Day of the Week Variation in Emergency Department Arrivals, Chest Pain, and Acute Myocardial Infarction Throughout 2016-2019.

Overcrowding in the Emergency department (ED) necessitates a major challenge in delivering high-quality care in acute settings. This study presents a novel approach to modeling the relationship between the day of the week, ED arrivals, chest pain (CP), and acute myocardial infarction (AMI) using regression analysis. We analyzed data from 2016 to 2019 across three platforms: a nationwide representative sample (NHAMCS), a federated data network (TriNetX), and a regional medical center. For the stated three outcomes, the number of patients in that category on each day of the week was calculated; these were then calculated separately for each year, as well as across all four years. In line with prior studies, this study demonstrates the highest percentage of ED arrival on Mondays and the lowest on the weekends. Similarly, chest pain was more prevalent on Mondays, with similar patterns for TriNetX and the regional medical center. Analyzing NHAMCS data demonstrated Wednesdays as the busiest day for AMI-related ED arrivals, although this observation was not statistically significant. This knowledge will better aid us in resource allocation and system awareness, paving a path toward better patient care, improving disease management, and reducing healthcare costs.

COVID-19-related anxieties: Impact on duty to care among nurses.

BACKGROUND: Duty to care is integral to nursing practice. Personal obligations that normally conflict with professional obligations are likely amplified during a public health emergency such as COVID-19. Organizations can facilitate a nurse's ability to fulfill the duty to care without compromising on personal obligations. RESEARCH AIM: The study aimed to explore the relationships among duty to care, perception of supportive environment, perceived stress, and COVID-19-specific anxieties in nurses working directly with COVID-19 patients. RESEARCH DESIGN: The study design was a cross-sectional descriptive study using an online survey. It was conducted at an ANCC Magnet® designated 385-bed acute care teaching hospital located in a suburban area. PARTICIPANTS AND RESEARCH CONTEXT: Included in this study were 339 medical surgical nurses working directly with COVID-19 patients during the early phase of the pandemic. ETHICAL CONSIDERATIONS: The study was reviewed by the institution's clinical research committee and determined to be exempt. A survey invitation letter with a voluntary implied consent agreement was sent to participants with a description of the research study attached to the anonymous survey. RESULTS: Nurses with specific COVID-19-related anxieties were more likely to agree that it was ethical to abandon the workplace during a pandemic. CONCLUSIONS: Organizations can and ought to mitigate the negative effects of COVID-19 on duty to care in future pandemics and healthcare emergencies by incorporating several recommendations derived from this study.

Covid-19 Mortality in an Acute Care Hospital: Association of Patient Factors With Decision to Forego the Intensive Care Unit.

BACKGROUND: Public awareness of the large mortality toll of COVID-19 particularly among elderly and frail persons is high. This public awareness represents an enhanced opportunity for early and urgent goals-of-care discussions to reduce medically ineffective care. OBJECTIVE: To assess the end-of-life experiences of hospitalized patients dying of COVID-19 with respect to identifying the clinical factors associated with utilization or non-utilization of the ICU. METHODS: Retrospective cohort study of hospital outcomes using electronic medical records and individual chart review from March 15, 2020 to October 15, 2020 of every patient with a COVID-19 diagnosis who died or was admitted to hospice while hospitalized. Logistic regression multivariate analysis was used to identify the clinical and demographic factors associated with non-utilization of the ICU. RESULTS: 133/749 (18%) of hospitalized COVID-19 patients died or were admitted to hospice as a result of COVID-19. Of the 133, 66 (49.6%) had no ICU utilization. In multivariate analysis, the significant patient factors associated with non-ICU utilization were increasing age, normal body mass index, and the presence of an advanced directive calling for limited life sustaining therapies. Race and residence at time of admission (home vs. facility) were significant only in the unadjusted analyses but not in adjusted. Gender was not significant in either form of analyses. CONCLUSION: Goals of care discussions performed by an augmented palliative care team and other bedside clinicians had renewed urgency during COVID-19. Large percentages of patients and surrogates, perhaps motivated by public awareness of poor outcomes, opted not to utilize the ICU.

Learning style preferences of internal medicine residents and in-training examination scores: is there a correlation?

The internal medicine in-training examination (IM-ITE) has been traditionally used as a measuring tool to evaluate the base of knowledge of the residents in internal medicine residency programs across the US. Multiple interventions has been applied and studied to increase the first-time passing rate of ABIM, as it is an indicator of each residency program's performance and ranking. Additionally, studies have demonstrated that different learning styles and preferences are a predictor of exam results; however, it is not well known whether certain preferred learning styles are correlated with certain IM-ITE results. Primary objective of our study was to find a correlation between residents' preferred learning style, based on Kolb learning style inventory, and their PGY1 and PGY2 IM-ITE performance score difference. Secondary objective was to find the correlation between PGY2s' IM-ITE score and their preferred learning styles based on the Kolb learning style inventory. Mean scores of PGY1 and PGY2 IM-ITE were compared in each learning style group. Additionally, the mean difference between the PGY1 and PGY2 IM-ITE scores for each learning group was compared as well. The analysis of the mean IM-ITE score from PGY1 to PGY2 between groups revealed a statistically significant improvement in IM-ITE score from PGY1 to PGY2 in all groups, however, with a larger difference in one of the groups.

Polynomial modeling of emergency department arrivals: An analysis of local and national utilization patterns.

Emergency department (ED) overcrowding is a national problem that is associated with ambulance diversion, decreased patient and provider satisfaction and poor patient outcomes. This study presents a novel approach to modeling the relationship between time of day, day of week, and ED arrivals using a hierarchical polynomial regression model. A series of hierarchical regression models were created to determine polynomial effects and capture the covariability (defined as R2) of the relationships from the 2009 to 2017 National Hospital Ambulatory Medical Care Survey (NHAMCS) Emergency Department Public Use Data File and institutional data from a regional medical center from 2018 to 2019. The following hierarchical regression models were constructed: cubic main effects, cubic interaction effects, quartic main effects, quartic interaction effects, quintic main effects, and quintic interaction effects. Based on maximal improvement in R2 and significance of each of the four effects in both the national and institutional data sets, the quartic main effects model was determined to be optimal for describing ED arrival patterns. In alignment with prior studies, significantly higher ED arrival volumes were observed on Mondays in comparison to all other weekdays.

The Perceptions of Cancer Patients Regarding the Causes and Preventability of Unplanned Hospital Admissions.

OBJECTIVE: The objective of this study was to determine the attitudes of oncology patients regarding the causes and preventability of unplanned hospitalizations. METHODS: Convenience sample using a 36-question survey instrument adapted from prior studies of hospital readmissions. RESULTS: A total of 95 evaluable patients answered >75% of survey items. Majorities (64%) agreed that they desired to avoid the admission, but disagreed (79%) that their own admission was preventable. Patients did not generally express lack confidence in their overall self-management abilities (only 36% agreed) or dissatisfaction with the level of home support, emotional or equipment (only 11% to 26% agreed). Patients did not complain of an inability to access their oncology care team (only 14% agreed), yet a strong majority (79%) endorsed the idea that emergency department visits represent the "quickest and easiest way to get needed care" and that the "hospital is the best place for me when I am sick" (60%). Overall, 79% indicated that their oncology care team directed them to visit the emergency department for evaluation. Most results did not differ by demographic factors. CONCLUSIONS: These results differ from previous results that use methods other than a direct patient survey to determine the preventability or root causes of unplanned hospital admissions/ or readmissions. Accordingly, patient support programs may not address the root causes of unplanned admissions. The use of the emergency department for unplanned care may represent local culture and institutions planning reduction efforts should include patent perceptions to plan a holistic solution.