Análisis de la carga laboral en tiempo médico en función del grado de complejidad de las muestras y propuesta de algoritmo para la distribución equitativa del trabajo asistencial en un servicio de anatomía patológica / Analysis of the workload in medical time according to the degree of complexity of the samples and proposal of an algorithm for the equitable distribution of the workload in an anatomic pathology department

Introducción: En un servicio de anatomía patológica se analiza la carga laboral en tiempo médico en función de la complejidad de las muestras recibidas, y se valora su distribución entre los patólogos, presentado un nuevo algoritmo informático que favorece una distribución equitativa. Métodos: Siguiendo las directrices para la «Estimación de la carga de trabajo en citopatología e histopatología (tiempo médico) atendiendo al catálogo de muestras y procedimientos de la SEAP-IAP (2.ª edición)» se determinan las unidades de carga laboral (UCL) por patólogo y UCL global del servicio, la carga media laboral que soporta el servicio (factor MU), el tiempo de dedicación de cada patólogo a la actividad asistencial y el número de patólogos óptimo según la carga laboral del servicio. Resultados: Determinamos 12.197 UCL totales anuales para el patólogo jefe de servicio, así como 14.702 y 13.842 para los patólogos adjuntos, con una UCL global del servicio de 40.742. El factor MU calculado es 4,97. El jefe ha dedicado el 72,25% de su jornada a la asistencia y los adjuntos el 87,09 y 82,01%. El número de patólogos óptimo para el servicio es de 3,55. Conclusiones: Todos los resultados obtenidos demuestran la sobrecarga laboral médica, y la distribución de las UCL entre los patólogos no resulta equitativa. Se propone un algoritmo informático capaz de distribuir la carga laboral de manera equitativa, asociado al sistema de información del laboratorio, y que tenga en cuenta el tipo de muestra, su complejidad y la dedicación asistencial de cada patólogo.(AU)

Introduction: In a pathological anatomy service, the workload in medical time is analyzed based on the complexity of the samples received and its distribution among pathologists is assessed, presenting a new computer algorithm that favors an equitable distribution. Methods: Following the second edition of the Spanish guidelines for the estimation of workload in cytopathology and histopathology (medical time) according to the Spanish Pathology Society-International Academy of Pathology (SEAP-IAP) catalog of samples and procedures, we determined the workload units (UCL) per pathologist and the overall UCL of the service, the average workload of the service (MU factor), the time dedicated by each pathologist to healthcare activity and the optimal number of pathologists according to the workload of the service. Results: We determined 12 197 total annual UCL for the chief pathologist, as well as 14 702 and 13 842 UCL for associate pathologists, with an overall of 40 742 UCL for the whole service. The calculated MU factor is 4.97. The chief pathologist devoted 72.25% of his working day to healthcare activity while associate pathologists dedicated 87.09% and 82.01% of their working hours. The optimal number of pathologists for the service is found to be 3.55. Conclusions: The results demonstrate medical work overload and a non-equitable distribution of UCLs among pathologists. We propose a computer algorithm capable of distributing the workload in an equitable manner. It would be associated with the laboratory information system and take into account the type of specimen, its complexity and the dedication of each pathologist to healthcare activity.(AU)

Crossing the digital divide: The workload of manual data entry for integration between mobile health applications and eHealth infrastructure.

Background: Many digital health interventions (DHIs), including mobile health (mHealth) apps, aim to improve both client outcomes and efficiency like electronic medical record systems (EMRS). Although interoperability is the gold standard, it is also complex and costly, requiring technical expertise, stakeholder permissions, and sustained funding. Manual data linkage processes are commonly used to "integrate" across systems and allow for assessment of DHI impact, a best practice, before further investment. For mHealth, the manual data linkage workload, including related monitoring and evaluation (M&E) activities, remains poorly understood. Methodology: As a baseline study for an open-source app to mirror EMRS and reduce healthcare worker (HCW) workload while improving care in the Nurse-led Community-based Antiretroviral therapy Program (NCAP) in Lilongwe, Malawi, we conducted a time-motion study observing HCWs completing data management activities, including routine M&E and manual data linkage of individual-level app data to EMRS. Data management tasks should reduce or end with successful app implementation and EMRS integration. Data was analysed in Excel. Results: We observed 69:53:00 of HCWs performing routine NCAP service delivery tasks: 39:52:00 (57%) was spent completing M&E data related tasks of which 15:57:00 (23%) was spent on manual data linkage workload, alone. Conclusion: Understanding the workload to ensure quality M&E data, including to complete manual data linkage of mHealth apps to EMRS, provides stakeholders with inputs to drive DHI innovations and integration decision making. Quantifying potential mHealth benefits on more efficient, high-quality M&E data may trigger new innovations to reduce workloads and strengthen evidence to spur continuous improvement.

Activities of the oral health teams in primary health care: a time-motion study.

BACKGROUND: Efficient planning of the oral health workforce in Primary Health Care (PHC) is paramount to ensure equitable community access to services. This requires a meticulous examination of the population's needs, strategic distribution of oral health professionals, and effective human resource management. In this context, the average time spent on care to meet the needs of users/families/communities is the central variable in healthcare professional workforce planning methods. However, many time measures are solely based on professional judgment or experience. OBJECTIVE: Calculate the average time parameters for the activities carried out by the oral health team in primary health care. METHOD: This is a descriptive observational study using the time-motion method carried out in five Primary Health Care Units in the city of São Paulo, SP, Brazil. Direct and continuous observation of oral health team members occurred for 40 h spread over five days of a typical work week. RESULTS: A total of 696.05 h of observation were conducted with 12 Dentists, three Oral Health Assistants, and five Oral Health Technicians. The Dentists' main activity was consultation with an average duration of 24.39 min, which took up 42.36% of their working time, followed by documentation with 12.15%. Oral Health Assistants spent 31.57% of their time on infection control, while Oral Health Technicians spent 22.37% on documentation. CONCLUSION: The study establishes time standards for the activities performed by the dental care team and provides support for the application of workforce planning methods that allow for review and optimization of the work process and public policies.

Trajectories of nursing hours over the course of hospitalization and estimated additional nurse staffing requirements to reduce the length of stay.

PURPOSE: The aims of this study are to examine the trajectories of nursing hours per patient day (NHPPD) over the course of hospitalization according to the patient's length of stay (LOS) and to estimate changes in the total nursing hours during hospitalization, average NHPPD, and the number of nurses additionally required when the LOS was reduced by 1 day. DESIGN: This retrospective longitudinal study analyzed patient data collected from a tertiary university hospital located in Seoul, South Korea. The study sample included 11,316 inpatients who were discharged between September 1 and October 31, 2022. METHODS: NHPPD over the course of each patient's hospitalization was estimated using the total score of the Korean Patient Classification System-1 (KPCS-1), which nurses evaluated and recorded every day from admission to discharge. The NHPPD trajectories were examined using linear mixed models to analyze repeated KPCS-1 measurements and control for the effects of patient characteristics. The changes in the average NHPPD when LOS was reduced by 1 day were estimated using maximum and minimum estimations. The impact of a 1-day reduction in LOS on staffing requirements was calculated as the number of nurses additionally required to work each shift and to be hired. FINDINGS: The average LOS was 5.6 days, and the short (1-6 days) and medium (7-14 days) LOS groups accounted for 78.9% and 14.3% of patients, respectively. The NHPPD trajectories showed a "rise-peak-decline" pattern. Patients in the short LOS group received the most NHPPD on day 1 (day of admission) or day 2, whereas the NHPPD for patients in the medium LOS group peaked on days 3-6. After peaking, the NHPPD tended to decrease toward the end of hospitalization, with the least NHPPD on the day of discharge, followed by the day before discharge. When LOS was reduced by 1 day, the average NHPPD was estimated to increase by 7.7-50.0% in the maximum estimation, and 0.9-12.5% in the minimum estimation. In response to a 1-day reduction, 1.10-7.44 nurses were additionally required to care for 100 patients each shift and 5.28-35.70 additional nurses needed to be hired in the maximum estimation. In the minimum estimation, these values were 0.13-1.85 additional nurses per shift and 0.65-8.90 additional nurses to be hired, respectively. CONCLUSIONS: Since NHPPD exhibited a "rise-peak-decline" trajectory, reducing the LOS by 1 day was estimated to increase the average NHPPD and lead to additional staffing requirements. The additional nurse requirement for a 1-day reduction was not constant; instead, it increased with each day subtracted from an already shorter LOS. CLINICAL RELEVANCE: Sufficient nurse staffing is necessary to provide increased NHPPD as a result of shortened LOS. Changes in the LOS should be considered when determining nurse staffing requirements.

The hidden work of general practitioners: An ethnography.

High quality primary care is a foundational element of effective health services. Internationally, primary care physicians (general practitioners (GPs), family doctors) are experiencing significant workload pressures. How non-patient-facing work contributes to these pressures and what constitutes this work is poorly understood and often unrecognised and undervalued by patients, policy makers, and even clinicians engaged in it. This paper examines non-patient-facing work ethnographically, informed by practice theory, the Listening Guide, and empirical ethics. Ethnographic observations (104 h), in-depth interviews (n = 16; 8 with GPs and 8 with other primary care staff) and reflexive workshops were conducted in two general practices in England. Our analysis shows that 'hidden work' was integral to direct patient care, involving diverse clinical practices such as: interpreting test results; crafting referrals; and accepting interruptions from clinical colleagues. We suggest the term 'hidden care work' more accurately reflects the care-ful nature of this work, which was laden with ambiguity and clinical uncertainty. Completing hidden care work outside of expected working hours was normalised, creating feelings of inefficiency, and exacerbating workload pressure. Pushing tasks forward into an imagined future (when conditions might allow its completion) commonly led to overspill into GPs' own time. GPs experienced tension between their desire to provide safe, continuous, 'caring' care and the desire to work a manageable day, in a context of increasing demand and burgeoning complexity.

Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task.

The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another human (H/H) and 50% with a cobot (H/C). The workload and the acceptability of the cobotic collaboration were measured. Working with a cobot decreases the effect of the task complexity on the human workload and on the output quality. However, it increases the time completion and the number of gestures (while decreasing their frequency). The H/C couples have a higher chance of success but they take more time and more gestures to realize the task. The results of this research could help developers and stakeholders to understand the impacts of implementing a cobot in production chains.

Occurrence of musculoskeletal disorders, burnout, and psychological suffering in Brazilian nursing workers: A cross-sectional study.

Background: Musculoskeletal disorders (MSDs) pose a pervasive concern among nursing professionals due to the high physical workload. Simultaneously, the complex relationship between MSDs and mental health outcomes in this population remains an area of significant interest and importance. Objective: This study aimed to investigate the occurrence of MSDs and their relationships with burnout and psychological suffering within the nursing workforce. Methods: A cross-sectional study was conducted in 2020 involving 291 nursing professionals in Brazil. Standardized questionnaires were employed to gather information on MSDs, mental health outcomes, and pertinent work-related factors. Robust statistical analyses were conducted to ascertain the prevalence of MSDs, establish associations between MSDs and mental health outcomes, and delineate the influence of work-related factors on these associations. Statistical analysis was performed using the R software. Results: The study revealed a significant prevalence of musculoskeletal injuries (MSIs) among nursing workers, focusing on regions that include the lower back, upper back, neck, and shoulders. Individuals with MSIs in the lower back showed a marked increase in emotional exhaustion (p = 0.02), as did those with MSIs in the upper back (p <0.01) and depersonalization (p = 0.07). On the other hand, nursing professionals who reported MSIs in the neck and shoulders had considerably higher scores in emotional exhaustion (p <0.01 and p = 0.01, respectively) and depersonalization (p = 0.05 and p = 0.05, respectively). However, no significant correlations emerged between MSIs and depression or work-related factors. Conclusions: This study highlights the urgency of implementing proactive measures to prevent and manage MSDs within the nursing profession. Moreover, it emphasizes the critical need to enhance working conditions and provide robust support mechanisms to safeguard the mental health of nursing professionals.Open AccessOpen Access.

Prevalence of missed nursing care and its association with work experience: A cross-sectional survey.

Background: Nurses faced with multiple demands in hospitals are often compelled to prioritize nursing care. Knowledge of missed nursing care provides insight into whether necessary nursing care is delivered, what is missed, and the reasons for missed nursing care. This insight is essential to support evidence-based policy and practice to improve patient care, enhance nursing practice, and optimize the work environment. Research on factors influencing missed nursing care is imperative to implement targeted strategies. However, studies investigating work experience as a predictor are inconclusive, and no identified studies have examined how nurses' work experience is associated with different elements of missed nursing care. Objectives: To investigate the prevalence and reasons for missed nursing care and whether nurses' work experience was associated with missed nursing care. Design: The design was cross-sectional, using the Danish version of the MISSCARE survey. Setting: The study was conducted at a public Danish university hospital with 1,150 beds and approximately 10,350 employees. Participants: Across 34 surgical, medical, and mixed bed wards for adults, 1,241 nurses were invited by email to respond anonymously to the Danish MISSCARE survey. Of these nurses, 50.3% responded, and 42.6% fully completed the questionnaire. Methods: A total score mean and a mean score were calculated and then compared between experience (≤5 years/>5 years) in a linear regression model adjusting for unequally distributed variables. Results: More than two thirds of the nurses reported that emotional support, patient bathing, ambulation, mouth care, interdisciplinary conferences, documentation, and assessing effectiveness of medication were frequently missed elements of nursing care. The most significant reasons for missed nursing care were an inadequate number of nurses, an unexpected rise in patient volume, urgent patient situations, heavy admission, and discharge activity. Nurses with work experience of less than 5 years reported more missed nursing care, especially within fundamental care. Conclusions: Nursing elements to avoid potentially critical situations and nursing related to treatment observations were rarely missed, while nursing care elements visible only to the patient and the nurse were most often missed. By increasing transparency and explicitness within nursing care, the results enable critical evaluation of prioritization of nursing care elements. The number of staff not balancing the number and acuity of patients was the main reason for missed nursing care. The perception of missed nursing care was most pronounced in less experienced nurses. The study contributes to the global research community to achieve a broader understanding of missed nursing care. Tweetable abstract: Nursing to avoid potentially critical situations and treatment observations are prioritized over fundamental care, perceived mainly by less experienced nurses.

Association between work-related factors and health behaviour clusters among Finnish private-sector service workers.

PURPOSE: We examined how work-related factors associate with several health behaviours that appear together among the large, but less-studied, blue- and pink-collar worker group, which is characterized by low education and income levels. METHODS: In 2019, we conducted a cross-sectional survey among private sector service workers (n = 5256) in Finland. We applied two-step cluster analysis to identify groups on the basis of leisure-time physical activity, sleep adequacy, frequency of heavy drinking, smoking status, and frequency of fruit, vegetable and berry consumption. We examined the associations with work-related factors, using multinomial regression analyses and adjusting for confounding factors. RESULTS: We identified six clusters labelled as Moderately Healthy (28% of the participants), Healthy - Vigorous Exercise (19%), Sedentary Lifestyle (16%), Inadequate Sleep (15%), Mixed Health Behaviours (15%), and Multiple Risk Behaviours (8%). Those who perceived their work to be mentally or physically strenuous more commonly belonged to the Inadequate Sleep and Multiple Risk Behaviours clusters. Time pressure made belonging to the Inadequate Sleep, Mixed Health Behaviours, and Multiple Risk Behaviours clusters more likely. Those who were dissatisfied with their work more often belonged to the Healthy - Vigorous Exercise, Inadequate Sleep, and Multiple Risk Behaviours clusters. CONCLUSION: In addition of finding several considerably differing health behaviour clusters, we also found that adverse working conditions were associated with clusters characterized by multiple risk behaviours, especially inadequate sleep. Private-sector service workers' working conditions should be improved so that they support sufficient recovery, and occupational health services should better identify co-occurring multiple risk behaviours.

Association between Mothers' Working Hours and Metabolic Syndrome in Children and Adolescents: Data from the Korea National Health and Nutrition Examination Survey, 2016-2020.

Background: Prevention and management of metabolic syndrome (MetS) during childhood are crucial. Recently, obesity among children and adolescents has increased with an increase in mothers' working hours. The present study was conducted to determine the relationship between mothers' working hours and MetS in their children. Methods: Data from the 2016-2020 National Health and Nutrition Examination Survey were used, and 2,598 children and adolescents aged 10-18 years were included. Logistic regression analysis was conducted to confirm the association between MetS and mothers' working hours for each risk factor. Linear regression analysis was conducted to confirm the association between mothers' working hours and the number of risk factors for MetS. Results: Abdominal obesity in children was higher when the mothers' working hours were 53 hours or more (odds ratio [OR], 2.267; 95% confidence interval [CI], 1.21-4.25). In the trend analysis, the OR of children's abdominal obesity increased significantly as mothers' working hours increased (P-value <0.05). Additionally, sex-stratified analysis revealed a significant trend between maternal work hours and the presence of MetS in female children (P=0.016). The adjusted OR of the presence of MetS in female children with mothers working 53 hours or more weekly was 6.065 (95% CI, 1.954-18.822). Conclusion: Mothers' working hours were highly correlated with the risk of abdominal obesity in their children. The OR of the presence of MetS significantly increased in female children with mothers having longer working hours compared with those with stay-at-home mothers.

Workload Risk Factors for Pitching-Related Injuries in High School Baseball Pitchers.

BACKGROUND: Pitch counts are only one measure of the true workload of baseball pitchers. Newer research indicates that workload measurement and prevention of injury must include additional factors. Thus, current monitoring systems gauging pitcher workload may be considered inadequate. PURPOSE/HYPOTHESIS: The purpose of this study was to develop a novel method to determine workload in baseball pitchers and improve processes for prevention of throwing-related injuries. It was hypothesized that our pitching workload model would better predict throwing-related injuries occurring throughout the baseball season than a standard pitch count model. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: This prospective observational study was conducted at an academic medical center and community baseball fields during the 2019 to 2023 seasons. Pitchers aged 13 to 18 years were monitored for pitching-related injuries and workload (which included pitching velocity; intensity, using preseason and in-season velocity as a marker of effort; and pitch counts). RESULTS: A total of 71 pitchers had 313 recorded pitcher outings, 11 pitching-related injuries, and 24,228 pitches thrown. Gameday pitch counts for all pitchers ranged from 19 to 219 (mean, 77.5 ± 41.0). Velocity ranged from 46.8 to 85.7 mph (mean, 71.3 ± 5.8 mph). Intensity ranged from 0.7 to 1.3 (mean, 1.0 ± 0.08). The mean workload was 74.7 ± 40.1 for all pitchers. Risk factors significant for injury included throwing at a higher velocity in game (P = .001), increased intensity (eg, an increase in mean velocity thrown from preseason to in-season; P < .001), and being an older pitcher (P = .014). No differences were found for workload between injured and noninjured pitchers because the analysis was underpowered. CONCLUSION: Our workload model indicated that throwing at a higher velocity, throwing at a higher intensity, and older age were risk factors for injury. Thus, this novel workload model should be considered as a means to identify pitchers who may be at greater risk for injury.

What we learned from the COVID-19 infection control and what we need in the future, a quantitative and qualitative study on hospital infection prevention and control practitioners (HIPCPs) in Tianjin, China.

BACKGROUND: In December 2022, the epidemic prevention and control policy was upgraded and China came to a different stage of epidemic control. There have been no studies from the perspective of infection prevention and control practitioners (HIPCP) about the historic surge. OBJECTIVE: To understand the needs of the healthcare system during the epidemic and to identify implications for better healthcare supply and infection control in the future. METHODS: A longitudinal quantitative and qualitative study was performed based on two comprehensive questionnaire surveys among 497 HIPCPs before and during the epidemic peak in Tianjin, China. RESULTS: The workload (8.2 hours vs 10.14 hours, P = 0) and self-reported mental health problems (23.5% vs. 61.8%, P < 0.05) among the HIPCPs increased significantly in the peak period. Ward reconstruction and resource coordination were the most needed jobs in hospital infection control, and rapidly increased medical waste during the epidemic needs to be considered in advance. Community support for healthcare personnel and their families, maintaining full PPE to reduce simultaneous infection of medical staff, and clinical training of infectious diseases for medical staff, especially doctors in advance are the most important things we learned. CONCLUSION: Although it has been four years since the first outbreak of COVID-19, more improvements should be made to prepare for the next wave of COVID-19 or other diseases.

The Impact of Various Cockpit Display Interfaces on Novice Pilots' Mental Workload and Situational Awareness: A Comparative Study.

Future airspace is expected to become more congested with additional in-service cargo and commercial flights. Pilots will face additional burdens in such an environment, given the increasing number of factors that they must simultaneously consider while completing their work activities. Therefore, care and attention must be paid to the mental workload (MWL) experienced by operating pilots. If left unaddressed, a state of mental overload could affect the pilot's ability to complete his or her work activities in a safe and correct manner. This study examines the impact of two different cockpit display interfaces (CDIs), the Steam Gauge panel and the G1000 Glass panel, on novice pilots' MWL and situational awareness (SA) in a flight simulator-based setting. A combination of objective (EEG and HRV) and subjective (NASA-TLX) assessments is used to assess novice pilots' cognitive states during this study. Our results indicate that the gauge design of the CDI affects novice pilots' SA and MWL, with the G1000 Glass panel being more effective in reducing the MWL and improving SA compared with the Steam Gauge panel. The results of this study have implications for the design of future flight deck interfaces and the training of future pilots.

Beyond order-based nursing workload: A retrospective cohort study in intensive care units.

INTRODUCTION: In order to be positioned to address the increasing strain of burnout and worsening nurse shortage, a better understanding of factors that contribute to nursing workload is required. This study aims to examine the difference between order-based and clinically perceived nursing workloads and to quantify factors that contribute to a higher clinically perceived workload. DESIGN: A retrospective cohort study was used on an observational dataset. METHODS: We combined patient flow, nurse staffing and assignment, and workload intensity data and used multivariate linear regression to analyze how various shift, patient, and nurse-level factors, beyond order-based workload, affect nurses' clinically perceived workload. RESULTS: Among 53% of our samples, the clinically perceived workload is higher than the order-based workload. Factors associated with a higher clinically perceived workload include weekend or night shifts, shifts with a higher census, patients within the first 24 h of admission, and male patients. CONCLUSIONS: The order-based workload measures tended to underestimate nurses' clinically perceived workload. We identified and quantified factors that contribute to a higher clinically perceived workload, discussed the potential mechanisms as to how these factors affect the clinically perceived workload, and proposed targeted interventions to better manage nursing workload. CLINICAL RELEVANCE: By identifying factors associated with a high clinically perceived workload, the nurse manager can provide appropriate interventions to lighten nursing workload, which may further reduce the risk of nurse burnout and shortage.

Adjunct Preceptor Perceptions of Motivation, Understanding, and Support for the Precepting Role.

OBJECTIVE: To determine adjunct pharmacist preceptor perceptions of their precepting role related to three domains: motivation to precept, understanding the precepting role, and support for precepting. METHODS: An online cross-sectional survey of 2429 adjunct preceptors for four schools of pharmacy was conducted. Participants ranked their agreement with 81 statements regarding the three domains, including eleven subdomains. RESULTS: Mean scores for the three domains were slightly below the positive response level, with lower scores found for the subdomains of workload, precepting norms, and extrinsic benefits/rewards. Individual statements indicated increased workload due to precepting, need for more preceptor recognition and appreciation, perceptions that precepting was stressful or draining, and a preference for one concurrent learner. More frequent need for extra coaching for APPE students negatively impacted all domains, including nine subdomains. CONCLUSION: This study provides a formal evaluation of adjunct preceptor perceptions of their precepting role. Compared to previous studies, these results may indicate lower satisfaction with precepting, suggesting opportunities exist to improve the adjunct precepting experience. Actions by schools/colleges of pharmacy are necessary to ensure experiential education capacity including addressing workload concerns, increasing preceptor recognition and appreciation, and supporting preceptors when students need extra coaching.

Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation.

As the level of vehicle automation increases, drivers are more likely to engage in non-driving related tasks which take their hands, eyes, and/or mind away from the driving task. Consequently, there has been increased interest in creating Driver Monitoring Systems (DMS) that are valid and reliable for detecting elements of driver state. Workload is one element of driver state that has remained elusive within the literature. Whilst there has been promising work in estimating mental workload using gaze-based metrics, the literature has placed too much emphasis on point estimate differences. Whilst these are useful for establishing whether effects exist, they ignore the inherent variability within individuals and between different drivers. The current work builds on this by using a Bayesian distributional modelling approach to quantify the within and between participants variability in Information Theoretical gaze metrics. Drivers (N = 38) undertook two experimental drives in hands-off Level 2 automation with their hands and feet away from operational controls. During both drives, their priority was to monitor the road before a critical takeover. During one drive participants had to complete a secondary cognitive task (2-back) during the hands-off Level 2 automation. Changes in Stationary Gaze Entropy and Gaze Transition Entropy were assessed for conditions with and without the 2-back to investigate whether consistent differences between workload conditions could be found across the sample. Stationary Gaze Entropy proved a reliable indicator of mental workload; 92 % of the population were predicted to show a decrease when completing 2-back during hands-off Level 2 automated driving. Conversely, Gaze Transition Entropy showed substantial heterogeneity; only 66 % of the population were predicted to have similar decreases. Furthermore, age was a strong predictor of the heterogeneity of the average causal effect that high mental workload had on eye movements. These results indicate that, whilst certain elements of Information Theoretic metrics can be used to estimate mental workload by DMS, future research needs to focus on the heterogeneity of these processes. Understanding this heterogeneity has important implications toward the design of future DMS and thus the safety of drivers using automated vehicle functions. It must be ensured that metrics used to detect mental workload are valid (accurately detecting a particular driver state) as well as reliable (consistently detecting this driver state across a population).

An exploratory study of the practical impact of the COVID-19 pandemic on nursing tasks in clinical settings.

AIMS: To identify and compare new or increased nursing tasks in South Korea during the pandemic, categorized by hospital type and department. BACKGROUND: Although COVID-19 is no longer considered a global public health emergency, the threat of novel infectious diseases remains. Reflecting on the COVID-19 pandemic is essential to prepare effectively for future outbreaks. METHODS: This cross-sectional exploratory study, following the STROBE checklist, included 948 registered nurses with more than a year of clinical experience currently working in various hospitals. Questionnaires gathered demographic data, work characteristics, and the frequency of nursing task performance. Statistical analysis encompassed descriptive and inferential methods. RESULTS: The most common new or increased nursing task across all hospital types was 'Access control for family caregivers.' General wards prioritized tasks related to family caregivers, while specialized units like ICU and ER focused on infection control. CONCLUSION: Understanding how COVID-19 has impacted nursing tasks is crucial for gaining insights into efficient resource allocation, targeted education, and policy formulation during similar public health crises. The pandemic has given rise to new family caregiver-related tasks in the nursing profession. Consequently, continuous nursing research is essential for establishing guidelines and fostering a supportive work environment, which is crucial for the successful implementation of these tasks.

Characterization of Running Intensity in Canadian Football Based on Tactical Position.

This study aimed to use a data-driven approach to identify individualized speed thresholds to characterize running demands and athlete workload during games and practices in skill and linemen football players. Data were recorded from wearable sensors over 28 sessions from 30 male Canadian varsity football athletes, resulting in a total of 287 performances analyzed, including 137 games and 150 practices, using a global positioning system. Speed zones were identified for each performance by fitting a 5-dimensional Gaussian mixture model (GMM) corresponding to 5 running intensity zones from minimal (zone 1) to maximal (zone 5). Skill players had significantly higher (p < 0.001) speed thresholds, percentage of time spent, and distance covered in maximal intensity zones compared to linemen. The distance covered in game settings was significantly higher (p < 0.001) compared to practices. This study highlighted the use of individualized speed thresholds to determine running intensity and athlete workloads for American and Canadian football athletes, as well as compare running performances between practice and game scenarios. This approach can be used to monitor physical workload in athletes with respect to their tactical positions during practices and games, and to ensure that athletes are adequately trained to meet in-game physical demands.

Regulation of cardiomyocyte t-tubule structure by preload and afterload: Roles in cardiac compensation and decompensation.

Mechanical load is a potent regulator of cardiac structure and function. Although high workload during heart failure is associated with disruption of cardiomyocyte t-tubules and Ca2+ homeostasis, it remains unclear whether changes in preload and afterload may promote adaptive t-tubule remodelling. We examined this issue by first investigating isolated effects of stepwise increases in load in cultured rat papillary muscles. Both preload and afterload increases produced a biphasic response, with the highest t-tubule densities observed at moderate loads, whereas excessively low and high loads resulted in low t-tubule levels. To determine the baseline position of the heart on this bell-shaped curve, mice were subjected to mildly elevated preload or afterload (1 week of aortic shunt or banding). Both interventions resulted in compensated cardiac function linked to increased t-tubule density, consistent with ascension up the rising limb of the curve. Similar t-tubule proliferation was observed in human patients with moderately increased preload or afterload (mitral valve regurgitation, aortic stenosis). T-tubule growth was associated with larger Ca2+ transients, linked to upregulation of L-type Ca2+ channels, Na+-Ca2+ exchanger, mechanosensors and regulators of t-tubule structure. By contrast, marked elevation of cardiac load in rodents and patients advanced the heart down the declining limb of the t-tubule-load relationship. This bell-shaped relationship was lost in the absence of electrical stimulation, indicating a key role of systolic stress in controlling t-tubule plasticity. In conclusion, modest augmentation of workload promotes compensatory increases in t-tubule density and Ca2+ cycling, whereas this adaptation is reversed in overloaded hearts during heart failure progression. KEY POINTS: Excised papillary muscle experiments demonstrated a bell-shaped relationship between cardiomyocyte t-tubule density and workload (preload or afterload), which was only present when muscles were electrically stimulated. The in vivo heart at baseline is positioned on the rising phase of this curve because moderate increases in preload (mice with brief aortic shunt surgery, patients with mitral valve regurgitation) resulted in t-tubule growth. Moderate increases in afterload (mice and patients with mild aortic banding/stenosis) similarly increased t-tubule density. T-tubule proliferation was associated with larger Ca2+ transients, with upregulation of the L-type Ca2+ channel, Na+-Ca2+ exchanger, mechanosensors and regulators of t-tubule structure. By contrast, marked elevation of cardiac load in rodents and patients placed the heart on the declining phase of the t-tubule-load relationship, promoting heart failure progression. The dependence of t-tubule structure on preload and afterload thus enables both compensatory and maladaptive remodelling, in rodents and humans.

Investigating learning burnout and academic performance among management students: a longitudinal study in English courses.

This study aims to move away from the cross-sectional approach related to burnout and conduct a longitudinal study to explore the factors influencing learning burnout among management students. The study primarily adopts a questionnaire survey, with students majoring in business management. Descriptive statistics and structural equation modeling (SEM) are used to analyze the data and validate the hypotheses. The findings are: (1) There is a significant negative relationship between English anxiety and self-efficacy and a significant positive relationship between past English learning performance and self-efficacy. (2) The changes in self-efficacy are negatively related to the changes in burnout, while the changes in workload are positively related to the changes in burnout. Additionally, there is a positive relationship between English anxiety and learning burnout. (3) There is a significant negative relationship between English learning performance and burnout. The direct impact of self-efficacy on English learning performance is not supported, but it has an indirect effect through the mediating role of burnout. The study proposes strategies to improve student outcomes and well-being: (1) making English courses more engaging to boost performance and confidence, reducing learning burnout; (2) encouraging and supporting students to enhance self-efficacy and motivation; (3) assigning tasks seen as useful and interesting to lessen perceived workload and emotional exhaustion; (4) and considering English anxiety in admissions to decrease learning burnout, especially as schools gain more autonomy in their policies.