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Background: The COVID-19 pandemic highlighted the negative impact of moral injury on nurses' well-being. However, there is a lack of research about generational differences among nurses, particularly on newer nurses who have been identified as having a higher rate of intention to leave. Objective: This study examines generational differences among nurses on moral injury, well-being, resilience, and intention to leave their nursing position and profession. Methods: This is a secondary analysis of cross-sectional data from registered nurses in clinical practice in Ohio between July and August 2021. Data on demographics, moral injury, resilience, and well-being were collected using an online survey. Participants were categorized into 4 generational groups based on their age in 2021: Baby Boomers (57-75 years old), Generation X (42-56 years old), Generation Y (27-41 years old), and Generation Z (12-26 years old). Descriptive and inferential statistics, including logistic regression and analysis of variance, were employed for analysis. Results: Significant generational differences were found in years of clinical experience, moral injury, resilience, and well-being. Baby Boomers reported higher well-being and resilience and lower moral injury. Notably, the intention to leave the profession was more strongly associated with well-being and moral injury levels than with the years of experience or generational group. Conclusions: The findings suggest that interventions to improve nurse retention should prioritize enhancing well-being and addressing the root causes of moral injury. Tailored strategies addressing the needs of different generations are necessary for mitigating the adverse effects of current healthcare challenges on nurse attrition. [ABSTRACT FROM AUTHOR]

Background: Supporting the sleep health of surrogate decision-makers of patients in the intensive care unit is a research priority. However, few studies have approached sleep health as a multidimensional construct, instead focusing on 1 or 2 dimensions in isolation. Objective: To holistically examine the sleep health (satisfaction, timing, efficiency, duration) of surrogate decision-makers of critically ill patients. Methods: This secondary analysis involved surrogate decision-makers of incapacitated intensive care unit patients at a tertiary medical center in northeastern Ohio (n = 19). Sleep-health data were captured by means of a subjective scale (satisfaction) and objectively (timing, efficiency, duration) by means of a wrist-worn accelerometer (Actiwatch Spectrum Plus; Philips Respironics). Upon enrollment, participants completed the satisfaction scale and wore the Actiwatch Spectrum Plus for 3 consecutive days. Descriptive statistics of the study variables were evaluated. Results: A minority (15%) of the sample reported poor sleep satisfaction. Sleep timing variables were comparable to those found in other adult studies. Participants averaged approximately 6 hours of sleep per day with an average sleep efficiency of 83.7%. Conclusions: Despite adequate satisfaction scores, intensive care unit surrogate decision-makers' sleep duration is inadequate and sleep efficiency is suboptimal. Sleep-health interventions may be needed in this at-risk population. Future research should consider the impact of surrogate decision-maker sleep health on their capacity to serve in the surrogate decision-maker role. [ABSTRACT FROM AUTHOR]

Uptake of the COVID-19 vaccine by nurses lags behind that of other health care professionals with minimal empirical evidence to understand this phenomenon. In this secondary analysis, we examined nurses' individual and work-related characteristics and their association with COVID-19 vaccination status. Alumni of three Ohio nursing colleges and members of a professional organization were invited to complete questionnaires from June through August 2021. Logistic regression models were used to evaluate associations between nurse characteristics and vaccination status. Among 844 respondents, 754 (80.30%) had received at least one dose of the vaccine. Older age, having a bachelor's degree or higher, and working in critical care were associated with vaccination. Providing direct care for COVID-19 patients in the last 7 days and a higher perception of one's work being affected by COVID-19 were significantly associated with being vaccinated, whereas prior COVID-19 infection was inversely associated with vaccination status. Our findings suggest that COVID-19 vaccine uptake among nurses is influenced by a host of factors related to virus knowledge, beliefs, and risk perceptions. Awareness of these factors can aid the development of interventions to increase nurses' acceptance of vaccines. [ABSTRACT FROM AUTHOR]

Coping with a loved one's critical illness as a surrogate decision-maker (SDM) elicits intense psychological distress. Emotion regulation (ER) may mitigate psychological distress. However, ER tendencies and their effects on psychological distress vary by racial and gender identity, which can inform the tailoring of ER-focused interventions. For this study, we examined between-group differences and the moderating effects of race and gender on ER (reappraisal and suppression) and psychological distress. We recruited 274 SDMs from a Midwestern academic medical center. Men reported a greater tendency to use suppression than women, and SDMs identifying as non-White reported a greater tendency to use reappraisal and suppression. Reappraisal resulted in greater psychological distress for non-White men and less psychological distress for White women. Incorporating tailored ER skill building into supportive interventions may improve the short- and long-term psychological well-being of SDMs, which may improve their ability to make value-concordant decisions and fulfill other informal caregiving responsibilities. [ABSTRACT FROM AUTHOR]

Aims and objectives: The purpose of this study was to report the psychometric properties, including validity and reliability, of the decision fatigue scale (DFS). Background: Decision fatigue may impair nurses' ability to make sound clinical decisions and negatively impact patient care. Given the negative impact of the COVID‐19 pandemic on psychological well‐being and the workplace environment, decision fatigue may be even more apparent among clinical nurses. Valid assessment of this condition among clinical nurses may inform supportive interventions to mitigate the negative sequelae associated with states of decision fatigue. Design: This study was a secondary analysis of a parent study using a cross‐sectional descriptive design. Methods: A convenience sample of 160 staff nurses was recruited online from across the United States. Participants completed a demographic questionnaire and subjective measures of decision fatigue, nursing practice environment scale and traumatic stress. Exploratory factor analysis (EFA), correlation coefficients and internal consistency reliability coefficients were computed to examine the DFS's validity and reliability within this sample. Results: The EFA yielded a single factor, 9‐item version of the DFS. The DFS scores were strongly correlated with traumatic stress and moderately correlated with the nursing practice environment, and the scale displayed appropriate internal consistency. Conclusions: This is the first known study to provide evidence of the DFS's validity and reliability in a sample of registered nurses working during the COVID‐19 pandemic. The results of this study provide evidence of a reliable and valid assessment instrument for decision fatigue that can be used to measure the burden of decision‐making among registered nurses. Relevance to clinical practice: Given the relationship between traumatic stress and the nursing work environment, decision fatigue may be a modifiable target for interventions that can enhance the quality of decision‐making among clinical nurses. [ABSTRACT FROM AUTHOR]

Background: The Hospital Anxiety and Depression Scale (HADS) is commonly used clinically and scientifically among surrogate decision makers for critically ill patients. The validity of the HADS has been scrutinized, but its use among surrogate decision makers has not been examined. Objective: To examine the structural validity of the HADS. Methods: This study was a secondary analysis of data obtained from a 3-arm randomized controlled trial of a decision support intervention. Participants were recruited from 6 intensive care units at a tertiary medical center in Northeast Ohio. Participants were adult surrogate decision makers for critically ill, cognitively impaired adults who were not expected to be discharged from the intensive care unit within the subsequent 48 hours. The fit of 2-factor, 3-factor, and bifactor structures of the HADS was tested with confirmatory factor analysis. Results: The bifactor structure, possessing a general psychological distress factor and anxiety and depression group factors, showed a superior fit and met a priori thresholds for acceptable model fit. The general psychological distress factor accounted for more than 75% of the common variance in the HADS items. Conclusion: Confirmatory factor analysis provided evidence supporting a bifactor structure of the HADS. In this sample, the instrument validly measures psychological distress rather than distinct symptoms of anxiety and depression. Replication of these results is encouraged, and use of alternative measures is recommended when measuring distinct symptoms of anxiety and depression among surrogate decision makers for critically ill patients. [ABSTRACT FROM AUTHOR]

Surrogate decision makers (SDMs) of the critically ill experience intense emotions and transient states of decision fatigue. These factors may increase the cognitive load experienced by electronic decision aids. This cross-sectional study explored the associations of emotion regulation (expressive suppression and cognitive reappraisal) and decision fatigue with cognitive load (intrinsic and extraneous) among a sample of 97 SDMs of the critically ill. After completing subjective measures of emotion regulation and decision fatigue, participants were exposed to an electronic decision aid and completed a subjective measurement of cognitive load. Multiple regression analyses indicated that decision fatigue predicted intrinsic cognitive load and expressive suppression predicted extraneous cognitive load. Emotion regulation and decision fatigue represent modifiable determinants of cognitive load among SDMs exposed to electronic decision aids. [ABSTRACT FROM AUTHOR]

A review of the article "Nurses' Perceptions of Workload Burden in Pediatric Critical Care" that is published within the issue is presented.