Average Workload Research Articles

Pengukuran Beban Kerja Mental Mahasiswa Pekerja Fakultas Ekonomi Dan Bisnis Universitas Muhammadiyah Gresik Menggunakan Metode Nasa-TLX

Background – Mental workload is the difference between the workload demands of a task and capacity. Mental workload is a human evaluation or assessment of the limits of attentional load while carrying out tasks optimally, which is influenced by the workload demands of a task and the worker's capacity to handle the task, especially for students who carry out work activities while studying. Therefore, it is necessary to examine how much mental workload is actually borne by student workers so that the negative impacts it causes can be minimized. Aim – To measure the mental workload of student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik using the NASA-TLX method Design / methodology / approach – The research approach used is Quantitative Descriptive. Quantitative data was obtained from the results of questionnaire responses from student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik regarding the level of mental workload using the NASA-TLX method. Findings – High mental workload can have a negative impact on a person's mental health, especially for students who work while studying. Mental workload is defined as the difference between task demands and an individual's capacity to handle the task, focusing more on the mental aspect than the physical. Students who work while studying often experience fatigue, lack of time to rest and socialize, and experience sleep disorders and stress which can reduce their academic and work performance. Therefore, it is important to measure and analyze the level of mental workload experienced by student workers in order to reduce its negative impact. The method used to measure mental workload is NASA-TLX (Task Load Index). Conclusion – Student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik experience a high mental workload, with the time demand indicator (Temporal Demand/TD) having the highest weight and the level of effort (Effort/EF) getting the highest score. The time requirement (TD) indicator most dominantly influences their mental workload, while the level of frustration (FR) has the lowest influence. Overall, their average mental workload score was in the high category, namely 77.64. Research implication – This research is aimed at students who are studying while working, with the aim of measuring the level of mental load that objects experience. The load in question is a high mental workload, with indicators of time requirements (Temporal Demand/TD), level of effort (Effort/EF) and indicators of time requirements (TD), as well as levels of frustration (Frustration/FR). Limitations – The limitations of this research only include the mental workload variable on the research object (student workers)

Effect of human–machine interface infotainment systems and automated vehicles on driver distraction

AbstractDriver distraction is intricately linked to human behavior and cognitive ergonomics, as it explores how human engagement with various stimuli influences attention and decision‐making processes while driving. The main purpose of this study is to comprehensively explore whether using Human–Machine Interface infotainment systems in automated vehicles can affect driver distraction. To this end, driver distraction was measured by driving performance features (speed, lane position, and reaction time), behavioral features (fixation time and pupil dilation), physiological features (changes in oxyhemoglobin), and subjective assessment (NASA‐TLX workload). Twenty‐one participants equipped with an eye tracker and functional near‐infrared spectroscopy drove a driving simulator in the current investigation. The results revealed that interacting with the infotainment systems significantly affects the drivers' average speed (F2,40 = 13.60, p < .0001), reaction time (F2,40 = 4.74, p = .0142), fixation time (F2,40 = 88.61, p < .0001), pupil dilation (F2,28 = 3.63, p = .0356), and workload (F2,40 = 14.40, p < .0001). Moreover, driving mode significantly affects drivers' speed deviation (F2,40 = 6.12, p = .0048), standard deviation of lane position (F2,40 = 10.57, p = .0002), fixation time (F2,40 = 36.71, p < .0001), and workload (F2,40 = 28.08, p < .0001). Drawing from the findings of this article and emphasizing human‐centric design principles, researchers and engineers can craft automotive technologies that are intuitive, effective, and safer. This is vital for mitigating driver distraction and guaranteeing the beneficial influence of automated vehicles on both road safety and the overall driving experience.

Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills

To objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. We combined subjective video evaluations with objective electromyography (EMG) measurements in a hands-on hypospadias training course. Surgeons wore wireless EMG and accelerometer sensors on their dominant hand while performing tasks on ex-vivo cadaveric calf penises. The study focused on 4 skills as follows: urethral mobilization, dorsal inlay graft harvest/implantation, meatal-based flap urethroplasty, and dorsal plication. Machine learning techniques analyzed muscle activation patterns and attributes for assessing surgical precision. The course included 18 participants (10 female, 8 males; average age 40.18±8.46 years) categorized as novice (n=10, <3 years' experience), intermediate (n=5, 3-5 years), and expert (n=3, >5 years). Video evaluations did not reveal significant differences due to short-term training. However, EMG measurements showed significant reductions in average EMG power, total time, dominant frequency, and cumulative muscle workload after training. Additionally, the mean power spectral density of the EMG signal decreased notably post-training. This study presents a structured approach for hypospadias training and highlights the effectiveness of wearable sensor technology for objective skill assessment. While video evaluations did not detect significant changes, EMG data provided measurable differences in skill acquisition, suggesting that wearable sensors could enhance objective evaluations of surgical proficiency in residency programs.

The analysis of educational informatization management learning model under the internet of things and artificial intelligence

This study explores the influence of the Internet of Things (IoT) and Artificial Intelligence (AI)-enhanced learning models on student management in educational informatization management. A game-theoretic enhanced learning model is proposed to achieve this objective, incorporating resource scheduling strategies under fog computing and a student management system that integrates IoT and AI technologies. This model’s performance and the student management system are then tested. The results indicate that the fog computing-based hierarchical Q-learning (Q) model proposed in this study achieves faster convergence than a single Q model, reaching convergence after 80 training rounds, ten rounds earlier than the comparative algorithm. The model exhibits a lower average workload delay of 0.5 ms and fog node delay below 1 ms, showcasing significant advantages in terms of overall cost-effectiveness, thus minimizing service costs. The student management system has 3000 concurrent user connections, static page request times ranging from 0 to 25 s, login response time predominantly at 60 s, and a capacity to process up to 20 parallel tasks per second with zero errors. The system functionalities are fully realized, meeting usage demands effectively and achieving the highest average functional score of 9.03 for online interaction functionality. This study demonstrates the efficacy of the game-theoretic enhanced learning model in a fog computing environment and the positive impact of IoT and AI technologies on student management. The proposed student management system better caters to individual student needs, enhancing learning outcomes and experiences. The study's innovation lies in the integration of IoT technology with AI-enhanced learning models, coupled with the introduction of game-theoretic resource scheduling strategies, enabling the student management system to intelligently identify student requirements, allocate learning resources, and dynamically optimize the educational process, ultimately improving learning outcomes. This holds significant implications for enhancing education quality and promoting personalized student development.

Analysis of Mental and Physical Workload of Sehati Crackers Factory Employees

The Sehati Cracker Factory produces and sells cooked and raw crackers. The production capacity of raw crackers is 1000 kg per day for 8-9 working hours and 17 employees. The problem that occurs is that workers feel excessive physical workload so that worker performance decreases and workers cause errors, namely products become defective. The aim of this research is to measure workers' mental and physical workload, and make improvements so that workers' workload is reduced. To measure workers' mental workload using the NASA-TLX method and to measure workers' physical workload using the CVL method. Based on measurements using NASA-TLX, it shows that the average mental workload is in the high category of eleven workers and the very high category of six workers. The results of the CVL method calculation show that the greatest physical workload is felt by respondent A with a CVL value of 31.36% and respondent L with a CVL value of 38.93%. Recommendations suggest reducing physical and mental workload by adding exhaust fans, checking machines and equipment before production, using conveyance, organizing training, and providing rest areas.

Evaluation of Healthcare Operations Management using TOPSIS Method

The daily activities of the facility that have an effect on consumer satisfaction and organizational goals are referred to as healthcare operations management. The goal of healthcare program management is to raise money to keep service levels and standards at a reasonable level. Planning, coordinating, and controlling a healthcare system's activities are all parts of operations management in hospitals. It comprises both clinical and quasi-function management. Follow the operating budget, financial goals, and performance standards with economy and efficiency. Develop policies and processes that support high-quality healthcare by working together with hospital management, clinical teams, and the neighborhood. directing a group of medical specialists. financial responsibilities such as managing the revenue cycle, procuring medical supplies, and tracking patient billing, claims, and reimbursements. administer the policies and procedures of the medical facility, make sure that best practices are implemented, and deal with instances of facility non-compliance. Understanding and observing current healthcare rules and regulations requires analytical skills. Encourages employees to give their best effort to patient care. Employing, training, and delegating work to the proper employees while coming up with innovative solutions to staff members and patient issues are all examples of managerial skills. More and more complicated operations were carried out by licensed surgeons. The average functional workload rises sharply with age, peaks between the ages of 40 and 44, and then drops linearly after that. Following medical school graduation, it takes a surgeon 18 years to work as much as they can. a facility created, staffed, and outfitted for the diagnostic of illness, the medical and surgical care of the ill and injured, and their housing while undergoing these procedures. A contemporary hospital frequently doubles as a training and research facility. Outlining the steps necessary to accomplish specified objectives is the process of strategic planning in healthcare systems. All strategies have the same objective, which is to bring an organization's activities into line with its declared goal or values, despite the fact that there are several strategy kinds and degrees. Hospitals, medical equipment, diagnostic testing, telemedicine, medical tourism, outsourcing, and health insurance are all part of the healthcare industry. Due to its development, rising spending on services, and governmental and private organizations, the Indian healthcare industry is expanding quickly. assisting many departments in cooperating to accomplish the hospital's objectives. Control hiring, training, and quality control procedures for patient care. involvement in setting the budget and calculating the price of healthcare services. The first group consists of regular patients who see their doctor each month. People must continue using the healthcare system since they have a chronic sickness of some kind. "Healthy" patients fall into the second category. Providing products and services that are used to practice medicine through prophylactic, prophylaxis, rehabilitative, and palliative care is the function of the healthcare industry, commonly referred to as the healthcare industry or the health economy. The Indian government is very important in the health industry. India happens to be among the world's most populated nations, and its people need access to high-quality healthcare. The Indian government contributes significantly to funding healthcare projects and enhancing the availability and standard of services. Health care may operate in a systematic manner thanks to hospital administration, which makes it easier to supply diverse services quickly and easily. It enables better financial control for major hospitals that provide a wide variety of services by managing cash flow, making smarter investments, and regulating costs. Successful health service leaders never stop stressing how important it is to provide safe, excellent treatment that is compassionate. They make sure that customers' voices are regularly heard at all levels, and they continuously monitor patient experiences, worries, wants, and comments (both positive and negative). TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) analysis using Knowledge areas, Procedures, Medical conditions, Patient groups, Planning horizons, Levels of difficulty Alternative value, and New Karolinska, Sabbatsberg, Dander yd hospital Evaluation Parameters in value. Knowledge areas, Procedures, Medical conditions, Patient groups, Planning horizons, and Levels of difficulty. New Karolinska, Sabbatsberg, Dander yd hospital. Patient groups got the first rank whereas Medical conditions had the lowest rank.

Evaluation of Healthcare Operations Management using TOPSIS Method

The daily activities of the facility that have an effect on consumer satisfaction and organizational goals are referred to as healthcare operations management. The goal of healthcare program management is to raise money to keep service levels and standards at a reasonable level. Planning, coordinating, and controlling a healthcare system's activities are all parts of operations management in hospitals. It comprises both clinical and quasi-function management. Follow the operating budget, financial goals, and performance standards with economy and efficiency. Develop policies and processes that support high-quality healthcare by working together with hospital management, clinical teams, and the neighborhood. directing a group of medical specialists. financial responsibilities such as managing the revenue cycle, procuring medical supplies, and tracking patient billing, claims, and reimbursements. administer the policies and procedures of the medical facility, make sure that best practices are implemented, and deal with instances of facility non-compliance. Understanding and observing current healthcare rules and regulations requires analytical skills. Encourages employees to give their best effort to patient care. Employing, training, and delegating work to the proper employees while coming up with innovative solutions to staff members and patient issues are all examples of managerial skills. More and more complicated operations were carried out by licensed surgeons. The average functional workload rises sharply with age, peaks between the ages of 40 and 44, and then drops linearly after that. Following medical school graduation, it takes a surgeon 18 years to work as much as they can. a facility created, staffed, and outfitted for the diagnostic of illness, the medical and surgical care of the ill and injured, and their housing while undergoing these procedures. A contemporary hospital frequently doubles as a training and research facility. Outlining the steps necessary to accomplish specified objectives is the process of strategic planning in healthcare systems. All strategies have the same objective, which is to bring an organization's activities into line with its declared goal or values, despite the fact that there are several strategy kinds and degrees. Hospitals, medical equipment, diagnostic testing, telemedicine, medical tourism, outsourcing, and health insurance are all part of the healthcare industry. Due to its development, rising spending on services, and governmental and private organizations, the Indian healthcare industry is expanding quickly. assisting many departments in cooperating to accomplish the hospital's objectives. Control hiring, training, and quality control procedures for patient care. involvement in setting the budget and calculating the price of healthcare services. The first group consists of regular patients who see their doctor each month. People must continue using the healthcare system since they have a chronic sickness of some kind. "Healthy" patients fall into the second category. Providing products and services that are used to practice medicine through prophylactic, prophylaxis, rehabilitative, and palliative care is the function of the healthcare industry, commonly referred to as the healthcare industry or the health economy. The Indian government is very important in the health industry. India happens to be among the world's most populated nations, and its people need access to high-quality healthcare. The Indian government contributes significantly to funding healthcare projects and enhancing the availability and standard of services. Health care may operate in a systematic manner thanks to hospital administration, which makes it easier to supply diverse services quickly and easily. It enables better financial control for major hospitals that provide a wide variety of services by managing cash flow, making smarter investments, and regulating costs. Successful health service leaders never stop stressing how important it is to provide safe, excellent treatment that is compassionate. They make sure that customers' voices are regularly heard at all levels, and they continuously monitor patient experiences, worries, wants, and comments (both positive and negative). TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) analysis using Knowledge areas, Procedures, Medical conditions, Patient groups, Planning horizons, Levels of difficulty Alternative value, and New Karolinska, Sabbatsberg, Dander yd hospital Evaluation Parameters in value. Knowledge areas, Procedures, Medical conditions, Patient groups, Planning horizons, and Levels of difficulty. New Karolinska, Sabbatsberg, Dander yd hospital. Patient groups got the first rank whereas Medical conditions had the lowest rank.

Estimating the Relationship Between Nurse Staffing and Medication Pass Workload Using National Barcode Data.

Measuring and assessing the relationship between inpatient nurse staffing and workload across a national health system is difficult due to challenges in systematically observing inpatient workload at the unit level. The objective of this study was to apply a novel measure of inpatient nurse workload to estimate the relationship between inpatient nurse staffing and nurse workload at the unit level during a key nursing activity: the peak-time medication pass. A retrospective observational study was conducted in the Veterans Health Administration, the largest employer of nurses in the U.S. The sample included all patients (n= 1,578,399 patient days) admitted to 311 non-intensive care unit inpatient acute care units in 112 hospitals in 2019 (104,588 unit days). Staffing was measured as the unit-level, nurse-to-patient ratio, and workload was measured using average time (duration) for RNs to complete the peak-time medication pass. We found a negative relationship between the RN-to-patient ratio and average peak time medication pass duration after adjusting for unit-level patient volume and average patient severity of illness and other unit-level factors. This relationship was non-linear: the marginal effect of staffing on workload decreased as staffing increased. As unit-level nurse staffing increased, average RN workload decreased. This result suggests that interventions to improve nurse staffing may have larger non-linear effects for units with lower staffing levels. Understanding the effect of differing staffing decisions on variations in nursing workload is critical for adopting models of care that effectively use scarce staffing resources and contribute to retaining nurses in the inpatient workforce. This work provides evidence that peak time medication pass duration is a valid process-based measure of workload and highlights the potential diminishing returns to increasing staffing.

Current and future workforce of general internal medicine in Switzerland: a cross-sectional study.

General internal medicine is a crucial element in healthcare systems. Understanding how many people are and will be working in this field is important to maintain and improve quality for patients in healthcare systems. This can provide a basis for political decisions. We conducted a cross-sectional study to analyse the current and future workforce of generalists (general practitioners and internists in hospitals) in Switzerland. The Swiss Society of General Internal Medicine (SSGIM) distributed a survey to all members. Respondents were asked about their current average workload in 2023 and planned workload in 2033. The responses were used to calculate full-time equivalent (FTE) for the current and future workforce of generalists and to extrapolate FTE for all active SSGIM members. To model the demand by 2033, we derived different scenarios. Of all 6,232 active SSGIM members, 2,030 (33%) participated: 46% female, 25% (largest age group) 56-65 years old, 19% still in postgraduate training. The average workload in 2023 was 78% for female and 87% for male generalists; the FTE extrapolated to all active SSGIM members in 2023 was 5,246. By 2033, 1,935 FTEs (36%) will retire, 502 FTEs (10%) will reduce their workload, 116 FTEs (2%) will increase their workload and 2,800 FTEs (53%) will remain in the workforce with the same workload as in 2023. To maintain the same workforce as in 2023, 2,321 new FTEs (44%) will be needed by 2033. To fill this gap of 232 FTE new generalists per year, we modelled different scenarios with assumptions of interest, workload, migration and dropouts. Within only one decade, 44% of the current workforce of generalists will disappear, mainly due to retirement and decreased workload. To fill this gap, various scenarios need to be incorporated. Politicians are called upon to create the political framework to create attractive training and working conditions for generalists to address the future demand for healthcare services.

Staffing and Workload in Primary Care Facilities of Selected Geographically Isolated and Disadvantaged Communities in the Philippines.

Staffing shortages and health inequities are persistent barriers in the Philippines toward achieving universal health care. To ensure an adequate and responsive health workforce, there is a need to evaluate the Human Resources for Health (HRH) status across health facilities, particularly those in underserved communities. Hence, this study aims to determine the staffing requirements and workload pressure among primary care facilities in selected geographically isolated and disadvantaged areas (GIDAs) in the Philippines. The study utilized the workload indicators of staffing need (WISN) methodology from the World Health Organization to determine the staffing and workload situation among three health worker cadres (physicians, nurses, and midwives) in the study sites. Particularly, six primary care facilities (four rural health units and two community hospitals) located in Surigao del Norte were involved in the study. WISN-related data (health service statistics, available working time, and health professionals' workload components) were collected through records review, focus group discussions, and key informant interviews. The WISN software was used to analyze the staffing levels and workload pressure in the selected facilities. A total of 40 health workers, including physicians (n = 5, 13%), nurses (n = 21, 52%), and midwives (n = 14, 35%) participated in the study. The findings noted varying levels of staffing and workload pressures among the three cadres in selected primary care facilities, which were influenced by several factors. Particularly, health facilities with additional human resources obtained from deployment programs indicated adequate staffing and low to normal workload pressures. However, further analysis revealed potential HRH maldistribution and reliance on the temporary nature of the staff augmentation program in delivering primary care services, which need to be addressed to optimize health workforce planning. Service workload may also have been impacted by the temporary closure of health facilities due to disasters. Among the few cadres that reported staffing shortage and high workload pressure, these were due to higher service demands, increased task delegation, and inadequate service coordination. Hence, context-specific challenges and situational factors in GIDAs need to be considered when determining the staffing and workload requirements. There is a need to improve the capacities of health facilities and local government units (LGUs) to engage in evidence-based HRH planning through the WISN methodology. Doing so could improve staffing and workload distribution among health care facilities in the country. Moreover, interorganizational collaboration (DOH, LGUs, and health facilities) should be strengthened to improve delineation and prevent duplication/omission of health services, rationalize HRH distribution and augmentation, and streamline the priority health services based on the local contextual factors.

Workload as a predictor of radiographer preliminary image evaluation accuracy.

Despite a demonstrated high accuracy and reported successful implementations, radiographer preliminary image evaluation (PIE) has been slow and infrequent in its rollout across Australia. A key barrier reported to hamper radiographer PIE service implementation is lack of adequate time to review radiographs and provide an accurate interpretation. This study sought to conduct a correlational analysis between radiographer imaging workload and PIE service accuracy. A total of 45,373 exams and 1152 PIE comments evenly distributed each month from January 1, 2022, to December 31, 2022, were reviewed. PIE comments were assessed for consistency with the radiologist's report. The imaging workload (average exams completed per hour) was separated into three, eight-hour 'shifts' based on time of imaging. Correlational analysis was performed using linear regression models and assessed for normality using the Shapiro-Wilks test. The study reported no significant linear association between increasing average workload and reduced service accuracy (P = 0.136). It was however noted that when the average workload increased beyond 7 exams/hour, average service accuracy for PIE was always below 85%. This study has demonstrated that, although perceived, there is no statistically significant correlation between x-ray imaging workload and radiographer PIE service accuracy. Consideration of this correlation to be a significant barrier to participation in such a service was not reported at this site.

"…because the social work never ends": a qualitative study exploring how NGOs responded to emerging needs while upholding responsibility to HIV prevention and treatment during the war in Ukraine.

Since the onset of the Russian invasion on 24 February 2022, the health system in Ukraine has been placed under tremendous pressure, with damage to critical infrastructure, large losses of human resources, restricted mobility and significant supply chain interruptions. Based on a longstanding partnership between the Ukrainian Institute for Social Research after Oleksandr Yaremenko (UISR after O. Yaremenko) and the Institute for Global Public Health at the University of Manitoba, we explore the impact of the full-scale war on non-governmental organizations (NGOs, including charitable organizations) providing services for key population groups in Ukraine. We conducted in-depth qualitative interviews with key representatives from NGOs working with key population groups (i.e., people living with HIV, sex workers, men who have sex with men, people who inject drugs and transgender people) throughout Ukraine. Members of the UISR after O. Yaremenko research team recruited participants from organizations working at national, regional and local levels. The research team members conducted 26 interviews (22 with women and four with men) between 15 May and 7 June 2023. Interviews were conducted virtually in Ukrainian and interpretively analysed to draw out key themes. Applying Roels etal.'s notion of "first responders", our findings explore how the full-scale war personally and organizationally impacted workers at Ukrainian NGOs. Despite the impacts to participants' physical and mental health, frontline workers continued to support HIV prevention and treatment while also responding to the need for humanitarian aid among their clients and the wider community. Furthermore, despite inadequate pay and compensation for their work, frontline workers assumed additional responsibilities, thereby exceeding their normal workload during the extraordinary conditions of war. NGOs play a vital role as responders, adapting their services to meet the emergent needs of communities during structural shocks, such as war. There is an urgent need to support NGOs with adequate resources for key population service delivery and to increase support for their important role in humanitarian aid.

The Role of Electrocardiographic Exercise Testing for the Possibility of Permanent Pacemaker Implantation in Patients with Sinus Bradycardia.

Study on the role of electrocardiographic (ECG) exercise testing for the possibility of permanent pacemaker implantation (PPI) in patients with sinus bradycardia (SB). Cross-sectional descriptive, prospective study. The study on 60 patients with SB below 50 beats/minute on 12-lead electrocardiogram at rest, with or without symptoms of SB, conducted at the Vietnam National Heart Institute and Hanoi Heart Hospital from January 2020 to September 2021. Sixty patients with SB were studied, 36 male (60%) and 24 female patients (40%), p > 0.05. The average age was 55.12 ± 13.89 years old. Maximum exercise capacity (MEC) is low and only reaches 7.78 ± 3.59 metabolic equivalents (METs); Not reaching 85% of predicted MEC accounts for 53.5%; Maximum exercise time is 10.53 ± 0.46 minutes; Impaired heart rate (HR) variability in patients with SB is high: Chronotropic Index <0.8 accounts for 53.5%, not reaching 85% of predicted HR max accounts for 45%. The average HR max was 129.90 ± 29.22 beats per minute (BPM). The average maximum workload systolic blood pressure was 155.23 ± 20.59 mmHg. The average value of maximum exercise diastolic blood pressure was 88.10 ± 9.11 mmHg. The HR decreased by 27.87 ± 16.82 BPM in the first minute. Not achieving 85% of predicted MEC (p = 0.062), so it is not an independent factor predicting the ability for PPI. Only the HR variability index <0.8 is an independent predictor for PPI in bradycardic patients, which has OR = 21.521 (95% CI: 2.27-04.34, p < 0.05). Results can be seen that Chronotropic Index <0.8 is an important marker for physicians to decide on PPI in ECG during exercise testing in SB patients and is a potential prognostic factor for the need for PPI.

Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study

BackgroundDuring the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. ObjectiveTo determine whether hospital differences in pre-pandemic and during pandemic nursing resources—average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition—explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. MethodsThis is a cross-sectional study of 87,936 Medicare beneficiaries (65–99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. ResultsThe mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12–1.28], p < 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09–1.21], p < 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. ConclusionsPatients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.

Assessing the job preferences of senior medical students for mandatory service: a discrete choice experiment.

To investigate the job preferences of senior medical students for mandatory service as general practitioners using discrete choice experiment. Health workforce is directly associated with health service coverage and health outcomes. However, there is a global shortage of healthcare workers (HCWs) in rural areas. Discrete choice experiments can guide the policy and decision-makers to increase recruitment and retention of HCWs in remote and rural areas by determining their job preferences. The aim of this study is to investigate job preferences of senior medical students for mandatory service as general practitioners. This cross-sectional survey was conducted among 144 medical students. To estimate students' preferences for different levels of job attributes, a mixed logit model was utilised. Simulations of job uptake rates and willingness to pay (WTP) estimates were computed. All attributes had an impact on the job preferences of students with the following order of priority: salary, workload, proximity to family/friends, working environment, facility and developmental status. For a normal workload and a workplace closed to family/friends which were the most valued attributes after salary, WTPs were 2818.8 Turkish lira (TRY) ($398.7) and 2287.5 TRY ($323.6), respectively. The preference weights of various job characteristics were modified by gender, the presence of a HCW parent and willingness to perform mandatory service. To recruit young physicians where they are most needed, monetary incentives appear to be the most efficient intervention. Non-pecuniary job characteristics also affected job preferences. Packages of both monetary and non-monetary incentives tailored to individual characteristics would be the most efficient approach.

Development and status quo of digestive endoscopy in China: An analysis based on the national census in 2013 and 2020.

Technique and practice of digestive endoscopy are undergoing speedy development all over the world. This study aimed to evaluate its status quo and development in China. All hospitals performing digestive endoscopy in mainland China participated in the national census in 2013 and 2020. Retrospective data of hospitals, endoscopists, volumes, and qualities were collected via an online structured questionnaire, and its accuracy and rationality were verified by logical tests and manual reviews. Data from other countries were used to compare with that of China. From 2012 to 2019, the number of hospitals performing digestive endoscopy increased from 6,128 to 7,470 (1.22-fold), in which primary healthcare played a minor role. The median hospitals per 100,000 inhabitants per provincial region increased from 0.49 (IQR, 0.39-0.57) to 0.55 (IQR, 0.49-0.63). The endoscopists increased from 26,203 to 39,638 (1.51-fold), but their average workload even expanded. Overall volume increased from 28.8 million to 44.5 million (1.55-fold), and most types of endoscopic procedures recorded a high growth rate. Contrastingly, the specific utilization rates were low and paled in comparison with some developed countries. Nationwide, regional utilization rates showed a significant correlation with GDP per capita (P <0.001). Overall qualities of digestive endoscopy were excellent, but certain results of quality indicators posed a huge challenge, such as the detection rates of adenoma and early cancers. Impressive progress has been made in digestive endoscopy with rapidly expanding economy in China. However, primary healthcare, utilization rates, and income-related inequality of regional services were needed to be improved to promote public health better.

Workload Measurement Method for Manned Vehicles in Multitasking Environments

Workload (WL) measurement is a crucial foundation for human–machine collaboration, particularly in high-stress multitasking environments such as manned vehicle operations during emergencies, where operators often experience High Workload (HWL) levels, increasing the risk of human error. To address this challenge, this study introduces a novel WL measurement method that combines Task Demand Load (TDL) and Subject Load Capacity (SLC) to quantitatively assess operator workload. This method was validated through experiments with 45 subjects using the Environmental Control and Atmospheric Regeneration (ECAR) system. The statistical results showed that as the designed WL levels increased, the Average Workload (AWL), the NASA-TLX score, and the work time percentage increased significantly, while the task accuracy and the fixation duration decreased significantly. These results also revealed the impact of WL levels on human responses (such as subjective feeling, work performance, and eye movement). In addition, very strong correlations were found between AWL measurements and NASA-TLX scores (r = 0.75, p &lt; 0.01), task accuracy (r = −0.73, p &lt; 0.01), and work time percentage (r = 0.97, p &lt; 0.01). Overall, these results proved the effectiveness of the proposed method for measuring WL. On this basis, this study defined WL thresholds by integrating task accuracy with AWL calculations, providing a framework for the dynamic management of task allocation between humans and machines to maintain operators within optimal WL ranges.

Analysis of the association between high workload and musculoskeletal pain in public school teachers according to physical activity level.

A high workload has been associated with musculoskeletal pain in public school teachers. However, the hypothesis of the present study was that physical activity (PA) practice is able to attenuate this association. To analyze the associations between high workload with musculoskeletal pain according to PA levels in public school teachers. Teachers (n = 239) from 13 public schools were evaluated. Workload was assessed using a Likert scale in which teachers reported their perception of their work routine as: very low, low, regular, high, and very high. Musculoskeletal pain and PA were assessed using questionnaires. Multivariate logistic regression models were used to investigate the association of high workload with PA levels and musculoskeletal pain in different body regions, compared to participants with normal workload, adjusted by sex, age, and socioeconomic status. A high workload was associated with higher chances of reporting pain in the wrists and hands (OR = 3.55; 95% CI = 1.27-9.89), knee (OR = 3.09; 95CI% = 1.09-8.82), and feet and ankles (OR = 3.16; 95% CI = 1.03-9.76) in less active teachers. However, these associations were not observed in teachers considered more active. PA practice is able to act as a good protector against musculoskeletal pain in teachers, even in individuals with a high workload.

ANALISIS BEBAN KERJA PADA BAGIAN PRODUKSI DENGAN MENGGUNAKAN METODE WORKLOAD ANALYSIS (WLA) DI CV. SALANDO

CV. Salando is a home industry engaged in the field of convection located in the Pandeglang regency. The company's production consists of several types of models, namely leather shoes and flat sandals. The issue at CV. Salando indicates a production delay in the sewing department due to a lack of manpower at the sewing station, where only one worker is present, resulting in delays in production activities at the finishing station. In this research, a workload analysis is conducted to determine the level of workload at CV. Salando using the Work Load Analysis Method. The purpose of this study is to understand the workload experienced by the workers and to determine the optimal number of workers. Six workers were observed in this study, including 3 workers at the pattern-making station, 1 worker at the sewing station, and 2 workers at the finishing station. The results of the study recommend adding 1 worker to each station, resulting in an average workload of 86.58% at the pattern-making station, 66.24% at the sewing station, and 75.02% at the finishing station.

Wearable Devices and Digital Biomarkers for Optimizing Training Tolerances and Athlete Performance: A Case Study of a National Collegiate Athletic Association Division III Soccer Team over a One-Year Period.

Wearable devices in sports have been used at the professional and higher collegiate levels, but not much research has been conducted at lower collegiate division levels. The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season. The results showed that over the course of a season, (1) the average match workload (432 ± 47.7) was 1.5× greater than the average training workload (252.9 ± 23.3) for all positions, (2) the forward position showed the lowest workloads throughout the season, and (3) the highest mean workload was in week 8 (370.1 ± 177.2), while the lowest was in week 4 (219.1 ± 26.4). These results provide the impetus to enable the interoperability of data gathered from wearable devices into data management systems for optimizing performance and health.