Effects of fatigue on anaesthetist well-being and patient safety: a narrative review

The elements that render anaesthesia a captivating profession can also foster stress and fatigue. Professionals considering anaesthesia as a career choice should have a comprehensive understanding of the negative consequences of fatigue and its implications for clinical performance and of the available preventive measures. Available evidence suggests that factors unrelated to patient characteristics or condition can affect clinical outcomes where anaesthetists are involved. Workload, nighttime work, and fatigue are persistent issues in anaesthesia and are perceived as presenting greater perioperative risks to patients. Fatigue seems to negatively affect both physical and mental health of anaesthetists. Existing evidence justifies specific interventions by institutions, stakeholders, and scientific societies to address the effects of anaesthetist fatigue. This narrative review summarises current knowledge regarding the effects of fatigue on anaesthetist well-being and patient safety, and discusses potential preventive solutions.

Interventions to improve the sleep of nurses: A systematic review

Nurses are at a high risk for short sleep duration and poor sleep quality due to irregular work schedules and high occupational stress. Considering the effect of nurses' sleep on the safety and health of themselves and their patients, it is important to promote healthy sleep for nurses. We sought to synthesize the published experimental and quasi-experimental studies that address interventions to improve sleep in nurses. A systematic search was conducted for studies published in English up until May 15, 2023, using the databases PubMed, CINAHL, Academic Search Ultimate, and PsycINFO. In total, 38 articles were included, covering 22 experimental and 16 quasi-experimental studies with sample sizes ranging from 9 to 207. Studies were assessed using the Cochrane Risk of Bias tool and considered as low to medium quality. Thirty-six of the 38 studies reported positive findings for at least one sleep outcome. Intervention types included aroma therapy, dietary supplements, cognitive behavioral therapy, light therapy, mind-body therapy, sleep education, exercise, napping, shift schedule modification, and multicomponent intervention, all of which showed moderate effectiveness in promoting sleep outcomes of nurses. Comparing and contrasting studies on specific interventions for improving sleep in nurses is sparse and often equivocal. With the variations of research methodology and outcome measures, it is difficult to make a conclusion about each intervention's effectiveness on specific sleep outcomes. Additional high-quality research, including randomized controlled trials, is needed to evaluate strategies for improving sleep in this unique, safety-sensitive occupational group.

Effects of 90 Min Napping on Fatigue and Associated Environmental Factors among Nurses Working Long Night Shifts: A Longitudinal Observational Study

For nurses working long night shifts, it is imperative that they have the ability to take naps to reduce fatigue, and that an appropriate environment is prepared where such naps can be taken. We verified the effects of 90 min napping on fatigue and the associated factors among nurses working 16-h night shifts. We investigated 196-night shifts among 49 nurses for one month. Wearable devices, data logging devices, and questionnaires were used to assess nap parameters, fatigue, and environmental factors such as the napping environment, ways of spending breaks, and working environment. Nurses who nap at least 90 min on most night shifts had more nursing experience. Multivariable logistic regression analysis showed that the environmental factors significantly associated with total nap duration (TND) ≥ 90 min were noise, time spent on electronic devices such as cellphones and tablets during breaks, and nap break duration. The night shifts with TND ≥ 90 min showed lower drowsiness after nap breaks and less fatigue at the end of night shift compared to those with TND < 90 min. Nurses and nursing managers should recognize the importance of napping and make adjustments to nap for at least 90 min during long night shifts.

Effect of shift work on fatigue, reaction time and accuracy of nurses in the department of neurology: A cross-sectional observational study

AIMS

The purpose of our study was mainly to explore the effect of different shift work on cognitive and executive performance in a real clinical environment among nurses from China.

BACKGROUND

Working in shifts can disrupt circadian rhythm, resulting in reduced sleep duration, which can have a detrimental effect on cognitive function. To provide continuous service for patient care, shift work is often a special requirement for nurses. The Stroop test can be used to measure selective attention and reaction time during executive function. However, there have been limited studies about the effect of shift work on the cognitive performance of nurses by Stroop tests. Additionally, no study has been conducted in nurses working in shifts from China.

METHODS

Registered nurses in general ward, Department of Neurology, from West China Hospital of Sichuan University, were eligible and consecutively included if they were simultaneously responsible for the day, evening and night shifts on the shift work schedule. A fatigue questionnaire and Stroop tests were performed for each subject separately before and after three working shifts (morning, evening and night shift) to measure changes in fatigue, reaction time and accuracy.

RESULTS

Eighteen registered nurses (4 males and 14 females) were included in our study, with a median age of 25 years old. The fatigue degree was significantly increased after day and evening shifts (p=0.015 and <0.001, respectively). Compared with those in the preshifts, the reaction time in the neutral task and incongruent task was significantly quicker after the day shift (p=0.001, p<0.001) and night shift (p=0.008, 0.019). In contrast, the reaction time after the evening shift was mildly increased, although without significance. There was no significant difference in accuracy among the three different working shifts. In addition, there was a negative correlation between the fatigue score and reaction time on the incongruent task in the Stroop test before the day shift (r=-0.542, p=0.020). The fatigue score in the postday shift was found to be inversely related to working hours in the daytime (r=-0.500, p=0.034).

CONCLUSIONS

Our study showed that increased fatigue was found in nurses after day and evening shifts, and shift work can affect the reaction time after the evening shift. However, there was no significant difference in accuracy and a high level of attention could be maintained among the three working shifts, suggesting a highly developed sense of responsibility in our nurses.

IMPLICATIONS FOR NURSING MANAGEMENT

In addition to focusing on the common adverse effects of evening or night shifts on nurses, fatigue in the day shift should be paid special attention to by the leadership in the nursing management. Also, nurse managers can implement specific strategies to reduce fatigue after the day shift by shortening the working hours in the daytime appropriately, setting rest periods in the day shift or dividing nurses into morning and afternoon shifts.

Effect of sleep on alertness at work among fixed night shift nurses: A prospective observational study

AIMS

To identify patterns of declining alertness at work among fixed night shift nurses using an objective measure and to determine the effect of sleep parameters on the decline in alertness at work.

DESIGN

A prospective observational study.

METHODS

Data were collected from 65 fixed night shift nurses who provided direct nursing care for patients in Korean hospitals between September 2020 and March 2021. Participants wore an actigraph for 14 days on their non-dominant hand to measure sleep parameters and predict their hourly alertness scores. They completed an online survey to provide their demographic information. Mixed-effect models were employed to determine the association between sleep parameters and the decline in alertness.

RESULTS

The alertness scores of fixed night shift nurses constantly dropped every working hour. Scores dropped below 20% after 4 h from the beginning of the shift and below 30% after 6 h. Increased minutes in bed, minutes asleep and sleep efficiency reduced the risk of decreased alertness scores below 70. Increased sleep latency was associated with an increased risk of alertness scores dropping below 70.

CONCLUSION

The alertness of fixed night shift nurses drops steeply during regular hours and remains low during overtime. Sleep parameters contribute to the decline in alertness at work among fixed night shift nurses.

IMPACT

This study identified patterns of decline in alertness among fixed night shift nurses and the contributing factors for this decline, using an objective measure. The findings have important implications for the development of future interventions to improve the sleep hygiene of fixed night shift nurses to enhance their alertness at work.

Alertness during working hours among eight-hour rotating-shift nurses: An observational study

PURPOSE

The aim of this study was to identify the patterns of the decline in the alertness of rotating-shift nurses during working hours across different shift types (day, evening, and night) using an objective measure.

DESIGN

An observational study using ReadiBand wrist actigraphs was conducted.

METHODS

Data were collected from June 2019 to February 2020. Participants were rotating-shift nurses (N = 82) who provided direct nursing care for patients in acute care hospitals in South Korea. Nurses wore actigraphs continuously for 14 days on their non-dominant hand to identify sleep-wake cycles and predict their alertness scores hourly. All participants completed a sleep diary.

FINDINGS

Nurses working during night shifts had lower average alertness scores (mean = 77.12) than nurses working during day (mean = 79.05) and evening (mean = 91.21). Overall, alertness showed a declining trend and the specific patterns of decline differed across shifts. Participants with alertness scores less than 70 or 80 demonstrated a significant decline in alertness across all shifts.

CONCLUSIONS

Distinct patterns of decline in alertness per nursing shift were revealed. Each shift feature should be considered when developing interventions to increase nurses' alertness, promote high-quality care provision, and ensure patient safety.

CLINICAL RELEVANCE

The implementation of interventions to increase alertness among shift nurses is needed at the organizational level, and the cooperation of nursing managers and administrators is required.

Medication Error During the Day and Night Shift on Weekdays and Weekends: A Single Teaching Hospital Experience in Riyadh, Saudi Arabia

Background

The association between medication error incidence and time (day shift vs night shift) have not been extensively studied in Saudi Arabia, this study aimed to answer this question: is there a relationship between medication error incidence and time of the day (day shifts vs night shifts) on weekdays and weekends?.

Objective

To identify whether medication errors and their sub-categories are significantly different between day shifts, night shifts, during weekdays and weekends.

Methods

A retrospective analysis of medication errors reported by health-care practitioners from January 2018 to December 2019 through the Electronic-Occurrence Variance Reporting System (E-OVR) of a university teaching hospital in Riyadh, Saudi Arabia. Statistical analysis was used to determine the differences between the medication errors and their sub-categories and day and night shifts during weekdays (from Sunday to Thursday) and weekends (Friday and Saturday).

Results

A total of 2626 medication errors were reported over 2 years from January 2018 to December 2019. The most prevalent sub-category of medication errors was prescribing errors (55%), while the least common sub-category of medication errors was administration errors (0.6%). There was a statistically significant difference between medication errors and day of the week. Medication errors that happened on weekdays were greater than at weekends (P = 0.01). During weekends, medication errors were more likely to occur at the night shift compared to the day shift (P < 0.05).

Conclusion

Timing of medication errors incidence is an important factor to be considered for improving the medication use process and improving patient safety. Further researches are needed that focus on intervention to reduce these errors, especially during night shifts.

Effect of shift work on working memory, attention and response time in nurses

Objective. The present study aimed to investigate the relationship between shift work and cognitive performance in nurses. Methods. The present before-after study included 35 female nurses 25-40 years old with similar mental and physical workload. Working memory, response time and attention were assessed using Wechsler and Stroop tests. The variables were measured at the beginning and the end of three working shifts (morning, afternoon and night). An interval of 3 days was considered for performing an after-shift test to eliminate the learning effect. Data were analyzed using repeated-measures analysis of variance (ANOVA). Results. At the end of all three shifts, nurses' working memory (p = 0.039) and interference score (p = 0.04) were significantly decreased, but their response time was not significantly affected during a shift. The decrease in working memory after the night shift was significantly higher than after the morning and evening shifts (p < 0.001). Conclusion. The results of this study showed that shift work can affect some aspects of cognitive function (working memory and attention) in nurses, and this effect was more prominent after a night shift.

The effects of bright light treatment on subjective and objective sleepiness during three consecutive night shifts among hospital nurses - a counter-balanced placebo-controlled crossover study

Objectives The objective was to investigate effects of timed bright light treatment on subjective and objective measures of sleepiness during three consecutive night shifts among hospital nurses. Methods Thirty-five nurses were exposed to bright light (10,000 lux) and red dim light (100 lux) during three consecutive night shifts in a counter-balanced crossover trial lasting nine days, which included three days before and three days after the three night shifts. Light exposure for 30 minutes was scheduled between 02:00-03:00 hours on night 1, and thereafter delayed by one hour per night in order to delay the circadian rhythm. Subjective sleepiness was measured daily (heavy eyelids, reduced performance) and every second hour while awake (Karolinska Sleepiness Scale, KSS). Objective sleepiness (Psychomotor Vigilance Task, PVT) was measured at 05:00 hours during each night shift. Beyond nocturnal light exposure on the night shifts, no behavioral restrictions or recommendations were given at or off work. Results Bright light treatment significantly reduced heavy eyelids during night shifts. However, results on KSS and PVT were unaffected by bright light. There were no differences in subjective sleepiness during the three days following the night shifts. Conclusions This bright light treatment protocol did not convincingly reduce sleepiness among nurses during three consecutive night shifts. Nor did bright light impede the readaptation back to a day-oriented rhythm following the night shift period. Too few consecutive night shifts, inappropriate timing of light, and possible use of other countermeasures are among the explanations for the limited effects of bright light in the present study.

Should public safety shift workers be allowed to nap while on duty?

Fatigue and sleep deficiency among public safety personnel are threats to wellness, public and personal safety, and workforce retention. Napping strategies may reduce work-related fatigue, improve safety and health, yet in some public safety organizations it is discouraged or prohibited. Our aim with this commentary is to define intra-shift napping, summarize arguments for and against it, and to outline potential applications of this important fatigue mitigation strategy supported by evidence. We focus our discussion on emergency medical services (EMS); a key component of the public safety system, which is comprised of police, fire, and EMS. The personnel who work in EMS stand to benefit from intra-shift napping due to frequent use of extended duration shifts, a high prevalence of personnel working multiple jobs, and evidence showing that greater than half of EMS personnel report severe fatigue, poor sleep quality, inadequate inter-shift recovery, and excessive daytime sleepiness. The benefits of intra-shift napping include decreased sleepiness and fatigue, improved recovery between shifts, decreased anxiety, and reduced feelings of burnout. Intra-shift napping also mitigates alterations in clinician blood pressure associated with disturbed sleep and shift work. The negative consequences of napping include negative public perception, acute performance deficits stemming from sleep inertia, and the potential costs associated with reduced performance. While there are valid arguments against intra-shift napping, we believe that the available scientific evidence favors it as a key component of fatigue mitigation and workplace wellness. We further believe that these arguments extend beyond EMS to all sectors of public safety.

Individual Circadian Preference, Shift Work, and Risk of Medication Errors: A Cross-Sectional Web Survey among Italian Midwives

Background: In order to explore the possible association between chronotype and risk of medication errors and chronotype in Italian midwives, we conducted a web-based survey. The questionnaire comprised three main components: (1) demographic information, previous working experience, actual working schedule; (2) individual chronotype, either calculated by Morningness–Eveningness Questionnaire (MEQ); (3) self-perception of risk of medication error. Results: Midwives (n = 401) responded “yes, at least once” to the question dealing with self-perception of risk of medication error in 48.1% of cases. Cluster analysis showed that perception of risk of medication errors was associated with class of age 31–35 years, shift work schedule, working experience 6–10 years, and Intermediate-type MEQ score. Conclusions: Perception of the risk of medication errors is present in near one out of two midwives in Italy. In particular, younger midwives with lower working experience, engaged in shift work, and belonging to an Intermediate chronotype, seem to be at higher risk of potential medication error. Since early morning hours seem to represent highest risk frame for female healthcare workers, shift work is not always aligned with individual circadian preference. Assessment of chronotype could represent a method to identify healthcare personnel at higher risk of circadian disruption.

"It is really so exhausting": Exploring intensive care nurses' perceptions of 24-hour long shifts

AIM AND OBJECTIVES

To explore the perceptions and experiences of Cambodian ICU registered nurses regarding their working 24-hr shifts.

BACKGROUND

In Europe and the USA, nurses are moving to a 12-hr shift, and numerous studies have revealed the positive and negative effects of these. However, lesser known is the impact of 24-hr nursing shifts on care quality, and health and safety. In Cambodia, 100% of nurses are rostered for these in their shift patterns, but until this study no research had been conducted on such shifts.

DESIGN

A qualitative descriptive study.

METHOD

Three focus group discussions were conducted with 30 registered nurses in July 2019, ten in each group, from three intensive care units of three hospitals in Cambodia. Data saturation was obtained. Data were analysed using content analysis, and the COREQ was applied for reporting this study.

FINDINGS

The ICU nurses' perspectives revealed significant and unacceptable effects of working shifts of ~25-hr length, taking into account staff handover. Two major themes arose: It is so exhausting and Compromised hospital care. Alarmingly, participants worked on average 72 hr per week, were exhausted, and nursed between 6 and 10 critically ill patients per shift.

CONCLUSION

To our knowledge this is the first study on nurses working 24-hr shifts, revealing unacceptable, high risks for the health and safety of nurses and patients, with nursing activities left undone, and a lack of quality care.

RELEVANCE TO CLINICAL PRACTICE

Improving nurse and patient health and safety, and quality of care requires hospital leaders to work with government and nursing organisations to develop better shift strategies. Resources need to be provided so that: nurses can work a maximum 12-hr shifts; the ratio of nurses to patients is improved; and nurses can have decent break times. This has major implications, for not only practice, but also management, administration, budgets and education.

Napping and cognitive performance during night shifts: a systematic review and meta-analysis

Study Objectives

To examine the benefits of napping during night shifts on cognitive performance.

Methods

Medline, Cochrane Library, Science direct, and Embase databases were searched up to July 1, 2019. Cognitive performance during night shifts, both before and following napping or under control conditions (no nap), in working-aged adults, were analyzed by time and by type of cognitive function (executive function, attention, instrumental function, and memory). Estimates were pooled using random-effects meta-analysis.

Results

A total of 18 articles (6 in real-work and 12 in laboratory) with a total of 494 participants were included. The mean nap duration was 41.6 ± 28.3 min, occurring between 12.00 am and 4.10 am, with a mean time set at 2.12 am. Cognitive performance did not differ at baseline between the groups (effect size 0.02, 95% CI −0.09 to 0.13). There was an overall improvement in performance following a nap compared to the control condition without a nap (0.25, 0.10 to 0.41). Positioning naps early in the night and activity (simulated work tasks) tended to improve cognitive performance (−0.57, −1.16 to 0.002, and 0.082, −0.04 to 0.33, respectively). The improvements were primarily seen 30 min after awakening. Only memory deteriorated immediately after awakening without an overall change in global cognitive performance.

Conclusion

Napping during night shifts seems to improve cognitive performance. Napping early in the night and activity may benefit cognitive performance over time. Considering lack of data in real work environments, further studies are warranted before preconizing napping during night shifts as a preventive strategy (safety, health, and economic outcomes).

Night-shift nurses and drowsy driving: A qualitative study

BACKGROUND

Drowsy driving following the night shift is persistent among nurses resulting in elevated rates of vehicle crashes and crash-related injuries and deaths. While considerable effort has been dedicated to the development of countermeasures, implementation of these countermeasures in nursing has lagged behind other shift work oriented industries. Developing effective countermeasures for drowsy driving in nurses requires a thorough characterization of nurse's perceptions of drowsy driving and potential mitigations.

OBJECTIVE

The objective of this research was to elicit night shift nurses' perceptions of drowsy driving, countermeasures, and educational and technological interventions.

DESIGN

Perceptions were elicited through a semi-structured interview protocol. The protocol design was driven by previously identified research gaps. Questions focused on four topics: perceptions of drowsy driving, current practices and methods to mitigate drowsiness during the shift and commute, preferences and expectations for training on drowsiness management, and, preferences and expectations for technological mitigations.

SETTING

The data collection took place at a large urban hospital in Texas, USA.

PARTICIPANTS

Thirty night-shift nurses were recruited with voluntary sampling. No nurses declined to participate after initially consenting. The participants were male and female nurses who currently worked a 12 hour night shift. The nurses had between 1 and more than 20 years of experience and worked in a variety of units.

METHOD

The interview recordings were transcribed by the research team and entered into a qualitative data analysis software. Transcripts were analyzed by two independent coders with a grounded theory approach to identify common themes and subthemes across participants.

FINDINGS

Feelings of drowsiness typically manifested immediately following the shift or during the post work commute. Nurses responded to drowsiness by engaging in multiple ineffective countermeasures (e.g., listening to music) and effective countermeasures (e.g., naps) were used sparingly. Experiences and mitigation methods traversed through the nurses' social network although they did not always alter behavior. Nurses were uncertain but enthusiastic about educational and technological interventions preferring practical training and auditory interactive alerts.

CONCLUSIONS

The findings suggest a strong need for real time drowsiness interventions during or immediately prior to nurses' post work commutes. Nurses' enthusiasm for training and technology to prevent drowsy driving suggests high levels of readiness and acceptance for such interventions. Future work should focus on the development and implementation of practical training and technological interventions for drowsy driving in nurses.

Effects of self-compassion and self-focus on sleep disturbances among psychiatric nurses

PURPOSE

Previous research has demonstrated that self-compassion improved sleep in geriatric samples. However, this may be due to an uncontrolled influence from self-focus, or interaction between self-compassion and self-focus. This study examines whether these findings apply to psychiatric nurses.

DESIGN AND METHODS

Demographics, sleep disturbances, self-compassion, and self-focus of 404 psychiatric nurses were assessed. Hierarchical multiple regression was used to predict sleep disturbances.

FINDINGS

Analyzes revealed that working more night shifts, less self-compassion, and rumination predicted worse sleep quality; however, the effect of self-compassion was not significant when controlling for self-focus.

PRACTICE IMPLICATIONS

An association between sleep quality and self-compassion was observed, but not when controlling for self-focus. Rumination may have an impact on sleep, and reducing it may improve sleep in psychiatric nurses.

Burnout, Sleep, and Sleepiness during Day and Night Shifts in Transition from 8- to 12-Hour Shift Rosters among Airline Ground Crew Managers

Organizational changes in shift scheduling provide rare opportunities for field studies aimed at investigating the effects of such changes on health and wellbeing. We studied the effects of a transition from 8-hour (8-h) to 12-hour (12-h) shift rosters in 39 airline ground crew managers on burnout, sleep quality, and sleepiness. Assessments were collected during the 8-h and were repeated three months after the transition to 12-h shift rosters. These assessments included the Shirom-Melamed Burnout Measure (SMBM), the Pittsburgh Sleep Quality Index (PSQI), actigraphy, the Karolinska Sleepiness Scale (KSS) completed hourly during one day and two night shifts, and caffeine intake. Findings demonstrated lower burnout, improved sleep quality, improved quality of naps, and increased afternoon sleepiness during the 12-h day shift. Napping was reported during 12-h night shifts by 36% of the sample. In nappers, increased night shift sleepiness was associated with increased caffeine intake on 8- and 12-h shifts. In non-nappers, increased night shift sleepiness was associated with decreased caffeine intake on the 8-h shift only. Change in shift length affects other structural and behavioral parameters in the workplace, making it challenging to isolate distinct characteristics of the two rosters and their relative effects on study outcomes. Individual differences in adaptation to shiftwork may also play a role.