A Case of Bowen’s Disease and Small-Cell Lung Carcinoma: Long-Term Consequences of Chronic Arsenic Exposure in Chinese Traditional Medicine

Chronic arsenic toxicity occurs primarily through inadvertent ingestion of contaminated water and food or occupational exposure, but it can also occur through medicinal ingestion. This case features a 53-year-old lifetime nonsmoker with chronic asthma treated for 10 years in childhood with Chinese traditional medicine containing arsenic. The patient was diagnosed with Bowen’s disease and developed extensive-stage small-cell carcinoma of the lung 10 years and 47 years, respectively, after the onset of arsenic exposure. Although it has a long history as a medicinal agent, arsenic is a carcinogen associated with many malignancies including those of skin and lung. It is more commonly associated with non–small-cell lung cancer, but the temporal association with Bowen’s disease in the absence of other chemical or occupational exposure strongly points to a causal role for arsenic in this case of small-cell lung cancer. Individuals with documented arsenic-induced Bowen’s disease should be considered for more aggressive screening for long-term complications, especially the development of subsequent malignancies

Конверсионные нарративы кришнаитов в постсоветском Казахстане: неожиданные повороты и траектории

Despite its rapid development in the last decade, infrastructure asset management today suffers from an identity crisis as the definition and scope of infrastructure asset management remains a contentious issue. The purpose of this paper is to trace the evolution of infrastructure asset management and evaluate the current practices. In the process, a framework defining the scope of infrastructure asset management is proposed. Notwithstanding the systematic approach that many organisations adopt to manage their infrastructure assets, this paper argues for the need to adopt a more integrated and strategic perspective in the light of the dynamic contemporary operating environment

Differences in the Quality of Pediatric Resuscitative Care Across a Spectrum of Emergency Departments

Importance: The quality of pediatric resuscitative care delivered across the spectrum of emergency departments (EDs) in the United States is poorly described. In a recent study, more than 4000 EDs completed the Pediatric Readiness Survey (PRS); however, the correlation of PRS scores with the quality of simulated or real patient care has not been described. Objective: To measure and compare the quality of resuscitative care delivered to simulated pediatric patients across a spectrum of EDs and to examine the correlation of PRS scores with quality measures. Design, Setting, and Participants: This prospective multicenter cohort study evaluated 58 interprofessional teams in their native pediatric or general ED resuscitation bays caring for a series of 3 simulated critically ill patients (sepsis, seizure, and cardiac arrest). Main Outcomes and Measures: A composite quality score (CQS) was measured as the sum of 4 domains: (1) adherence to sepsis guidelines, (2) adherence to cardiac arrest guidelines, (3) performance on seizure resuscitation, and (4) teamwork. Pediatric Readiness Survey scores and health care professional demographics were collected as independent data. Correlations were explored between CQS and individual domain scores with PRS. Results: Overall, 58 teams from 30 hospitals participated (8 pediatric EDs [PEDs], 22 general EDs [GEDs]). The mean CQS was 71 (95% CI, 68-75); PEDs had a higher mean CQS (82; 95% CI, 79-85) vs GEDs (66; 95% CI, 63-69) and outperformed GEDs in all domains. However, when using generalized estimating equations to estimate CQS controlling for clustering of the data, PED status did not explain a higher CQS (beta = 4.28; 95% CI, -4.58 to 13.13) while the log of pediatric patient volume did explain a higher CQS (beta = 9.57; 95% CI, 2.64-16.49). The correlation of CQS to PRS was moderate (r = 0.51; P \u3c .001). The correlation was weak for cardiac arrest (r = 0.24; P = .07), weak for sepsis (rho = 0.45; P \u3c .001) and seizure (rho = 0.43; P = .001), and strong for teamwork (rho = 0.71; P \u3c .001). Conclusions and Relevance: This multicenter study noted significant differences in the quality of simulated pediatric resuscitative care across a spectrum of EDs. The CQS was higher in PEDs compared with GEDs. However, when controlling for pediatric patient volume and other variables in a multivariable model, PED status does not explain a higher CQS while pediatric patient volume does. The correlation of the PRS was moderate for simulation-based measures of quality

Community-based in situ simulation: bringing simulation to the masses

Simulation-based methods are regularly used to train inter-professional groups of healthcare providers at academic medical centers (AMC). These techniques are used less frequently in community hospitals. Bringing in-situ simulation (ISS) from AMCs to community sites is an approach that holds promise for addressing this disparity. This type of programming allows academic center faculty to freely share their expertise with community site providers. By creating meaningful partnerships community-based ISS facilitates the communication of best practices, distribution of up to date policies, and education/training. It also provides an opportunity for system testing at the community sites. In this article, we illustrate the process of implementing an outreach ISS program at community sites by presenting four exemplar programs. Using these exemplars as a springboard for discussion, we outline key lessons learned discuss barriers we encountered, and provide a framework that can be used to create similar simulation programs and partnerships. It is our hope that this discussion will serve as a foundation for those wishing to implement community-based, outreach ISS

Preparedness for Pediatric Office Emergencies: A Multicenter, Simulation-Based Study

OBJECTIVES Pediatric emergencies can occur in pediatric primary care offices. However, few studies have measured emergency preparedness, or the processes of emergency care, provided in the pediatric office setting. In this study, we aimed to measure emergency preparedness and care in a national cohort of pediatric offices. METHODS This was a multicenter study conducted over 15 months. Emergency preparedness scores were calculated as a percentage adherence to 2 checklists on the basis of the American Academy of Pediatrics guidelines (essential equipment and supplies and policies and protocols checklists). To measure the quality of emergency care, we recruited office teams for simulation sessions consisting of 2 patients: a child with respiratory distress and a child with a seizure. An unweighted percentage of adherence to checklists for each case was calculated. RESULTS Forty-eight teams from 42 offices across 9 states participated. The mean emergency preparedness score was 74.7% (SD: 12.9). The mean essential equipment and supplies subscore was 82.2% (SD: 15.1), and the mean policies and protocols subscore was 57.1% (SD: 25.6). Multivariable analyses revealed that independent practices and smaller total staff size were associated with lower preparedness. The median asthma case performance score was 63.6% (interquartile range: 43.2–81.2), whereas the median seizure case score was 69.2% (interquartile range: 46.2–80.8). Offices that had a standardized process of contacting emergency medical services (EMS) had a higher rate of activating EMS during the simulations. CONCLUSIONS Pediatric office preparedness remains suboptimal in a multicenter cohort, especially in smaller, independent practices. Academic and community partnerships using simulation can help address gaps and implement important processes like contacting EMS

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

A Many-analysts Approach to the Relation Between Religiosity and Well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates