The effects of shift-work schedules on the sleep, health, safety, and quality of life of police employees during the COVID-19 pandemic.

Introduction: The negative health and safety consequences of police fatigue are increasingly recognized as a critical problem. This study's objective was to measure the effects of different shift schedules on police employee health, safety, and quality of life. Methods: A cross sectional research design surveyed employees (N = 319) from a large, U.S. west coast municipal police service during the fall of 2020. The survey was made up of a battery of validated instruments designed to assess dimensions of health and wellness (e.g., sleep, health, safety, and quality of life). Results: We found 77.4% of police employees had poor sleep quality, 25.7% had excessive daytime sleepiness, 50.2% had PTSD symptoms, 51.9% had depressive symptoms, and 40.8% had anxiety symptoms. Working night shifts significantly decreased sleep quality and increased excessive sleepiness. Furthermore, employees working night shifts were significantly more likely to report falling asleep at the wheel while driving home than employees working other shifts. Discussion: Our findings have implications for interventions designed to promote police employee sleep health, quality of life, and worker safety. We urge researchers and practitioners alike to target night shift workers, to help mitigate these risks.

The Impact of 12 h Night Shifts on Nurses' Driving Safety.

Aim: The purpose of this study was to determine the impact of 12 h day vs. 12 h night shift-accumulated fatigue on nurses' driving safety. Background: Evidence across industries links work-related fatigue with errors, accidents, and adverse long-term health outcomes. Shifts of 12 h or longer are particularly problematic, and the potential risks to shift-worker driving safety during their post-shift commute home have yet to be fully explored. Methods: This study used a between-groups, repeated-measures non-randomized control trial. Forty-four nurses working 12 h day shifts and 49 nurses working 12 h night shifts were tested in a driving simulator on two separate occasions-once immediately following their third consecutive 12 h hospital shift and once on their third consecutive day (72 h) off work. Results: We found that night shift nurses had significantly greater lane deviation during the post-shift drive home compared to day shift nurses, which is a key indicator of collision risk, demonstrating impaired driving safety. Conclusions: Consecutive 12 h night shifts are an extremely popular shift for nurses working in the hospital setting, however they pose a significant driving safety risk to nurses assigned to night shifts. This study provides objective evidence of the impact of shift work-related fatigue on 12 h night shift nurse safety, allowing us to make recommendations that may help prevent injury or death from motor vehicle collisions.

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.

Pilot Test of "NIOSH Training for Law Enforcement on Shift Work and Long Work Hours".

OBJECTIVE: Pilot test the effectiveness of an online training program for managing shift work and long work hours. METHOD: Fifty-seven officers from across the United States participated for 12 weeks in a pre-test, training intervention, post-test design assessing the following measures: sleep using actigraphy, diaries, and surveys; knowledge and feedback about the training using surveys. RESULTS: After the training, actigraphy data showed significant reductions in sleep latency and awakenings during sleep. Survey data showed reductions in sleepiness, difficulty staying awake during the day, and difficulty getting things done. Frequency of nightmares also decreased. Participant's knowledge about sleep improved and satisfaction with the training was high. CONCLUSION: Participants were satisfied with the training and showed objective improvements in their sleep and subjective improvements in feelings when awake. This research will help inform interventions to improve police officer health and wellness.

Psychometric Evaluation of the Creighton Competency Evaluation Instrument in a Population of Working Nurses.

BACKGROUND AND PURPOSE: This study explored the psychometric properties of the Creighton Competency Evaluation Instrument (C-CEI), previously validated for use with nursing students, to assess simulation performance among registered nurses working 12-hour shifts. Valid and reliable measurements are needed to test clinical and simulation competencies and characterize the effects of fatigue on nursing performance. METHODS: Trained raters scored nurses' patient care performance in simulation scenarios using the C-CEI. We analyzed the instrument's principal components, internal reliability, and construct validity. RESULTS: Internal reliability of the C-CEI aggregate score and the Clinical Decision-making component were high (>.70). The latter robustly correlated with predicted cognitive effectiveness, a measure of fatigue. CONCLUSIONS: The C-CEI is a reliable measure for use among registered nurses and its further development will be important for testing performance of working nurses and fatigue-mitigation innovations.

The effects of three consecutive 12-hour shifts on cognition, sleepiness, and domains of nursing performance in day and night shift nurses: A quasi-experimental study.

BACKGROUND: Healthcare systems have widely adopted consecutive 12 h day and night shifts for nurses, but the effects of these shifts on cognition, sleepiness, and nursing performance remains understudied. OBJECTIVE: To determine the extent of changes in cognition and sleepiness in nurses working three consecutive 12 h shifts, quantify the respective impacts of these changes on different aspects of nursing performance, and investigate individual differences in all measures. DESIGN: A quasi-experimental, between-within design collected data from nurses between November 2018 and March 2020. The between-groups component was comprised of day shift nurses vs. night shift nurses, while the within-groups component was comprised of two separate test sessions for each nurse: one immediately following a third consecutive shift (fatigued) and one after three consecutive days off work (rested). SETTING: Participants were tested in a northwestern US university's nursing simulation laboratory. PARTICIPANTS: A volunteer sample of 94 registered nurses involved in direct patient care working 12 h shifts were recruited from two local hospitals. METHODS: Simulated nursing performance was measured in seven separate domains and an aggregate score from the Creighton Competence and Evaluation Inventory, covering both lower- and higher-level constructs like procedural skills, assessment, decision-making, etc. Cognition and sleepiness were assessed through measures of sustained attention, predicted cognitive effectiveness, and subjective sleepiness. RESULTS: In our 94 nurses, individual differences in all our measures varied from trivial to extensive. For six domains of performance and the aggregate score there were no significant differences in means across groups or conditions. For the seventh, Communication skills were lower for night nurses than day nurses, but this effect was small. After three consecutive shifts, sustained attention and predicted cognitive effectiveness decreased, and subjective sleepiness increased. Predicted cognitive effectiveness was particularly low for fatigued night nurses relative to other conditions and was positively correlated with Communication while controlling for other predictors. CONCLUSIONS AND RELEVANCE: Nurses maintained their levels of performance for all domains after three consecutive shifts. Individual differences in predicted cognitive effectiveness could account for variation in performance by shift type for Communication skills but for no other domain of performance. Communication skills and predicted cognitive effectiveness may interest researchers in the development of fatigue-mitigation strategies for night nurses, but our findings also suggest that more sensitive measures of performance may be necessary to capture other meaningful effects of long, consecutive shifts-if any-on patient care. Tweetable abstract: The effects of three consecutive 12 h shifts on cognition, sleepiness, and domains of nursing performance in day and night shift nurses: A quasi-experimental study.

Sleep health and predicted cognitive effectiveness of nurses working 12-hour shifts: an observational study.

BACKGROUND: Due to the 24hr nature of society, shift work has become an integral part of many industries. Within the literature there exists an abundance of evidence linking shift work-related sleep restriction and fatigue with errors, accidents, and adverse long-term health outcomes. OBJECTIVE: The study goal was to physiologically measure sleep patterns and predicted cognitive decline of nurses working both 12hr day and night shifts to address the growing concern about sleep restriction among healthcare workers. DESIGN: This study presents the results of a quasi-experimental, mixed between-within design where the sleep of 12hr day and night shift nurses was measured using ReadiBand wrist actigraphs. The between groups component was comprised of day v. night shift nurses. The within groups component was comprised of two separate measurement periods for each nurse-once for three consecutive days while they were working shifts (on duty) and once for three consecutive days off work (off duty). SETTING: Participants wore the wrist actigraph at home and in the hospital, and were instructed to adhere to their regular sleep schedule. PARTICIPANTS: Participants were recruited from two hospitals in Washington State (n=90). Participants were 48 night- and 42 day-shift nurses. All participants worked 12-hour shifts. METHODS: Sleep was measured using ReadiBand wrist actigraphs, which are licensed with the Sleep, Activity, Fatigue, and Task Effectiveness (SAFTEtm) Alertness Score model, a biomathematical model that predicts cognitive effectiveness based on sleep/wake schedule. ReadiBands also calculate sleep quantity, sleep efficiency, and sleep latency. Results were analysed in SPSS (v26) through multilevel modelling. RESULTS: Differences were observed in sleep quantity, efficiency, and latency based on shift type (day vs. night) and shift duty (on vs. off). The most extreme differences, however, were noted in cognitive effectiveness (SAFTEtm), whereby night shift nurses experienced substantial decline-frequently into the "high risk" zone-throughout their shifts compared to day shift nurses. CONCLUSIONS: The present study identifies sleep characteristics that differ between day and night nurses working 12-hour shifts using objective measurements of sleep. Biomathematical modelling can offer a novel method to estimate hours of greatest cognitive decline, and have implications for policy around shift duration, timing, and overtime allocation.

BMI influences relationships among health factors for adults with persistent pain who use prescription opioids.

BACKGROUND: Long-term use of prescription opioids for pain results in negative health outcomes. Overweight and pain are related, and adults with either condition commonly report poor sleep quality, high levels of depression, low levels of self-efficacy, and high pain interference and intensity. Insufficient research exists regarding how weight may influence pain outcomes in the context of common symptoms. PURPOSE: To investigate how body mass index (BMI) influences relationships between health factors and pain outcomes among adults with pain prescribed opioids. METHODS: The sample included 226 adults. Linear regression models tested relationships among variables and outcomes of pain intensity and pain interference. FINDINGS: BMI significantly strengthened relationships between health factors and pain interference but not pain intensity. DISCUSSION: Adults with persistent pain suffer worsened pain interference in the context of increased weight status. Nurses should consider addressing BMI as part of a holistic pain management care plan.

Nursing Students' Sleep Patterns and Perceptions of Safe Practice During Their Entrée to Shift Work.

Background: The transition into shift work represents a critical and challenging time point in a nurse's career. The purpose of this study was to describe nursing students' sleep patterns and perceptions of safe practice during their first semester of clinical rotations. Method: Repeated measures pertaining to the sleep patterns of 19 full-time junior undergraduate nursing students were measured before, during, and after their first clinical rotations. Sleep was measured using wrist activity monitors and sleep diaries for seven consecutive days at each time period. Students' "self-efficacy" or belief in their ability to provide safe practice was measured for (a) patient care (preventing adverse events to patients) and (b) occupational health (preventing occupational injuries to themselves) using Bandura's self-efficacy scales. Associations between students' sleep, sleepiness, and their perceptions of safe practice were explored. Results: Nursing students' self-efficacy scores regarding patient care (preventing adverse events) improved across the three time periods (from 80% before clinical rotation, to 84% during clinical rotation, to 87% after clinical rotation). Although lower overall, students' self-efficacy scores regarding occupational health (preventing occupational injuries to themselves) also improved across the three time periods (from 71% before clinical rotation, to 76% during clinical rotation, to 77% after clinical rotation). Furthermore, increased sleepiness significantly predicted lower self-efficacy scores for both patient care and occupational health. Conclusion/Application to Practice: Sleepiness can impair nursing students' confidence in their ability to practice safely.

Prison employment and post-traumatic stress disorder: Risk and protective factors.

OBJECTIVES: To examine the prevalence of Post-Traumatic Stress Disorder (PTSD) in a sample of prison employees, investigate risk factors, and explore protective factors for PTSD. METHODS: We surveyed 355 Washington State Department of Corrections employees. The survey included the PTSD checklist for the DSM-5 (PCL-5), the Critical Incident History Questionnaire, and the Work Environment Inventory. RESULTS: We found 19% of the sample met the criteria for diagnosable PTSD. Several risk factors were associated with a higher PCL-5 score, including exposure to critical incidents, and having greater ambiguity in the job role. Being happy with job assignments and having positive relationships with supervisors and coworkers were associated with decreased PCL-5 score. CONCLUSIONS: Prison employees have a PTSD rate equivalent to Iraq and Afghanistan war veterans and higher than police officers, suggesting the importance of developing programs for promoting resilience to stress, incorporating the knowledge gained on risk, and protective factors.

Evaluating the Effectiveness of Fatigue Management Training to Improve Police Sleep Health and Wellness: A Pilot Study.

OBJECTIVES: To evaluate the effectiveness of an intervention for improving sleep health in a sample of employees from the Royal Canadian Mounted Police (RCMP). METHODS: Using a pre- and post-design we exposed 61 RCMP members to a fatigue-management training program. Pre- and post-intervention surveys included the Pittsburg Sleep Quality Index (PSQI), the World Health Organization Quality of Life (WHOQOL) instrument, and the six item index of psychological distress (Symptom Checklist-90). RESULTS: We found the training improved member satisfaction with sleep (Wald = 2.58; df = 1; P = 0.03) and reduced symptoms of insomnia (Wald = 5.5; df = 1; P = 0.02). Furthermore, the training reduced the incidence of headaches (Wald = 6.5; df = 1; P = 0.01). CONCLUSIONS: Our findings suggest that a fatigue management training program resulted in positive sleep health benefits for police. We stress the importance of continued evaluation to inform the large-scale implementation of fatigue-management programs.

Nursing Students' Perceptions of the Transition to Shift Work: A Total Worker Health Perspective.

Nursing students make an abrupt transition from traditional classes to clinical rotations and shift work. Little is known about students' sleep, sleep disturbances, and safe practice behaviors during this critical phase of professional development. The purpose of this study was to identify nursing students' perceptions of problems and potential solutions related to shift work and long work hours. This qualitative, descriptive study used two nursing student focus groups which engaged in a two-round participatory process aimed at framing future interventions. Participants identified problems and solutions related to personal and workplace well-being. Findings will inform undergraduate curricular revisions, and hospital hiring and managerial practices.

The negative impact of prison work on sleep health.

OBJECTIVES: To examine the prevalence of sleep disorders, deprivation, and quality in a sample of prison employees, and investigate the relationship between exposure to work-related critical incidents and sleep. METHODS: We surveyed 355 Washington State Department of Corrections employees. The survey included the Pittsburg Sleep Quality Index and the Critical Incident History Questionnaire. RESULTS: We found 28% and 45% of the sample reported suffering from Apnea and insomnia, respectively. Over half of the sample reporting sleeping less than 2 h between shifts and being constantly fatigued. We found significant associations between exposure to critical incidents and sleep problems. CONCLUSIONS: Prison workers are in desperate need of help to improve their sleep. Our findings suggest the importance of continued investigation of prison worker sleep health using objective measures, toward the development of programs for improving sleep and resilience to critical incidents and stress.

The Athlete Sleep Screening Questionnaire: a new tool for assessing and managing sleep in elite athletes.

BACKGROUND/AIM: The purpose of this study was to develop a subjective, self-report, sleep-screening questionnaire for elite athletes. This paper describes the development of the Athlete Sleep Screening Questionnaire (ASSQ). METHODS: A convenience sample of 60 elite athletes was randomly distributed into two groups; 30 athletes completed a survey composed of current psychometric tools, and 30 athletes completed a revised survey and a sleep specialist structured clinical interview. An item analysis was performed on the revised survey with comparison to clinical decisions regarding appropriate intervention based on a sleep specialist assessment. RESULTS: A comparison of existing sleep-screening tools with determination of clinical need from a sleep specialist showed low consistency, indicating that current sleep-screening tools are unsuitable for assessing athlete sleep. A new 15-item tool was developed (ASSQ) by selecting items from existing tools that more closely associated with the sleep specialist's reviews. Based on test-retest percentage agreement and the κ-statistic, we found good internal consistency and reliability of the ASSQ. To date, 349 athletes have been screened, and 46 (13.2%) identified as requiring follow-up consultation with a sleep specialist. Results from the follow-up consultations demonstrated that those athletes identified by the ASSQ as abnormal sleepers have required intervention. CONCLUSIONS: The research developed a new athlete-specific sleep-screening questionnaire. Our findings suggest that existing sleep-screening tools are unsuitable for assessing sleep in elite athletes. The ASSQ appears to be more accurate in assessing athlete sleep (based on comparison with expert clinical assessment). The ASSQ can be deployed online and provides clinical cut-off scores associated with specific clinical interventions to guide management of athletes' sleep disturbance. The next phase of the research is to conduct a series of studies comparing results from the ASSQ to blinded clinical reviews and to data from objective sleep monitoring to further establish the validity of the ASSQ as a reliable sleep screening tool for elite athletes.

Identifying psychophysiological indices of expert vs. novice performance in deadly force judgment and decision making.

OBJECTIVE: To demonstrate that psychophysiology may have applications for objective assessment of expertise development in deadly force judgment and decision making (DFJDM). BACKGROUND: Modern training techniques focus on improving decision-making skills with participative assessment between trainees and subject matter experts primarily through subjective observation. OBJECTIVE metrics need to be developed. The current proof of concept study explored the potential for psychophysiological metrics in deadly force judgment contexts. METHOD: Twenty-four participants (novice, expert) were recruited. All wore a wireless Electroencephalography (EEG) device to collect psychophysiological data during high-fidelity simulated deadly force judgment and decision-making simulations using a modified Glock firearm. Participants were exposed to 27 video scenarios, one-third of which would have justified use of deadly force. Pass/fail was determined by whether the participant used deadly force appropriately. RESULTS: Experts had a significantly higher pass rate compared to novices (p < 0.05). Multiple metrics were shown to distinguish novices from experts. Hierarchical regression analyses indicate that psychophysiological variables are able to explain 72% of the variability in expert performance, but only 37% in novices. Discriminant function analysis (DFA) using psychophysiological metrics was able to discern between experts and novices with 72.6% accuracy. CONCLUSION: While limited due to small sample size, the results suggest that psychophysiology may be developed for use as an objective measure of expertise in DFDJM. Specifically, discriminant function measures may have the potential to objectively identify expert skill acquisition. APPLICATION: Psychophysiological metrics may create a performance model with the potential to optimize simulator-based DFJDM training. These performance models could be used for trainee feedback, and/or by the instructor to assess performance objectively.

Risk factors for domestic violence during pregnancy: a meta-analytic review.

This article presents the results of a meta-analysis of the existing research literature, in an effort to increase our understanding of the prevalence of domestic violence (DV) among pregnant women, and of risk factors associated with DV during pregnancy. Across 92 independent studies, the average reported prevalence of emotional abuse was 28.4%, physical abuse was 13.8%, and sexual abuse was 8.0%. Composite odds ratio effect sizes were calculated for the demographic, behavioral, and social risk factors identified by 55 independent studies. Both victimization and perpetration risk factors were analyzed. Abuse before pregnancy and lower education level were found to be strong predictors of abuse during pregnancy. Pregnancy being unintended by either the victim or the perpetrator, lower socioeconomic status, and being unmarried were found to be moderate predictors of abuse during pregnancy.