Implementation of the Acute Care Clinic Easy Scheduling System at the Brooke Army Medical Center.

INTRODUCTION: Emergency departments (EDs) have continued to struggle with overcrowding, causing delays in patient care and increasing stress on the medical staff and resources. This was further illustrated during the recent coronavirus disease 2019 pandemic, where we saw large unpredictable surges to the ED as hospitals tried to meet the medical needs of patients while trying to minimize the spread of coronavirus disease. A previous study from the Department of Emergency at the Brooke Army Medical Center (BAMC) found that nearly half of the patients presenting to the ED could have been managed in a primary care setting. We sought to pilot an alternate appointment scheduling system, Acute Care Clinic Easy Scheduling System, to allow patients to see and book available appointments while waiting in the ED waiting room. MATERIALS AND METHODS: Our appointment display system was created through collaboration with the BAMC Information Management Division. A Tableau data interface connects to the Composite Health Care System to view available primary appointments across the San Antonio Military Health Care System. These are displayed in real-time on multiple TV screens outside the ED and in the ED waiting room. Patients were provided signage that provides a way to call or use a World Wide Web-based interface to immediately schedule the open appointments within the next 48 hours. Patients voluntarily opted to use this system and may opt to leave the ED if another appointment became available within an acceptable time frame to them. RESULTS: This section is not applicable to this article. CONCLUSIONS: Expansion of the Acute Care Clinic Easy Scheduling System within the Military Health Care System may (1) help reduce ED crowding, (2) improve access to care through a live-tracking system that patients can review and select from, and (3) reduce the number of unfilled primary care appointments. The system in place in the BAMC ED serves as a template for other MTFs to use.

EFFECTS OF SARS COVID-19 POSITIVITY STATUS ON VENOUS THROMBOSIS AND PULMONARY EMBOLISM RATES IN TRAUMA PATIENTS.

ABSTRACT: Introduction : COVID-19-induced coagulopathy (CIC) can increase the risk of thromboembolism without underlying clotting disorders, even when compared with other respiratory viruses. Trauma has a known association with hypercoagulability. Trauma patients with concurrent COVID-19 infection potentially have an even greater risk of thrombotic events. The purpose of this study was to evaluate venous thromboembolism (VTE) rates in trauma patients with COVID-19. Methods : This study reviewed all adult patients (≥18 years of age) admitted to the Trauma Service from April through November 2020 for a minimum of 48 hours. Patients were grouped based off COVID-19 status and compared for inpatient VTE chemoprophylaxis regimen, thrombotic complications defined as deep vein thrombosis, pulmonary embolism, myocardial infarction, and cerebrovascular accident, intensive care unit (ICU) length of stay, hospital length of stay, and mortality. Results : A total of 2,907 patients were reviewed and grouped into COVID-19-positive (n = 110) and COVID-19-negative (n = 2,797) groups. There was no difference in terms of receiving deep vein thrombosis chemoprophylaxis or type, but a longer time to initiation in the positive group ( P = 0.0012). VTE occurred in 5 (4.55%) positive and 60 (2.15%) negative patients without a significant difference between the groups, as well as no difference in type of VTE observed. Mortality was higher ( P = 0.009) in the positive group (10.91%). Positive patients had longer median ICU LOS ( P = 0.0012) and total LOS ( P < 0.001). Conclusion : There were no increased rates of VTE complications between COVID-19-positive and -negative trauma patients, despite a longer time to initiation of chemoprophylaxis in the COVID-19-positive group. COVID-19-positive patients had increased ICU LOS, total LOS, and mortality, which are likely due to multifactorial causes but primarily related to their underlying COVID-19 infection.

A Citywide Analysis of DWI Events in Association with Bar Reopening and Increased Restaurant Capacity.

BACKGROUND: During the COVID-19 pandemic many bars closed. Simultaneously, many persons experienced stay at home orders linked to an increase in alcohol use. The net impact of these restrictions on the incidence of driving while intoxicated (DWI) events is unclear. METHODS AND MATERIAL: We conducted a retrospective observational analysis using publicly reported data regarding police traffic encounters. We analyzed changes in DWI encounters in the San Antonio, TX metropolitan area before (1-14 October 2020) versus after (15-28 October 2020) bars reopened during the COVID-19 pandemic. We made these comparisons by comparing medians and through regression modelling to control for potential confounders. RESULTS: During the study period, 16,609 police traffic encounters met inclusion criteria. Of these, 353 were DWI encounters, 594 were officer traffic stop encounters, 14,565 were traffic related encounters, 113 were wrong way driver encounters, and 984 were other traffic violations. In the before and after analysis, there was no difference in the daily median numbers of DWI encounters (12 versus 10, p=0.461), wrong way driver incidents (3 versus 2, p=0.328), or other traffic violations (34 versus 35, p=0.854). The multivariable regression model similarly identified no change in the daily incidence of DWI encounters (p=0.281). CONCLUSIONS: We detected no change in the incidence of DWI encounters immediately following the reopening of bars in the San Antonio metropolitan area.

A Retrospective Review of Emergency Department Visits That May Be Appropriate for Management in Non-Emergency Settings.

BACKGROUND: Emergency departments (EDs) continue to struggle with overcrowding, increasing wait times, and a surge in patients with non-urgent conditions. Patients frequently choose the ED for non-emergent medical issues or injuries that could readily be handled in a primary care setting. We analyzed encounters in the ED at the Brooke Army Medical Center-the largest hospital in the Department of Defense-to determine the percentage of visits that could potentially be managed in a lower cost, appointment-based setting. MATERIALS AND METHODS: We conducted a retrospective chart review of patients within our electronic medical record system from September 2019 to August 2020, which represented equidistance from the start of the COVID-19 pandemic, resulting in a shift in ED used based on previously published data. Our study also compared the number of ED visits pre-covid vs. post-covid. We defined visits to be primary care eligible if they were discharged home and received no computed tomography imaging, ultrasound, magnetic resonance imaging, intravenous medications, or intramuscular-controlled substances. RESULTS: During the 12 month period, we queried data on 75,205 patient charts. We categorized 56.7% (n = 42,647) of visits as primary care eligible within our chart review. Most primary-care-eligible visits were ESI level 4 (59.2%). The largest proportion of primary-care-eligible patients (28.3%) was seen in our fast-track area followed by our pediatric pod (21.9%). The total number of ED visits decreased from 7,477 pre-covid to 5,057 post-covid visits. However, the proportion of patient visits that qualified as primary care eligible was generally consistent. CONCLUSIONS: Over half of all ED visits in our dataset could be primary care eligible. Our findings suggest that our patient population may benefit from other on-demand and appointment-based healthcare delivery to decompress the ED.

Analysis of the Effects of COVID-19 Mask Mandates on Hospital Resource Consumption and Mortality at the County Level.

OBJECTIVES: Coronavirus disease 2019 (COVID-19) threatens vulnerable patient populations, resulting in immense pressures at the local, regional, national, and international levels to contain the virus. Laboratory-based studies demonstrate that masks may offer benefit in reducing the spread of droplet-based illnesses, but few data are available to assess mask effects via executive order on a population basis. We assess the effects of a county-wide mask order on per-population mortality, intensive care unit (ICU) utilization, and ventilator utilization in Bexar County, Texas. METHODS: We used publicly reported county-level data to perform a mixed-methods before-and-after analysis along with other sources of public data for analyses of covariance. We used a least-squares regression analysis to adjust for confounders. A Texas state-level mask order was issued on July 3, 2020, followed by a Bexar County-level order on July 15, 2020. We defined the control period as June 2 to July 2 and the postmask order period as July 8, 2020-August 12, 2020, with a 5-day gap to account for the median incubation period for cases; longer periods of 7 and 10 days were used for hospitalization and ICU admission/death, respectively. Data are reported on a per-100,000 population basis using respective US Census Bureau-reported populations. RESULTS: From June 2, 2020 through August 12, 2020, there were 40,771 reported cases of COVID-19 within Bexar County, with 470 total deaths. The average number of new cases per day within the county was 565.4 (95% confidence interval [CI] 394.6-736.2). The average number of positive hospitalized patients was 754.1 (95% CI 657.2-851.0), in the ICU was 273.1 (95% CI 238.2-308.0), and on a ventilator was 170.5 (95% CI 146.4-194.6). The average deaths per day was 6.5 (95% CI 4.4-8.6). All of the measured outcomes were higher on average in the postmask period as were covariables included in the adjusted model. When adjusting for traffic activity, total statewide caseload, public health complaints, and mean temperature, the daily caseload, hospital bed occupancy, ICU bed occupancy, ventilator occupancy, and daily mortality remained higher in the postmask period. CONCLUSIONS: There was no reduction in per-population daily mortality, hospital bed, ICU bed, or ventilator occupancy of COVID-19-positive patients attributable to the implementation of a mask-wearing mandate.

Changes in Emergency Department Volumes at the Largest U.S. Military Hospital During the COVID-19 Pandemic.

INTRODUCTION: The coronavirus-2019 (COVID-19) pandemic has significantly impacted global healthcare delivery. Brooke Army Medical Center (BAMC) is the DoD's largest hospital and a critical platform for maintaining a ready medical force. We compare temporal trends in patient volumes and characteristics in the BAMC emergency department (ED) before versus during the pandemic. MATERIALS AND METHODS: We abstracted data on patient visits from the BAMC ED electronic medical record system. Data included patient demographics, visit dates, emergency severity index triage level, and disposition. We visually compared the data from January 1, 2019 to November 30, 2019 versus January 1, 2020 to November 30, 2020 to assess the period with the most apparent differences. We then used descriptive statistics to characterize the pre-pandemic control period (1 March-November 30, 2019) versus the pandemic period (1 March-November 30, 2020). RESULTS: Overall, when comparing the pre-pandemic and pandemic periods, the median number of visits per day was 232 (Interquartile Range (IQR) 214-250, range 145-293) versus 165 (144-193, range 89-308, P < .0001). Specific to pediatric visits, we found the median number of visits per day was 39 (IQR 33-46, range 15-72) versus 18 (IQR 14-22, range 5-61, P < .001). When comparing the median number of visits by month, the volumes were lower during the pandemic for all months, all of which were strongly significant (P < .001 for all). CONCLUSIONS: The BAMC ED experienced a significant decrease in patient volume during the COVID-19 pandemic starting in March 2020. This may have significant implications for the capacity of this facility to maintain a medically ready force.