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Staten Island University Hospital is located in NYC, where the opioid epidemic has resulted in significant mortalities from unintentional overdoses. In 2013 as a response to the rising threat to our community, our Emergency Department (ED) administration adopted a clinical practice policy focused on decreasing the prescription of controlled substances. The effects of this policy on our provider prescription patterns are presented here. A retrospective chart review of patients prescribed opioids from the ED before and after policy implementation was performed. Dates chosen for analysis was November 1, 2012 through January 31, 2013 and November 1, 2013 through January 31, 2014; these time periods were used to serve as a seasonally comparative group pre and post clinical practice policy implementation. Opioids written for the treatment of cough, and for children under eighteen were excluded from analysis. Patient age, sex, diagnoses, and prescription formulation, strength, and pill number was recorded for each patient receiving an opioid prescription. There was a drop in the total prescriptions from 1756 to 1128 without a change in the average number of pills (12.78 vs 12.44) or average total dose prescribed (69.39 vs 68.98) mg of morphine equivalent per prescription. Additionally, there were sizable reductions in opioid prescriptions written for arthralgias/myalgias, dental pain, soft tissue injuries, and headaches. The opioid clinical policy had a clear effect in decreasing the number of patients prescribed opioids. Such policies may be the key to reducing the epidemic and saving lives from unintentional opioid overdoses.

The concept of \"direct to room\" (DTR) and \"immediate bedding\" has been described in the literature as a mechanism to improve front-end, emergency department (ED) processing. The process allows for an expedited clinician-patient encounter. An unintended consequence of DTR was a time delay in obtaining the initial set of vital signs upon patient arrival. This retrospective cohort study was conducted at a single, academic, tertiary-care facility with an annual census of 94,000 patient visits. Inclusion criteria were all patients who entered the ED from 11/1/15 to 5/1/16 and between the hours of 7 am to 11 pm. During the implementation period, a vital signs station was created and a personal care assistant was assigned to the waiting area with the designated job of obtaining vital signs on all patients upon arrival to the ED and prior to leaving the waiting area. Time to first vital sign documented (TTVS) was defined as the time from quick registration to first vital sign documented. The pre-implementation period, mean TTVS was 15.3 minutes (N= 37,900). The post-implementation period, mean TTVS was 9.8 minutes (N= 39,392). The implementation yielded a 35% decrease and an absolute reduction in the average TTVS of 5.5 minutes ( <0.0001). This study demonstrated that the coupling of registration and a vital signs station was successful at overcoming delays in obtaining the time to initial vital signs.

In 2017, the Standardized Video Interview (SVI) was required for applicants to emergency medicine (EM). The SVI contains six questions highlighting professionalism and interpersonal communication skills. The responses were scored (6-30). As it is a new metric, no information is available on correlation between SVI scores and other application data. This study was to determine if a correlation exists between applicants' United States Medical Licensing Examination (USMLE) and SVI scores. We hypothesized that numeric USMLE Step 1 and Step 2 Clinical Knowledge (CK) scores would not correlate with the SVI score, but that performance on the Step 2 Clinical Skills (CS) portion may correlate with the SVI since both test communication skills. Nine EM residency sites participated in the study with data exported from an Electronic Residency Application Service (ERAS®) report. All applicants with both SVI and USMLE scores were included. We studied the correlation between SVI scores and USMLE scores. Predetermined subgroup analysis was performed based on applicants' USMLE Step 1 and Step 2 CK scores as follows: (≥ 200, 201-220, 221-240, 241-260, >260). We used linear regression, the Kruskal-Wallis test and Mann-Whitney U test for statistical analyses. 1,325 applicants had both Step 1 and SVI scores available, with no correlation between the overall scores (p=0.58) and no correlation between the scores across all Step 1 score ranges, (p=0.29). Both Step 2 CK and SVI scores were available for 1,275 applicants, with no correlation between the overall scores (p=0.56) and no correlation across all ranges, (p=0.10). The USMLE Step 2 CS and SVI scores were available for 1,000 applicants. Four applicants failed the CS test without any correlation to the SVI score (p=0.08). We found no correlation between the scores on any portion of the USMLE and the SVI; therefore, the SVI provides new information to application screeners.

In 2017, all medical students applying for residency in emergency medicine (EM) were required to participate in the Standardized Video Interview (SVI). The SVI is a video-recorded, uni-directional interview consisting of six questions designed to assess interpersonal and communication skills and professionalism. It is unclear whether this simulated interview is an accurate representation of an applicant's competencies that are often evaluated during the in-person interview. The goal of this study was to determine whether the SVI score correlates with a traditional in-person interview score. Six geographically and demographically diverse EM residency programs accredited by the Accreditation Council for Graduate Medical Education participated in this prospective observational study. Common demographic data for each applicant were obtained through an Electronic Residency Application Service export function prior to the start of any scheduled traditional interviews (TI). On each TI day, one interviewer blinded to all applicant data, including SVI score, rated the applicant on a five-point scale. A convenience sample of applicants was enrolled based on random assignment to the blinded interviewer. We studied the correlation between SVI score and TI score. We included 321 unique applicants in the final analysis. Linear regression analysis of the SVI score against the TI score demonstrated a small positive linear correlation with an r coefficient of +0.13 (p=0.02). This correlation remained across all SVI score subgroups (p = 0.03). Our study suggests that there is a small positive linear correlation between the SVI score and performance during the TI.

The Press Ganey (PG) survey is a patient experience survey mailed to patients upon discharge from the emergency department (ED). It is a nationally recognized survey that is commonly used to measure patient's perception of the healthcare delivered. Emergency medicine physicians at Staten Island University Hospital staff two distinct sites: a tertiary-care setting (SIUH-N) and a community setting (SIUH-S). The goal of our study was to compare the effect of different ED practice settings, within the same hospital and healthcare system, on individual attending physician PG scores. This was a retrospective, observational study of EM physicians, conducted at Staten Island University Hospital between January 1, 2015 and December 31, 2016. Physicians with PG survey responses from both sites were included. The number of responses and mean scores for the four doctor specific survey questions and the doctor overall score were extracted from PG surveys. Mean PG scores at SIUH-N were significantly lower than the mean scores at SIUH-S in each of the four doctor-specific questions, as well as the doctor overall score (p < 0.05). 16 out of 18 doctors demonstrated higher doctor overall scores at SIUH-S. Variables other than the individual doctor may be influencing the PG survey responses and perceptions of care. The PG survey may underestimate the impact of different practice settings on individual doctor PG scores.

Introduction On October 29, 2012, Hurricane Sandy touched down in New York City (NYC; New York USA) causing massive destruction, paralyzing the city, and destroying lives. Research has shown that considerable damage and loss of life can be averted in at-risk areas from advanced preparation in communication procedures, evacuation planning, and resource allocation. However, research is limited in describing how natural disasters of this magnitude affect emergency departments (EDs). Hypothesis/Problem The aim of this study was to identify and describe trends in patient volume and demographics, and types of conditions treated, as a result of Hurricane Sandy at Staten Island University Hospital North (SIUH-N; Staten Island, New York USA) site ED. A retrospective chart review of patients presenting to SIUH-N in the days surrounding the storm, October 26, 2012 through November 2, 2012, was completed. Data were compared to the same week of the year prior, October 28, 2011 through November 4, 2011. Daily census, patient age, gender, admission rates, mode of arrival, and diagnoses in the days surrounding the storm were observed. A significant decline in patient volume was found in all age ranges on the day of landfall (Day 0) with a census of 114; -55% compared to 2011. The daily volume exhibited a precipitous drop on the days preceding the storm followed by a return to usual volumes shortly after. A notably larger percentage of patients were seen for medication refills in 2012; 5.8% versus 0.4% (P<.05). Lacerations and cold exposure also were increased substantially in 2012 at 7.6% versus 2.8% (P<.05) and 3.8% versus 0.0% (P<.05) of patient visits, respectively. A large decline in admissions was observed in the days prior to the storm, with a nadir on Day +1 at five percent (-22%). Review of admitted patients revealed atypical admissions for home care service such as need for supplemental oxygen or ventilator. In addition, a drop in Emergency Medical Services (EMS) utilization was seen on Days 0 and +1. The SIUH-N typically sees 18% of patients arriving via EMS. On Day +1, only two percent of patients arrived by ambulance. The daily ED census saw a significant decline in the days preceding the storm. In addition, the type of conditions treated varied from baseline, and a considerable drop in hospital admissions was seen. Data such as these presented here can help make predictions for future scenarios. Greenstein J , Chacko J , Ardolic B , Berwald N . Impact of Hurricane Sandy on the Staten Island University Hospital emergency department. Prehosp Disaster Med. 2016;31(3):335-339.

Introduction With the rampant spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the subsequent pandemic of coronavirus disease 2019 (COVID-19), the need for medical resources has never been greater. In recent history, the deployment of surge medical facilities and their importance in improving the provision of crisis care became relevant. The primary objective of this study was to describe the development and implementation of an alternate care site (ACS) during the COVID-19 pandemic. Methods This was a retrospective, single-center study that was conducted between April 7, 2020, and May 26, 2020, of adult patients from a primary facility admitted to an ACS, labeled Staten Island University Hospital East (SIUH-E). These select patients met specific inclusion criteria for SIUH-E before transfer. Results During the operational course of SIUH-E, 813 patients were screened and 203 patients were accepted for transfer. Of the patients admitted to SIUH-E, 120 (59%) were male. The mean age was 63 years (SD = 13.91). The mean length of stay was 3.93 days (SD = 3.94). Among discharged patients, 179 (88%) were discharged to home or another long-term facility, whereas 24 (12%) patients required a transfer back to the main campus. Conclusions In this study, we describe the development and implementation of an alternate care surge facility during the COVID-19 pandemic. SIUH-E played a vital role in effectively caring for select COVID-19 patients, which allowed the primary facilities to treat a greater volume of higher acuity patients. The combined efforts of the state and hospital were able to create and sustain a safe, practical alternative care facility.Introduction With the rampant spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the subsequent pandemic of coronavirus disease 2019 (COVID-19), the need for medical resources has never been greater. In recent history, the deployment of surge medical facilities and their importance in improving the provision of crisis care became relevant. The primary objective of this study was to describe the development and implementation of an alternate care site (ACS) during the COVID-19 pandemic. Methods This was a retrospective, single-center study that was conducted between April 7, 2020, and May 26, 2020, of adult patients from a primary facility admitted to an ACS, labeled Staten Island University Hospital East (SIUH-E). These select patients met specific inclusion criteria for SIUH-E before transfer. Results During the operational course of SIUH-E, 813 patients were screened and 203 patients were accepted for transfer. Of the patients admitted to SIUH-E, 120 (59%) were male. The mean age was 63 years (SD = 13.91). The mean length of stay was 3.93 days (SD = 3.94). Among discharged patients, 179 (88%) were discharged to home or another long-term facility, whereas 24 (12%) patients required a transfer back to the main campus. Conclusions In this study, we describe the development and implementation of an alternate care surge facility during the COVID-19 pandemic. SIUH-E played a vital role in effectively caring for select COVID-19 patients, which allowed the primary facilities to treat a greater volume of higher acuity patients. The combined efforts of the state and hospital were able to create and sustain a safe, practical alternative care facility.

Introduction: In 2017, all medical students applying for residency in emergency medicine (EM) were required to participate in the Standardized Video Interview (SVI). The SVI is a video-recorded, uni-directional interview consisting of six questions designed to assess interpersonal and communication skills and professionalism. It is unclear whether this simulated interview is an accurate representation of an applicant’s competencies that are often evaluated during the in-person interview. Objective: The goal of this study was to determine whether the SVI score correlates with a traditional in-person interview score.Methods: Six geographically and demographically diverse EM residency programs accredited by the Accreditation Council for Graduate Medical Education participated in this prospective observational study. Common demographic data for each applicant were obtained through an Electronic Residency Application Service export function prior to the start of any scheduled traditional interviews (TI). On each TI day, one interviewer blinded to all applicant data, including SVI score, rated the applicant on a five-point scale. A convenience sample of applicants was enrolled based on random assignment to the blinded interviewer. We studied the correlation between SVI score and TI score.Results: We included 321 unique applicants in the final analysis. Linear regression analysis of the SVI score against the TI score demonstrated a small positive linear correlation with an r coefficient of +0.13 (p=0.02). This correlation remained across all SVI score subgroups (p = 0.03).Conclusion: Our study suggests that there is a small positive linear correlation between the SVI score and performance during the TI.