Method for the production of a compact source of atomic line spectra in the vacuum ultraviolet.

Atomic emission spectra provide a means to identify and to gain insight into the electronic structure of emitting or absorbing matter. Detailed procedures are provided for the construction of low-pressure electrodeless discharge lamps that yield targeted emission in the vacuum ultraviolet for the spectroscopic study of water vapor and halogen species aboard an array of airborne observation platforms in the upper atmosphere, as well as in laboratory environments. While specific to the production of Lyman-alpha, atomic chlorine, and atomic bromine emissions in this study, the configuration of the lamps and their interchangeability with respect to operation lend these procedures to constructing sources engaging a wide selection of atomic and molecular spectra with straightforward modifications. The features and limitations of each type of lamp are discussed, as well as methods to improve spectral purity and factors affecting operational lifetime.

Experiences of pursuing an intensivist career in regional and rural Australia: An interview study.

The regional and rural intensivist workforce is vital to delivering high standards of healthcare to all Australians. Currently, there is an impending workforce disaster, with higher senior medical officer vacancy rates among regional and rural intensive care units, with these units being staffed by junior doctors who are in earlier stages of their training, which in turn increases supervisory burden. There is a lack of comprehensive literature on the barriers and enablers of training, recruiting and retaining regional and rural intensivists. To address this gap, a qualitative study was conducted, involving 13 in-depth, structured interviews with full-time and part-time intensivists from eight Australian regional and rural hospitals. Content analysis of the interview data resulted in the identification of four major categories: unique practice context, need for a broad generalist skill set, perks and challenges of working in a regional/rural area and workforce implications. The study findings revealed that regional and rural intensive care practice offers positive aspects, including work satisfaction, supportive local teams and an appealing lifestyle. However, these benefits are counterbalanced by challenges such as a heavier burden of on-call work, a higher proportion of junior staff which increase supervisory burden and limited access to subspecialist services. The implications of these findings are noteworthy and can be utilised to inform government policies, hospitals, the College of Intensive Care Medicine and the Australian and New Zealand College of Anaesthetists in developing strategies to enhance the provision of intensive care services and improve workforce planning in regional and rural areas.

Impact of the Hunga Tonga volcanic eruption on stratospheric composition.

The explosive eruption of the Hunga Tonga-Hunga Ha'apai (HTHH) volcano on 15 January 2022 injected more water vapor into the stratosphere and to higher altitudes than ever observed in the satellite era. Here, the evolution of the stratospherically injected water vapor is examined as a function of latitude, altitude, and time in the year following the eruption (February to December 2022), and perturbations to stratospheric chemical composition resulting from the increased sulfate aerosols and water vapor are identified and analyzed. The average calculated mass distribution of elevated water vapor between hemispheres is approximately 78% Southern Hemisphere (SH) and 22% Northern Hemisphere in 2022. Significant changes in stratospheric composition following the HTHH eruption are identified using observations from the Aura Microwave Limb Sounder satellite instrument. The dominant features in the monthly mean vertical profiles averaged over 15° latitude ranges are decreases in O3 (-14%) and HCl (-22%) at SH midlatitudes and increases in ClO (>100%) and HNO3 (43%) in the tropics, with peak pressure-level perturbations listed. Anomalies in column ozone from 1.2-100 hPa due to the HTHH eruption include widespread O3 reductions in SH midlatitudes and O3 increases in the tropics, with peak anomalies in 15° latitude-binned, monthly averages of approximately -7% and +5%, respectively, occurring in austral spring. Using a 3-dimensional chemistry-climate-aerosol model and observational tracer correlations, changes in stratospheric composition are found to be due to both dynamical and chemical factors.

Racial and ethnic disparities in outcomes through 1 year of life in infants born prematurely: a population based study in California.

OBJECTIVES: To investigate racial/ethnic differences in rehospitalization and mortality rates among premature infants over the first year of life. STUDY DESIGN: A retrospective cohort study of infants born in California from 2011 to 2017 (n = 3,448,707) abstracted from a California Office of Statewide Health Planning and Development database. Unadjusted Kaplan-Meier tables and logistic regression controlling for health and sociodemographic characteristics were used to predict outcomes by race/ethnicity. RESULTS: Compared to White infants, Hispanic and Black early preterm infants were more likely to be readmitted; Black late/moderate preterm (LMPT) infants were more likely to be readmitted and to die after discharge; Hispanic and Black early preterm infants with BPD were more likely to be readmitted; Black LMPT infants with RDS were more likely to be readmitted and die after discharge. CONCLUSIONS: Racial/ethnic disparities in readmission and mortality rates exist for premature infants across several co-morbidities. Future studies are needed to improve equitability of outcomes.

Newborn metabolic vulnerability profile identifies preterm infants at risk for mortality and morbidity.

BACKGROUND: Identifying preterm infants at risk for mortality or major morbidity traditionally relies on gestational age, birth weight, and other clinical characteristics that offer underwhelming utility. We sought to determine whether a newborn metabolic vulnerability profile at birth can be used to evaluate risk for neonatal mortality and major morbidity in preterm infants. METHODS: This was a population-based retrospective cohort study of preterm infants born between 2005 and 2011 in California. We created a newborn metabolic vulnerability profile wherein maternal/infant characteristics along with routine newborn screening metabolites were evaluated for their association with neonatal mortality or major morbidity. RESULTS: Nine thousand six hundred and thirty-nine (9.2%) preterm infants experienced mortality or at least one complication. Six characteristics and 19 metabolites were included in the final metabolic vulnerability model. The model demonstrated exceptional performance for the composite outcome of mortality or any major morbidity (AUC 0.923 (95% CI: 0.917-0.929). Performance was maintained across mortality and morbidity subgroups (AUCs 0.893-0.979). CONCLUSIONS: Metabolites measured as part of routine newborn screening can be used to create a metabolic vulnerability profile. These findings lay the foundation for targeted clinical monitoring and further investigation of biological pathways that may increase the risk of neonatal death or major complications in infants born preterm. IMPACT: We built a newborn metabolic vulnerability profile that could identify preterm infants at risk for major morbidity and mortality. Identifying high-risk infants by this method is novel to the field and outperforms models currently in use that rely primarily on infant characteristics. Utilizing the newborn metabolic vulnerability profile for precision clinical monitoring and targeted investigation of etiologic pathways could lead to reductions in the incidence and severity of major morbidities associated with preterm birth.

The role of health literacy, depression, disease knowledge, and self-efficacy in self-care among adults with heart failure: An updated model.

BACKGROUND: Patients with inadequate health literacy and heart failure face high healthcare costs, more hospitalizations, and greater mortality. To address these negative consequences, patients need to improve heart failure self-care. Multiple factors may influence self-care, but the exact model by which they do so is not fully understood. OBJECTIVES: The objective of this study was to examine a model exploring the contribution of health literacy, depression, disease knowledge, and self-efficacy to the performance of heart failure self-care. METHODS: Using a cross-sectional design, patients were recruited from a heart failure clinic and completed validated assessments of their cognition, health literacy, depression, knowledge, self-efficacy and self-care. Patients were separated into two groups according to their health literacy level: inadequate/marginal and adequate. Differences between groups were assessed with an independent t-test. Hypothesized paths and mediated relationships were estimated and tested using observed variable path analysis. RESULTS: Participants (n = 100) were mainly male (67%), white (93%), and at least had a high school education (85%). Health literacy was associated with disease knowledge (path coefficient=0.346, p = 0.002), depression was negatively associated with self-efficacy (path coefficient=-0.211, p = 0.037), self-efficacy was positively associated with self-care (path coefficient=0.402, p<0.0005), and there was evidence that self-efficacy mediated the link between depression and self-care. There was no evidence of: mediation of the link between health literacy and self-care by knowledge or self-efficacy; positive associations between knowledge and self-efficacy or self-care; or mediation of the disease knowledge and self-care relationship by self-efficacy. Further, depression was associated with self-care indirectly rather than also directly as hypothesized. CONCLUSIONS: Self-efficacy and depression are associated with heart failure self-care. Data generated from the model suggest that healthcare professionals should actively engage all patients to gain self-efficacy and address depression to positively affect heart failure self-care.

Maternal anemia and pregnancy outcomes: a population-based study.

OBJECTIVE: This study aims to describe adverse maternal and neonatal outcomes in women diagnosed with anemia in pregnancy. STUDY DESIGN: This was a retrospective cohort study of California live births from 2007-2012, linked to maternal and infant hospital discharge records. Relative risks of adverse maternal and neonatal outcomes were calculated for women with and without anemia. RESULTS: Anemic mothers were more likely to be diagnosed with hypertension, diabetes, placental abruption, or chorioamnionitis, or require a blood transfusion or admission to the intensive care unit (aRRs 1.2-6.8). Infants born to anemic mothers were more likely to be born preterm (8.9% versus 6.5%), but not more likely to suffer morbidities associated with prematurity. CONCLUSION: In a population-based study, the diagnosis of anemia in pregnancy carries a higher risk of peri-partum, intra-partum, and post-partum complications for the mother, and a higher risk of preterm birth for the infant.

Initial Metabolic Profiles Are Associated with 7-Day Survival among Infants Born at 22-25 Weeks of Gestation.

OBJECTIVE: To evaluate the association between early metabolic profiles combined with infant characteristics and survival past 7 days of age in infants born at 22-25 weeks of gestation. STUDY DESIGN: This nested case-control consisted of 465 singleton live births in California from 2005 to 2011 at 22-25 weeks of gestation. All infants had newborn metabolic screening data available. Data included linked birth certificate and mother and infant hospital discharge records. Mortality was derived from linked death certificates and death discharge information. Each death within 7 days was matched to 4 surviving controls by gestational age and birth weight z score category, leaving 93 cases and 372 controls. The association between explanatory variables and 7-day survival was modeled via stepwise logistic regression. Infant characteristics, 42 metabolites, and 12 metabolite ratios were considered for model inclusion. Model performance was assessed via area under the curve. RESULTS: The final model included 1 characteristic and 11 metabolites. The model demonstrated a strong association between metabolic patterns and infant survival (area under the curve [AUC] 0.885, 95% CI 0.851-0.920). Furthermore, a model with just the selected metabolites performed better (AUC 0.879, 95% CI 0.841-0.916) than a model with multiple clinical characteristics (AUC 0.685, 95% CI 0.627-0.742). CONCLUSIONS: Use of metabolomics significantly strengthens the association with 7-day survival in infants born extremely premature. Physicians may be able to use metabolic profiles at birth to refine mortality risks and inform postnatal counseling for infants born at <26 weeks of gestation.

Racial and Ethnic Disparities in Preterm Infant Mortality and Severe Morbidity: A Population-Based Study.

BACKGROUND: Disparities exist in the rates of preterm birth and infant mortality across different racial/ethnic groups. However, only a few studies have examined the impact of race/ethnicity on the outcomes of premature infants. OBJECTIVE: To report the rates of mortality and severe neonatal morbidity among multiple gestational age (GA) groups stratified by race/ethnicity. METHODS: A retrospective cohort study utilizing linked birth certificate, hospital discharge, readmission, and death records up to 1 year of life. Live-born infants ≤36 weeks born in the period 2007-2012 were included. Maternal self-identified race/ethnicity, as recorded on the birth certificate, was used. ICD-9 diagnostic and procedure codes captured neonatal morbidities (intraventricular hemorrhage, retinopathy of prematurity, periventricular leukomalacia, bronchopulmonary dysplasia, and necrotizing enterocolitis). Multiple logistic regression was performed to evaluate the impact of race/ethnicity on mortality and morbidity, adjusting for GA, birth weight, sex, and multiple gestation. RESULTS: Our cohort totaled 245,242 preterm infants; 26% were white, 46% Hispanic, 8% black, and 12% Asian. At 22-25 weeks, black infants were less likely to die than white infants (odds ratio [OR] 0.76; 95% confidence interval [CI] 0.62-0.94). However, black infants born at 32-34 weeks (OR 1.64; 95% CI 1.15-2.32) or 35-36 weeks (OR 1.57; 95% CI 1.00-2.24) were more likely to die. Hispanic infants born at 35-36 weeks were less likely to die than white infants (OR 0.66; 95% CI 0.50-0.87). Racial disparities at different GAs were also detected for severe morbidities. CONCLUSIONS: The impact of race/ethnicity on mortality and severe morbidity varied across GA categories in preterm infants. Disparities persisted even after adjusting for important potential confounders.

Stratospheric ozone over the United States in summer linked to observations of convection and temperature via chlorine and bromine catalysis.

We present observations defining (i) the frequency and depth of convective penetration of water into the stratosphere over the United States in summer using the Next-Generation Radar system; (ii) the altitude-dependent distribution of inorganic chlorine established in the same coordinate system as the radar observations; (iii) the high resolution temperature structure in the stratosphere over the United States in summer that resolves spatial and structural variability, including the impact of gravity waves; and (iv) the resulting amplification in the catalytic loss rates of ozone for the dominant halogen, hydrogen, and nitrogen catalytic cycles. The weather radar observations of ∼2,000 storms, on average, each summer that reach the altitude of rapidly increasing available inorganic chlorine, coupled with observed temperatures, portend a risk of initiating rapid heterogeneous catalytic conversion of inorganic chlorine to free radical form on ubiquitous sulfate-water aerosols; this, in turn, engages the element of risk associated with ozone loss in the stratosphere over the central United States in summer based upon the same reaction network that reduces stratospheric ozone over the Arctic. The summertime development of the upper-level anticyclonic flow over the United States, driven by the North American Monsoon, provides a means of retaining convectively injected water, thereby extending the time for catalytic ozone loss over the Great Plains. Trusted decadal forecasts of UV dosage over the United States in summer require understanding the response of this dynamical and photochemical system to increased forcing of the climate by increasing levels of CO2 and CH4.

Your Health Care May Kill You: Medical Errors.

Recent studies of medical errors have estimated errors may account for as many as 251,000 deaths annually in the United States (U.S)., making medical errors the third leading cause of death. Error rates are significantly higher in the U.S. than in other developed countries such as Canada, Australia, New Zealand, Germany and the United Kingdom (U.K). At the same time less than 10 percent of medical errors are reported. This study describes the results of an investigation of the effectiveness of the implementation of the MEDMARX Medication Error Reporting system in 25 hospitals in Pennsylvania. Data were collected on 17,000 errors reported by participating hospitals over a 12-month period. Latent growth curve analysis revealed that reporting of errors by health care providers increased significantly over the four quarters. At the same time, the proportion of corrective actions taken by the hospitals remained relatively constant over the 12 months. A simulation model was constructed to examine the effect of potential organizational changes resulting from error reporting. Four interventions were simulated. The results suggest that improving patient safety requires more than voluntary reporting. Organizational changes need to be implemented and institutionalized as well.

Survival and Major Morbidity of Extremely Preterm Infants: A Population-Based Study.

OBJECTIVES: To assess the rates of mortality and major morbidity among extremely preterm infants born in California and to examine the rates of neonatal interventions and timing of death at each gestational age. METHODS: A retrospective cohort study of all California live births from 2007 through 2011 linked to vital statistics and hospital discharge records, whose best-estimated gestational age at birth was 22 through 28 weeks. Major morbidities were based on International Classification of Diseases, Ninth Revision, Clinical Modification codes. Survival beyond the first calendar day of life and procedure codes were used to assess attempted resuscitation after birth. RESULTS: A total of 6009 infants born at 22 through 28 weeks' gestation were included. Survival to 1 year for all live births ranged from 6% at 22 weeks to 94% at 28 weeks. Seventy-three percent of deaths occurred within the first week of life. Major morbidity was present in 80% of all infants, and multiple major morbidities were present in 66% of 22- and 23-week infants. Rates of resuscitation at 22, 23, and 24 weeks were 21%, 64%, and 93%, respectively. Survival after resuscitation was 31%, 42%, and 64% among 22-, 23-, and 24-week infants, respectively. Improved survival was associated with increased birth weight, female sex, and cesarean delivery (P < .01) for resuscitated 22-, 23-, and 24-week infants. CONCLUSIONS: In a population-based study of extreme prematurity, infants ≤24 weeks' gestation are at highest risk of death or major morbidity. These data can help inform recommendations and decision-making for extremely preterm births.

Pre-migration Trauma Exposure and Psychological Distress for Asian American Immigrants: Linking the Pre- and Post-migration Contexts.

Drawing on the life course perspective and the assumptive world theory, this paper examines whether pre-migration trauma exposure is associated with psychological distress through post-migration perceived discrimination for Asian American immigrants. The study is based on cross-sectional data from the National Latino and Asian American Study (N = 1639). Structural equation model is used to estimate the relationship between pre-migration trauma, post-migration perceived discrimination, and psychological distress. Additional models are estimated to explore possible variations across ethnic groups as well as across different types of pre-migration trauma experience. Pre-migration trauma exposure is associated with higher levels of psychological distress, both directly and indirectly through higher level of perceived discrimination, even after controlling for demographic/acculturative factors and post-migration trauma exposure. This pattern holds for the following sub-types of pre-migration trauma: political trauma, crime victimization, physical violence, accidental trauma, and relational trauma. Multi-group analyses show that this pattern holds for all Asian immigrant subgroups except the Vietnamese. Studies of immigrant mental health primarily focus on post-migration stressors. Few studies have considered the link between pre- and post-migration contexts in assessing mental health outcomes. The study illustrates the usefulness of bridging the pre- and post-migration context in identifying the mental health risks along the immigrant life course.

Violent injuries and regional correlates among women in China: results from 21 cities study in China.

BACKGROUND: Ecological models depict violent injuries against women being influenced by both individual and environmental characteristics. However, only few studies examined the association between regional variables and the likelihood of violent injuries. Our study is a preliminary assessment of the impact of regional variables on the likelihood that a woman has experienced violent injuries. METHODS: Participants were 16 866 urban residents, who were identified through a multi-stage sampling process conducted in 21 Chinese cities. Out of the sampled population, 8071 respondents were female. Subsequent analyses focused solely on the female sample. Multilevel logistic regression analyses were performed to examine regional variation in violent injuries. RESULTS: Prevalence of violent injuries against women is 10.7% (95% CI: 7.8%, 15.5%). After controlling for individual-level characteristics, higher regional male-female ratio (OR: 1.97, P < 0.05), population growth rate (OR: 4.12, P < 0.01) and unemployment rate (OR: 2.45, P < 0.01) were all associated with an elevated risk of violent injuries among Chinese women caused by physical attack. CONCLUSIONS: The results suggest violent injuries among Chinese women caused by physical attack have become an important social and public health problem. The findings point to the importance of developing effective health policies, laws and interventions that focuses on the unequal economic development between different regions.

The impact of university provided nurse electronic medical record training on health care organizations: an exploratory simulation approach.

Training providers appropriately, particularly early in their caregiving careers, is an important aspect of electronic medical record (EMR) implementation. Considerable time and resources are needed to bring the newly hired providers 'up to speed' with the actual use practices of the organization. Similarly, universities lose valuable clinical training hours when students are required to spend those hours learning organization-specific EMR systems in order to participate in care during clinical rotations. Although there are multiple real-world barriers to university/health care organization training partnerships, the investment these entities share in training care providers, specifically nurses, to use and understand EMR technology encourages a question: What would be the cumulative effect of integrating a mutually agreed upon EMR system training program in to nursing classroom training on downstream hospital costs in terms of hours of direct caregiving lost, and benefits in terms of number of overall EMR trained nurses hired? In order to inform the development of a large scale study, we employed a dynamic systems modeling approach to simulate the theoretical relationships between key model variables and determine the possible effect of integrating EMR training into nursing classrooms on hospital outcomes. The analysis indicated that integrating EMR training into the nursing classroom curriculum results in more available time for nurse bedside care. Also, the simulation suggests that efficiency of clinical training can be potentially improved by centralizing EMR training within the nursing curriculum.

Stratospheric controlled perturbation experiment: a small-scale experiment to improve understanding of the risks of solar geoengineering.

Although solar radiation management (SRM) through stratospheric aerosol methods has the potential to mitigate impacts of climate change, our current knowledge of stratospheric processes suggests that these methods may entail significant risks. In addition to the risks associated with current knowledge, the possibility of 'unknown unknowns' exists that could significantly alter the risk assessment relative to our current understanding. While laboratory experimentation can improve the current state of knowledge and atmospheric models can assess large-scale climate response, they cannot capture possible unknown chemistry or represent the full range of interactive atmospheric chemical physics. Small-scale, in situ experimentation under well-regulated circumstances can begin to remove some of these uncertainties. This experiment-provisionally titled the stratospheric controlled perturbation experiment-is under development and will only proceed with transparent and predominantly governmental funding and independent risk assessment. We describe the scientific and technical foundation for performing, under external oversight, small-scale experiments to quantify the risks posed by SRM to activation of halogen species and subsequent erosion of stratospheric ozone. The paper's scope includes selection of the measurement platform, relevant aspects of stratospheric meteorology, operational considerations and instrument design and engineering.

Impact of role models and policy exposure on support for tobacco control policies in Hangzhou, China.

OBJECTIVES: To examine how expectations of role models concerning smoking and exposure to tobacco control policies are associated with people's support for smoking bans. METHODS: Face-to-face interviews were conducted using multistage sampling. Employed structural equation modeling to examine the relationships and multi-group analysis to compare cross-group difference between smokers and non-smokers. RESULTS: Expectations of role models were found to be significantly associated with support for FCTC policies related to smoking. Policy exposure indirectly relates to policy support. Cross-group differences between smokers and non-smokers were not significant. CONCLUSION: Expectations of role models are strong predictors of support for FCTC tobacco control policy among Chinese urban residents; policy exposure is associated with policy support indirectly through the influence of expectations of role models. Policymakers should utilize social roles to promote tobacco control measures.

Co-worker characteristics and nurses' safety-climate perceptions.

PURPOSE: Previous research indicates that nurses' safety-climate perceptions are influenced by individual nurse characteristics, leadership, staffing levels and workplace structure. No literature was identified that explored the relationship between nurses' safety climate perceptions and staffing composition in a particular hospital unit. This paper aims to fill some of the gaps in the research in this area. DESIGN/METHODOLOGY/APPROACH: Data supplied by 430 registered nurses working in two Midwestern US hospitals were analyzed to co-worker characteristics such as education, licensure, experience and full- or part-time status. FINDINGS: Registered nurses working in hospitals with proportionally more-experienced nurses perceived their workplaces to be significantly safer for patients. Surprisingly, co-worker licensure, education and full- or part-time status did not significantly influence nurses' safety climate perceptions. PRACTICAL IMPLICATIONS: Findings indicate that safety-climate perceptions vary significantly between hospital units and experienced nurses may act as a resource that promotes a positive safety climate. Hospitals retaining experienced nurses may potentially reduce errors. ORIGINALITY/VALUE: The paper illustrates that the results highlight the importance of providing nurses with an environment that encourages retention and creates a workplace where experienced nurses' skills are best utilized.

Lifestyle behavior change and repeat health risk appraisal participation: a structural equation modeling approach.

PURPOSE: Health risk appraisals (HRAs) have been used to address multiple health concerns and lifestyle behaviors. We explore the longitudinal relationship between emotional health, stage of change for five lifestyle behaviors, and lifestyle risks using HRA-generated data. DESIGN: Secondary analysis of 3 years of HRA data. SETTING: A large health care management services provider. SUBJECTS: A total of 7535 adults employed across three companies who completed consecutive HRAs over a 3-year period. MEASURES: Self-report items concerning participant health, lifestyle behaviors, disease risk factors, job/life satisfaction, safety, and biometrics. ANALYSIS: Structural equation modeling tested a hypothesized longitudinal, fully cross-lagged panel design. RESULTS: Results indicated that greater numbers of physical and behavioral risks classified as high risk were associated with greater intention to change or an actual change in lifestyle behavior in the following year. In addition, poorer emotional health was associated with a higher number of risks. CONCLUSION: Data from repeat participation in HRAs can be useful in studying multiple risk behaviors and related health measures, supporting the design and evaluation of effective, individualized, and responsive health promotion activities for working adults.