The impact of long work hours and shift work on cognitive errors in nurses

Rhéaume, Ann; Mullen, Jane

doi:10.1111/jonm.12513

Cited by 67 publications

(66 citation statements)

References 34 publications

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“…Work status also played an important role in sleep disturbance among the current study participants; long years of service were significantly associated with a greater sleep disturbance, which might be a result of the prolonged length of shift work or chronic job‐related stress. About one‐quarter of the participants worked in 12‐hr rotations, and research showed that nurses working 12‐hr rotations had less total sleep time and sleep efficiency than those in 8‐hr shifts; in addition, 12‐hr shift workers also napped more than their counterparts (Rhéaume & Mullen, ), which could potentially have a negative impact on their circadian rhythms. Elevated blood pressure and heart rate, as well as decreased heart rate variability (HRV), have been found in the 12‐hr‐night shift workers (Su et al, ).…”

Section: Discussionmentioning

confidence: 99%

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

et al. 2019

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Aim To describe sleep disturbances and fatigue among female registered nurses in Beijing and to develop a prediction model for sleep disturbances. Background Chinese nurses are required to work rotating shifts on a weekly basis, which could negatively impact their sleep and well‐being. Method A total of 647 registered nurses participated in this study. Self‐reported sleep‐related data and selected physiological data were collected. Back propagation artificial neural networks was used to develop the prediction model by using the risk management and population health framework. Results Majority of them reported clinically significant poor sleep (69.4%) and fatigue (75.4%). A total of eight predictors were identified for sleep disturbances, and the top four normalized importance predictors are morning fatigue (100%), body mass index (30.5%), gastrointestinal symptoms (17.6%) and drinking caffeinated beverages at work (17.3%). The cross‐entropy error was 206.58, and the model accounted for 77.6% of the variance in sleep disturbances. Conclusions and implications for nursing management Female registered nurses in China experience clinically significant sleep disturbances. Morning fatigue severity along with seven significant influencing factors may be used to identify shift nurses who face a higher risk of sleep disturbances. The back propagation artificial neural networks model could be used as the foundation for health promotion interventions for registered nurses.

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Section: Discussionmentioning

confidence: 99%

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

et al. 2019

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“…The inability to recover from simple acute fatigue can inevitably progress to chronic fatigue, which has long‐term negative effects. Consequences of chronic fatigue on cognitive processes are significant: memory lapses, inadequate information processing, less vigilance or the incapacity to solve problems (Rhéaume & Mullen, ). Consequently, when reaction time is compromised, nurses are more likely to make mistakes during repetitive tasks (Geiger‐Brown et al, ).…”

Section: Literature Reviewmentioning

confidence: 99%

The long‐term effects of psychological demands on chronic fatigue

LeGal¹,

Rhéaume

Mullen

2019

J Nurs Manag

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Aim Investigate the impact of psychological job demands and resources on chronic fatigue. Background Nurse fatigue is a serious problem with negative consequences on patient safety and nurse well‐being. Excessive job demands can exacerbate nurse fatigue, which may limit the ability of nurses to engage in professional practice. Methods This two‐wave study was carried out with a self‐report questionnaire administered to nurses in eastern Canada (n = 154). Cross‐lagged analysis using structural equation modelling was conducted to examine the interactions between psychological job demands, resources and chronic fatigue over time. Results Results showed that psychological job demands predicted chronic fatigue a year later. Nonetheless, job resources (decision latitude, social support) did not buffer the relationship between psychological job demands and chronic fatigue 1 year later. Conclusions Psychological demands have a long‐term effect on chronic fatigue, thus interventions to mitigate fatigue are needed. Implications for Nursing Management Nurse managers should be aware of the cumulative effects of chronic fatigue and implement strategies to create a better balance between job demands and resources in the workplace.

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“…Nurses who work a 12-hour shift experience less total sleep time and less sleep efficiency (Rhéaume & Mullen, 2018), which in turn might impact their concentration during patient care. While a 12-hour night shift might be designed to reduce the danger associated with nurses travelling at night, shifts of this duration can also impact patient safety.…”

Section: Discussionmentioning

confidence: 99%

“…While a 12-hour night shift might be designed to reduce the danger associated with nurses travelling at night, shifts of this duration can also impact patient safety. Nurses who work a 12-hour shift experience less total sleep time and less sleep efficiency (Rhéaume & Mullen, 2018), which in turn might impact their concentration during patient care. Nurses who work greater than or equal to 12-hour shifts also report greater burnout, job dissatisfaction, and intention to leave the profession (Dall'Ora, Griffiths, Ball, Simon, & Aiken, 2015;Stimpfel, 2011;Stimpfel & Aiken, 2013).…”

Section: Discussionmentioning

confidence: 99%

Nurse staffing models in medical‐surgical units of acute care settings: A cross‐sectional study

Assaye

Wiechula

Schultz

et al. 2019

Int J of Nursing Practice

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Background: Nurse staffing models have been developed across different countries to address nursing shortages and improve quality of nursing care. However, there is no published study that describes nurse staffing models in Ethiopian hospitals. Aims:To describe the existing staffing models for nursing practice in acute care units of two hospitals (one public and one private) in Ethiopia. Methods:A cross-sectional study was conducted from July to December 2018. A self-administered questionnaire was used to collect data such as shift patterns, hours worked, and number of patients cared for per shift. Unit-level data on nurse staffing were collected using a checklist developed specifically for this study.Results: Fifty-nine percent (59.9%) of participants reported that they worked six or seven days per week. On average, they worked 50 hours per week and 12% working over 60 hours per week. The number of patients they provided care for during their last shift ranged from four to 45 with an average of 13 patients. Conclusion:This study demonstrates that nurses working in acute care settings in Ethiopia are typically working more than 40 hours per week and caring for many patients per shift, which has the potential to impact patient safety. K E Y W O R D Sacute care, Ethiopia, medical-surgical, nurse staffing, nursing, staffing models SUMMARY STATEMENTWhat is already known about this topic?• Nurse staffing is a critical factor affecting patient safety and nurse workforce outcomes.• There are different staffing models in which staff are assigned to give care for patients in different healthcare settings but much of the research is from high-income countries.What this paper adds?• This paper describes nurse staffing in acute care settings in Ethiopia, a low-income country. The number of patients for whom nurses provide care per shift, and the number of hours nurses provide care per week, is very high compared with other settings.• Nurses work very long hours, often more than 50 hours per week.• Many nurses routinely work or seven days per week and on average nurses care for 13 patients per shift

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The impact of long work hours and shift work on cognitive errors in nurses

Abstract: Aim: Pilot study to examine the impact of long work hours and shift work on cognitive errors in nurses.Background: Twelve-hour shifts are more commonly used in hospital settings and

Cited by 67 publications

References 34 publications

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

A prediction model of sleep disturbances among female nurses by using the BP‐ANN

The long‐term effects of psychological demands on chronic fatigue

Nurse staffing models in medical‐surgical units of acute care settings: A cross‐sectional study

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