Level Of Experience Research Articles

Psychiatric Mental Health Nurses' Perceptions and Experiences of Inpatient Mental Health Care Safety Culture in Saudi Arabia.

Although patient safety culture is gaining attention globally, more studies are needed to investigate its relevance to the nursing care of mental health (MH) patients. This study aimed to illustrate the perceptions and experiences of nurses who work in inpatient mental health care (IMHC) concerning the patient safety practices that are employed to avert safety hazards encountered during the provision of care in IMHC settings. Eighteen postgraduate students working as MH nurses in nonprofit hospitals comprised the study sample. The participants had a minimum of 2 years' nursing experience in IMHC settings. Each participant was interviewed individually using a guided interview technique. The inductive data underwent thematic analysis. Patient protection and a safety perspective were the overarching themes that emerged from the data. Three principal themes and 9 subthemes were illuminated: (a) patient care safety knowledge and background, (b) improving MH care, and (c) development of MH nursing care. The findings of this investigation may assist in providing guidance for the further research into and development of a patient safety culture appropriate for IMHC nursing practice, including increased structured educational experiences, judicious risk assessment, assignment of staff to include a mixture of skills and experience levels during assignments, use of standardized handoff procedures, engagement with multidisciplinary care providers, blame-free reflective information sharing and mentoring, and attention to the built environment with consideration of patient and staff safety needs.

Ward-based in situ simulation: lessons learnt from a UK District General Hospital

IntroductionIn situ simulation (ISS) enables multiprofessional healthcare teams to train for real emergencies in their own working environment and identify latent patient safety threats. This study aimed to determine ISS...

창의적 자기효능감과 정서조절 및 창의적 성취간의 관계

Objectives The purpose of this study was to examine the indirect effects of creative self-efficacy on creative ach-ievement through emotion regulation strategies in dance majors, and to examine whether the effectiveness of emotion regulation strategies in mediating the relationship between creative self-efficacy and creative achieve-ment varies by dance experience level. Methods A total of 434 dance majors (46 males, 388 females, mean dance experience level: 7.35±3.79 years) re-sponded to questionnaires measuring creative self-efficacy, emotion regulation strategies, and creative achieve-ment, and the data were processed through mediation analysis and controlled mediation analysis using PROCESS version 4.0 for SPSS (Hayes, 2018). Results Creative self-efficacy positively influenced creative achievement directly as well as through emotion reg-ulation strategies. Furthermore, the effect of emotion regulation strategies on mediating the positive relationship between creative self-efficacy and creative achievement was stronger when the level of creative self-efficacy was high but the level of dance experience was low. We also found that the emotion regulation strategies that me-diate the positive relationship between creative self-efficacy and creative achievement are stronger when crea-tive self-efficacy is high but dance experience is low, and that the effect of creative self-efficacy on creative ach-ievement is stronger when college students with low creative self-efficacy have high dance experience. Conclusions The results suggest that it is important for college students majoring in dance to develop the ability to effectively manage their emotional experiences in order to be confident in their ability to effectively generate and perform creative ideas in order to solve problems and achieve goals during creative activities.

The opportunity to lead facilitates PA professional well-being.

Physician associates/assistants (PAs) with mature careers represent an important leadership resource for healthcare employers. This study sought to determine whether PA leadership task responsibility interacted with experience level to predict professional well-being. This quantitative study used an archival dataset from a national sample of PAs. The Professional Fulfillment Index was used to measure well-being and career length was used to represent experience level. PA leadership task responsibility was calculated as an aggregate score. Bivariate linear regression with mediation analysis was conducted to determine the relationship between variables. An increase in PA experience level predicted higher professional fulfillment and lower burnout, and aggregate leadership task score partially mediated this relationship. Granting leadership task responsibility compatible with experience level may enhance PA professional fulfillment, mitigate burnout, and increase PA usefulness for healthcare employers.

Social Vulnerability and Firearm Violence: An Examination of the Correlates of Fatal and Nonfatal Shootings

The current study uses the CDC’s social vulnerability index (SVI), an underutilized measure in criminology, to examine patterns of fatal and nonfatal firearm violence. The SVI is an index that captures the level of social vulnerability within communities that can reflect a community’s ability to withstand many stressors, including firearm violence. Results indicate that vulnerable communities, as measured by the SVI, experience disproportionate firearm violence. Results also show that neighborhood firearm violence is influenced by nearby neighborhoods’ levels of social vulnerability. That is, neighborhoods that are surrounded by other neighborhoods with high levels of social vulnerability experience more firearm violence. These results are important for policymakers who seek to address the root causes of vulnerabilities that impact firearm violence indirectly, and the results provide a foundation for future application of the SVI within criminology.

Positive and negative social media experiences and proximal risk for suicidal ideation in adolescents.

Social media (SM) has received considerable attention as a potential risk factor for adolescent suicide. Few empirical studies, however, have examined adolescents' daily negative and positive experiences on SM and its proximal impacts on suicidal ideation (SI), particularly using intensive monitoring designs. Adolescents (N = 60; 14-17 years; 49% girls; 62% LGBTQ+) recruited using SM across the United States and participated in an 8-week intensive monitoring protocol. Ecological momentary assessment (three brief surveys per day) asked about negative and positive SM experiences and SI (passive and active). Multilevel modelling was used to evaluate the within-person relationships between daily SM experiences (e.g. individual fluctuations compared to a person's average) and SI, controlling for average levels of SM experiences, SM use screen time, and lifetime SI. Significant within-person effects of negative and positive SM experiences were associated with days when adolescents had SI. Specifically, on days when teens endorsed more frequent negative SM experiences than usual, they were more likely to report SI. However, more positive SM experiences than usual were associated with a lower likelihood of having SI. There were no significant effects of SM use ('screen time') on SI or on the reverse associations of SI on next-day SM experiences. Results indicate that SM experiences may be dynamic and modifiable risk and protective factors for SI in adolescents, whereas there is no effect of SM screen time on SI. Our results highlight that targeting negative SM experiences and augmenting the positive experiences on SM may be critical targets to improve teens' mental health and prevent suicide, rather than focusing on limiting SM screen time.

Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives

BackgroundThe integration of artificial intelligence (AI) in radiography presents transformative opportunities for diagnostic imaging and introduces complex ethical considerations. The aim of this cross-sectional study was to explore radiographers’ perspectives on the ethical implications of AI in their field and identify key concerns and potential strategies for addressing them.MethodsA structured questionnaire was distributed to a diverse group of radiographers in Saudi Arabia. The questionnaire included items on ethical concerns related to AI, the perceived impact on clinical practice, and suggestions for ethical AI integration in radiography. The data were analyzed using quantitative and qualitative methods to capture a broad range of perspectives.ResultsThree hundred eighty-eight radiographers responded and had varying levels of experience and specializations. Most (44.8%) participants were unfamiliar with the integration of AI into radiography. Approximately 32.9% of radiographers expressed uncertainty regarding the importance of transparency and explanatory capabilities in the AI systems used in radiology. Many (36.9%) participants indicated that they believed that AI systems used in radiology should be transparent and provide justifications for their decision-making procedures. A significant preponderance (44%) of respondents agreed that implementing AI in radiology may increase ethical dilemmas. However, 27.8%expressed uncertainty in recognizing and understanding the potential ethical issues that could arise from integrating AI in radiology. Of the respondents, 41.5% stated that the use of AI in radiology required establishing specific ethical guidelines. However, a significant percentage (28.9%) expressed the opposite opinion, arguing that utilizing AI in radiology does not require adherence to ethical standards. In contrast to the 46.6% of respondents voicing concerns about patient privacy over AI implementation, 41.5% of respondents did not have any such apprehensions.ConclusionsThis study revealed a complex ethical landscape in the integration of AI in radiography, characterized by enthusiasm and apprehension among professionals. It underscores the necessity for ethical frameworks, education, and policy development to guide the implementation of AI in radiography. These findings contribute to the ongoing discourse on AI in medical imaging and provide insights that can inform policymakers, educators, and practitioners in navigating the ethical challenges of AI adoption in healthcare.

Nutrition Messaging by Healthcare Students: A Mixed-Methods Study Exploring Social Media Usage and Digital Competence

Aim: The COVID-19 pandemic leads to a significant digital transformation in higher education and healthcare practices. This study aimed to investigate the level of digital competence, views and experiences, social media usage, and perceived barriers to digital communication among healthcare students. Method: Employing a mixed-methods approach, quantitative data were gathered through an online survey, while qualitative insights were gleaned from semi-structured questionnaire responses obtained during focus group discussions. A total of 143 nursing and midwifery students from Turkey, along with 54 dietetics students from various European countries, participated in the study. Results: A significant proportion of nursing (43.5%) and midwifery (55.2%) students advocated for integrating digital technology training into university curricula. Instagram has emerged as the predominant platform for sharing healthcare/nutrition information among students. However, concerns have been raised regarding the prevalence of “before/after” posts on social media promoting weight loss, which were identified as low-quality content by participants. Conclusions: These findings underscore the importance of integrating digital technologies and social media into healthcare, nutrition education, and practice. Additionally, there is a pressing need to establish professional and ethical standards for digital nutritional communication. By addressing these challenges, educators can better equip healthcare students to navigate the complexities of modern healthcare practices and enhance patient-care outcomes.

Implementasi Intelejen Bisnis dengan Visualisasi Data Gaji dan Algoritma Linear Regresion

To understand these employment dynamics, it is important to explore how long Data Scientists typically work in this field and what sectors they are more likely to be involved in. This information is very important for companies looking to recruit Data Scientists or determine the average salary of their employees. With this activity, managers can more clearly know the employee's salary range based on their work experience and area of specialization. This gives managers a more precise tool for assessing compensation appropriate to the level of experience and expertise possessed by employees. Nowadays, the concept of Business Intelligence can be applied by all industrial sectors, as long as the industry has a database system to develop its business. Business Intelligence processes and analyzes large amounts of raw data and then displays it in a business report with interactive visuals, namely a dashboard. This research aims to contribute to the understanding of average salary predictions and provide valuable information for business owners to make informed decisions. The results show that linear regression is accurate and forms a linear regression model with an R-square result of 0.263429. The salary prediction calculation process is carried out by considering influencing factors, and the results are then presented visually using Power BI to provide business owners with more interactive information.

Characterizing engagement in the science practices: A study of preservice elementary teachers

AbstractPreservice elementary teachers enter their science methods courses with a range of prior experience with science practice. Those prior experiences likely inform much of their science pedagogy and goals. In this study, the authors examine how a cohort of preservice elementary teachers engaged in science practice as they learned content in a physics course. Drawing on course documents, videorecords, and artifacts from in‐class lab work and interviews with nine participants, the authors used an asset‐based, mixed methods approach. The authors developed rubrics to assess the level of sophistication the participants used while engaging in science practice on a scale of 1 (pre‐novice) to 4 (experienced). They used descriptive statistics and ANOVA's to interpret the performance of the participants in addition to grounded theory open coding of interviews to determine the participants' level of prior experience with science practice. The findings suggest that these preservice teachers primarily engaged in science practices at a novice level. In general, their sophistication scores on the rubric aligned with their prior experience. The findings suggest that while one content course steeped in science practice was not enough to significantly change preservice teachers' engagement, it can provide a needed starting place and that it likely takes time to develop these skills. The findings have implications for both teacher educators and researchers who hope to increase the use of science practice as a method of learning science content.

Comparison of the Diagnosis and Treatment of Nasal Bone Fracture by Physicians in China With Different Levels of Experience.

This study aimed to investigate the conflicts in the diagnosis and treatment of nasal bone fracture by Chinese otolaryngologists to improve the diagnosis and treatment accuracy of junior otolaryngologists and emergency physicians. A questionnaire was designed and filled out by otolaryngologists in large general hospitals. The questions included how to choose an auxiliary examination to diagnose nasal bone fracture, whether tamponade is required after closed reduction, the selection of packing materials, the timing of an operation, and the evaluation of postoperative effect. The questionnaire results were divided into 3 groups according to the experience levels of experienced of physicians. A total of 151 otolaryngologists with different levels of experience from 26 provinces in China completed the questionnaire. 90.73% of physicians thought that nasal bone computed tomography was the most important auxiliary examination to diagnose a nasal bone fracture. 52.32% of them compared photos before and after the operation to evaluate postoperative effects. About 53% of physicians thought that 7 to 10 days after reducing local swelling is the optimal time for closed reduction. There is no obvious difference in the diagnosis and treatment of nasal bone fracture among otolaryngologists with different levels of experience in Chinese otolaryngologists with different levels. Most physicians choose nasal bone computed tomography for diagnosis, perform surgery at 7 to 10 days after injury, and compare photos from before and after the operation to evaluate the postoperative effect.

Αναπαραστάσεις εκπαιδευτικών για τη γλωσσική εκπαίδευση μαθητών/τριών με προσφυγικό υπόβαθρο

This research aims to contribute to the debate on the need for an intercultural-inclusive school by focusing on the perceptions of teachers working in public schools regarding the language education of children with refugee background. Data was collected using a questionnaire distributed online to 54 teachers who taught in classes with refugee students during the school year 2021-2022. Descriptive statistical analysis techniques and inferential statistical analysis techniques (x²) were chosen for data analysis. The findings summarize the teachers' positive attitude towards refugee students, while highlighting their perceptions about the obstacles and suggestions for more effective learning of Greek. Finally, an attempt is made to record the variations in the teachers' responses in relation to the variables such as service experience and educational level.

Application of citizen science with the nationwide bird census

Citizen science (CS) is the most effective tool for overcoming the limitations of government and/or professional data collection. To compensate for quantitative limitations of the 'Winter Waterbird Census of Korea', we conducted a total of four bird monitoring via CS from 2021 to 2022. To use CS data alongside national data, we studied CS data quality and improvement utilizing (1) digit-based analysis using Benford’s law and (2) comparative analysis with national data. In addition, we performed bird community analysis using CS-specific data, demonstrating the necessity of CS. Neither CS nor the national data adhered to Benford's law. Alpha diversity (number of species and Shannon index) was lower, and total beta diversity was higher for the CS data than national data. Regarding the observed bird community, the number of species per family was similar; however, the number of individuals per family/species differed. We also identified the necessity of CS by confirming the possibility of predicting bird communities using CS-specific data. CS was influenced by various factors, including the perceptions of the survey participants and their level of experience. Therefore, conducting CS after systematic training can facilitate the collection of higher-quality data

Exploring the Digital Frontier in Sports Training: Coach's Perspectives, Influential Factors, and Case Study in Indonesia

This study aims to determine the perception of coaches in the entry of digitalization of sports and the effect of gender, age, region, educational background, and training experience on the perception of the entry of digitalization of sports. This research is a quantitative research with a cross-sectional survey method. The data collection instrument uses a questionnaire that has been tested for validity and reliability using the corrected item-total correlation test and the Cronbach'Alpha test. Percentage analysis was used to determine the coach's perception, while ordinal regression was used to determine the effect of the independent variable on the dependent variable. The study results found that 39.9% of coaches agreed, and 39.4% strongly agreed with digital technology in sports. Two independent variable indicators influence coaches' perception of the inclusion of digitalization in the world of sports: the level of education and training experience. This study concludes that it is essential to develop the digitalization of training programs; this is related to the convenience of coaches and athletes in monitoring the development of student-athlete training programs. Keywords: digital, training program, coach's perception.

Social networking sites as affordable tools for high-potential personal learning networks: the case of teachers as learners in Vietnam

AbstractWhile a great deal has been published about the educational value of social networking sites (SNSs) for teachers, less has focused on teachers who are arguably more dependent on these virtual platforms for informal professional learning due to financial constraints and a lack of regular in-service professional development. Situating this study in Vietnam and focusing on teachers teaching English as a foreign language, we examined how these teachers have adapted SNSs, a tool typically used in leisure and social life, into online personal learning networks. The evidence was collected from 393 teachers’ responses to an online survey. The results from descriptive and non-parametric inferential tests revealed three main findings: (1) Teachers engage in a variety of professional learning activities using SNSs with high frequency, regardless of their self-perceived levels of technology competence or teaching experience; (2) Teachers make use of online groups on SNSs for professional topics and their preferences of topics are not likely to be determined by their experience, except for the topics of classroom management techniques and knowledge about learners; (3) The most decisive factors these teachers associated with effective professional learning on SNSs include time availability, reliability of information and materials, personal information privacy and desire to learn. Teachers’ perceptions about these factors are influenced by the frequency of their SNS use and professional work experience. The implications of these findings for teacher professional development in Vietnam, and other countries in similar economic circumstances, are also discussed.

Patient Experience and Nurse Staffing Level in South Korea.

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance (NHI) in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1,000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7,250 patients from 42 tertiary hospitals and 16,235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the NHI to adjust reimbursement to hospitals. Multi-level ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.

Rectal tumors display varying degrees of response to total neoadjuvant therapy (TNT). We evaluated the performance of a convolutional neural network (CNN) in interpreting endoscopic images of either a non-complete response to TNT or local regrowth during watch-and-wait surveillance. Endoscopic images from stage II/III rectal cancers treated with TNT from 2012 to 2020 at a single institution were retrospectively reviewed. Images were labelled as Tumor or No Tumor based on endoscopy timing (before, during, or after treatment) and the tumor's endoluminal response. A CNN was trained using ResNet-50 architecture. The area under the curve (AUC) was analyzed during training and for two test sets. The main test set included images of tumors treated with TNT. The other contained images of local regrowth. The model's performance was compared to sixteen surgeons and surgical trainees who evaluated 119 images for evidence of tumor. Fleiss' kappa was calculated by respondent experience level. A total of 2717 images from 288 patients were included; 1407 (51.8%) contained tumor. The AUC was 0.99, 0.98, and 0.92 for training, main test, and local regrowth test sets. The model performed on par with surgeons of all experience levels for the main test set. Interobserver agreement was good ( = 0.71-0.81). All groups outperformed the model in identifying tumor from images of local regrowth. Interobserver agreement was fair to moderate ( = 0.24-0.52). A highly accurate CNN matched the performance of colorectal surgeons in identifying a noncomplete response to TNT. However, the model demonstrated suboptimal accuracy when analyzing images of local regrowth.

The Rate of Return on Education Investment in South Sumatra Province: An Analysis

This research was conducted to determine the rate of return on education investment for workers in South Sumatra Province. The data used was obtained from the SAKERNAS for February 2022 provided by BPS and consisted of 2965 selected samples. The analyzed data includes the workers’ wages, education level, work experience, gender, economic sector they belong to, and regional category. The results of this study suggest that the level of education, work experience, gender, economic sector, and regional category collectively influence the amount of wages received by the workers. Changes in wages can be attributed to the variables of education level, work experience, gender, economic sector, and regional category, accounting for 19.5% of the observed variance. The remaining 80.5% of the variance is attributed to other variables not considered in this study. Furthermore, the findings indicate that the rate of return on education investment is expected to increase in 2022, corresponding with higher levels of education among the workers. Keywords: return on education investment, education, experience, gender, economic sector, region

Navigating socio‐emotional risk through comfort‐building in physics teacher professional development: A case study

AbstractIn teacher professional development (PD), grouping teachers with varying levels of experience can be a productive and empowering way to stimulate the exchange and co‐generation of content and pedagogical knowledge. However, less experienced teachers can face socio‐emotional risks when engaging in collaborative science content reasoning tasks with more experienced colleagues, and these risks may impact the collaborative experience of both parties and the learning environment in teacher PD. This exploratory case study examines the process of productively navigating socio‐emotional risks and interpersonal tensions encountered by a veteran and pre‐service physics teacher during one episode of discussing physics content. We use a single term, comfort‐building, to encapsulate discursive moves that result in increased feelings of comfort and safety by the participants. Comfort‐building includes moves that serve to mitigate social risk, ease tension, and avoid discomfort, as well as those geared toward finding common ground and co‐navigating challenges. These moves can carve out conversational space for teachers to more confidently face risks associated with being accountable to the physics content knowledge and engage in discipline‐based conversations more deeply. The presented case was followed by video‐stimulated individual interviews to determine how consciously the teachers connected their participation to explicit risk and comfort. This case study highlights an affective dimension for consideration in the continued study and facilitation of science teacher PD, especially programs that bring together teachers with a variety of backgrounds and skill sets.

Enhanced Design of a Tai Chi Teaching Assistance System Integrating DTW Algorithm and SVM

Physical education using technology has enabled traditional practices like Tai Chi, a martial art known for its multiple health benefits and meditative aspects, to set coordinated goals. This research presents an intelligent Tai Chi Teaching Assistance System supported by the integration of the Dynamic Time Warping algorithm and Support Vector Machine, in which can practitioners providing real-time feedback to improve Tai Chi learning and quality. In the system, the DTWA Dynamic Time Warping Algorithm was used to accurately compare a practitioner’s complex body movements with the Tai Chi standard movements dataset, taking into account execution speed deviations and others. Meanwhile, the SVM was employed to classify the movement as to quality and correctness, thereby being able to provide precise, individual feedback. This hybrid approach ensures a high-motion recognition accuracy rate while also adhering to nuanced Tai Chi requirements. The system was evaluated through detailed testing with various levels of Tai Chi experience. Evaluation showed that the students’ performance and understanding of most Taijiquan movements and related physical exercises improved significantly. It indicates the system has a practical application value for also beginners and intermediate and last expert, respectively. It also shows the effectiveness of combining DTW and SVM to support learners ‘body movement trajectory in a physical learning environment, opening them up to additional technology-assisted physical training applications. This provides implications for a more promising generation of future physical education involving the incorporation of complex AI technology.