DeepSCN training methodologies and large-scale data processing.

Enhanced Privacy-Preserving Federated Learning with Exit Tolerance and Verifiable Aggregation

With the escalating importance of data privacy, Federated Learning (FL) has drawn significant attention as a machine learning framework that facilitates collaborative model training among multiple users without the need for direct data sharing. This paper presents an enhanced Federated Learning scheme designed to bolster user privacy protection while maintaining the efficiency and performance of model training. Our approach integrates the use of random seeds and One-Time Password (OTP) technology to reinforce data encryption, and employs an advanced masking mechanism coupled with bilinear pairing for verification, thereby enhancing the security of the aggregation process. Additionally, our design accommodates user exits during the training process without compromising the overall training outcome. Through rigorous experimental analysis, we have demonstrated the effectiveness of our scheme, showcasing its acceptable computational and communication overheads. This research introduces a novel solution to privacy preservation challenges in Federated Learning, laying a solid foundation for the advancement of related technologies.

Nutritional Composition of Developed Bars and Their Impact on Work Performance of Adolescent Swimmers’ Girls

With the growing interest in sports nutrition and its impact on athletic performance, understanding the specific needs of adolescent athletes, particularly females, is crucial for optimizing their training and performance outcomes. The three variants of the Protein-rich bar (PB1, PB2, PB3) with the CB were developed by using different ingredients. The research employs a mixed-methods approach, combining nutritional analysis of developed bars with performance assessments among adolescent swimmers’ girls. Firstly, organoleptic evaluation (9-point hedonic scale) was performed on the variants of Protein-rich bar with the CB. Then nutritional analysis involves proximate (moisture, ash, protein, crude fat, crude fiber, CHO), mineral (calcium, iron), as well as antioxidant analysis (DPPH, TPC, vitamin C) assessed on selected variants of Protein-rich bar with the CB. Pre- and post-intervention were done on two groups for 3 months and performance assessments included anthropometric measurement, sit and reach test, hand grip strength test, Nelson hand reaction time test, and Tuttle pulse ratio test. Preliminary findings suggested that the developed bars (PB1) provide a more balanced nutritional profile than the CB. Moisture 10.2±0.66%, ash 3.7±0.27%, protein 22.3±0.74 g, crude fat 13.1±0.41 g, crude fiber 11.5±0.02 g, CHO 39.4±0.19 g, iron 4.4±0.15 mg, calcium 82.4±0.21 mg, DPPH 47.6±0.31%, TPC 53.1±0.11 mg GAE, and vitamin C 11.2±0.19 mg in 100 g respectively in PB1 and significantly difference at (p<0.05). Additionally, the consumption of PB1 bar appears to positively impact higher work performance among adolescent swimmers girls. Overall, this study contributes to the growing body of research on sports nutrition tailored to adolescent athletes, particularly focusing on the nutritional needs of swimmers girls.

Insights into enhanced learning through virtual reality

IntroductionThis study investigates the impact of Immersive Virtual Reality (VR) on learning outcomes in radiography training using Virtual Medical Coaching's X-Ray Pro VR software. VR offers immersive experiential learning that may enhance academic performance and professional preparedness. MethodsThe study involved 130 students from two consecutive cohorts: one using traditional training methods and the other using VR software. We employed a mixed-methods approach, integrating quantitative measures of academic performance and clinical competency with qualitative insights into student engagement, enjoyment, and stress levels. The VR group used Virtual Medical Coaching simulation software, while the traditional group used physical simulation machines (Siemens Healthineers) to practice positioning anthropomorphic manikins, adjusting exposure settings, and handling X-ray equipment. Data were collected at four points: immediately post-training and at 1 month, 3 months, and 8 months follow-up. ResultsThe VR cohort showed significantly higher knowledge retention, work readiness, and lower stress levels compared to the traditional cohort. Among the participants trained in VR, a vast majority (59 out of 65) reported a high level of satisfaction with the immersive nature of the training, emphasizing its realism and direct applicability to clinical scenarios. Quantitative analysis revealed superior performance metrics for the VR group across all measured time points (p < 0.001). Qualitative feedback highlighted enhanced engagement and enjoyment among VR-trained students. ConclusionThe results of this study clearly indicate that VR training significantly enhances learning outcomes in radiography education. The VR cohort exhibited higher knowledge retention, work readiness, student engagement, and enjoyment, along with lower stress levels and higher confidence compared to the traditional cohort. These findings support the integration of VR into professional training curricula to improve student performance and engagement.

Innovative Chair and System Designs to Enhance Resistance Training Outcomes for the Elderly.

This study aims to provide a safe, effective, and sustainable resistance training environment for the elderly by modifying chairs and movement systems used during training, particularly under unsupervised conditions. The research focused on investigating the effect of modified chair designs on enhancing physical stability during resistance training by involving 19 elderly participants (mean 72.1, SD 4.7). The study measured changes in the body's acceleration during movements to compare the effectiveness of the modified chairs with those commonly used in chair-based exercise (CBE) training in maintaining physical stability. A system was developed based on experimental video data, which leverages MediaPipe to analyze the videos and compute joint angles, identifying whether the actions are executed correctly. Comparisons revealed that modified chairs offered better stability during sitting (p < 0.001) and stand-up (p < 0.001) resistance training. According to the questionnaire survey results, compared to the regular chair without an armrest, the modified chair provided a greater sense of security and a better user experience for the elderly. Video observations indicated that the correct completion rate for most exercises, except stand-up resistance training, was only 59.75%, highlighting the insufficiency of modified chairs alone in ensuring accurate movement execution. Consequently, the introduction of an automatic system to verify proper exercise performance is essential. The model developed in this study for recognizing the correctness of movements achieved an accuracy rate of 97.68%. This study proposes a new chair design that enhances physical stability during resistance training and opens new avenues for utilizing advanced technology to assist the elderly in their training.

Comparative Analysis of Plyometric Training Protocols in Volleyball: A Meta-Analysis

Purpose: This meta-analysis synthesizes findings from 40 research studies to comprehensively examine the impact of plyometric training protocols on overall performance outcomes in volleyball athletes. Method: A systematic search identified relevant studies on plyometrics and volleyball performance. Data on training programs, performance measures, and outcomes were extracted. Statistical analysis assessed the overall effect size and addressed potential variation between studies. Findings: The constant-effects version revealed a giant wonderful common impact (Fisher r-to-z converted correlation coefficient = 0.7531, 95% CI: 0.6952 to 0.8110), affirming the fine relationship between plyometrics and volleyball overall performance. However, the random-effects model indicated giant heterogeneity among authentic effects (I² = 78.53%), prompting a radical exploration of ability sources of variability. Despite diagnosed limitations, inclusive of heterogeneity and ability publication bias, this meta-analysis underscores the want for standardized protocols and in addition studies to refine training strategies. Conclusion: The importance of this analysis lies in its contribution to proof-primarily based practices, providing valuable insights to coaches and practitioners in search of to optimize plyometric training for volleyball athletes. As a complete reference, it courses destiny research endeavors and advances know-how within the nuanced courting between plyometrics and volleyball.

Innovating Built Environment Education to Achieve SDG 4: Key Drivers for Integrating Augmented Reality Technologies

Augmented Reality Technologies (ARTs) are increasingly pivotal in transforming various industries, with notable implications for the built environment sector. This article delves into the drivers of ART adoption for education and training within the built environment, focusing on its role in enhancing educational delivery and operational efficiency. Utilising a structured survey distributed among professionals in South Africa’s built environment, this study employs descriptive and inferential statistics to analyse the data, identifying key trends and correlations. Our results demonstrated that ART significantly enhances task accuracy, fosters better collaboration and mitigates misinformation, thereby improving training and education outcomes. Professionals particularly highlight ART’s capacity to bridge the gap between theoretical knowledge and practical site experience, underscoring its value in preparatory education and on-site training. Furthermore, the analysis revealed that the integration of ART into educational curricula and professional practices not only augments learning experiences but also propels safety and quality in construction projects. Given these findings, this study strongly recommends that stakeholders in the construction and educational sectors in South Africa prioritise the adoption of ART to fully leverage its benefits for innovation and competitive advantage in the built environment.

Abstract B119: Evaluation of a navigator training program to increase clinical trials and genomic research participation among adult African Americans and Hispanics residing in the Southern United States

Abstract Introduction: Patient Navigators (PNs) have have proven to be effective along the cancer care continuum. However, emerging data suggest that the scope of patient navigation should be expanded to include other contexts such as the recruitment of racial/ethnic minorities for cancer clinical trials. Because the processes of recruitment and retention are often linked, the same barriers hindering minority recruitment often hinder minority retention. The potential benefits of studying generalizability and statistical power for subgroup analyses may be lost with disproportionately high attrition among the enrolled minorities. The dual focus of the training curriculum on both recruitment and retention distinguishes it from the few previous efforts focused on the traditional PN model for minority recruitment in clinical trials and genomic research studies. Methods: A two-phased navigator training program was implemented. Components of the training program was adapted in collaboration, with the Joint Cancer Advisory Council and Bioethics Co-Leaders, from the existing UAB IMPACT Patient Navigation Training Curriculum. A systematic literature review will be conducted to identify the most salient genomic educational and resource needs and concerns of AAs and Hispanic populations regarding participation in genomic-focused research and clinical trials. These findings informed the adaptation of the training curriculum based on principles of adult education. Results: We conducted a joint training for the Clinical Trials and Genomic Navigators at each Partnership institution (MSM, TU, UAB) for the proposed project. The Co-Leaders from the Partnership Outreach Cores, the Bioethics Shared Resource, and the Joint Cancer Advisory Council planned and assigned responsibilities and dates for completion of the training activities. The initial training was the GW Navigator On-line Training Program. A supplemental training was held at one of the partnering sites, a safety-net hospital (Grady Cancer Center for Excellence). The in-person training featured an overview presentation on Genetic Risk Assessment in Oncology by a licensed genetic counselor, followed by a case study approach to enrollment and the implementation of a research study with training materials such as tablets provided by the training conductors. An evaluation was completed by the team for training conductors. The third training was held at Tuskegee University and ttopics included the importance of consent training. For this presentation, we will present the qualitative and quantitative findings. Conclusions: The training outcomes were standardized and included input from the Bioethics Co-Leaders and JCAR members. We measured changes over time (pre vs. posttest) in: 1) knowledge and skills of clinical trials and genomic research; 2) ability to identify barriers and solutions to participation in research, 3) ability to implement the two toolkits, and 4) level of ease in identifying open protocol research studies and clinical trials. Citation Format: Osato Eke, Makeeta Rayton, Teresa Hall, Lleana Barrios-Zermeno, Jennier Culbertson, Angela Morris, Vivian Carter, Yu-Mei Schoenberger, Victoria Churchill, Desiree Rivers, Stephen Sodeke, Mohamed Mubasher, Roland Matthews, Brian Rivers. Evaluation of a navigator training program to increase clinical trials and genomic research participation among adult African Americans and Hispanics residing in the Southern United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B119.

Workplace Risk Associated Activities: Case Study of Medical Laboratory Science Council of Nigeria (MLSCN)

In the study of the Workplace Risk Associated Activities, Medical Laboratory Science Council of Nigeria (MLSCN) Case Study, a descriptive survey research design was adopted. The research method used for the primary data collection was structured closed and opened–ended questionnaire created with Epi-Info version7 based on the research aim and objectives of the study. The collected data was analysed using Epi-Info version7. Results indicated that: high number of person-to-person contacts (83.3%), high number of respondents/staff encounter with sharp materials during work (55.7%), presence of snakes (3.8%) and rodents (39.2%) In or around offices, presence of mosquitoes bite (43.0%), low number of immunized respondents/staff (24.4%), low number of trained respondents/staff on workplace risks (33.3%), working space (67.1%), job schedule orientation (66.7%), respondents/staff that cover their mouth when coughing or sneezing (66.6%) and respondents/staff that wash hands before eating in the office (89.6%). These trends amount to high risks with high likelihood and consequences calling for urgent attention. Though the organization scored high (98.7%) in assess control by making sure that all offices had lock and keys and were locked when leaving office, in switching off electrical appliances when leaving office (94.8%), washing hands before eating in office (89.6%) and in work environment cleanliness and conduciveness (88.5%) yet more hard work is needed to enable attainment of 100% in all workplace safety areas. The logistic regression analysis of training (outcome variable) and covariates: washing hands before eating in the office, covering mouth when coughing or sneezing and switching off light when leaving office indicated significant results (p&amp;lt;0.5) with likelihood of about 90.0% There are high workplace risks associated activities in MLSCN calling for urgent attention.

Research on improved underwater cable image processing technique based on CNN-GAN

In this study, we propose a CNN-GAN-based real-time processing technique for filtering images of underwater cables used in power systems. This addresses the excessive interference impurities that are frequently observed in images captured by remotely operated vehicles (ROVs). The process begins with the input of the original image into the convolutional neural network (CNN). Subsequently, the training outcomes, which serve as input parameters for the generative adversarial network (GAN), facilitate the filtering process. The system also calculates both the structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR), performing model updates via backward propagation. This technique utilizes deep learning technologies to achieve rapid, real-time filtering of underwater cable images. The experimental results reveal that the loss function of the CNN reaches 0.16 with an accuracy of 97.5%, while the loss function of the adversarial GAN network approaches 0.05. Compared with traditional methods such as DDN, JORDOR, RESCAN, and PRENet, the proposed CNN-GAN algorithm exhibits superior performance, as evidenced by the higher PSNR and SSIM values. Specifically, for clear water images, the PSNR reaches 29.86 dB and the SSIM is 0.9045. For severely polluted images, the PSNR is 28.67 dB and the SSIM is 0.8965, while for unevenly illuminated images, the PSNR and SSIM values are 24.37 dB and 0.88, respectively. These enhancements significantly benefit the monitoring and maintenance of power systems.

Impact of Triage Nurse Training on Accuracy and Efficiency: A Systematic Review-Based Study

Background Triage in the emergency department (ED) is a crucial procedure that establishes the urgency of patient care based on symptoms at presentation. Although the efficacy of triage nurse training programs varies, their goal is to increase the precision and efficiency of their decision-making. Aim With a focus on research done between 2019 and 2024, the systematic review attempts to evaluate the effect of training programs on the accuracy and efficiency of triage nurses in emergency departments. Method We conducted a thorough search of the PubMed, EMBASE, and Web of Science databases to find pertinent research. Studies assessing training treatments for triage nurses and reporting accuracy and efficiency-related results were included in the inclusion criteria. Both the quality assessment and data extraction were carried out separately by two reviewers. Result Ten studies that used a range of triage training techniques and covered a variety of geographic areas satisfied the inclusion criteria. Research findings consistently showed that, despite variations in study designs and outcome measures, training programs increased triage accuracy and efficiency. Interventions included clinical decision support system integration, training based on simulation, and conventional classroom-based instruction. Conclusion By increasing decision-making efficiency and accuracy in patient evaluation, training programs greatly improve the performance of triage nurses in emergency departments. To improve comparability and support evidence-based policies, future research must standardize training methodologies and outcome measurements.

Using virtual simulation to teach substance use screening and brief intervention skills across the health professions: Examining training outcomes among an interprofessional graduate student sample.

Using virtual simulation to teach substance use screening and brief intervention skills across the health professions: Examining training outcomes among an interprofessional graduate student sample.