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.