Excessive daytime sleepiness in general hospital nurses: prevalence, correlates, and its association with adverse events.

OBJECTIVE: To investigate the prevalence and correlates of excessive daytime sleepiness (EDS) in a population of hospital nurses in South China as well as the influence of EDS on the occurrence of adverse events. METHODS: A total of 1102 nurses working in a large medical center were invited to participate in this cross-sectional study (96.9% females, mean age 29.6 years). They all completed a self-reported questionnaire consisting of items on demographic variables, lifestyle factors, insomnia, anxiety, depression, and both work-related and sleep-related characteristics. RESULTS: A total of 1048 nurses gave a valid response (response rate 95.1%). Among them, 169 (16.1%) reported EDS as defined as an Epworth Sleepiness Scale ≥ 14. Depression (adjusted odds ratio = 2.24, 95% confidence interval 1.51-3.31), anxiety (1.65; 1.02-2.67), insomnia (2.29; 1.56-3.36), rotating shift work (1.98; 1.03-3.83), and low interest in work (1.74; 1.01-2.99) were all independent risk factors of the occurrence of EDS. EDS is associated with the occurrence of adverse events after controlling for confounding factors (adjusted OR 1.83, CI 1.26 to 2.67). CONCLUSIONS: EDS was common among this relatively young and healthy nurse population in south China. There were clear associations between EDS and depression, anxiety, insomnia, rotating shift work, and low work-related interest. Furthermore, EDS was an independent risk factor in the occurrence of adverse events (AEs) in our subjects.

Measuring subjective sleepiness at work in hospital nurses: validation of a modified delivery format of the Karolinska Sleepiness Scale.

INTRODUCTION: Sleepiness during the work shift is common and can be hazardous to workers and, in the case of nurses, to patients under their care. Thus, measuring sleepiness in occupational studies is an important component of workplace health and safety. The Karolinska Sleepiness Scale (KSS) is usually used as a momentary assessment of a respondent's state of sleepiness; however, end-of-shift measurement is sometimes preferred based on the study setting. We assessed the predictive validity of the KSS as an end-of-shift recall measurement, asking for "average" sleepiness over the shift and "highest" level of sleepiness during the shift. METHOD: Hospital registered nurses (N=40) working 12-h shifts completed an end-of-shift diary over 4 weeks that included the National Aeronautical and Space Administration Task Load Index (NASA-TLX) work intensity items and the KSS (498 shifts over 4 weeks). Vigilant attention was assessed by measuring reaction time, lapses, and anticipations using a 10-min performance vigilance task (PVT) at the end of the shift. The Horne-Ostberg Questionnaire, Epworth Sleepiness Scale, General Sleep Disturbance Scale, and Cleveland Sleep Habits Questionnaire were also collected at baseline to assess factors that could be associated with higher sleepiness. We hypothesized that higher KSS scores would correlate with vigilant attention parameters reflective of sleepiness (slower reaction times and more lapses and anticipations on a performance vigilance task) and also with those factors known to produce higher sleepiness. These factors included the following: (1) working night shifts, especially for those with "morningness" trait; (2) working sequential night shifts; (3) having low physical and mental work demands and low time pressure; (4) having concomitant organic sleep disorders; and (5) having greater "trait" sleepiness (Epworth Sleepiness Scale). Linear mixed models and generalized linear mixed models were used to test associations that could assess the predictive validity of this format of administering the KSS. RESULTS: Greater sleepiness, as measured by higher KSS scores, was found on shifts with nurses working night shift, the third sequential night compared to the first, those with sleep disorder symptoms (especially insomnia), and in nurses with trait sleepiness on the Epworth scale. Less sleepiness (lower KSS scores) was seen in shifts with a high level of time pressure and in nurses with a biologic predisposition to be more alert in the morning (morningness trait) who worked the day shift. CONCLUSION: We found partial support for using the Karolinska Sleepiness Scale in the recalled format based on our multiple tests of predictive validity.

Nursing Interventions Improve Continuous Positive Airway Pressure Adherence in Obstructive Sleep Apnea With Excessive Daytime Sleepiness: A Systematic Review.

PURPOSE: The purpose of this systematic review was to summarize the effectiveness of interventions in the literature to improve adherence to continuous positive airway pressure (CPAP) treatment in patients with excessive daytime sleepiness. METHODS: In this review, we considered only randomized controlled trials that included interventions to improve CPAP adherence in adult obstructive sleep apnea (OSA) patients with high daytime sleepiness. FINDINGS: Eight trials were included in this review. The types of interventions to improve adherence to CPAP can be grouped into educational, technological, pharmacological, and multidimensional interventions. CONCLUSIONS AND CLINICAL RELEVANCE: Educational programs can increase CPAP adherence in OSA patients. As nurses are the main clinicians responsible for device use for patients, the therapeutic strategies to improve CPAP adherence are important in their clinical setting. Therefore, the nursing work related to the use of CPAP has a great impact on the quality of life and mortality of patients with OSA.

The relationship between nurse work schedules, sleep duration, and drowsy driving.

STUDY OBJECTIVES: Recent studies have shown that extended shifts worked by hospital staff nurses are associated with significantly higher risk of errors, yet little information is available about the ability to remain alert during the nurses' commutes following the completion of an extended work shift. The purpose of this study is to describe the prevalence of drowsy driving episodes and the relationship between drowsy driving and nurse work hours, alertness on duty, working at night, and sleep duration. PARTICIPANTS: Data were collected from 2 national random samples of registered nurses (n=895). MEASUREMENTS AND RESULTS: Full-time hospital staff nurses (n=895) completed logbooks on a daily basis for 4 weeks providing information concerning work hours, sleep duration, drowsy and sleep episodes at work, and drowsy driving occurrences. Almost 600 of the nurses (596/895) reported at least 1 episode of drowsy driving, and 30 nurses reported experiencing drowsy driving following every shift worked. Shorter sleep durations, working at night, and difficulties remaining awake at work significantly increased the likelihood of drowsy driving episodes. CONCLUSIONS: Given the large numbers of nurses who reported struggling to stay awake when driving home from work and the frequency with which nurses reported drowsy driving, greater attention should be paid to increasing nurse awareness of the risks and to implementing strategies to prevent drowsy driving episodes to ensure public safety. Without mitigation, fatigued nurses will continue to put the public and themselves at risk.

"And mostly they have a need for sleeping pills": physicians' views on treatment of sleep disorders with drugs in nursing homes.

The percentage of nursing home residents treated with hypnotic medications is high, as many authors report, despite the fact that such medications are almost always associated with undesirable effects for old people. This article takes a closer look at nursing home physicians' views of prescriptions when treating sleep disorders of nursing home residents. How do physicians characterize the treatment strategy for residents suffering from sleep disorders? How do they balance the benefits and risks of the hypnotic medication? Under what circumstances do they accept negative consequences? To answer these questions, N=20 physicians (aged 36 to 68 years) in 16 nursing homes in a German city were interviewed. The physicians were either employed by nursing homes or worked on a contract basis. Comparative categorization of the data produced a typology across cases. Three interpretative patterns concerning the use of drugs for treating sleep disorders were identified--"by request," "ambivalence," and "reflected prescription." Differences between them were determined by the significance of residents' wishes, neglect of risks, particularly that of addiction, and the attempt to balance benefits and disadvantages. The study showed deficits in professional management of sleep disorders in nursing homes.