Training Video Research Articles

The effect of scenario-based training versus video training on nurse anesthesia students’ basic life support knowledge and skill of cardiopulmonary resuscitation: a quasi-experimental comparative study

BackgroundPerforming CPR (Cardiopulmonary Resuscitation) is an extremely intricate skill whose success depends largely on the level of knowledge and skill of Anesthesiology students. Therefore, this research was conducted to compare the effect of the scenario-based training method as opposed to video training method on nurse anesthesia students’ BLS (Basic Life Support) knowledge and skills.MethodsThis randomized quasi-experimental study involved 45 nurse anesthesia students of Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran in 2022–2023. The practical room of the university formed the research environment. The participants were randomly divided into three groups of scenario-based training, video training, and control. Data were collected by a knowledge questionnaire and a BLS skill assessment checklist before and after the intervention.ResultsThere was a significant difference between the students’ scores of BLS knowledge and skill before and after the educational intervention in both SG (scenario group) (p < 0.001) and VG (video group) (p = 0.008) (p < 0.001). However, no significant difference was observed in this regard in the CG (control group) (p = 0.37) (p = 0.16). Also, the mean scores of BLS knowledge and skills in the SG were higher than those in the VG (p < 0.001).ConclusionGiven the beneficial impact of scenario-based education on fostering active participation, critical thinking, utilization of intellectual abilities, and learner creativity, it appears that this approach holds an advantage over video training, particularly when it comes to teaching crucial subjects like Basic Life Support.

Learning to Implement Dialogic Reading Through Video-Based Online Training: A Preliminary Study.

Dialogic reading (DR) is an evidence-based method for reading with young children that is associated with improvements in children's oral language skills. There is, however, a lack of consensus on (a) how to train educators to deliver the intervention and (b) methods for assessing implementation fidelity. We designed this study to provide preliminary data about the viability of online video modules as an initial training option within a future tiered training model. We employed a within-subject repeated-measures group design to evaluate educators' (N = 20) implementation of DR after viewing training videos. Educators filmed themselves reading three storybooks with a child "as they would typically" to establish pretest reading behaviors. After being given access to a series of DR training videos, the educators recorded themselves reading three storybooks with the child using DR strategies as a posttest measure. Educators improved their use of individual strategies included in the DR instructional sequence at posttest; however, most participants did not consistently follow the entire instructional sequence as designed. Only one educator delivered the complete DR instructional sequence in > 80% of opportunities at posttest. Modifications to video training modules and additional coaching support may be warranted for many educators to achieve the level of implementation fidelity needed to improve the child's oral language skills from the intervention. https://doi.org/10.23641/asha.25749387.

Adaptive temporal compression for reduction of computational complexity in human behavior recognition

The research on video analytics especially in the area of human behavior recognition has become increasingly popular recently. It is widely applied in virtual reality, video surveillance, and video retrieval. With the advancement of deep learning algorithms and computer hardware, the conventional two-dimensional convolution technique for training video models has been replaced by three-dimensional convolution, which enables the extraction of spatio-temporal features. Specifically, the use of 3D convolution in human behavior recognition has been the subject of growing interest. However, the increased dimensionality has led to challenges such as the dramatic increase in the number of parameters, increased time complexity, and a strong dependence on GPUs for effective spatio-temporal feature extraction. The training speed can be considerably slow without the support of powerful GPU hardware. To address these issues, this study proposes an Adaptive Time Compression (ATC) module. Functioning as an independent component, ATC can be seamlessly integrated into existing architectures and achieves data compression by eliminating redundant frames within video data. The ATC module effectively reduces GPU computing load and time complexity with negligible loss of accuracy, thereby facilitating real-time human behavior recognition.

The effect of video training on symptom burden, comfort level, and quality of life in hemodialysis patients: Clustered randomized controlled trial

ObjectiveUse of video in patient education is becoming widespread due to its low cost, time management, ease of application, and permanent learning. The study aimed to investigate the effect of video training on the symptom burden, comfort level, and quality of life of patients undergoing hemodialysis treatment. MethodsIn this clustered randomized controlled trial, the patients were randomly assigned to groups by lottery method according to hemodialysis treatment days and sessions. Individuals in the intervention group(n = 26) were screened one episode of the training video in each session for three episodes per week for 12 weeks. Individuals in the control group(n = 22) received only conventional hemodialysis without video training. ResultsAt the third and fourth measurement times, in intervention group, mean scores of symptom burden decreased compared to baseline (respectively:40,12 ± 21,63; 22,31 ± 14,08;21,54 ± 16,78), mean scores of comfort level increased (respectively:102,42 ± 13,45; 111,42 ± 8,00;115,04 ± 9,73)(p < 0.05), while there was no significant difference in control group(p > 0.05). This study observed a statistically significant difference between quality of life scale scores individuals in intervention group(p < 0,05). ConclusionIt was concluded that video training delivered to patients undergoing hemodialysis treatment decreased symptom burden of patients and increased their comfort level, and quality of life. Practice implicationsVideo training can be utilized in the educational program of hemodialysis patients.

Simulation-Based Cardiopulmonary Examination Skills Checklist: Assessment of Inter-rater Reliability

Purpose: Experiential learning using high-fidelity simulation is a valuable tool for teaching Doctor of Physical Therapy (DPT) students the cardiopulmonary examination. There are currently no standardized assessment tools to evaluate student performance and provide feedback on these skills. The cardiovascular and pulmonary section of the American Physical Therapy Association recently published recommended competency levels for entry-level physical therapists including examination skills. The primary aim of this study was to create and assess inter-rater reliability of a cardiopulmonary examination skills checklist that aligns with these recommendations and can be used in the simulation environment. Methods: A skills checklist with 6 sections was developed to assess student performance on the cardiopulmonary examination within a high-fidelity simulation experience. Training videos on the cardiopulmonary examination and checklist use were created and given to 3 graders. Seventy-three DPT students performed the cardiopulmonary examination within simulation while being recorded. Three graders then assessed the same 25 randomly selected videos using the checklist. Inter-rater reliability, item % agreement and student performance were analyzed. Results: The overall interclass correlation coefficient (ICC) of the checklist was calculated to be 0.858, demonstrating strong agreement between graders. The ICC for individualized checklist sections ranged from 0.659 to 0.960, demonstrating good to near perfect agreement. The average percent correct achieved by students was 80.48 (6.91%), R = 65% to 93.33%. There were &gt;80% agreement for 55/60 items and &gt;90% agreement for 44/60 items. Conclusion: The checklist provided an effective tool to assess student performance on the cardiopulmonary examination and demonstrated consistent scoring between graders.

A Pilot Randomized Controlled Trial of Augmented Reality Just-in-Time Guidance for the Performance of Rugged Field Procedures.

Medical resuscitations in rugged prehospital settings require emergency personnel to perform high-risk procedures in low-resource conditions. Just-in-Time Guidance (JITG) utilizing augmented reality (AR) guidance may be a solution. There is little literature on the utility of AR-mediated JITG tools for facilitating the performance of emergent field care. The objective of this study was to investigate the feasibility and efficacy of a novel AR-mediated JITG tool for emergency field procedures. Emergency medical technician-basic (EMT-B) and paramedic cohorts were randomized to either video training (control) or JITG-AR guidance (intervention) groups for performing bag-valve-mask (BVM) ventilation, intraosseous (IO) line placement, and needle-decompression (Needle-d) in a medium-fidelity simulation environment. For the interventional condition, subjects used an AR technology platform to perform the tasks. The primary outcome was participant task performance; the secondary outcomes were participant-reported acceptability. Participant task score, task time, and acceptability ratings were reported descriptively and compared between the control and intervention groups using chi-square analysis for binary variables and unpaired t-testing for continuous variables. Sixty participants were enrolled (mean age 34.8 years; 72% male). In the EMT-B cohort, there was no difference in average task performance score between the control and JITG groups for the BVM and IO tasks; however, the control group had higher performance scores for the Needle-d task (mean score difference 22%; P = .01). In the paramedic cohort, there was no difference in performance scores between the control and JITG group for the BVM and Needle-d tasks, but the control group had higher task scores for the IO task (mean score difference 23%; P = .01). For all task and participant types, the control group performed tasks more quickly than in the JITG group. There was no difference in participant usability or usefulness ratings between the JITG or control conditions for any of the tasks, although paramedics reported they were less likely to use the JITG equipment again (mean difference 1.96 rating points; P = .02). This study demonstrated preliminary evidence that AR-mediated guidance for emergency medical procedures is feasible and acceptable. These observations, coupled with AR's promise for real-time interaction and on-going technological advancements, suggest the potential for this modality in training and practice that justifies future investigation.

A scoping review of the current state of video in the use of training of cardiac surgeons in LMICs protocol

Abstract Background The lack of quality cardiac surgery training programmes in low- and middle-income countries (LMICs) has been widely recognized as a significant barrier to delivering high-quality and accessible cardiac surgical care. This paper aims to discuss the potential role of leveraging video technology as an adjunct to cardiac surgery training in LMICs. Leveraging video technology allows cardiac surgeons in LMICs to potentially gain exposure quickly to a broader range of procedures, which they otherwise would not have received owing to the lack of facilities and trainers in their individual countries. Objective The primary aim of the review is to assess the current use of video-related modalities in surgeon training in LMICs. Secondary aims include identifying potential use of video-related modalities in cardiac surgeon training in LMICs and identifying barriers to use of video-related modalities in cardiac surgeon training in LMICs. Design This protocol has been designed in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. A systematic search with the following terms ‘low-and-middle-income countries’, ‘video technologies’ and ‘education and cardiac surgery’ was carried on SCOPUS, MEDLINE, EMBASE and WHO Medical Indicus databases. Studies will be screened by two independent assessors using the designed inclusion and exclusion criteria, with conflicts resolved by a third party. Conclusion This review will provide a wide review on the available literature on the use of video in cardiac surgery training in LMICs, and act as a base to kickstart future research in this area.

Using Multimodal Interaction in a Virtual Reality Thoracic Diagnostic Scenario

Background: Stethoscopes and mannequins are basic tools for medical practitioners to diagnose various problems. Restricted by space, resources, and time, these tools and common video training are sometimes inaccessible. These obstacles may be solved by immersive virtual reality (VR) that improves interaction and blurs the line between virtual and reality. Therefore, this study combines virtual and real interaction technologies to investigate the impact of multi-sensory interaction on learning outcomes in chest auscultation.Methods: This study integrated VIVE Tracker technology to provide synchronized tactile stimulation in VR. University students in medical-related disciplines participated in the study. Interviews were conducted to understand how students perceived the effectiveness and usefulness of the thoracic auscultation VR.Conclusion: Most students expressed that tactile stimulation gave realistic sensations and effectively reinforced the immersive effect. Simultaneously, it increased their interest and motivation in learning. The integration of synchronized tactile stimulation is a novel approach that expands the realm of interactivity beyond handheld controller manipulation and creates a platform to simulate medical-related scenarios to learn complex knowledgeand skills.

Evaluating the effectiveness of video training for health professionals on the use of personal protective equipment

The study aimed to evaluate the effectiveness of video training for health workers on the use of personal protective equipment. A training video was prepared on the use of personal protective equipment against Covid-19. The effectiveness of the training was evaluated by comparing the pre-post-training scores obtained from the online application, questionnaire form, and self-assessment knowledge level form developed by the researchers. Video training and collection of research data were carried out through the online joint training module used in the relevant hospitals. The study was completed with 558 health workers. The findings showed that the participants' questionnaire form, self-assessment of knowledge level form, and the online application scores increased statistically significantly after the video training (p&lt;0.001). The majority of the health workers (71.3% n=398) completed the application in a shorter time after the video training (p&lt;0.001). A significant relationship was found between online application and questionnaire scores (p&lt;0.05). The study showed that video training led to an increase in health workers' scores on the questionnaire form, online application and self-assessment forms. Video training can be used as an effective training method in pandemic periods when face-to-face training is undesirable due to the risk of transmission.

Training on Making Sunscreen Cream from Tapak Dara Leaf Extract in Banjarsari Bojonegoro Village

Background: The use of natural ingredients, especially family medicinal plants (TOGA), for treatment has not received much attention from the public. The tapak dara plant has benefits, including being antihyperglycemic, antidiabetic, and antibacterial, an agent for reducing oxidative stress, and a sunscreen effect that can protect the skin from ultraviolet rays. This service activity aims to provide a new understanding to the public about the benefits of the TOGA plant, especially periwinkle so that they can preserve and process it as sunscreen cream. Method: This training uses a technique of presenting material through training videos and explanatory slides. This training activity was conducted in Banjarsari Village using video material and PowerPoint slides. This training in making sunscreen cream involved 50 PKK cadres and was carried out for two months. Results: During the two-way discussion, participants' enthusiasm was seen in the questions asked regarding the technicalities of making the cream and the benefits of the tapak dara plant, showing the public's great interest in using herbal cosmetics from the TOGA plant. Conclusion: Training on making sunscreen cream from tapak dara leaf extract in Banjarsari Village is an effort to inform the community about the process of making cream from the TOGA plant with the result of community enthusiasm for holding similar activities.

Video Analysis of Physical Education Teaching and Design of Intelligent Assistant Teaching System: Based on Motion Recognition and Optimization Algorithm

Nowadays, science and technology has rapidly increasing due to the specific requirements of education. The main aim of this technique is to enhance the physical education activities and helps sports man to finest teaching facilities of these activities. Moreover, the body changes with sports activities based on Deep Learning (DL) frameworks and classifier technology are examined to promote the practical application. Therefore, this paper Deep Reinforcement Learning based Chimp optimization (DRLbCO) algorithm was developed to improve the teaching efficiency of physical education system through the intelligent computer aided assessment models. Also, this model improving the performance, enhancing coaching effectiveness, and gaining competitive advantages in sports. Consequently, the proposed system is based on DL based image detection model DRL, which can analyse and provides proper actions in teaching students and enhance the ability of motion analysis in sports video training quality. Moreover, the DL model is integrated with optimization algorithm to optimize the performance. This could involve reinforcement learning, and other classifiers such as Support Vector Machine (SVM). Based on this provides feedback to students and teachers during physical education classes. The developed model is significantly enhances the physical education teaching student action in virtual sports instruction. Overall intention of the video assessment system of the sports training performance in analyzed.

Between Professionalism and Amateurism in the Use of the Agricultural Training Videos: Lessons Learnt from Experimental Auctions in Benin

Agriculture training videos (ATV) facilitate the wider dissemination of agricultural technologies and encourage farmers to adapt the learnings to their conditions. However, producing quality video is expensive as well as challenging for notable number of agricultural extension organizations across many Africa countries. This paper compares farmers&amp;#39; willingness to pay (WTP) for two distinct video quality levels&amp;mdash;a cheap, amateurish video and a costly, professionally produced video. Using stratified random sampling, 91 farmers were selected for the experimental auction sessions. These farmers were chosen from a database that was compiled by the Ministry of Agriculture developed in 2021, with a total population of 382 vegetable farmers. Data were analyzed using Student&amp;#39;s t-test and Tobit model. 97% of farmers who attend the experimental auction sessions, agreed to pay for the ATV and results show a significant difference of 0.063 USD between the two videos, and in favor of professional video. Farmers&amp;rsquo; WTP for ATV is influenced by education, access to funding, images clarity, type of character in videos, understanding level of message and language spoken. Video quality is very important in the learning process in rural areas and support the promotion of professional videos. However, amateur videos can be used in agricultural training if financial support are not available for professional videos production.

The Effectiveness of the Self-Control Training Video Game Slankers: A Pilot Study

The Effectiveness of the Self-Control Training Video Game Slankers: A Pilot Study

Training Current and Future Health-related Practitioners to Accurately and Appropriately Disseminate Physical Activity Guidelines

Current and future health-related practitioners have low awareness of physical activity guidelines (PAGs) for general and clinical populations. The purpose of the present study was to critically appraise the quality of one 2021 draft training video, which was designed to help current and future health-related practitioners give advice consistent with general adult PAGs. A descriptive qualitative analysis was performed on open-ended responses provided by undergraduate research assistants (or recent alumni) affiliated with the first author’s lab and uninvolved in the video’s creation. Participation was optional, anonymous, and through an online questionnaire, open for seven days in April 2021 (14 invited, 8 participated, response rate = 57.14\%). Participant feedback was compared to applicable standards of the RE-AIM framework (i.e., reach, efficacy, and adoption). Face validity and other quality measures were determined through qualitative analysis. The first author performed the descriptive analysis, and the second author, acting as a critical friend, independently verified the trustworthiness of the analysis. No issues were identified (i.e., a succinct and veracious analysis). Participants generally agreed the draft video was clear, concise, informative, and interesting. Participants did not perceive any major concerns with the video (e.g., non-offensive/biased), and their suggestions were used to finalize the training video (e.g., to add closed captioning, further explain a graph). Results confirmed the video had good face validity and could be effective within real-world educational settings for current and future health-related practitioners (e.g., low time burden, stimulating, informative). Future research should investigate learning outcomes of the video and its real-world implementation.

Significant improvement of physicians' knowledge and clinical practice: an opportune, effective, and convenient continuing medical education program on functional dyspepsia.

This cohort study aimed to explore the effect of a one-day online continuing medical education (CME) on the improvement of physicians' knowledge and clinical practice on functional dyspepsia (FD). Physicians were invited to participate in this CME via medical education applications. FD training videos made in advance were sent to participants via a weblink. Before and after training, participants were required to finish the FD knowledge test and provide case information of FD patients. McNemar test, Wilcoxon rank-sum test, Freidman test, Chi-square test, quantile regression, and generalized estimating equations (GEE) were used to perform statistical analysis. There were 397 of 430 (92.33%) physicians finished this CME program. The total score of the FD knowledge test after training was significantly higher compared with before training [488.3 (468.3-510.0) vs. 391.7 (341.7-450.0), p < 0.001]. Particularly, physicians from primary hospitals show more increase in total scores than physicians from secondary and tertiary hospitals. According to the GEE model, receiving this online training was an independent predictor of physicians' choice of upper gastrointestinal endoscopy in patients with FD [OR 1.73, 95%CI (1.09-2.73), p = 0.020], especially in PDS. Also, it was an independent predictor of physicians' choice of acid-suppressive drugs in patients with FD [OR 1.30, 95%CI (1.03-1.63), p = 0.026], especially in EPS and PDS overlapping EPS. This one-day online CME program effectively and conveniently improved physicians' knowledge and clinical practice, providing new ideas for future CME and facilitating precise clinical management of FD patients with different subtypes especially in primary hospitals.

U.S. tweens’ reactions to unboxing videos: Effects of sponsorship disclosure and advertising training

ABSTRACT YouTube unboxing videos have become a popular genre among youth, and hosts often receive financial or other incentives for showcasing products. Although sponsored relationships must be explicitly disclosed per legal regulations, not all videos comply. This study assesses US tweens’ reactions to unboxing videos with varying cues of a sponsored relationship between the host and product manufacturer, using a 3 (sponsored; non-sponsored; sponsorship unaddressed cue) x 2 (advertising training; no advertising training) randomized experimental design. The sample consisted of 215 tweens between ages 8–13 years. Half of the participants were randomly assigned to watch an advertising literacy training video before the unboxing video. Tweens detect a higher selling intent within the sponsored video (relative to the non-sponsored video), only after viewing the advertising literacy training video. The training video enhances the positive relationship between perceived informative intent and purchase intention, while weakening the positive relationship between perceived selling intent and purchase intention. Findings suggest tweens may have a unique mental schema for unboxing-style online videos which is a hybrid of informational and advertisement. Brief training videos could be used on video streaming platforms to develop and cue tweens’ advertising literacy.

Privacy-preserving visual analysis: training video obfuscation models without sensitive labels

Visual analysis tasks, including crowd management, often require resource-intensive machine learning models, posing challenges for deployment on edge hardware. Consequently, cloud computing emerges as a prevalent solution. To address privacy concerns associated with offloading video data to remote cloud platforms, we present a novel approach using adversarial training to develop a lightweight obfuscator neural network. Our method focuses on pedestrian detection as an example of visual analysis, allowing the transformation of video frames on the camera itself to retain only essential information for pedestrian detection while preserving privacy. Importantly, the obfuscated data remains compatible with publicly available object detectors, requiring no modifications or significant loss in accuracy. Additionally, our technique overcomes the common limitation of relying on labeled sensitive attributes for privacy preservation. By demonstrating the inability of pedestrian attribute recognition models to detect attributes in obfuscated videos, we validate the efficacy of our privacy protection method. Our results suggest that this scalable approach holds promise for enabling camera usage in video analytics while upholding personal privacy.

345 Fostering academic-community research teams to conduct community-engaged research in environmental justice communities: The RISE Communities R25 program

OBJECTIVES/GOALS: Residents of environmental justice (EJ) communities experience significantly higher rates of negative health outcomes associated with poor air quality. Low-cost air sensors may supplement regulatory monitoring to better measure air pollution at local scales, but widespread application of this technology remains limited due to many challenges. METHODS/STUDY POPULATION: To address these obstacles, we designed a training program to equip community and academic research partners with the skills and knowledge to successfully apply low-cost sensors in community-engaged environmental health research. The R esearch Innovations using Sensor Technology in Environmental Justice Communities (RISE Communities) program was established through an NIEHS R25 award in 2022 and has three specific aims: 1) Foster community-academic partnerships through research education, training, and team development activities, 2) Provide technical training in the application of low-cost sensors for indoor, outdoor, and personal air monitoring in EJ communities, and 3) Establish a community of practice to address air quality in communities nationwide. RESULTS/ANTICIPATED RESULTS: We hosted our first cohort in August 2023, training five community-academic research teams in team collaboration, community-engaged research, and technical skills for collecting and analyzing data from PurpleAir sensors. Each team received 12 sensors to take to their home EJ communities to begin their projects. Community of practice development continues through interactive webinars and development of a web-based repository of training videos and discussion board posts. Evaluation data show high participant learning and satisfaction, with mean confidence scores improving on 6/8 metrics. Evaluation data also suggest several areas for improvement such as more time spent in teams for planning and additional opportunities for interaction within the cohort and with program instructors for problem-solving. DISCUSSION/SIGNIFICANCE: Effective training for team-based community-engaged research requires careful planning for team development and study implementation. Longitudinal training and support for the technical aspects of utilizing air sensors is also critical to team success. The RISE Communities program is actively recruiting for future training cohorts.

Critical Care Alarm Fatigue and Monitor Customization: Alarm Frequencies and Context Factors.

Alarm fatigue among nurses working in the intensive care unit has garnered considerable attention as a national patient safety priority. A viable solution for reducing the frequency of alarms and unnecessary noise is intensive care unit alarm monitor customization. A 24-bed cardiovascular and thoracic surgery intensive care unit in a large academic medical center identified a high rate of alarms and associated noise as a problem contributing to nurse alarm fatigue. An alarm monitor quality improvement project used both alarm frequency and nurse surveys before and after implementation to determine the effectiveness of interventions. Multimodal interventions included nurse training sessions, informational flyers, organizational policies, and an alarm monitor training video. Unexpected results inspired an extensive investigation and secondary analysis, which included examining the data-capturing capabilities of the alarm monitors and the impact of context factors. Alarm frequencies unexpectedly increased after the intervention. The software data-capturing features of the alarm monitors for determining frequency did not accurately measure nurse interactions with monitors. Measured increases in patient census, nurse staffing, and data input from medical devices from before to after the intervention substantially affected project results. Alarm frequencies proved an unreliable measure of nurse skills and practices in alarm customization. Documented changes in context factors provided strong anecdotal evidence of changed circumstances that clarified project results and underscored the critical importance of contemporaneous collection of context data. Designs and methods used in quality improvement projects must include reliable outcome measures to achieve meaningful results.

Video training program's impact on primary teachers' knowledge on anaphylaxis during 2021-22 school year.

Video training program's impact on primary teachers' knowledge on anaphylaxis during 2021-22 school year.