A composite measure of sleep health is associated with glycaemic target achievement in young adults with type 1 diabetes.

We investigated whether sleep health (each individual dimension and a composite measure) was associated with better glycaemia among a cohort of young adults with type 1 diabetes (mean age 21.5 years, mean body mass index 24.55 kg m-2 ). Multiple validated self-report questionnaires were completed, and raw continuous glucose monitor data were shared. One self-reported sleep characteristic for each of the five sleep health dimensions was selected. A composite score was calculated by summing the number of "good" sleep health dimensions. We evaluated the associations between sleep health and glycaemia, and whether covariates, including age, type 1 diabetes duration and sleep apnea risk, influenced the relationships among the study variables using multivariable linear regression. Individual dimensions of sleep satisfaction (ß = 0.380, p = 0.019; ß = -0.414, p = 0.010), timing (ß = 0.392, p = 0.015; ß = -0.393, p = 0.015) and sleep efficiency (ß = 0.428, p = 0.007) were associated with higher achievement of glycaemic targets (J-index and time in range); however, these associations did not persist after considering covariates. A better Sleep Health Composite score was associated with higher achievement of glycaemic targets even after considering covariates. Using a multidimensional framework can guide future research on causal pathways between sleep and diabetes health, interventions to target sleep health profiles, and may improve sleep screening in routine diabetes care.

The relationships between the healthy nurse, Healthy Nation program, RN perceptions of their work system, and health-related quality of life.

BACKGROUND: There is limited research on the effects of nationally oriented health care workforce interventions on RNs' perceptions of their work systems and health-related quality of life (HRQOL). PURPOSE: Guided by a systems framework, we examined the association of being affiliated with an organization partnered with the American Nurses Association's Healthy Nurse, Healthy Nation (HNHN) program on RNs' perceptions of their work systems and HRQOL. METHODS: We performed a correlational, cross-sectional secondary analysis of a national RN sample (N = 2,166) with case-control matching. We used multiple linear and logistic regressions to evaluate our research questions. DISCUSSION: Affiliation with an HNHN partner organization was directly associated with more desirable work system perceptions, and indirectly associated with greater HRQOL. Organization-level workplace interventions hold promise to improve RN working conditions and well-being. CONCLUSION: There is an ongoing need to continue developing and evaluating scalable workplace well-being interventions for health care organizations.

Individual and Work-Related Characteristics Associated with COVID-19 Vaccination Status among Ohio Nurses.

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.

"Feeling Anxious about Catching COVID": Facilitators and Barriers of Sleep Health among Young Adults with Type 1 Diabetes.

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.

Moral Injury, Nurse Well-being, and Resilience Among Nurses Practicing During the COVID-19 Pandemic.

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.

Decision fatigue among clinical nurses during the COVID-19 pandemic.

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.

Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data.

BACKGROUND: Building nursing research data repositories with the goal of comparing and synthesizing results across numerous studies and public sharing of data is still in early stages of development. OBJECTIVES: We describe the process of using common data elements (CDEs) to build a data repository for research addressing self-management of chronic conditions. Issues in the development of CDEs, lessons learned in the creation of a combined data set across seven studies of different chronic condition populations, and recommendations for creating and sharing harmonized nursing research data sets are provided. METHODS: In 2014, at initiation of a National Institutes of Health-funded Centers of Excellence in Self-Management Research, our center investigators defined a set of CDEs for use in future center-funded pilot studies consisting of populations having different chronic conditions with the intent to combine the study data sets. Over the next 4 years, center investigators were provided with standardized codebooks and data collection protocols for applying the CDEs and data storage. Data from seven pilot studies were subsequently combined. RESULTS: Although each pilot study was small-with sample sizes ranging from 18 to 31 participants-our combined data set of 179 participants provides us with a sample size sufficient to conduct analyses that could not be done with the individual small samples alone. The research data repository addressing self-management of chronic conditions will soon be available for public sharing. DISCUSSION: Our experience demonstrates that, with careful, upfront planning and ongoing vigilant oversight, CDEs can be applied across studies consisting of different chronic condition populations to combine data sets to create research data repositories for public sharing.

A psychometric evaluation of the Family Decision-Making Self-Efficacy Scale among surrogate decision-makers of the critically ill.

OBJECTIVES: The purpose of this study was to report the psychometric properties, in terms of validity and reliability, of the Unconscious Version of the Family Decision-Making Self-Efficacy Scale (FDMSE). METHODS: A convenience sample of 215 surrogate decision-makers for critically ill patients undergoing mechanical ventilation was recruited from four intensive care units at a tertiary hospital. Cross-sectional data were collected from participants between days 3 and 7 of a decisionally impaired patient's exposure to acute mechanical ventilation. Participants completed a self-report demographic form and subjective measures of family decision-making self-efficacy, preparation for decision-making, and decisional fatigue. Exploratory factor analyses, correlation coefficients, and internal consistency reliability estimates were computed to evaluate the FDMSE's validity and reliability in surrogate decision-makers of critically ill patients. RESULTS: The exploratory factor analyses revealed a two-factor, 11-item version of the FDMSE was the most parsimonious in this sample. Furthermore, modified 11-item FDMSE demonstrated discriminant validity with the measures of fatigue and preparation for decision-making and demonstrated acceptable internal consistency reliability estimates. SIGNIFICANCE OF RESULTS: This is the first known study to provide evidence for a two-factor structure for a modified, 11-item FDMSE. These dimensions represent treatment and palliation-related domains of family decision-making self-efficacy. The modified FDMSE is a valid and reliable instrument that can be used to measure family decision-making self-efficacy among surrogate decision-makers of the critically ill.

Comparing cognitive load levels among family members of the critically ill exposed to electronic decision aids.

Cognitive load predicts one's ability to process information and learn from decision support interventions. The present study compared intrinsic and extraneous cognitive load levels resulting from exposure to two different electronic decision aids. A convenience sample of ninety-seven surrogate decision makers for critically ill patients were randomly assigned to receive either a single dose of a video-based or avatar-based decision aid. Intrinsic and extraneous cognitive load levels among recipients of the video-based decision support resource were lower than recipients of the avatar-based decision support resource. After controlling for age, the observed differences in intrinsic cognitive load were not significantly different, whereas the observed differences in extraneous cognitive load remained. Extraneous cognitive load is a modifiable factor to consider for future developers of decision support interventions that may determine the efficacy of efforts to support patients and family members with decision making.

A preliminary psychometric evaluation of the eight-item cognitive load scale.

AIM: The aim of this article is to report the psychometric properties of the eight-item cognitive load scale. BACKGROUND: According to cognitive load theory, the formatting and delivery of healthcare education influences the degree to which patients and/or family members can engage their working memory systems for learning. However, despite its relevance, cognitive load has not yet been evaluated among surrogate decision makers exposed to electronic decision support for healthcare decisions. To date, no psychometric analyses of instruments evaluating cognitive load have been reported within healthcare settings. METHODS: A convenience sample of 62 surrogate decision makers for critically ill patients were exposed to one of two healthcare decision support interventions were recruited from four intensive care units at a tertiary medical center in Northeast Ohio. Participants were administered a battery of psychosocial instruments and the eight-item cognitive load scale (CLS). RESULTS: The CLS demonstrated a bidimensional factor structure with acceptable discriminant validity and internal consistency reliability (Cronbach's α = 0.75 and 0.89). CONCLUSIONS: The CLS is a psychometrically sound instrument that may be used in the evaluation of decision support among surrogate decision makers of the critically ill. The authors recommend application of the cognitive load scale in the evaluation and development of healthcare education and interventions.

IMPACT OF A SERIOUS GAME FOR HEALTH ON CHRONIC DISEASE SELF-MANAGEMENT: PRELIMINARY EFFICACY AMONG COMMUNITY DWELLING ADULTS WITH HYPERTENSION.

Most Americans will acquire a chronic disease during their lifetime. One of the most prevalent chronic diseases that affect Americans is hypertension (HTN). Despite the known comorbidities and increased mortality rate associated with uncontrolled HTN, most community dwelling adults with HTN do not have sufficient blood pressure control Therefore, the aim of this article is to report the preliminary efficacy of a serious game for health to enhance blood pressure control among community dwelling adults with HTN. A nonprobability sample of 116 community dwelling adults with HTN participated in this nonblinded, randomized controlled trial. Participants were randomly assigned to: (1) an intervention arm that consisted of four exposures to a serious game for health known as eSMART-HD; or (2) an attentional control arm that compromised of four exposures to screen-based HTN education. The primary outcome measure for this trial was blood pressure reduction over a four month observational period. In this study, baseline characteristics and blood pressure measurements were similar between participants in each study arm. There was no significant between-group difference in blood pressure reduction over time. However, there were significant within-group reductions in systolic and diastolic blood pressures across time among favoring participants exposed to eSMART-HD. This study establishes the preliminary efficacy of eSMART-HD that can be easily administered to community dwelling adults and facilitate clinically significant reductions in systolic and diastolic blood pressures. Future studies should assess the influential components of this promising serious game for health (eSMART-HD) combined with medication management in larger and more diverse samples of community dwelling adults with HTN.

Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study. OBJECTIVE: The objective of this cross-sectional study was to determine whether internet-based recruitment through multiple social media platforms, a clinical research platform, and cooperation with community partnerships-College Diabetes Network and Beyond Type 1-would serve as an effective way to recruit a representative sample of young adults aged 18-25 years with type 1 diabetes (T1D). METHODS: We conducted a repeated-measures descriptive study. We captured enrollment rates and participant characteristics acquired from each social media platform through survey data and Facebook analytics. This study was advertised via paid postings across a combination of different social media platforms (eg, Facebook, Instagram, Twitter, and Reddit). We used quarterly application postings, quarterly newsletters, and participation in the ResearchMatch registry to identify potentially eligible participants from February 3, 2021, to June 6, 2022. RESULTS: ResearchMatch proved to be the most cost-effective strategy overall, yielding the highest gender and racial diversity compared to other internet platforms (eg, Facebook, Instagram, Twitter, and Reddit), application postings (eg, Beyond Type 1), and newsletters (eg, College Diabetes Network and a local area college). However, we propose that the combination of these approaches yielded a larger, more diverse sample compared to any individual strategy. Our recruitment cost was US $16.69 per eligible participant, with a 1.27% conversion rate and a 30% eligibility rate. CONCLUSIONS: Recruiting young adults with T1D across multiple internet-based platforms was an effective strategy to yield a moderately diverse sample. Leveraging various recruitment strategies is necessary to produce a representative sample of young adults with T1D. As the internet becomes a larger forum for study recruitment, participants from underrepresented backgrounds may continue engaging in research through advertisements on the internet and other internet-based recruitment platforms.

Longitudinal Associations Among Symptoms of Family Intensive Care Unit Syndrome.

BACKGROUND: Family intensive care unit (ICU) syndrome, a comorbid response to another person's stay in the ICU, is characterized by emotional distress, poor sleep health, and decision fatigue. OBJECTIVES: This pilot study examined associations among symptoms of emotional distress (anxiety and depression), poor sleep health (sleep disturbance), and decision fatigue in a sample of family members of patients in the ICU. METHODS: The study used a repeated-measures, correlational design. Participants were 32 surrogate decision makers of cognitively impaired adults who had at least 72 consecutive hours of mechanical ventilation within the neurological, cardiothoracic, and medical ICUs at an academic medical center in northeast Ohio. Surrogate decision makers with a diagnosis of hypersomnia, insomnia, central sleep apnea, obstructive sleep apnea, or narcolepsy were excluded. Severity of symptoms of family ICU syndrome was measured at 3 time points in 1 week. Zero-order Spearman correlations of the study variables were interpreted at baseline and partial Spearman correlations of study variables were interpreted 3 days and 7 days after baseline. RESULTS: The study variables showed moderate to large associations at baseline. Baseline anxiety and depression were associated with each other and with decision fatigue at day 3. Baseline sleep disturbance was associated with anxiety, depression, and decision fatigue at day 7. CONCLUSIONS: Understanding the temporal dynamics and mechanisms of the symptoms of family ICU syndrome can inform clinical, research, and policy initiatives that enhance the provision of family-centered critical care.

Differences among physical activity actigraphy algorithms in three chronic illness populations.

OBJECTIVES: In three chronic illness populations and in a combined sample, we assessed differences in two algorithms to determine wear time (WT%) and four algorithms to determine: Kilocalories, light physical activity (PA), moderate-to-vigorous PA (MVPA), and metabolic equivalents (METs). METHODS: Data were collected from 29 people living with HIV (PLHIV), 27 participants recovering from a cardiac event, and 15 participants with hypertension (HTN). Participants wore the ActiGraphTM wGT3X-BT for > 3 days on their hip. Analysis of variance (ANOVA) was used to assess differences among the algorithms. RESULTS: No differences were found between the two algorithms to assess WT% or among the four algorithms to assess kilocalories in each of the chronic illness populations or in the combined sample. Significant differences were found among the four algorithms for light PA (p < .001) and METs (p < .001) in each chronic illness population and in the combined sample. MVPA was significantly different among the four algorithms in the PLHIV (p = .007) and in the combined sample (p < .001), but not in the cardiac (p = .064) or HTN samples (p = .200). DISCUSSION: Our findings indicate that the choice of algorithm does make a difference in PA determination. Differences in algorithms should be considered when comparing PA across different chronic illness populations.

Environmental exposures and blood pressure in adolescents and adults in the T1D exchange clinic registry.

AIMS: To examine the associations between environmental determinants of health and blood pressure and whether age, sex, or race moderated the associations among 18,754 adolescents and adults from the type 1 diabetes (T1D) Exchange Clinic Registry. METHODS: We used multivariable linear regression. Environmental determinants included exposure to ambient fine particulate matter (PM2.5, obtained from an integrated model), nitrogen dioxide (NO2), noise and light pollution, and the normalized difference vegetation index (NDVI, a marker of green space) at the ZIP code level of residence. RESULTS: Higher exposure to PM2.5 and NO2, and lower NDVI, was associated with higher systolic and diastolic blood pressure, and higher light pollution exposure were similarly associated with higher diastolic blood pressure. These associations between environmental exposures and blood pressure remained significant after accounting for other covariates (age, sex, race/ethnicity, BMI, and T1D duration). With aging, the negative association between NDVI and blood pressure weakened. CONCLUSIONS: These findings emphasize the significance of minimizing exposure to environmental pollutants, including PM2.5 and NO2, as well as ensuring access to areas with higher NDVI, to promote cardiovascular health in individuals with T1D.

Sociocultural Moderators of Emotion Regulation in Family Members of the Critically Ill.

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.

Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic.

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.

Sleep Interventions for Informal Caregivers of Persons with Dementia: A Systematic Review.

We conducted a systematic review on the state of the science related to sleep interventions for informal caregivers of persons with Alzheimer's disease or related dementia (ADRD). This review included English-written, peer-reviewed articles that studied the effect of an intervention on sleep health outcomes for informal caregivers of persons with ADRD. Our search yielded 15 articles that met our a priori inclusion criteria. We categorized interventions into four categories: environmental, physical, cognitive, and collaborative. Intervention effects were heterogeneous, with most yielding nonsignificant sleep health effects. There is a need for theoretically sound and robust sleep health interventions for informal caregiver samples. Future research in this area could benefit from the use of more controlled, pragmatic, and adaptive research designs, and the use of objective measures that conceptually represent the multiple domains of sleep health to enhance intervention quality.

Structural Validity of the Hospital Anxiety and Depression Scale Among Family Members of Critically Ill Patients.

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.

Decision fatigue: A conceptual analysis.

Decision fatigue is an applicable concept to healthcare psychology. Due to a lack of conceptual clarity, we present a concept analysis of decision fatigue. A search of the term "decision fatigue" was conducted across seven research databases, which yielded 17 relevant articles. The authors identified three antecedent themes (decisional, self-regulatory, and situational) and three attributional themes (behavioral, cognitive, and physiological) of decision fatigue. However, the extant literature failed to adequately describe consequences of decision fatigue. This concept analysis provides needed conceptual clarity for decision fatigue, a concept possessing relevance to nursing and allied health sciences.