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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., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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.

The coronavirus disease 2019 (COVID-19) has had a rapid and sustained negative impact on sleep and mental health in the United States with disproportionate morbidity and mortality among socioeconomically deprived populations. We used multivariable and logistic regression to evaluate the associations among sleep duration, mental health, and socioeconomic deprivation (social deprivation index) in 14,676 Ohio residents from 1101 zip code tabulation areas from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. Higher socioeconomic deprivation was associated with shorter sleep and poorer mental health after adjusting for covariates (age, sex, race, education, income, and body mass index) in the multivariable linear regression models. Those in the highest socioeconomically deprived areas had 1.6 and 1.5 times higher odds of short sleep (duration < 6 h) and poor mental health (>14 poor mental health days), respectively, in the logistic regression models. Previous researchers have focused on limited socio-environmental factors such as crowding and income. We examined the role of a composite area based measure of socioeconomic deprivation in sleep duration and mental health during the first year of COVID-19. Our results suggest the need for a broader framework to understand the associations among socioeconomic deprivation, sleep duration, and mental health during a catastrophic event.

Objective: The aim of this study was to determine relationships between moral injury (MI), well-being, and resilience among staff nurses and nurse leaders practicing during the COVID-19 (coronavirus disease 2019) pandemic., Background: Attention to MI among health professionals, including nurses, increased in 2021, particularly related to the pandemic. Few studies examined MI, well-being, and resilience; even fewer provided implications for leadership/management., Methods: The sample included 676 RNs practicing in Ohio. The electronic survey included assessments of MI, well-being, and resilience distributed via the Ohio Nurses Association and the schools of nursing alumni Listservs., Results: There was a significant association between MI and negative well-being and negative association between MI and resilience. Differences were observed between staff nurses and leaders., Conclusions: This is the first study relating MI, resilience, and well-bring among nurses and nurse leaders during the pandemic. There is a need for additional research to further our understanding about nurses' health and well-being during the pandemic and beyond., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Background: The COVID-19 pandemic has imposed pervasive stress and significant disruptions in sleep health in young adults. The purpose of this study was to describe the perceived facilitators and barriers of sleep health among young adults with type 1 diabetes during the COVID-19 pandemic., Participants: Thirty-two young adults with T1D (87.5% female; mean age = 21.5, SD = 2.0) participated in an online survey between January and July 2021. Young adults between the ages of 18-25 years with T1D for at least 6 months were eligible to participate, while those who had a previous OSA diagnosis, were currently pregnant, or worked the night shift were not eligible to participate., Methods: A qualitative descriptive approach was used to explore the perceived facilitators and barriers to sleep among a convenience sample. Qualitative content was analyzed and coded for themes using qualitative content analysis. Responses were coded using an in vivo approach., Results: Young adults with T1D identified changes in facilitators and barriers of sufficient sleep from before the COVID-19 pandemic to during the pandemic. Three overarching barriers and facilitators were identified: (1) general, (2) diabetes-specific, and (3) COVID-19 specific., Conclusions: Our findings can inform future educational and cognitive-behavioral interventions to promote sleep health in young adults with T1D and other complex chronic conditions. When designing sleep-promoting interventions for young adults with T1D in the COVID-19 pandemic and post-pandemic, researchers should consider T1D as well as COVID-specific barriers and facilitators.

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., (© 2021 John Wiley & Sons Ltd.)

A review of the article "Noninvasive Ventilation for Moderate to Severe Acute Respiratory Distress Syndrome Due to COVID-10" by Alexander A. Botsch and colleagues which appeared in the July 2024 issue of the "American Journal of Critical Care" is presented.