Objective alertness, rather than sleep duration, is associated with burnout and depression: A national survey of Japanese physicians.

Approximately 40% of Japanese physicians report working more than 960 hr of overtime annually, with 10% exceeding 1860 hr. To protect their health, annual overtime limits went into effect in 2024. The objective of this study was to investigate associations of self-reported sleep duration with psychological health and objective alertness. This was a cross-sectional National Survey for The Work Style Reform of Long Working Physicians. Physicians self-reported daily sleep duration, burnout (Abbreviated Maslach Burnout Inventory), depression (Center for Epidemiologic Studies Depression Scale) and traffic accidents. Alertness was then evaluated using the brief Psychomotor Vigilance Test. Of 20,382 physicians invited, 1226 completed the survey and brief Psychomotor Vigilance Test. Daily sleep duration was inversely associated with weekly work hours (ß = -5.4; 95% confidence interval -6.8 to -4.0, p < 0.0001). Sleep duration < 6 hr and ≥ 8 hr per day was associated with slower responses on the brief Psychomotor Vigilance Test (adjusted p < 0.05). An additional 10 hr worked per week was associated with a 0.40 point (95% confidence interval 0.08-0.72) increase in burnout severity and a 1.7% (95% confidence interval 0.1-3.3%) increase in odds of reporting a traffic accident. Increased brief Psychomotor Vigilance Test lapses, indicating lower alertness, were associated with worse symptoms of depression (ß = 0.23 points; 95% confidence interval 0.14-0.31, p < 0.0001) and burnout (ß = 0.25 points; 95% confidence interval 0.13-0.36, p < 0.0001). This study emphasizes the importance of sufficient sleep to maintain alertness, and supports limiting work hours for Japanese physicians to protect psychological health. Performance on the brief Psychomotor Vigilance Test may be a useful indicator of psychological health.

Work hours and the risk of hypertension: the case of Indonesia.

BACKGROUND: Individuals working excessive hours is a worldwide phenomenon. In Indonesia, over 32 million people work more than 40 h per week, contributing to around 26% of the workforce. Excessive working may affect health, increasing the risk of cardiovascular diseases such as hypertension. Hypertension affected around 34% of Indonesian adults, approximately 63.3 million people and led to about 427,000 deaths in 2018, and the prevalence remains high at 29.2% in 2023. This study aims to analyze the relationship between work hours and the risk of hypertension among working individuals in Indonesia. METHODS: This study used a pooled cross-sectional data from the Indonesian Family Life Survey (IFLS) wave 4 (2007) and wave 5 (2014) and performed a logit regression analysis to examine the likelihood of a working individual having hypertension based on the individual's work hours. A dummy variable of hypertension is created based on the result of blood pressure measurement. The sample consists of 22,500 working individuals in Indonesia. This study controlled for job characteristics, sociodemographic status and health-behavioral risk factors such as BMI and smoking behavior, and performed additional regression analyses for alternative models to check for robustness. RESULTS: Our findings showed that there is a higher probability of having hypertension for workers who work longer hours by 0.06% points for each additional hour of work (p < 0.01). Other factors such as physical activity and smoking behavior have also been demonstrated to be significantly correlated to the risk of hypertension. CONCLUSIONS: This study revealed a positive relationship between work hours and hypertension. Although this study cannot suggest causality, the strongly significant correlation may provide an idea and an overview regarding the risk of hypertension among working individuals in Indonesia. The Indonesian government could consider conducting further studies to implement and promote flexible working arrangements initiatives and incentive programs to improve workers' health outcomes.

Work hours, weekend working, nonstandard work schedules and sleep quantity and quality: findings from the UK household longitudinal study.

BACKGROUND: Atypical temporal work patterns such as working longer than the standard 35-40 h/ week, weekend working, and nonstandard work schedules (i.e. outside of the typical 9-5, including but not restricted to shiftwork) are increasingly prevalent in the UK. Aside from occupation-specific studies, little is known about the effects of these atypical temporal work patterns on sleep among workers in the UK, even though poor sleep has been linked to adverse health problems, lower workplace productivity, and economic costs. METHOD: We used regression models to investigate associations between three types of atypical temporal work patterns (long and short weekly work hours, weekend working, and nonstandard schedules) and sleep duration and disturbance using data from over 25,000 employed men and women from 2012-2014 and/or 2015-2017 in the UK Household Longitudinal Study, adjusting for potential confounders and psychosocial work factors. RESULTS: We found that relative to a standard 35-40 h/week, working 55 h/week or more was related to short sleep (less than 7 h/night) and sleep disturbance. Working most/all weekends compared to non-weekends was associated with short sleep, long sleep (more than 8 h/night), and sleep disturbance, as was working nonstandard schedules relative to standard schedules (fixed day-time schedules). Further analyses suggested some gender differences. CONCLUSIONS: These results should prompt employers and policymakers to recognise the need for rest and recovery, consider how the timing and scheduling of work might be improved to better support workers' health and productivity, and consider appropriate compensation for anyone required to work atypical temporal work patterns.

Perceived impact of the COVID-19 pandemic on residency training in American College of Veterinary Anesthesia and Analgesia programs in North America: a quantitative survey.

OBJECTIVE: To characterize the extent of the impact of the COVID-19 pandemic on aspects of the anesthesia residency experience from the perspective of American College of Veterinary Anesthesia and Analgesia (ACVAA) mentors and trainees. This includes the residency interview process, didactic training and availability and variety of clinical cases for resident learning. STUDY DESIGN: Cross-sectional, online, anonymous voluntary survey. SAMPLE POPULATION: A total of 58 respondents, representing 30 residency program mentors and 28 residents. METHODS: Surveys were distributed by email to 94 residency program mentors and 70 residents, representing programs and residents registered with the ACVAA during the years of 2019-2021. Anonymous links to an online survey were provided via a link embedded in the email. Questions included perceived impacts (-5 to +5 scale) on didactic and clinical training, case distribution, workload, residency application and selection process, and mental health. Responses were summarized with descriptive statistics [median (IQR) or mean ± SD]. RESULTS: The overall survey response rate was 31.9% (30/94) and 40.0% (28/70) for resident program mentors and residents, respectively. There was a negative perceived impact on overall residency training reported: -1.0 (IQR -2.0 to 0) for program mentors and -1.5 ± 1.5 for residents. The reported perceived impact of travel limitations on case log completion was -2.0 (IQR -4.0 to -1.0) for program mentors and -2.4 ± 2.0 for residents. Program mentors and residents had incongruent feelings on the impact of the pandemic on work hours, with residents reporting a perceived increase in work hours [+2.1 ± 2.1 versus 0 (IQR -1.0 to 0)]. CONCLUSIONS: Residency program mentors and residents generally agreed that the COVID-19 pandemic had negatively impacted multiple aspects of residency interview and training process. A broader, objective analysis of veterinary anesthesia training programs is required to fully elucidate the scale of the impact on veterinary anesthesia training.

Balancing act: exploring work-life balance among nursing home staff working long shifts.

BACKGROUND: Nursing home staff often face challenges in achieving a satisfactory work-life balance, particularly because of the nature of shift work. While long shifts offer extended periods off work, their impact on the delicate balance between work and leisure remains understudied in the context of nursing homes. This study investigated the experiences of nursing home staff in Norway working long shifts lasting 12-14 h and their perceptions of the balance between family life and work. METHODS: Eighteen nursing home staff members were interviewed following a semi-structured qualitative approach. The participants worked in three types of long shifts and provided insights into their experiences, addressing issues such as work hours, shift patterns, and work-family balance. RESULTS: The study revealed four main categories: (1) impact of long shifts on family life-the highs and lows; (2) maximizing time off with long shifts; (3) reducing job stress with long shifts; and (4) full-time work leads to predictable hours and stable income. The participants emphasised the distinct separation between work and leisure during long shifts, acknowledging limited social life during working periods but appreciating extended periods off. Family life posed challenges, especially with young children, but the participants found benefits in the longer periods of family time during days off. Longer rest periods and reduced commuting time were perceived as advantages of long shifts, contributing to better sleep, reduced stress and overall well-being. Long shifts also allowed for more predictable working hours and income, supporting a stable work-life balance. CONCLUSION: Balancing work and family life involves more than just the number of hours spent at work; it also encompasses the quality of those hours both at work and at home. Our findings underscore the complex interplay between work and family life for nursing home staff working long shifts. While challenges exist, benefits such as extended time off, improved sleep, reduced stress, and predictable working hours contribute positively to their work-life balance. Long shifts in nursing homes offer a unique perspective on achieving work-life balance, revealing both the challenges and advantages inherent in such schedules. Understanding the experiences of nursing home staff in this context can inform future innovations in shift scheduling, promoting a more balanced and sustainable work environment for healthcare professionals. For some healthcare staff, extended shifts can lead to a better work-life balance.

Do 20-minute neighbourhoods moderate associations between work and commute hours with food consumption?

OBJECTIVE: To examine associations between work and commute hours with food consumption and test whether neighbourhood type (20-minute neighbourhood (20MN)/non-20MN) moderate associations. DESIGN: Cross-sectional analysis of the Places and Locations for Activity and Nutrition study (ProjectPLAN). Exposures were work hours (not working (0 h), working up to full-time (1-38 h/week), working overtime (> 38 h/week)), and among those employed, combined weekly work and commute hours (continuous). Outcomes were usual consumption of fruit, vegetables, takeaway food, snacks and soft drinks, and number of discretionary food types (takeaway, snacks and soft drinks) consumed weekly. Generalised linear models were fitted to examine associations between each exposure and outcome. The moderating role of neighbourhood type was examined through interaction terms between each exposure and neighbourhood type (20MN/non-20MN). SETTING: Melbourne and Adelaide, Australia, 2018-2019. PARTICIPANTS: Adults ≥ 18 years old (n 769). RESULTS: Although all confidence intervals contained the null, overall, patterns suggested non-workers and overtime workers have less healthy food behaviours than up-to-full-time workers. Among those employed, analysis of continuous work and commute hours data suggested longer work and commute hours were positively associated with takeaway consumption (OR = 1·014, 95 % CI 0·999, 1·030, P-value = 0·066). Patterns of better behaviours were observed across most outcomes for those in 20MN than non-20MN. However, differences in associations between work and commute hours with food consumption across neighbourhood type were negligible. CONCLUSIONS: Longer work and commute hours may induce poorer food behaviours. There was weak evidence to suggest 20MN moderate associations between work and commute hours with food consumption, although behaviours appeared healthier for those in 20MN.

Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study.

BACKGROUND: Traditional methods for investigating work hours rely on an employee's physical presence at the worksite. However, accurately identifying break times at the worksite and distinguishing remote work outside the worksite poses challenges in work hour estimations. Machine learning has the potential to differentiate between human-smartphone interactions at work and off work. OBJECTIVE: In this study, we aimed to develop a novel approach called "probability in work mode," which leverages human-smartphone interaction patterns and corresponding GPS location data to estimate work hours. METHODS: To capture human-smartphone interactions and GPS locations, we used the "Staff Hours" app, developed by our team, to passively and continuously record participants' screen events, including timestamps of notifications, screen on or off occurrences, and app usage patterns. Extreme gradient boosted trees were used to transform these interaction patterns into a probability, while 1-dimensional convolutional neural networks generated successive probabilities based on previous sequence probabilities. The resulting probability in work mode allowed us to discern periods of office work, off-work, breaks at the worksite, and remote work. RESULTS: Our study included 121 participants, contributing to a total of 5503 person-days (person-days represent the cumulative number of days across all participants on which data were collected and analyzed). The developed machine learning model exhibited an average prediction performance, measured by the area under the receiver operating characteristic curve, of 0.915 (SD 0.064). Work hours estimated using the probability in work mode (higher than 0.5) were significantly longer (mean 11.2, SD 2.8 hours per day) than the GPS-defined counterparts (mean 10.2, SD 2.3 hours per day; P<.001). This discrepancy was attributed to the higher remote work time of 111.6 (SD 106.4) minutes compared to the break time of 54.7 (SD 74.5) minutes. CONCLUSIONS: Our novel approach, the probability in work mode, harnessed human-smartphone interaction patterns and machine learning models to enhance the precision and accuracy of work hour investigation. By integrating human-smartphone interactions and GPS data, our method provides valuable insights into work patterns, including remote work and breaks, offering potential applications in optimizing work productivity and well-being.

Overtime and alertness of rotating-shift nurses: An observational study using ecological momentary assessment.

AIMS AND OBJECTIVES: This study aimed to determine the effect of overtime on alertness at work among rotating-shift nurses in South Korea and to investigate whether these effects of overtime vary across the different types of shifts. BACKGROUND: Nurse overtime is prevalent in healthcare settings to manage nursing shortages and staffing needs; however, it negatively affects patient and nurse outcomes. Furthermore, little attention has been paid to the effects of previous overtime shifts and overtime for consecutive shifts on alertness during work. DESIGN: A prospective observational study was employed. The study followed STROBE checklist for observational studies. METHODS: Data were collected between June 2019 and February 2020 from 82 nurses who worked in acute care hospitals. An ecological momentary assessment was used to capture real-time data of overtime and alertness. Alertness scores were estimated using the sleep/wake data measured by an actigraph. Mixed-effect models were employed to investigate the association between overtime and alertness. RESULTS: A majority of the shift nurses worked overtime. Episodes of a decline in alertness scores to the level of increased accident or serious error risk (alertness score ≤80) were most frequently seen during night shifts (98.9%), followed by day (59.8%) and evening shifts (10.1%). Previous-day overtime hours and consecutive overtime days were associated with decreased alertness scores during work. A significantly positive correlation was observed between alertness scores ≤80 and previous-day overtime hours and consecutive overtime days in all shifts. CONCLUSIONS: The study findings indicate that a majority of nurses who work overtime experience decreased alertness while on duty. RELEVANCE TO CLINICAL PRACTICE: Policy development at the government, organisational and unit level is needed to guarantee adequate rest for shift nurses by adjusting work schedules and assignments and limiting overtime.

Parental work hours and household income as determinants of unhealthy food and beverage intake in young Australian children.

OBJECTIVE: This study examined parental work hours and household income as determinants of discretionary (energy dense, nutrient poor) food and beverage intake in young children, including differences by eating occasion. DESIGN: Secondary analysis of cross-sectional data. Three hierarchical regression models were conducted with percent energy from discretionary food and beverages across the day, at main meals, and at snack times being the outcomes. Dietary intake was assessed by 1x24-hour recall and 1-2x24-hour food record(s). Both maternal/paternal work hours were included, and total household income. Covariates included household, parent and child factors. SETTING: Data from the NOURISH/SAIDI studies were collected between 2008-13. PARTICIPANTS: Participants included 526 mother-child dyads (median(IQR) child age 1.99(1.96,2.03) years). Forty-one percent of mothers did not work while 57% of fathers worked 35-40 hours/week. Most (85%) households had an income of ≥$50k AUD/year. RESULTS: Household income was consistently inversely associated with discretionary energy intake (ß= -0.12 to -0.15). Maternal part-time employment (21-35 hours/week) predicted child consumption of discretionary energy at main meals (ß=0.10, p=0.04). Paternal unemployment predicted a lower proportion of discretionary energy at snacks (ß= -0.09, p=0.047). CONCLUSIONS: This work suggests that household income should be addressed as a key opportunity-related barrier to healthy food provision in families of young children. Strategies to reduce the time burden of healthy main meal provision may be required in families where mothers juggle longer part-time working hours with caregiving and domestic duties. The need to consider the role of fathers and other parents/caregivers in shaping children's intake was also highlighted.

The development and initial validation of a new working time scale for full-time workers with non-standard schedules.

BACKGROUND: Working time characteristics have been used to link work schedule features to health impairment; however, extant working time exposure assessments are narrow in scope. Prominent working time frameworks suggest that a broad range of schedule features should be assessed to best capture non-standard schedules. The purpose of this study was to develop a multi-dimensional scale that assesses working time exposures and test its reliability and validity for full-time workers with non-standard schedules. METHODS: A cross-sectional study was conducted using full-time, blue-collar worker population samples from three industries - transportation (n = 174), corrections (n = 112), and manufacturing (n = 99). Using a multi-phased approach including the review of scientific literature and input from an advisory panel of experts, the WorkTime Scale (WTS) was created and included multiple domains to characterize working time (length, time of day, intensity, control, predictability, and free time). Self-report surveys were distributed to workers at their workplace during company time. Following a comprehensive scale development procedure (Phase 1), exploratory factor analysis (EFA) (Phase 2) and, confirmatory factor analysis (CFA) (Phase 3; bivariate correlations were used to identify the core components of the WTS and assess the reliability and validity (Phase 4) in three samples. RESULTS: Phase 1 resulted in a preliminary set of 21 items that served as the basis for the quantitative analysis of the WTS. Phase 2 used EFA to yield a 14-item WTS measure with two subscales ("Extended and Irregular Work Days (EIWD)" and "Lack of Control (LOC)"). Phase 3 used CFA to confirm the factor structure of the WTS, and its subscales demonstrated good internal consistency: alpha coefficients were 0.88 for the EIWD factor and 0.76-0.81 for the LOC factor. Phase 4 used bivariate correlations to substantiate convergent, discriminant, and criterion (predictive) validities. CONCLUSIONS: The 14-item WTS with good reliability and validity is an effective tool for assessing working time exposures in a variety of full-time jobs with non-standard schedules.

Cost of lost work hours associated with the COVID-19 pandemic-United States, March 2020 through February 2021.

INTRODUCTION: Of the 22.8 million coronavirus disease 2019 (COVID-19) cases recorded in the United States as of March 21, 2021 with age information, three-fourths were in the workingage group, indicating the potentially high economic impact of the pandemic. This study estimates the cost of lost work hours associated with the COVID-19 pandemic between March 2020 through February 2021. METHOD: I used a before-and-after analysis of data from the 2017-2021 Current Population Survey to estimate the costs of lost work hours due to economic, workers' own health, and other reasons, from the COVID-19 pandemic. RESULTS: Across March 2020 through February 2021 (a year since the start of the pandemic in the United States), the estimated cost of lost work hours associated with the COVID-19 pandemic among US full-time workers was $138 billion (95% confidence interval [CI]: $73.4 billion-$202.46 billion). Shares of the costs attributed to economic, workers' own health, and other reasons were 33.7%, 13.7%, and 52.6%, respectively. CONCLUSION: The $138 billion cost of lost work hours associated with the COVID-19 pandemic during March 2020 through February 2021 highlights the economic consequences of the pandemic, as well as indicating the potential benefit of public health and safety interventions used to mitigate COVID-19 spread.

Approaches to managing work-related fatigue to meet the needs of American workers and employers.

On September 13-14, 2019, the National Institute for Occupational Safety and Health (NIOSH) hosted a national forum entitled "Working hours, sleep and fatigue: Meeting the needs of American workers and employers." The purpose of this inaugural meeting was to discuss current evidence about the broad-based risks and effective countermeasures related to working hours, sleep, and fatigue, with further considerations to tailor solutions for specific industries and worker populations. We aimed to identify the knowledge gaps and needs in this area and future directions for research. We also sought to identify similarities across industries with the goal of sharing lessons learned and successful mitigation strategies across sectors. Participants included an international representation of academics, scientists, government representatives, policymakers, industry leaders, occupational health and safety professionals, and labor representatives. A total of eight manuscripts were developed following stakeholder comments and forum discussions. Six focused on sector-specific approaches (i.e., Agriculture, Forestry & Fishing; Healthcare & Social Assistance; Mining; Oil and Gas Extraction; Public Safety; Transportation, Warehousing & Utilities) to identify unique factors for fatigue-risk and effective countermeasures. Two additional manuscripts addressed topic areas that cut across all industries (disproportionate risks, and economic evaluation). Findings from the Forum highlight that the identification of common risk factors across sectors allows for transfer of information, such as evidence for effective mitigation strategies, from sectors where fatigue risk has been more widely studied to those sectors where it has been less so. Further considerations should be made to improve knowledge translation activities by incorporating different languages and modes of dissemination such that information is accessible for all workers. Additionally, while economic evaluation can be an important decision-making tool for organizational- and policy-level activities, multi-disciplinary approaches combining epidemiology and economics are needed to provide a more balanced approach to economic evaluation with considerations for societal impacts. Although fatigue risk management must be tailored to fit industries, organizations, and individuals, knowledge gained in this forum can be leveraged, modified, and adapted to address these variabilities. Our hope is to continue sharing lessons learned to encourage future innovative, multi-disciplinary, cross-industry collaborations that will meet the needs of workers and employers to mitigate the risks and losses related to workplace fatigue.

On the road again: A cross-sectional survey examining work schedules, commuting time, and driving-related outcomes among U.S. oil and gas extraction workers.

BACKGROUND: Oil and gas extraction (OGE) workers in the United States experience high fatality rates, with motor vehicle crashes the leading cause of death. Land-based OGE workers drive frequently to remote and temporary worksites. Limited information is available on factors that may influence crash risk for this workforce. METHODS: A cross-sectional survey of 500 land-based OGE workers examined work schedules and hours, commuting, sleep, employer policies, and their relationship to potentially harmful events while driving. RESULTS: Over 60% of participants worked 12 or more hours per day. The mean daily roundtrip commuting time was 1.82 h. Longer daily commutes, nonstandard work schedules, less sleep on workdays, and lack of employer policies were associated with one or more risky driving-related outcomes. CONCLUSIONS: Implementation and evaluation of OGE employer policies and programs to limit long work hours, reduce long daily commutes, promote sufficient sleep, and reduce drowsy driving among U.S. OGE workers are needed.

Describing economic benefits and costs of nonstandard work hours: A scoping review.

BACKGROUND: The benefits of nonstandard work hours include increased production time and the number of jobs. While for some sectors, such as emergency services, around-the-clock work is a necessary and critical societal obligation, work outside of traditional daytime schedules has been associated with many occupational safety and health hazards and their associated costs. Thus, organizational- and policy-level decisions on nonstandard work hours can be difficult and are based on several factors including economic evaluation. However, there is a lack of systematic knowledge of economic benefits and costs associated with these schedules. METHODS: We conducted a scoping review of the methodology and data used to examine the economic benefits and costs of nonstandard work hours and related interventions to mitigate risks. RESULTS: Ten studies met all our inclusion criteria. Most studies used aggregation and analysis of national and other large datasets. Costs estimated include health-related expenses, productivity losses, and projections of future loss of earnings. Cost analyses of interventions were provided for an obstructive sleep apnea screening program, implementation of an employer-based educational program, and increased staffing to cover overtime hours. CONCLUSIONS: A paucity of studies assess nonstandard work hours using economic terms. Future studies are needed to expand economic evaluations beyond the employer level to include those at the societal level because impacts of nonstandard work go beyond the workplace and are important for policy analysis and formulation. We pose the opportunity for researchers and employers to share data and resources in the development of more analyses that fill these research gaps.

Working hours, sleep, and fatigue in the agriculture, forestry, and fishing sector: A scoping review.

INTRODUCTION: Agriculture, forestry, and fishing industry (AgFF) workers often work extremely long hours during peak production seasons, resulting in sleep deprivation and fatigue. The National Occupational Research Agenda has classified fatigue as a "significant safety issue" and area of concern for many industry sectors, including AgFF. This review explores current research and practice in AgFF and proposes next steps. METHODS: We conducted a scoping literature review to examine the extent and nature of research in this area. Article inclusion criteria included peer-reviewed journal articles written in English; published after 1989; covering AgFF workers in high-income countries; with data on working hours/schedules and sleep related to safety and health. RESULTS: Limited research has addressed long hours and sleep deprivation among AgFF workers. We identified 8350 articles for title and abstract review. Among those, 407 underwent full-text review and 96 met all inclusion criteria (67% agriculture, 25% fishing/seafood processing, 8% forestry). The literature provided some evidence fatigue contributes to fatalities, injuries, and illnesses in AgFF. Older, new, young, foreign-born, and female workers, as well as those who work in small organizations or longer hours (40+) may be at higher risk for fatigue-related injury and illness. Few studies have developed or evaluated interventions to control risks. DISCUSSION: Given that fatigue is a factor in injury and illness for this sector, future AgFF surveillance and research should increase efforts to capture fatigue and sleep data, directly investigate the role of long hours and nonstandard work schedules in the sector, and most importantly, create practical interventions to manage fatigue.

Research priorities to reduce risks from work hours and fatigue in the healthcare and social assistance sector.

BACKGROUND: The services of Healthcare and Social Assistance (HCSA) workers are needed by society around the clock. As a result, these workers are exposed to shift work and long work hours. The combination of demanding work schedules and other hazards in the HCSA work environment increases the health and safety risks to these workers, as well as to their patients/clients and the public. METHODS: This paper has three aims: (1) provide an overview of the burden of shift work, long hours, and related sleep and fatigue problems in this sector; (2) suggest research priorities that would improve these; and (3) discuss potential positive impacts of addressing these research priorities for the health and safety of workers and the public. The authors used a modified Delphi approach to anonymously rank-order priorities for improving HCSA worker health and safety and public safety. Input was also obtained from attendees at the 2019 National Institute for Occupational Safety and Health (NIOSH) Work Hours, Sleep, and Fatigue Forum. RESULTS: The highest rated research priorities were developing better designs for work schedules, and improving the HCSA culture and leadership approaches to shift work and long work hours. Additional priorities are identified. CONCLUSION: Research in these priority areas has the potential to benefit HCSA workers as well as their patients/clients, employers, and society.

Working hours, sleep, and fatigue in the public safety sector: A scoping review of the research.

BACKGROUND: The public safety sector includes law enforcement officers (LEO), corrections officers (CO), firefighter service (FF), wildland firefighting (WFF), and emergency medical services (EMS), as defined in the National Occupational Research Agenda (NORA) of the National Institute for Occupational Safety and Health (NIOSH). Across these occupations, shiftwork, long-duration shifts, and excessive overtime are common. Our objective was to identify research gaps related to working hours, sleep, and fatigue among these workers. METHODS: We used a scoping review study design that included searches of MEDLINE, Embase, CAB Abstracts, Global Health, PsychInfo, CINAHL, Scopus, Academic Search Complete, Agricultural and Environmental Science Collection, ProQuest Central, Cochrane Library, Safety Lit, Homeland Security Digital Library, and Sociological Abstracts using a range of occupational search terms and terms related to working hours, sleep, and fatigue. RESULTS: Out of 3415 articles returned from our database search, 202 met all inclusion criteria. Six common outcomes related to working hours, sleep, and fatigue emerged: sleep, fatigue, work performance, injury, psychosocial stress, and chronic disease. Nearly two-thirds (59%, n = 120) of the studies were observational, of which 64% (n = 77) were cross sectional and 9% were (n = 11) longitudinal; 14% (n = 30) of the studies were reviews; and 19% (n = 39) were experimental or quasi-experimental studies. Only 25 of the 202 articles described mitigation strategies or interventions. FFs, LEOs, EMS, and WFFs were the most studied, followed by COs. CONCLUSIONS: In general, more longitudinal and experimental studies are needed to enrich the knowledge base on the consequences of long working hours, poor sleep, and fatigue in the public safety sector. Few experimental studies have tested novel approaches to fatigue mitigation in diverse sectors of public safety. This gap in research limits the decisions that may be made by employers to address fatigue as a threat to public-safety worker health and safety.

Overwork among resident physicians: national questionnaire survey results.

BACKGROUND: Residents experience the longest working hours among physicians. Thus, it would be beneficial to perform a nationwide survey in Japan on residents' long work hours and the background factors promoting upper limits on working hours of Japanese residents. The aim of this study was to study or assess the state of physicians' excessive work hours and its background factors using a questionnaire survey. METHODS: The survey was sent to 924 hospitals. The physicians' general attributes, work hours and conditions, and employers' foundational entities were explored. Multiple logistic regression analysis was performed to elucidate the background factors for long work hours. RESULTS: Of the 4306 resident physicians who responded, 67% had ≥ 60 in-hospital hours/week and 27% had ≥ 80 h/week; 51% were on-call ≥ four times/month. Many of them hoped for increased remuneration. Additionally, female (reference: male, OR: 0.65, 95% CI: 0.55-0.76), 35-40 years old (reference: 25-30 years old, OR: 1.83, 95% CI: 1.32-2.54), childlessness (reference: child, OR: 1.41, 95% CI: 1.12-1.75), surgical specialization (reference: internal medicine, OR: 2.51, 95% CI: 1.96-3.23), neurosurgical specialization (reference: internal medicine, OR: 4.38, 95% CI: 2.92-6.59) and hospitals with 200-400 physicians (reference: <100 physicians, OR: 1.82, 95% CI: 1.12-2.96) exhibited significant correlations with ≥ 80 in-hospital hours/week. CONCLUSION: Understanding the factors that increase the likelihood of residents working very long hours could aid in making targeted changes to address the specific concerns. Moreover, reducing working hours to a reasonable limit can improve resident physicians' health and the quality of care they provide in their community.

NET Rounding: a novel approach to efficient and effective rounds for the modern clinical learning environment.

BACKGROUND: Rounds are a foundational practice in patient care and education in the inpatient healthcare environment, but increased demands on inpatient teams have led to dissatisfaction with inefficient, ineffective rounds. In this study, we describe the design, implementation, and evaluation of a novel rounding framework ("NET Rounding") that provides behaviorally-based strategies to inpatient teams to achieve efficient rounds while preserving patient safety and education. METHODS: NET Rounding consists of nine recommendations divided into three categories: Novel rounding strategies, shared Expectations, and Time management. This framework was introduced as a bundled intervention at a single-site, quaternary-care, academic hospital from March-May 2021. Eighty-three residents and 64 attendings rotated on the inpatient teaching service during the intervention period. Participants were surveyed before, during, and after their rotation about rounding's contribution to educational value, patient safety, resident duty hour violations and rotation experience. Additionally, rounding duration was recorded daily by team attendings. RESULTS: Thirty-two residents (38.5%) and 45 attendings (70%) completed post-intervention surveys. Rounding duration was recorded on 529/626 rounding days (80.6%) and resulted in achieving efficient rounds on 412/529 days (77.9%). Residents reported improvement in perceived patient safety (54 to 84%, p = 0.0131) and educational value of rounds (38 to 69%, p = 0.0213) due to NET Rounding; no change was observed amongst attendings in these areas (79 to 84% and 70 to 80%, p = 0.7083 and 0.4237, respectively). Overall, 29/32 residents (91%) and 33/45 attendings (73%) reported a positive impact on rotation experience. CONCLUSIONS: NET Rounding enabled inpatient teaching teams to complete rounds more efficiently while preserving patient safety and education.

Nursing allocation in isolation wards of COVID-19 designated hospitals: a nationwide study in China.

BACKGROUND: Appropriate allocation of nursing staff is key to ensuring efficient nursing in hospitals, and is significantly correlated with patient safety, nursing quality, and nurse job satisfaction. However, there are few studies on nursing workforce allocation in the isolation wards of COVID-19 designated hospitals globally. This study aims to better understand the nursing workforce allocation in the isolation wards of COVID-19 designated hospitals in China, and provide a theoretical basis for efficiently deploying first-line nurses in China and across the world in the future. METHODS: An online survey was conducted among the head nurses (n = 229) and nurses (n = 1378) in the isolation wards of 117 hospitals (selected by stratified sampling), using a self-reported human resource allocation questionnaire. RESULTS: The average bed-to-nurse ratios of different isolation wards were different (Z = 36.742, P = 0.000). The bed-to-nurse ratios of the ICU, suspected COVID-19 cases ward, and confirmed COVID-19 cases ward, were 1:1.88, 1:0.56, and 1:0.45, respectively. The nurse work hours per shift in different isolation wards were also different (Z = 8.468, P = 0.014), with the specific values of the ICU, suspected COVID-19 cases ward, and confirmed COVID-19 cases ward, being 5, 6, and 6 h, respectively. A correlation analysis showed that the average work hours per shift was proportional to the overtime work of nurses (rs = 0.146), the proportion of nurse practitioners was proportional to the overall utilization rate of nursing human resources in the wards (rs = 0.136), and the proportion of nurses with college degrees was proportional to teamwork (rs = 0.142). The proportion of nurses above grade 10 was inversely proportional to teamwork and psychological problems (rs = 0.135, rs = 0.203). The results of multiple stepwise regression analyses showed that the work hours of nurses per shift was the main factor affecting nurse satisfaction and that the proportion of nurses and the work hours of nurses per shift were both independent factors affecting the length of stay (LOS) of patients. CONCLUSION: Hospitals in China have made good nursing workforce allocations during the COVID-19 pandemic, but there are certain shortcomings. Therefore, scientific and efficient nursing workforce allocation practice plans should be established to improve the ability of hospitals to deal with public health emergencies and are urgent problems that need to be addressed soon.