Training Evaluation Methods Research Articles

Newly graduated registered nurses’ experiences of the pre-service safety training program: A qualitative study

BackgroundPatient safety is a top priority for the global healthcare system and a prerequisite for high-quality nursing care. In China, newly graduated registered nurses are required to receive two years of standardized training to ensure patient safety. The pre-service safety training program aims to provide safe, high-quality, and effective nursing care. However, perceptions and experiences of newly graduated registered nurses on pre-service safety training programs have not yet been explored. ObjectivesTo investigate newly graduated registered nurses' perceptions and experiences of the pre-service safety training program in a tertiary hospital in China. DesignA phenomenological approach was used for this qualitative study. SettingsTertiary hospital in Shanghai, China. ParticipantsA total of 19 newly graduated registered nurses who participated in the pre-service safety training program. MethodsData were collected using semi-structured, face-to-face, in-depth interviews and analyzed using the Colaizzi seven-step framework. ResultsThree themes and nine sub-themes emerged: (1) satisfaction with the approaches and content of the training, (2) gaining benefits and growth, and (3) suggestions for the training. ConclusionIt is meaningful for newly graduated registered nurses to receive safety training before entering clinical practice and was praised by participants for helping them improve safety competence and change safety behaviors. Continuing safety training and optimizing the training modules and evaluation methods will maximize the effectiveness of safety training.

Retracted: Swimming Training Evaluation Method Based on Convolutional Neural Network

Retracted: Swimming Training Evaluation Method Based on Convolutional Neural Network

Retracted: Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

Retracted: Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

Education and Training in Addiction Medicine and Psychology across Europe: A EUFAS Survey

Introduction: Training in addiction medicine and addiction psychology is essential to ensure the quality of treatment for patients with substance use disorders. Some earlier research has shown varying training between countries, but no comprehensive study of addiction training across Europe has been performed. The present study by the European Federation for Addiction Societies (EUFAS) aimed to fill this gap. Methods: A Delphi process was used to develop a questionnaire on specialist training in addiction treatment in 24 European countries. The final questionnaire consisted of 14 questions on either addiction medicine or addiction psychology, covering the nature and content of the training and institutional approval, the number of academic professorial positions, and the estimated number of specialists in each country. Results: Information was not received from all countries, but six (Belgium, Denmark, Ireland, Italy, Poland, and Romania) reported no specialized addiction medicine training, while 17 countries did. Seven countries (Belgium, France, Ireland, Italy, Russia, Switzerland, and the Netherlands) reported no specialized addiction psychology training, while 14 countries did. Training content and evaluation methods varied. Approval was given either by governments, universities, or professional societies. Eighteen countries reported having professorships in addiction medicine and 12 in addiction psychology. The number of specialists in addiction medicine or psychology varied considerably across the countries. Discussion: The survey revealed a large heterogeneity in training in addiction medicine and addiction psychology across Europe. Several countries lacked formal training, and where formal training was present, there was a large variation in the length of the training. Harmonization of training, as is currently the case for other medical and psychology specializations, is warranted to ensure optimal treatment for this under-served patient group.

Delphi study to develop maternal depression training materials for cadres

This study aimed to obtain themes and constructs to develop modules and training curricula for cadres for the detection of depression in pregnant and breastfeeding mothers in Surabaya, Indonesia. The Delphi method through three stages was applied: i) searching for academic and non-academic references; ii) compiling themes and constructs based on the findings of the first phase and distributing them to expert panel; and iii) concluding a consensus according to the guidelines. The panel approved two training objectives, five training materials, six training methods, two training time, two training duration, two training evaluation method, and six trainer qualifications. The findings can be the basis for developing modules and curricula to detect maternal depression in pregnant and breastfeeding women for cadres in Indonesia.

ERM Training Evaluation Method Based on Action Mechanism

ERM Training Evaluation Method Based on Action Mechanism

Design of Sports Training Improvement and Evaluation Method under the Background of Big Data

With the development of economic life, the phenomenon of poor health of human beings has gradually appeared, and sports training has also been paid more and more attention. In terms of improving the quality of sports training for students, physical education teachers must first make students aware of the importance of sports training. We should reasonably arrange sports training time, stimulate students’ interest and cultivation in sports, improve the results of sports training with scientific and efficient methods, and comprehensively improve the training quality of sports training. Therefore, the following work has been completed in this paper: (1) after searching and sorting out the relevant literature on the improvement and evaluation of sports training methods, this paper constructs a theoretical basis related to this topic. (2) The sports training promotion strategy and evaluation method are proposed, and the basic principles and structure of the DBN model are introduced. (3) We select the optimal parameters of the DBN model through experiments. We input the experimental data collected by big data into the trained model and compare the results with the evaluation results of experts. The experimental results show that the model in this paper has a high accuracy in evaluating the effectiveness of sports training improvement strategies.

Videofluoroscopic swallow study training for radiologists-in-training: a survey of practice and training needs

BackgroundThere is a lack of formal, published videofluoroscopic swallow study (VFSS) training targeting radiologists, yet radiology senior medical officers and resident medical officers (i.e., radiologists-in-training, known in Australia as “registrars”) are expected to be involved in VFSS interpretation of anatomical anomalies and reporting. This study investigated whether VFSS training is delivered to registrars during their specialist radiology training, whether it is a perceived need and, if so, to determine the desired content for inclusion in a targeted training package.MethodsA cross-sectional, mixed methods study design was used. An internet-based survey was circulated via convenience and snowball sampling to radiologists (both senior medical officers and registrars) and speech-language pathologists across Australia in October-November 2017. Surveys also were distributed to practitioners based in New Zealand and the United Kingdom, as they practised within similar health systems, and it was anticipated they may have similar VFSS training practices. The radiology survey contained 36 questions and the speech-language pathology survey contained 44 questions. Participants were asked the following: (1) Report their current VFSS radiology registrar training environment; (2) Advise whether radiology registrars need VFSS training; (3) Recommend the content, format, training intensity, and evaluation methods for an effective radiology registrar training package. Demographic data were analysed descriptively, and open-ended responses were analysed using qualitative content analysis.Results21 radiology senior medical officers and registrars and 150 speech-language pathologists predominantly based at Australian tertiary hospital settings completed the survey. Most respondents (90.6%) identified that VFSS training is needed for radiology registrars. Only one speech-language pathologist respondent reported that they deliver VFSS training for radiology registrars. Specific content and teaching modalities for a VFSS training package, including diagnosing anatomical anomalies associated with dysphagia were recommended.ConclusionWhile most of the radiologists and speech-language pathologists surveyed did not deliver VFSS training to radiology registrars, they identified that targeted training is needed to improve radiology registrars’ effectiveness and engagement in VFSS clinics. The training package content, format and evaluation methods recommended by participants will inform the development of a VFSS training package targeting radiology registrars to be piloted at an Australian tertiary hospital.

Development of training programs and evaluation methods for question intelligence

Asking questions is key to advancing knowledge and asking the creative questions is especially important. Being able to properly frame and focus on the creative questions is an important skill but this isn’t something that is taught or evaluated within educational systems. Professor Fumihito Ikeda, Brain Science Research and Education Center, Institution for the Advancement of Higher Education, Hokkaido University, Japan, believes that nurturing children’s development of creative questioning skills at school would be beneficial for the leaders of tomorrow. He and his team are developing test questions and training programmes for schools that generate questions focused on three types of logical reasoning: inductive, deductive and abductive. Ikeda’s goal is to develop and train mainly primary and high school students in question-intelligence. A test question using the three types of reasoning was created and tried on around 200 high school students. The researchers utilised, a deep neural network (DNN), a form of machine learning, to assist in the automatic classification and evaluation of questions.Ikeda plans to create an inquiry learning programme that will improve the quality of scientific questions while asking different types of logic in order to collect more appropriate questions for DNN to learn. He will use his partnerships with the Japan Society for Science Education and the Japan Creativity Society to roll these programmes out to students at educational institutions.

A Deep Neural Network-Based Model for Quantitative Evaluation of the Effects of Swimming Training.

This paper analyzes the quantitative assessment model of the swimming training effect based on the deep neural network by constructing a deep neural network model and designing a quantitative assessment model of the swimming training effect. This paper addresses the problem of not considering the influence of the uncertainties existing in the virtual environment when evaluating swimming training and adds the power of the delays in the actual training operation environment, which is used to improve the objectivity and usability of swimming training evaluation results. To better measure the degree of influence of uncertainties, a training evaluation software module is developed to validate the usability of the simulated training evaluation method using simulated case data and compare it with the data after training evaluation using the unimproved evaluation method to verify the correctness and objectivity of the evaluation method in this paper. In the experiments, the feature extractor is a deep neural network, and the classifier is a gradient-boosting decision tree with integrated learning advantages. In the experimental comparison, we can achieve more than 60% accuracy and no more than a 1.00% decrease in recognition rate on DBPNN + GBDT, 78.5% parameter reduction, and 54.5% floating-point reduction on DPBNN. We can effectively reduce 32.1% of video memory occupation. It can be concluded from the experiments that deep neural network models are more effective and easier to obtain relatively accurate experimental results than shallow learning when facing high-dimensional sparse features. At the same time, deep neural networks can also improve the prediction results of external learning models. Therefore, the experimental results of this model are most intuitively accurate when combining deep neural networks with gradient boosting decision trees.

Integrating Oral Health into Primary Health Care: A Systematic Review of Oral Health Training in Sub-Saharan Africa.

BackgroundGlobally, oral health training has shown positive influence on knowledge, competency and practices for both oral and non-oral health-care workers towards integration of oral health into primary health care (PHC). Sub-Saharan Africa has very divergent social-cultural-political-economic settings. Since healthcare is contextual, it is necessary to review oral health training programs in this region to establish if their formulation, implementation and evaluation are context-reliant.ObjectiveTo assess if oral health trainings aimed at integrating oral health into PHC in sub-Saharan Africa were context-reliant.MethodologyThe reviewers searched five electronic databases and WHO sites. Selection of publications was done using the PRISMA framework. Oral health training programs for oral and non-oral health-care workers in sub-Saharan Africa published in English language between year 2001 and 2020 were included in the study.FindingsOnly 4 (0.8%) of the original 512 publications for oral health-care workers and 9 (1.5%) of the 613 for non-oral health-care workers publications met the inclusion criteria. Countries established and/or increased number of dental schools, 1 university adopted competency-based curriculum and 2 introduced community rotations. Dental auxiliaries varied by cadre, training duration and scope of practice. Non-oral health-care workers training programs used diverse approaches like pre-service, workshops and printed materials. Target groups for the trainings varied from nurses, traditional healers, health promotion officers to community health volunteers. Evaluations were done mainly using pre-post or quasi-experimental studies. Outcomes of interest varied from level of knowledge, services provision, early childhood caries, oral health seeking behavior and oral hygiene practices.ConclusionOral health training for integration of oral health into PHC in sub-Saharan Africa varied by targeted cadre, training methods and evaluation method and scope. It was thus context-reliant. More programs are necessary to accommodate other training approaches, evaluation methods and other health-care cadres in the region.

Samba, deep water, and poles: a framework for exercise prescription in Parkinson's disease.

Parkinson's disease is a brain disorder that leads to tremor, slowness, muscle stiffness, and other movement disorders. The benefits of exercise for reducing disability in individuals with Parkinson’s disease are numerous. However, not much is known about the designing and prescription of exercise in neurodegenerative diseases. A brief review and indications for exercise prescription and evaluation are discussed throughout. In this scoping review, we specifically aimed to describe the applicability of walking tests (6-min/10-m) for the prescription of exercise in individuals with Parkinson’s disease and to propose training (undulating periodized) designs in three exercise modalities, Brazilian dance rhythms (Samba and Forró), deep-water exercises, and Nordic walking. These training models and evaluation methods may assist coaches and therapists in organizing exercise programs adequate to people with Parkinson’s disease, and are essential steps toward a comprehensive and more detailed understanding of the training loads in motor disorders and disease states.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11332-022-00894-4.

Deep Reinforcement Learning and In-Network Caching-Based Martial Arts Physical Training

The martial arts have been regarded as the athletics project at the international competitions, and the corresponding physical training has also brought about widespread attention. However, the traditional physical training evaluation methods are usually performed in the offline way and they are very difficult to achieve the large-scale data evaluation with the high evaluation efficiency. Therefore, this paper leverages Deep Reinforcement Learning (DRL) and in-network caching to realize the high-precision and high-efficiency data evaluation under the large-scale martial arts physical training environment while guarantees the online performance evaluation. Meanwhile, Q-learning based DRL is used to make the large-scale data evaluation. In addition, a communication protocol based on in-network caching is proposed to support the online function. The comparison experiments demonstrate that the proposed conduction method for the martial arts physical training is more efficient than the benchmark.

Field Training Monitoring of Alpine Ski Athletes Using a Triaxial Accelerometers

PURPOSE This study was designed to propose a quantitative base training evaluation method through alpine ski training monitoring using a triaxial accelerometer.METHODS Twelve Korean alpine ski athletes, six each in France and New Zealand, participated in this study. Activity data during training and daily living were collected for 7 days via the Actigraph GT9X. The collected data were downloaded through ActiLife Ver 6.13.1. Energy expenditure was calculated with Freedson (2011), and the resting metabolic rate was corrected using the Harris & Benedict (1918) formula. Further, the physical activity intensity classification criteria and METs formula of Freedson (1998) were used to classify hourly activity intensity. The collected data were organized by date, time, intensity, and energy expenditure using Microsoft Excel 2016. Differences between weekdays vs. weekends and skiing vs. physical training were analyzed through a paired sample t-test using Windows SPSS 23 with a significance level of a=.05.RESULTS First, both groups showed repetitive on and off high-intensity activities during scheduled ski training and competition. Second, moderate-intensity activities accounted for an average of 6-10%, and the weekly total time and intensity of MVPA was very high. Finally, the group from France showed differences in total energy expenditure during weekdays vs. weekends (p<.05) and the energy expenditure of both ski training and physical training during weekdays vs. weekends (p<.05). The New Zealand group showed a difference in total energy consumption during weekdays vs. weekends (p<.05).CONCLUSIONS A systematic training program based on quantitative training evaluation should be developed for alpine ski athletes to maintain proper rest and exercise intensity levels.

Implementing a Community-Based Collaborative Project During the COVID-19 Pandemic: A Process Evaluation

In-Home Supportive Services (IHSS) caregivers are critical linchpins in our long-term care system, but little research exists to examine the strategies for enhancing their role working in the homes of persons living with dementia (PLWD). The aim of the IHSS+ Alzheimer’s Disease and Related Dementias Training Project (IHSS+ ADRD Training Project) is to implement a competency-based dementia training program for 600 IHSS caregivers and their consumers; and evaluate the training program’s impact on caregiving, long-term services and supports, and health systems. This project is a partnership between the University of California, San Francisco, Institute for Health & Aging; Center for Caregiver Advancement, a nonprofit organization founded by home care workers; and Alameda Alliance for Health, a non-profit managed care plan created by and for residents of Alameda County, California. The research design and funding of the project was established just prior to the COVID-19 pandemic. As the pandemic evolved, the IHSS+ ADRD Training Project underwent many revisions and pivoted to remote strategies to ensure progress could be made toward the aims. This poster describes a process evaluation of how various challenges were addressed and subsequent changes were made to the methodology. Using a community-based participatory research and program evaluation hybrid model, this project remained nimble, configuring an online dementia training program and evaluation methods that accommodated safety needs of community partners. Benefits and limitations of implementing the IHSS+ ADRD Training Project, using remote strategies, to ensure IHSS caregivers and their consumers could continue receiving education and support, are highlighted.

The Effect of COVID 19 Pandemic on ClinicalPractices and Education in Cukurova University Faculty of Dentistry

Purpose:The aim of this study was to evaluate the strategy of Cukurova University Faculty of Dentistry in clinicalmanagement and education during COVID 19 pandemic and report the effects of the coronavirus outbreak that affectedthe whole world. Methods:The number of patients, income and expenditure rates were compared between March-November 2019 andMarch-November 2020. The effect of COVID 19 pandemic on education was evaluated by comparing the preclinical andclinical course methods and assessment-evaluation methods before and during the pandemic period. Comparisons weremade considering the theoretical and the practical training, feedback and student evaluation methods. Results:The number of patients and income levels in March 2020 was approximately 50% of the income in March 2019.A dramatic decrease was observed in the number of patients and income-expense levels in April and May. Althoughnormalization has started by October 2020, clinics have been working with a performance of approximately 40%compared to 2019. Cukurova University Faculty of Dentistry does the online dental training using Microsoft Teams.Practical applications are thought using videos and photographs. Feedback is important in practical training. For thisreason, students are asked to prepare a powerpoint presentation with pictures taken in a pre-determined format andsubmit the presentation through the software. The lecturer gives feedback using the Microsoft Teams program. Onlineexams (multiple choice, structured open ended or oral) are conducted using the same software. Conclusion:Cukurova University, Faculty of Dentistry is affected by COVID 19 pandemic. However, the minimal impactof COVID 19 pandemic has been targeted. Therefore, the effective clinical arrangements and rapid adaptation to thedistance learning was needed. Pandemic gave us a new vision for dental practices which will be used in the postpandemic period and help us reconsider our previous working habits.

Swimming Training Evaluation Method Based on Convolutional Neural Network

By investigating the status quo of the swimming training market in a certain area, we can obtain information on the current development of the swimming training market in a certain area and study the laws of the development of the market so as to provide a theoretical basis for the development of the market. This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. The algorithm model uses a 3 × 3 size convolution kernel to extract features, and the pooling layer uses a nonoverlapping pooling strategy. In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. However, there are significant differences in fat-free body weight and muscle strength of various segments of the body, among which there are very significant differences in muscle strength of lower limbs in each segment of the body. There were no significant differences in minerals, body mass index, basal metabolic rate, total energy expenditure, and lower limb muscle strength in the body composition ratios of men and women in the convolutional neural network assessment group. There are significant differences in body weight, upper limb muscle strength, and trunk muscle strength. There were no significant differences in the proportions of body composition between men and women in the control group, except for fat and protein.

3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment.

As the elderly population increases, the importance of the caregiver’s role in the quality of life of the elderly has increased. To achieve effective feedback in terms of care and nursing education, it is important to design a robot that can express emotions or feel pain like an actual human through visual-based feedback. This study proposes a care training assistant robot (CaTARo) system with 3D facial pain expression that simulates an elderly person for improving the skills of workers in elderly care. First, in order to develop an accurate and efficient system for elderly care training, this study introduces a fuzzy logic–based care training evaluation method that can calculate the pain level of a robot for giving the feedback. Elderly caregivers and trainees performed the range of motion exercise using the proposed CaTARo. We obtained quantitative data from CaTARo, and the pain level was calculated by combining four key parameters using the fuzzy logic method. Second, we developed a 3D facial avatar for use in CaTARo that is capable of expressing pain based on the UNBC-McMaster Pain Shoulder Archive, and we then generated four pain groups with respect to the pain level. To mimic the conditions for care training with actual humans, we designed the system to provide pain feedback based on the opinions of experts. The pain feedback was expressed in real time by using a projector and a 3D facial mask during care training. The results of the study confirmed the feasibility of utilizing a care training robot with pain expression for elderly care training, and it is concluded that the proposed approach may be used to improve caregiving and nursing skills upon further research.

Analysis of the Effectiveness of Waqf Volunteers’ Training (Case Study: Waqf Volunteers’ Training Based on Digital Fundraising at AQL Islamic Center)

The training system is a process designed so that the training carried out can achieve the expected goals. Significant changes are certainly expected after the training process ends. However, the institution must be aware that the abilities possessed by each training participant are certainly different from one another. This research uses descriptive qualitative research with a case study approach, because to analyze the effectiveness of a process of training workers or volunteers in an institution or organization requires a detailed description so as not to cause an error in analyzing. The results of this study indicate that the training carried out by the AQL Islamic Center is less effective, the AQL Islamic Center does not apply the training evaluation method in accordance with the method of measuring the effectiveness of the training. The AQL Islamic Center only implemented an evaluation system in the form of an internal meeting called MONEV (Monitoring and Evaluation), but the MONEV internal meeting only discussed training events that had been held. the conclusion that the training organized by the AQL Islamic Center has been running smoothly and according to what has been planned but has not been effective based on the measurement of the effectiveness of the training.

Assessing Interobserver Agreement (IOA) with Procedural Integrity: Evaluation of Training Methods among Classroom Instructors

This study evaluated training methods to improve procedural integrity of classroom instructorswhen assessing interobserver agreement (IOA) with their students. Compared to baseline conditions in a multiple baseline across settings design, training that included a memo-task analysis review did not improve procedural integrity. Subsequent intervention consisting of single-session group administered behavioral skills training (BST: instruction, demonstration, role-playing, performance feedback) increased and stabilized procedural integrity of all instructors. These findings support previous training research concerned with procedural integrity of care providers and a competency-based approach towards improving IOA assessment.