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Introduction: Quality improvement (QI) is a major focus of all departments and fields of health care, including emergency medical services. The chaotic and rapidly evolving atmosphere in which paramedics must practice can lead to inconsistency between what is documented and the actual events. This leads to difficulty when trying to evaluate the practitioners and when implementing a QI program. In this study, we evaluated the prevalence of discrepancy between the video and written record for Rapid Sequence Intubation (RSI) performed in the field as a demonstration of the utility of video documentation in QI. Methods: We used a systematic retrospective chart review to compare written with video documentation in 100 consecutive prehospital RSI encounters in a single EMS agency. Results: Of the patient care records (PCRs), only 6% matched the video record for all quality measures tracked. The largest reason for the discrepancy was in the time required to intubate (58%) whether LEMON was evaluated (42%), total number of intubation attempts (36%), first attempt success (24%), BVM used (18%), and whether an airway introducer device was used (12%). Conclusion: Written documentation is inaccurate compared to video documentation when used as a quality improvement process for EMS prehospital RSI encounters.
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Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic exposed and exacerbated health disparities between socioeconomic groups. Our purpose was to determine if age, sex, race, insurance, and comorbidities predicted patients' length of stay (LOS) in the hospital and in-hospital mortality in patients diagnosed with coronavirus disease 2019 (COVID-19) during the early pandemic. Methods Utilizing retrospective, secondarily sourced electronic health record (EHR) data for patients who tested positive for COVID-19 from HCA Healthcare facilities, predictors of LOS and in-hospital mortality were assessed using regression. LOS and in-hospital mortality were assessed using logistic regression and negative binomial regression, respectively. All models included age, insurance status, and sex, while additional covariates were selected using the least absolute shrinkage and selection operator (LASSO) regression. LOS data were presented as incidence rate ratios (IRR), and in-hospital mortality was presented as odds ratios (OR), followed by their 95% confidence intervals (CI). Results There were 111,849 qualifying patient records from March 1, 2020, to August 23, 2020. After excluding those with missing data (n = 7), without clinically confirmed COVID-19 (n = 27,225), and those from a carceral environment (n = 1,861), there were 84,624 eligible patients. Compared to the population of the United States of America, our COVID-19 cohort had a larger proportion of African American patients (23.17% versus 13.4%). The African American patients were more likely to have private insurance providers (28.52% versus 23.68%) and shorter LOS (IRR = 0.88, 95% CI = 0.86-0.90) than the White patient cohort. In addition, the African American versus White patients did not have increased odds (OR = 0.98, 95% CI = 0.96-1.00) of in-hospital mortality. Patients on Medicaid (OR = 1.04, 95% CI = 1.01-1.07) and self-pay (OR = 1.07, 95% CI = 1.00-1.14, noninclusive endpoints) had higher in-hospital mortality than private insurance. Several comorbidities were predictive of an increased LOS, including anxiety (IRR = 1.94, 95% CI = 1.87-2.01) and sedative abuse (IRR = 2.07, 95% CI = 1.63-2.64). Conclusions Race was not associated with increased LOS or in-hospital mortality in patients with COVID-19 infections during the early pandemic. Insurance type, psychiatric comorbidities, and medical comorbidities significantly impacted outcomes in patients with COVID-19. This research and future research in the field should help to determine rational public policies to help mitigate the risk of diseases and their impact on future pandemics.
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BACKGROUND: Tachycardia may be indicative of mental stress, which in turn can decrease performance, reduce information processing capacity, and hinder memory recall. The objective of this study is to examine heart rate trends present among emergency medicine trainees over a standard emergency room shift to measure the frequency and severity of stress experienced while on shift. METHODS: We assessed heart rate in emergency medicine residents using the Empatica E4 device, a mobile wrist-worn physiological monitor. The 31 consenting residents received training in wearing the monitor and uploading the data during a typical critical care shift. Data was deindividualized, compiled, and analyzed with descriptive statistics using Microsoft Excel. RESULTS: Data collected from 31 critical care shifts illustrated that the mean range in HR was 53.9-162.7 bpm per shift and the overall range in HR across all shifts was 49-202.7 bpm. There was a mean of 10.2 peaks in the 120-129.9 bpm range, 11.3 peaks within 130-159.9 bpm, and 1.06 peaks above 160 bpm per shift. The mean length of time that HR rose above 130 bpm was 660.6 s per shift. Only 2 of the 31 shifts examined did not have any accelerations above 130 bpm. CONCLUSIONS: Continuous monitoring of HR in emergency medicine residents during standard critical care shifts using a wrist-worn device found marked elevations suggestive of episodic tachycardia.
