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We determine how pediatric emergency department (ED) visits changed during the COVID-19 pandemic in a large sample of U.S. EDs. Using retrospective data from January–June 2020, compared to a similar 2019 period, we calculated weekly 2020–2019 ratios of Non-COVID-19 ED visits for adults and children (age 18 years or less) by age range. Outcomes were pediatric ED visit rates before and after the onset of pandemic, by age, disposition, and diagnosis. We included data from 2,213,828 visits to 144 EDs and 4 urgent care centers in 18 U.S. states, including 7 EDs in children's hospitals. During the pandemic period, adult non-COVID-19 visits declined to 60% of 2019 volumes and then partially recovered but remained below 2019 levels through June 2020. Pediatric visits declined even more sharply, with peak declines through the week of April 15 of 74% for children age < 10 years and 67% for 14–17 year. Visits recovered by June to 72% for children age 14–17, but to only 50% of 2019 levels for children < age 10 years. Declines were seen across all ED types and locations, and across all diagnoses, with an especially sharp decline in non-COVID-19 communicable diseases. During the pandemic period, there was 22% decline in common serious pediatric conditions, including appendicitis. Pediatric ED visits fell more sharply than adult ED visits during the COVID-19 pandemic, and remained depressed through June 2020, especially for younger children. Declines were also seen for serious conditions, suggesting that parents may have avoided necessary care for their children.

We examine how emergency department (ED) visits for serious cardiovascular conditions evolved in the coronavirus (COVID-19) pandemic over January–October 2020, compared to 2019, in a large sample of U.S. EDs. We compared 2020 ED visits before and during the COVID-19 pandemic, relative to 2019 visits in 108 EDs in 18 states in 115,716 adult ED visits with diagnoses for five serious cardiovascular conditions: ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI), ischemic stroke (IS), hemorrhagic stroke (HS), and heart failure (HF). We calculated weekly ratios of ED visits in 2020 to visits in 2019 in the pre-pandemic (Jan 1-March 10), early-pandemic (March 11–April 21), and later-pandemic (April 22–October 31) periods. ED visit ratios show that NSTEMI, IS, and HF visits dropped to lows of 56%, 64%, and 61% of 2019 levels, respectively, in the early-pandemic and gradually returned to 2019 levels over the next several months. HS visits also dropped early pandemic period to 60% of 2019 levels, but quickly rebounded. We find mixed evidence on whether STEMI visits fell, relative to pre-pandemic rates. Total adult ED visits nadired at 57% of 2019 volume during the early-pandemic period and have only party recovered since, to approximately 84% of 2019 by the end of October 2020. We confirm prior studies that ED visits for serious cardiovascular conditions declined early in the COVID-19 pandemic for NSTEMI, IS, HS, and HF, but not for STEMI. Delays or non-receipt in ED care may have led to worse outcomes.

Patient-generated health data (PGHD) encompass health-related information created, recorded, and gathered by patients in their daily lives, and are distinct from data collected in clinical settings. PGHD can offer insight into patients’ everyday health behaviors and conditions, supporting health management and clinical decision-making. The Veterans Health Administration (VHA) has developed a robust infrastructure to collect PGHD, including automatically collected data from digital sensors and patient-entered data. This effort is guided by comprehensive policy and strategy documents to ensure the secure storage and effective use of PGHD. This paper describes the development and implementation of an infrastructure to support PGHD within the VHA and highlights envisioned clinical and research uses of PGHD to advance health care for US veterans. The PGHD database was built to Fast Healthcare Interoperability Resources standards, facilitating secure data storage and exchange of PGHD. Clinical tools, such as the provider-facing dashboards, make PGHD accessible from the electronic health records. Research and evaluation efforts focus on evaluating PGHD’s impact on patient engagement, clinical outcomes, and health care equity. The VHA’s comprehensive PGHD infrastructure represents a significant advancement in personalized health care and patient engagement. The integration of PGHD into clinical practice can enhance shared decision-making and self-management, while research and evaluation efforts can address how to maximize the benefits of PGHD for veterans. The VHA’s approach sets a benchmark for other US health care systems in leveraging PGHD to achieve the broad aims of enhancing stakeholder health care experiences, improving population health and health equity, and reducing costs.

AbstractIntroductionUnited States emergency medicine (EM) post-graduate training programs vary in training length, either 4 or 3 years. However, it is unknown if clinical care by graduates from the two curricula differs in the early post-residency period. MethodsWe performed a retrospective observational study comparing measures of clinical care and practice patterns between new graduates from 4- and 3-year EM programs with experienced new physician hires as a reference group. We included emergency department (ED) encounters from a national EM group (2016–19) between newly hired physicians from 4- and 3- year programs and experienced new hires (>2 years' experience) during their first year of practice with the group. Primary outcomes were at the physician-shift level (patients per hour and relative value units [RVUs] per hour) and encounter-level (72-h return visits with admission/transfer and discharge length of stay [LOS]). Secondary outcomes included discharge opioid prescription rates, test ordering, computer tomography (CT) use, and admission/transfer rate. We compared outcomes using multivariable linear regression models that included patient, shift, and facility-day characteristics, and a facility fixed effect. We hypothesized that experienced new hires would be most efficient, followed by new 4-year graduates and then new 3-year graduates. ResultsWe included 1,084,085 ED encounters by 4-year graduates ( n = 39), 3-year graduates ( n = 70), and experienced new hires ( n = 476). There were no differences in physician-level and encounter-level primary outcomes except discharge LOS was 10.60 min (2.551, 18.554) longer for 4-year graduates compared to experienced new hires. Secondary outcomes were similar among the three groups except 4- and 3-year new graduates were less likely to prescribe opioids to discharged patients, −3.70% (−5.768, −1.624) and − 3.38% (−5.136, −1.617) compared to experienced new hires. ConclusionsIn this sample, measures of clinical care and practice patterns related to efficiency, safety, and flow were largely similar between the physician groups; however, experienced new hires were more likely to prescribe opioids than new graduates. These results do not support recommending a specific length of residency training in EM.

We determine how aggregate costs have changed for commonly used emergency department (ED) medications, and assess drivers of cost increases. Using the National Hospital Ambulatory Medical Care Survey (NHAMCS), we identified the top 150 ED medications administered and prescribed at discharge in 2015. We used average wholesale prices (AWP) for each year from 2006 to 15 from the Red Book (Truven Health Analytics Inc.). Average wholesale price per patient (AWPP) was calculated by dividing AWP by drug uses. This was then multiplied by the total drug administrations or prescriptions to estimate the total cost in a given the year. All prices were converted to 2015 dollars. Aggregate costs of drugs administered in the ED increased from $688.7 million in 2006 to $882.4 million in 2015. For discharge prescriptions, aggregate costs increased from $2.031 billion in 2006 to $4.572 billion in 2015. AWPP for drugs administered in the ED in 2015 was 14.5% higher than in 2006 and 24.3% higher at discharge. The largest absolute increase in AWPP for drugs administered was for glucagon, which increased from $111 in 2006 to $235 in 2015. The largest AWPP increase at discharge was for epinephrine auto-injector, which increased from $124 in 2006 and to $481 in 2015. Over the course of the study period, the aggregate costs of the most common medications administered in the ED increased by 28% while the costs of medications prescribed at discharge increased 125%.

We sought to examine the frequency of pediatric critical procedures performed in a national group of emergency physicians. We performed a retrospective analysis of an administrative billing and coding dataset for procedural performance documentation verification from 2014 to 2018. We describe and compare incident rates of pediatric (age <18 years) patient critical procedure performance by emergency physicians in general emergency departments (EDs), pediatric EDs, and freestanding ED/urgent care centers. Critical procedures were endotracheal intubation, electrical cardioversion, central venous placement, intraosseous access, and chest tube insertion. Among 2290 emergency physicians working in 186 EDs (1844 working in 129 general EDs, 125 in 8 pediatric EDs, and 321 in 49 freestanding EDs/urgent cares), a total of 2233 pediatric critical procedures were performed during the study period. Many physicians at general EDs and freestanding EDs/urgent cares performed zero pediatric procedures per year (53.9% and 89% respectively). Per 1000 ED visits seen (All patient ages), physicians working in general EDs performed fewer pediatric critical procedures than physicians in pediatric EDs (0.12/1000 visits vs 0.68/1000 visits; rate difference = 0.56, 95% confidence interval [CI] 0.51–0.61). Per 1000 clinical hours worked, physicians working in general EDs performed 0.26 procedures compared to 1.66 for physicians in pediatric EDs (rate difference = 1.39; 95% CI 1.27–1.52). Pediatric critical procedures are rarely performed by emergency physicians and are exceedingly rare in general EDs and freestanding EDs/urgent cares. The rarity of performance of these skills has implications for ED pediatric readiness.

Mental health conditions are highly prevalent among US veterans. The Veterans Health Administration (VHA) is committed to enhancing mental health care through the integration of measurement-based care (MBC) practices, guided by its Collect-Share-Act model. Incorporating the use of remote mobile apps may further support the implementation of MBC for mental health care. This study aims to evaluate veteran experiences with Mental Health Checkup (MHC), a VHA mobile app to support remote MBC for mental health. Our mixed methods sequential explanatory evaluation encompassed mailed surveys with veterans who used MHC and follow-up semistructured interviews with a subset of survey respondents. We analyzed survey data using descriptive statistics. We then compared responses between veterans who indicated having used MHC for ≥3 versus <3 months using χ tests. We analyzed interview data using thematic analysis. We received 533 surveys (533/2631, for a 20% response rate) and completed 20 interviews. Findings from these data supported one another and highlighted 4 key themes. (1) The MHC app had positive impacts on care processes for veterans: a majority of MHC users overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed or strongly agreed that using MHC helped them be more engaged in their health and health care (169/262, 65%), make decisions about their treatment (157/262, 60%), and set goals related to their health and health care (156/262, 60%). Similarly, interviewees described that visualizing progress through graphs of their assessment data over time motivated them to continue therapy and increased self-awareness. (2) A majority of respondents overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed/strongly agreed that using MHC enhanced their communication (112/164, 68% versus 51/98, 52%; P=.009) and rapport (95/164, 58% versus 42/98, 43%; P=.02) with their VHA providers. Likewise, interviewees described how MHC helped focus therapy time and facilitated trust. (3) However, veterans also endorsed some challenges using MHC. Among respondents overall, these included difficulty understanding graphs of their assessment data (102/245, 42%), not receiving enough training on the app (73/259, 28%), and not being able to change responses to assessment questions (72/256, 28%). (4) Interviewees offered suggestions for improving the app (eg, facilitating ease of log-in, offering additional reminder features) and for increasing adoption (eg, marketing the app and its potential advantages for veterans receiving mental health care). Although experiences with the MHC app varied, veterans were positive overall about its use. Veterans described associations between the use of MHC and engagement in their own care, self-management, and interactions with their VHA mental health providers. Findings support the potential of MHC as a technology capable of supporting the VHA's Collect-Share-Act model of MBC.

Prolonged waiting times during episodes of emergency department (ED) crowding are associated with poor outcomes. Point-of-care testing (POCT) at ED triage prior to physician evaluation may help identify critically ill patients. We studied the impact of ED POCT in a single ED with a high degree of crowding for patients with high-risk complaints who were triaged as non-critically ill. We conducted the study from April-July 2017 at King Abdulaziz University (KAU) Hospital in Jeddah, Saudi Arabia. Patients with one of seven complaints received triage POCT. The primary outcome was whether POCT results at triage resulted in immediate transfer of the patient from the waiting room into the ED. Secondary outcomes were whether the triage nurse felt that the POCT results were useful, and whether triage POCT changed triage acuity. We used simple descriptive statistics to summarize the data. A total of 94 patients were enrolled and received i-STAT® POCT. The most common symptoms and triage protocols were for chest pain (42%), abdominal pain (31%), and shortness of breath (22%). In 11 cases (12%), care was changed as a result of triage POCT. In 12 cases (13%), triage level was changed. The triage nurse found POCT helpful in 93% of cases. In this ED, triage POCT was a helpful adjunct at ED triage and resulted in immediate care (transfer to an ED room) in one in eight cases. Therefore, POCT at triage may be a useful adjunct to improve patient safety, particularly in crowded EDs.

In 2010 Maryland replaced fee-for-service payment for some rural hospitals with \"global budgets\" for hospital-provided services called Total Patient Revenue (TPR). A principal goal was to incentivize hospitals to manage resources efficiently. Using a difference-in-differences design, we compared eight TPR hospitals to seven similar non-TPR Maryland hospitals to estimate how TPR affected hospital-provided services. We also compared health care use by \"treated\" patients in TPR counties to that of patients in counties containing control hospitals. Inpatient admissions and outpatient services fell sharply at TPR hospitals, increasingly so over the period that TPR was in effect. Emergency department (ED) admission rates declined 12 percent, direct (non-ED) admissions fell 23 percent, ambulatory surgery center visits fell 45 percent, and outpatient clinic visits and services fell 40 percent. However, for residents of TPR counties, visits to all Maryland hospitals fell by lesser amounts and Medicare spending increased, which suggests that some care moved outside of the global budget. Nonetheless, we could not assess the efficiency of these shifts with our data, and some care could have moved to more efficient locations. Our evidence suggests that capitation models require strong oversight to ensure that hospitals do not respond by shifting costs to other providers.

Background. Previous studies have described drug shortages; however, there has been no comprehensive evaluation focusing on US antibacterial shortages. Methods. Drug shortage data from the University of Utah Drug Information Service database were analyzed, with a focus on antibacterial agents from 2001 to 2013. We used descriptive statistics to describe trends in drug shortages, analyze drug classes commonly affected, and investigate whether drugs experienced multiple periods of shortages. Results. One hundred forty-eight antibacterial drugs were on shortage over the 13-year study period, with 26 drugs still active on shortage as of December 2013. The median number of new shortages per year was 10 (interquartile range [IQR], 7). The number of drugs on shortage increased at a rate of 0.35 additional drugs every month (95% confidence interval, .22–.49) from July 2007 to December 2013 (P<.001). The median shortage duration was 188 days (IQR, 366.5). Twenty-two percent of drugs experienced multiple shortage periods. Conclusions. There were a substantial number of drug shortages from 2001 to 2013, with a dramatic rise in shortages since 2007. Shortages of agents used to treat multidrug-resistant infections are of concern due to continued transmission and limited treatment options.