Rates Of Emergency Department Research Articles

Medication for Addiction Treatment and Postpartum Health Care Utilization Among Pregnant Persons With Opioid Use Disorder.

To estimate treatment and postpartum health care utilization among pregnant persons with opioid use disorder (OUD) in Vermont and Maine. Vermont's and Maine's All Payer Claims Databases were used to identify deliveries 2010 to 2018 that were paid for, in part, by Medicaid. OUD was identified among pregnant persons if they had any claim with an OUD-diagnosis code (ICD-9/10) or medication for addiction treatment (MAT) code during the 5 months before delivery event. Consistent and inconsistent MAT were compared to no MAT on the rate of hospitalizations and emergency department (ED) visits in the first 12 months' postpartum using negative binomial regression. From 2010 through 2018, 27,652 deliveries in Vermont and 43,480 deliveries in Maine were among persons insured by Medicaid. The prevalence of OUD among pregnant persons increased from 6.7% to 11.6% in Vermont and from 7.4% to 11.0% in Maine. Among pregnant persons with OUD in 2018, 57% had consistent MAT in Vermont and 50% had consistent MAT in Maine; approximately 32% and 27% were not in treatment in Vermont and Maine, respectively. In Maine, consistent MAT was associated with a 47% lower rate of hospitalization and 37% to 46% lower rates of ED visits when compared to those without MAT; in Vermont, those with consistent buprenorphine treatment had a 30% lower rate of ED visits. Medicaid data from Vermont and Maine suggests that medication for addiction treatment for opioid use disorder during pregnancy reduces emergency health care utilization in the first year postpartum.

Who Stayed Home Under Safer-at-Home? Impacts of COVID-19 on Volume and Patient-Mix at an Emergency Department.

IntroductionTo describe the impact of COVID-19 on a large, urban emergency department (ED) in Los Angeles, California, we sought to estimate the effect of the novel coronavirus 2019 (COVID-19) and “safer-at-home” declaration on ED visits, patient demographics, and diagnosis-mix compared to prior years.MethodsWe used descriptive statistics to compare ED volume and rates of admission for patients presenting to the ED between January and early May of 2018, 2019, and 2020.ResultsImmediately after California’s “safer-at-home” declaration, ED utilization dropped by 11,000 visits (37%) compared to the same nine weeks in prior years. The drop affected patients regardless of acuity, demographics, or diagnosis. Reductions were observed in the number of patients reporting symptoms often associated with COVID-19 and all other complaints. After the declaration, higher acuity, older, male, Black, uninsured or non-Medicaid, publicly insured, accounted for a disproportionate share of utilization.ConclusionWe show an abrupt, discontinuous impact of COVID-19 on ED utilization with a slow return as safer-at-home orders have lifted. It is imperative to determine how this reduction will impact patient outcomes, disease control, and the health of the community in the medium and long terms.

21614 Use of an Outcomes Continuum to Describe Disparities in CVOID-19: Data from the OneFlorida Research Consortium

ABSTRACT IMPACT: Identifying differential COVID-19 progression across the disease continuum may help policymakers and service providers better identify or predict gaps in services and resources and develop precision strategies to support COVID-19 patients where the need is mostly needed. OBJECTIVES/GOALS: Single institution studies have documented COVID-19 disproportionally affected US racial and ethnic minority groups compared to Whites. However, few population-wide data studied severity and death in multiracial populations. We aim to examine the current disparity in the COVID-19 continuum, including hospitalizations, severity, and death. METHODS/STUDY POPULATION: Data on 67,094 laboratory documented COVID-19 cases nested from the state-wide ‘OneFlorida’ research consortium through August 3, 2020, were assessed to decide differences and disparities in COVID-19 outcomes. A COVID-19 outcome continuum outlining the proportions of cases transitioning from diagnosis to death was constructed (Figure 1). OneFlorida partners provide health care to more than 40% of Floridians in the nation’s third-largest and very diverse state. OneFlorida partners encompass hospitals, practice/clinic settings, and physicians, which provide care for 15 million patients across all of Florida’s 67 counties. It is part of the Patient-Centered Outcomes Research Institute (PCORI). RESULTS/ANTICIPATED RESULTS: Among cases, 25,443 (37.9%) were non-Hispanic Whites, 11,709 (17.5%) were non-Hispanic Blacks, and 16,119 (24.0%) were Hispanics. Among COVID-19 patients, Blacks and Hispanics had a higher frequency of emergency department (ED) visits (45.7% and 46.0%, respectively), whereas admission rates were higher in Blacks (15.6%) and Whites (15.9%) than in Hispanics (11.5%). Blacks had the highest rates of intubation (3.6%) and in-hospital deaths (2.7%) compared to Whites (2.5% and 2.3%, respectively) and Hispanics (1.3% and 1.4%, respectively), Figure 1. When rates were indexed to the state census data, Blacks had the worst rates across the disease continuum (infection to death). In comparison, Hispanics had higher rates of ED visits but lower rates of intubation and death, Table 1. DISCUSSION/SIGNIFICANCE OF FINDINGS: Outcomes continuum is a useful tool at an individual-level to assess care outcomes and at population-level as a framework to analyze the proportion of population with COVID-19 that progress to each successive disease stage. This will help policymakers to better identify gaps in services and develop precision strategies to support COVID-19 patients.

Patterns of respiratory health services utilization from birth to 5 years of children who experienced adverse birth outcomes.

Adverse birth outcomes have important consequences for future lung health. We evaluated patterns of respiratory health services utilization in early childhood among children born preterm (PTB), small and large for gestational age at term (SGA and LGA, respectively), and appropriate-for-gestational age at term. We conducted a population-based retrospective cohort study using administrative health data of all singleton live births in Alberta, Canada between 2005-2010. Data on hospitalizations and emergency department (ED) visits from birth to 5 years were collected for asthma, bronchitis, bronchiolitis, croup, influenza, pneumonia, and other acute upper and lower respiratory tract infections (other URTI and other LRTI, respectively). Adjusted rate ratios were estimated for respiratory ED visits and hospitalizations for adverse birth outcomes using the appropriate-for-gestational age at term group as reference. Age-specific trajectories of total respiratory health services utilization rates for each group were estimated in Poisson models. A total of 293,764 episodes of respiratory care from 206,994 children were analyzed. Very PTB children had the highest rates of health services use for all respiratory conditions, particularly for asthma, pneumonia, and bronchiolitis hospitalizations. Moderate/late PTB children also had elevated ED visits and hospitalizations for all respiratory conditions. Children born SGA showed high rates of ED visits for other LRTI, and of hospitalizations for bronchitis, bronchiolitis, and other URTI. Children born LGA had high rates of croup and other URTI ED visits, and of bronchiolitis and bronchiolitis hospitalizations. Age-specific trajectories showed a decreasing trend in the rates of total respiratory health service utilization from birth to five years of age for all groups studied. Children born PTB and LGA at term significantly required more respiratory health services over time compared to the reference group. Patterns of paediatric respiratory health services utilization vary according to gestational age and fetal growth.

Phenobarbital Versus Lorazepam for Management of Alcohol Withdrawal Syndrome: A Retrospective Cohort Study.

Introduction Annually, 500,000 episodes of alcohol withdrawal syndrome (AWS) are severe enough to require clinical attention. A symptom-triggered lorazepam regimen remains the standard of care for the management of hospitalized AWS patients. However, phenobarbital has also been shown to be an effective adjunctive therapy for severe AWS, reducing benzodiazepine use in the emergency department (ED) and the intensive care unit (ICU). The purpose of this study is to compare hospital length of stay (LOS) for AWS patients using phenobarbital-based versus lorazepam-based treatment protocols as monotherapy for management of AWS on general medical units.MethodsThis is a retrospective cohort study over a two-year period (March, 2016 to March, 2018), conducted at three hospitals within the St. Joseph Mercy Health System. We included 606 patients with a primary diagnosis of AWS or alcohol intoxication who met our inclusion criteria (543 in the lorazepam cohort and 63 in the phenobarbital cohort). Adjusted comparisons were done using propensity scoring methods. Hospital LOS was set as the primary outcome. Secondary outcomes included all-cause 30-day readmission, alcohol-related 30-day readmission, 30-day ED visits after discharge, and need for ICU transfer during hospital stay.ResultsPatients who received phenobarbital had a statistically significant shorter hospital LOS as compared to patients who received lorazepam (2.8 versus 3.6 days, P < 0.001). Furthermore, the phenobarbital treatment group had statistically significant lower rates of all-cause 30-day readmission (11.11% versus 14.18%, P = 0.020) and 30-day ED visits after discharge (11.11% versus 18.6%, P = 0.015). No statistical significance was detected for alcohol-related 30-day readmission and the need for ICU transfer between the treatment groups.ConclusionThis study suggests that phenobarbital may be a reasonable alternative to lorazepam in the management of AWS patients admitted to general medical units. Larger scale, well-executed, and adequately powered prospective studies and randomized controlled trials are needed to corroborate these findings.

Predictors of Acute Atrial Fibrillation and Flutter Hospitalization across 7 U.S. Emergency Departments: A Prospective Study.

International rates of hospitalization for atrial fibrillation and flutter (AFF) from the emergency department (ED) vary widely without clear evidence to guide the identification of high-risk patients requiring inpatient management. We sought to determine (1) variation in hospital admission and (2) modifiable factors associated with hospitalization of AFF patients within a U.S. integrated health system. This multicenter prospective observational study of health plan members with symptomatic AFF was conducted using convenience sampling in 7 urban community EDs from 05/2011 to 08/2012. Prospective data collection included presenting symptoms, characteristics of atrial dysrhythmia, ED physician impression of hemodynamic instability, comorbid diagnoses, ED management, and ED discharge rhythm. All centers had full-time on-call cardiology consultation available. Additional variables were extracted from the electronic health record. We identified factors associated with hospitalization and included predictors in a multivariate Poisson Generalized Estimating Equations regression model to estimate adjusted relative risks while accounting for clustering by physician. Among 1,942 eligible AFF patients, 1,074 (55.3%) were discharged home and 868 (44.7%) were hospitalized. Hospitalization rates ranged from 37.4% to 60.4% across medical centers. After adjustment, modifiable factors associated with increased hospital admission from the ED included non-sinus rhythm at ED discharge, no attempted cardioversion, and heart rate reduction. Within an integrated health system, we found significant variation in AFF hospitalization rates and identified several modifiable factors associated with hospital admission. Standardizing treatment goals that specifically address best practices for ED rate reduction and rhythm control may reduce hospitalizations.

Monitoring Sexual Violence Trends in Emergency Department Visits Using Syndromic Data From the National Syndromic Surveillance Program-United States, January 2017-December 2019.

Objectives. To report trends in sexual violence (SV) emergency department (ED) visits in the United States.Methods. We analyzed monthly changes in SV rates (per 100 000 ED visits) from January 2017 to December 2019 using Centers for Disease Control and Prevention's National Syndromic Surveillance Program data. We stratified the data by sex and age groups.Results. There were 196 948 SV-related ED visits from January 2017 to December 2019. Females had higher rates of SV-related ED visits than males. Across the entire time period, females aged 50 to 59 years showed the highest increase (57.33%) in SV-related ED visits, when stratified by sex and age group. In all strata examined, SV-related ED visits displayed positive trends from January 2017 to December 2019; 10 out of the 24 observed positive trends were statistically significant increases. We also observed seasonal trends with spikes in SV-related ED visits during warmer months and declines during colder months, particularly in ages 0 to 9 years and 10 to 19 years.Conclusions. We identified several significant increases in SV-related ED visits from January 2017 to December 2019. Syndromic surveillance offers near-real-time surveillance of ED visits and can aid in the prevention of SV.

Reducing Emergency Department Visits Among Patients With Diabetes by Embedding Clinical Pharmacists in the Primary Care Teams.

Pharmacists are effective at improving control of cardiovascular risk factors, but it less clear whether these improvements translate into less emergency department (ED) use and fewer hospitalizations. The UCMyRx program embed pharmacists in primary care. The objective of this study was to examine if the integration of pharmacists into primary care was associated with lower ED and hospital use for patients with diabetes. This was a quasi-experimental study with a comparator group. The analytic sample included patients with diabetes with uncontrolled cardiovascular risk factors (A1C >9%, blood pressure >140/90 mm Hg, low-density lipoprotein-cholesterol >130 mg/dL) who had 1 or more visits in either a UCMyRx (648 patients, 14 practices) or usual care practice (1944 patients, 14 practices). Our outcomes were ED and hospitalization rates as measured before and after the consultations between UCMyRx and usual care. Our predictor variable was the pharmacist consultation. Poisson generalized estimating equations model was used to estimate the adjusted predicted change in utilization before and after the pharmacist consultation. The Average Treatment Effect on the Treated was estimated. In models adjusted, the adjusted mean predicted number of emergency department visits/month during the year before the consultation was 0.09 among UCMyRx patients. During the year after initiating the care with the pharmacists, this rate decreased to an adjusted mean monthly rate of 0.07, with an Average Treatment Effect on the Treated=0.021 (P=0.035), a predicted reduction of 21% in emergency department visits associated with the clinical pharmacist consults. There was a nonsignificant predicted 3.2% reduction in hospitalizations over time for patients in the UCMyRx program. Clinical pharmacists are an important addition to clinical care teams in primary care practices and significantly decreased utilization of the ED among patients with poorly controlled diabetes.

PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments

Emergency Department (ED) crowding is a major public health challenge since it can seriously impact patient outcomes; and accurate prediction of patient flow in EDs is essential for improving operational efficiency and quality of care. We present a deep learning framework to predict patient flow rates in EDs, namely the rates of arrival, treatment, and discharge for patients across all triage levels. Our model detects short-term and long-term temporal dependencies within the time-series data of a given patient-flow variable, as well as dependencies between time-series data of different patient-flow variables. We implement this framework as a convolutional neural network, which we call PatientFlowNet. Our proposed model learns simultaneously from multiple flow variables over a long temporal window and predicts future values of arrival, treatment, and discharge rates in the ED. We benchmark our model against state-of-the-art methods on data from EDs in three different hospitals. Results show that PatientFlowNet achieves superior prediction accuracy, compared to the baseline methods, and yields a mean absolute error that is 4.8% lower than the leading baseline. Furthermore, we provide a visual and interpretable representation of the learned dependencies by our model, between patient-flow variables in EDs.

Changes in Clinical Characteristics among Febrile Patients Visiting the Emergency Department before and after the COVID-19 Outbreak.

PurposeConsidering the risk of coronavirus disease (COVID-19) transmission through infected droplets, emergency department (ED) operations in response to febrile patients should be planned. We investigated the general and clinical characteristics of febrile patients visiting the ED and changes in admission rates via the ED during the COVID-19 outbreak.Materials and MethodsWe performed a retrospective analysis of prospectively collected patients who visited 402 EDs in the Republic of Korea with febrile symptoms between January 27 and May 31, 2020 and compared them to those enrolled before the COVID-19 outbreak. The primary outcome was admission rate; the secondary outcome was length of stay (LOS) in the ED.ResultsIn total, 266519 patients had febrile symptoms at ED presentation after the COVID-19 outbreak. In 2019, before the outbreak, there were 437762 patients. The rate of ED visits among pediatric patients (aged <15 years) decreased to 21.4% after the COVID-19 outbreak, compared with 41.8% in 2019. The proportion of patients admitted after ED management was higher after the outbreak (31.3%) than before (25.2%). The adjusted odds ratio for admission was 1.04 (95% confidence interval: 1.02–1.05) after the outbreak. Compared to before the COVID-19 outbreak, the median ED LOS increased by 16 min after the outbreak.ConclusionThis study confirmed that admission rates and ED LOS increased for febrile patients visiting the ED after the COVID-19 outbreak. This could provide evidence for developing ED-related strategies in response to the ongoing COVID-19 outbreak and other infectious disease pandemics.

394. Pseudo-outbreak of Coagulase-negative Staphylococcus Species from Blood Cultures Highlights Unique Challenges in Care of Critically Ill Patients With COVID-19

BackgroundIn response to the COVID-19 pandemic, a dedicated intensive care unit for patients infected with SARS-CoV-2 was created at our institution. We noticed a marked increase in the number of blood cultures positive for coagulase-negative Staphylococcus species (CoNS) that highlights unique challenges that arise with the creation of new units and workflows.MethodsWe reviewed all blood culture results from the COVID-19 intensive care unit (CoVICU) from April 15 to May 29. We reviewed all blood cultures taken from the oncology ward, medical intensive care unit (MICU), and emergency department (ED) for the same time frame as a comparison. We calculated contamination rates, using the clinical microbiology laboratory criteria for possible contaminants based on species and number of positive blood cultures.ResultsThere were 324 total blood cultures collected from the CoVICU with 27/324 (8.3%) positive for organisms deemed contaminant, 10/324 (3.1%) were positive considered bloodstream infections (BSI); the ratio of BSI:contaminant was 1:2.7. For the MICU, ED, and oncology units contamination rates were 2/197 (1%), 33/747 (4.4%), and 2/334 (0.6%), respectively; and the ratio of BSI:contaminant was 5:1, 2.2:1, and 17.5:1, respectively. There was a significant relationship between contamination rates and unit, X2(3, N = 1602) = 30.85, p < 0.001.ConclusionUpon investigation, peripheral blood draw kits were not stocked in the CoVICU. Additionally, certain components of standard work for blood culture collection (e.g. glove exchange) could not be performed per usual practice due to isolation precautions. Peripheral blood draws were routinely performed by nurses in CoVICU and MICU while phlebotomy performed these in other comparison units. We suspect that lack of availability of blood draw kits and disruption of typical workflow in isolation rooms contributed to an unusually high number of contaminated blood cultures among patients admitted to the CoVICU. Notably, the CoVICU and MICU providers were the same pool of caregivers, further supporting a process issue related to isolation precautions. Institutions should be aware of the need for extra attention to supply chain management and examination of disruption to standard work that arise in the management of COVID-19 patients.Disclosures All Authors: No reported disclosures

Rural and Indigenous Health Disparity in Medical Service Use for Dementia and Diabetes Mellitus in Minnesota

Minnesota has shown relatively high growth of mortality from diabetes mellitus (DM) and dementia in recent years, especially in rural areas. Analysis of medical care utilization patterns may reveal the reasons for this trend. The goal of the present study was to characterize the Minnesota dementia and diabetes care landscape by rurality and geographic region. Specifically, we compared the Metro region to five other rural-urban regions. Disease-specific 2017 hospital admission and emergency department (ED) visit data was obtained from the State Center for Health Statistics and the Healthcare Cost and Utilization Project. We used the logistic regression analysis adjusted by multiple covariates to evaluate rural-urban differences in hospital admissions and ED visits. Age-adjusted rates of ED visits for both DM and dementia were significantly higher in rural zip code areas, especially in northeast regions. Rural areas had elevated odds for dementia hospital admissions (OR=1.05, p<0.0001) and ED visits (OR=1.24, p<0.0001), but decreased odds for DM hospital admission (OR=0.96, p<0.0001) and ED visits (OR=0.96, p<0.0001). This was particularly true in the northeast region (relative to Metro regions) where ED visits were less likely due to DM (OR=0.89, p<0.0001) but more likely related to dementia (ORs=1.42, p<0.0001). Geographic differences for ED visits due to DM were greater than those for dementia, with higher rates for rural as compared to urban regions (northeast MN compared to a large metropolitan region). This geographical mismatch between mortality rates and ED visit rates may illustrate the relative lack of access to health services in rural MN.

Evaluation of Peer-to-Peer Support and Health Care Utilization Among Community-Dwelling Older Adults

The vast majority of older adults desire to age in their communities, and it is not clear what helps them be successful at aging in place. To investigate the comparative effectiveness of community-designed and community-implemented peer-to-peer (P2P) support programs vs standard community services (SCS) to promote health and wellness in at-risk older adults. This comparative effectiveness study involved a longitudinal cohort of adults aged 65 years and older conducted between 2015 and 2017. The setting was 3 communities in which community-based organizations delivered P2P services to older adults in California, Florida, and New York. Participants in the P2P group and in the SCS group were matched at enrollment into the study according to age, sex, and race/ethnicity at each site. Data analysis was performed from October 2018 to May 2020. P2P support was provided by trained older adult volunteers in the same community. They provided support targeted at the needs of the older adult they served, including transportation assistance, check-in calls, social activities, help with shopping, and trips to medical appointments. Rates of hospitalization, urgent care (UC) and emergency department (ED) use, and a composite measure of health care utilization were collected over 12 months of follow-up. A total of 503 participants were screened, 456 participants were enrolled and had baseline data (234 in the SCS group and 222 in the P2P group), and 8 participants had no follow-up data, leaving 448 participants for the main analysis (231 in the SCS group and 217 in the P2P group; 363 women [81%]; mean [SD] age, 80 [9] years). Participants in the P2P group more often lived alone, had lower incomes, and were more physically and mentally frail at baseline compared with the SCS group. After adjusting for propensity scores to account for baseline differences between the 2 groups, there was a statistically significant higher rate of hospitalization in the P2P group than in the SCS group (0.68 hospitalization per year vs 0.44 hospitalization per year; risk ratio, 1.54; 95% CI, 1.14-2.07; P = .005) during the 12 months of observation. There were no significant differences between the 2 groups in the rates of ED or UC visits or composite health care utilization over the 12 months of the study. P2P support was associated with higher rates of hospitalization but was not associated with other measures of health care utilization. Given that this is not a randomized clinical trial, it is not clear from these findings whether peer support will help older adults age in place, and the topic deserves further study.

Assessment of the impact of an opioid-specific education series on rates of medication-assisted treatment for opioid use disorder in veterans.

The impact of a focused inpatient educational intervention on rates of medication-assisted therapy (MAT) for veterans with opioid use disorder (OUD) was evaluated. A retrospective cohort analysis compared rates of MAT, along with rates of OUD-related emergency department (ED) visits and/or hospital admission within 1 year, between veterans with a diagnosis of OUD who completed inpatient rehabilitation prior to implementation of a series of group sessions designed to engage intrinsic motivation to change behavior surrounding opioid abuse and provide education about MAT (the control group) and those who completed rehabilitation after implementation of the education program (the intervention group). A post hoc, multivariate analysis was performed to evaluate possible predictors of MAT use and ED and/or hospital readmission, including completion of the opioid series, gender, age (>45 years), race, and specific prior substance(s) of abuse. One hundred fifty-eight patients were included: 95 in the control group and 63 in the intervention group. Rates of MAT were 25% (24 of 95 veterans) and 75% (47 of 63 veterans) in control and intervention groups, respectively (P < 0.01). Gender, completion of the opioid series, prior heroin use, and marijuana use met prespecified significance criteria for inclusion in multivariate regression modeling of association with MAT utilization, with participation in the opioid series (odds ratio [OR], 9.56; 95% confidence interval [CI], 4.36-20.96) and prior heroin use (OR, 3.26; 95% CI, 1.18-9.01) found to be significant predictors of MAT utilization on multivariate analysis. Opioid series participation and MAT use were independently associated with decreased rates of OUD-related ED visits and/or hospital admission (hazard ratios of 0.16 [95% CI, 0.06-0.44] and 0.32 [95% CI, 0.14-0.77], respectively) within 1 year after rehabilitation completion. Focused OUD-related education in a substance abuse program for veterans with OUD increased rates of MAT and was associated with a decrease in OUD-related ED visits and/or hospital admission within 1 year.

Emergency department falls: a longitudinal analysis of revisits and hospitalisations between patients who fall and patients who did not fall

ObjectiveOlder adult falls are a national issue comprising 3 million emergency department (ED) visits and significant mortality. We sought to understand whether ED revisits and hospitalisations for fallers differed from...

The effect of national lockdown due to COVID-19 on emergency department visits

BackgroundCOVID-19 outbreak lead to nationwide lockdown in Finland on the March 16th, 2020. Previous data regarding to the patient load in the emergency departments during pandemics is scarce. Our aim is to describe the effect of national lockdown and social distancing on the number and reasons for emergency department (ED) visits and inpatient admissions in three large volume hospitals prior to and after the outbreak of the COVID-19 epidemic in Finland.MethodsData for this register-based retrospective cohort study were collected from three large ED’s in Finland, covering 1/6 of the Finnish population. All patients visiting ED’s six weeks before and six weeks after the lockdown were included. Pediatric and gynecological patients were excluded. Numbers and reasons for ED visits and inpatient admissions were collected. Corresponding time period in 2019 was used as reference.ResultsA total of 40,653 ED visits and 12,226 inpatient admissions were analyzed. The total number of ED visits decreased 16% after the lockdown, whereas the number of inpatient admissions decreased 15% (p < 0.001). This change in inpatient admissions was similar in all participating hospitals. Visits due to back or limb pain decreased 31% and infectious diseases 28%. The visit rate and inpatient admissions due to acute myocardial infarction and strokes remained stable throughout the study period. Interestingly, the rate of inpatient admissions due to psychiatric diagnoses remained unchanged, although the ED visit rate decreased by 19%. The number of ED visits (n = 282) and inpatient admissions (n = 55) due to COVID-19 remained low in the participating hospitals.ConclusionsChanges in ED visits and inpatient admissions prior to and during the early phase of the COVID-19 outbreak were unpredictable, and our results may help hospitals and especially ED’s focus their resources better. Surprisingly, there was a major decrease in the rate of ED visits due to back or limb pain and not so surprisingly in infectious diseases. Rates of acute myocardial infarctions and cerebral strokes remained stable. In summary, stabile resources for the treatment of patients with severe diseases will be needed in hospitals and ED’s.

Assessing Health and Wellness Outcomes of Medicaid-Enrolled Infants Born to Adolescent Mothers.

To assess the effect of adolescent birth on the health and wellness of these infants within their first year of life. Our study focused on 2011 Medicaid births nationwide. The study group (infants born to adolescents, aged 10 to 19 at time of birth) was matched with infants born to adults (aged 20 to 44 at time of birth), based on demographics. Statistical tests (proportion test and Poisson test) were used to compare the outcomes of these two groups to determine if differences were significant. The outcomes assessed were: low birth weight (LBW), substance exposure, foster care, health status, infant mortality, emergency department (ED) visits, and wellness visits. Of the 68,562 infant pairs included in the study, we found statistically significant higher rates of LBW (P ≤ 0·005), infant mortality (P = 0·05), and ED visits (P ≤ 0·005) for infants born to adolescents at the 95% confidence interval. The rate of wellness visits for all infants was well below the recommended amount. Additional differences were found at the race/ethnicity and urbanicity levels. Infants born to adolescents had a higher rate of ED visits within the first year of life, however, the increased rates of LBW and mortality for the Medicaid population are not as significant as previous national studies suggest. Analysis of outcomes across stratification helped identify vulnerable populations (i.e. urban infants). Public health programs are urged to examine ED visits in infants born to adolescents among the Medicaid population. Improved health education or phone-based resources could help reduce unnecessary visits and reduce cost.

Rural-Urban Differences in Nursing Home Risk-adjusted Rates of Emergency Department Visits: A Decomposition Analysis.

Higher risk-adjusted rate of emergency department (ED) visits might reflect poor quality of nursing home (NH) care; however, existing evidence is limited regarding rural-urban differences in ED rates of NHs, especially for long-stay residents. To determine and quantify sources of rural-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED) of long-stay residents. We calculated quarterly NH risk-adjusted rates using 2011-2013 national Medicare claims and Minimum Data Set 3.0, and then implemented Generalized Estimating Equation models to examine rural-urban differences in ED rates and Blinder-Oaxaca decomposition to quantify the contributions of NH and market factors. Privately owned, free-standing NHs in the United States (N=13,260). Over the study period, risk-adjusted rates averaged 9.8% for any ED, 3.3% for outpatient ED, and 3.2% for PAED. Compared with urban NHs, rural NHs were associated with significantly lower rates of any ED, outpatient ED, and PAED (β=-1.67%, -0.44%, and -0.28%; all P<0.01). Observable differences in market factors (nursing home bed concentration, hospital beds, and the existence of a critical access hospital) explained about half of the rural-urban differences in rates of any ED and PAED, but not outpatient ED. Decomposition analyses suggested that lower ED rates in rural NHs appear to be related to market availability of hospital resources. Policymakers may focus on not only reducing unnecessary ED visits but also ensuring equitable hospital access in rural areas.

Healthcare Utilization and Costs Associated with Different Treatment Protocols for Newly Diagnosed Childhood Acute Lymphoblastic Leukemia: A Population-Based Study

BACKGROUND: Though cooperative trial groups use different treatment protocols for newly diagnosed childhood acute lymphoblastic leukemia (ALL), all achieve high cure rates. The healthcare utilization and costs associated with different treatment strategies have not been rigorously compared. Minimizing utilization and costs may increase quality of life and decrease health system burden. We compared Children's Oncology Group (COG) and Dana-Farber Cancer Institute (DFCI)-based treatment. METHODS: We identified all children diagnosed with ALL in pediatric cancer centers in Ontario, Canada between 2002 and 2012 through the Pediatric Oncology Group of Ontario Networked Information System (POGONIS), a provincial pediatric cancer registry. Detailed data on demographics, disease risk factors (e.g. cytogenetics, minimal residual disease), treatment (e.g. treatment protocol, start and end date of each therapy phase) and events (relapse/progression, death, second cancer) were captured via chart abstraction. Treatment protocols were categorized as either based on COG or DFCI trials. Linkage to population-based health services databases identified all outpatient and emergency department (ED) visits, hospitalizations, and physician billings. Healthcare utilization-associated costs were determined through validated costing algorithms. Chemotherapy-associated costs were calculated separately using local prices. All administered doses of asparaginase (ASNase), including E. Coli, PEG-ASNase, and Erwinia ASNase were recorded. Event-free survival (EFS), overall survival (OS), healthcare utilization rates, and costs were compared between COG and DFCI-treated patients while adjusting for demographics and disease-factors using appropriate regression models. Healthcare-associated costs, ASNase costs, and total chemotherapy costs (2018 Canadian dollars) were compared. RESULTS: The study cohort included 802 patients, 146 (18.2%) of whom were treated on DFCI-based protocols. Median follow-up did not differ between between COG and DFCI patients; nor did EFS or OS. When adjusted for all demographic and disease-related variables, COG patients experienced significantly higher rates of ED visits [rate ratio (RR) 1.3, 95% confidence interval (95CI) 1.1-1.5; p=0.01]. Neither hospitalization rates nor rates of inpatient days differed between the two groups of patients. However, rates of outpatient visits were 60% higher among DFCI patients (RR 1.6, 95CI 1.5-1.7; p&amp;lt;0.0001). The median healthcare-associated cost in the first 5 years following initial diagnosis was $193,700 among COG patients [interquartile range (IQR) 149,200-272,700] compared to $288,000 among DFCI patients (IQR 233,300-407,300; p&amp;lt;0.01), mainly attributable to the cost associated with outpatient visits. In adjusted analyses, DFCI-associated costs were 70% higher (RR 1.7, 95CI 1.5-1.9; p&amp;lt;0.0001). The median ASNase-related cost was similar between COG and DFCI patients [$21,100, IQR 14,800-35,400 vs. $19,900, IQR 15,600-39,900; p=0.91]. The median total chemotherapy cost was higher among COG patients ($29,100, IQR 20,300-50,300 vs. $22,400, IQR 17,300-42,600; p&amp;lt;0.001]. However, ASNase and total chemotherapy costs were highest in DFCI patients treated with PEG-ASNase instead of E. Coli ASNase (N=36), reflecting contemporary practice. Among such patients, median ASNase-related costs were $45,200 (IQR 7,000-68,500) and median total chemotherapy costs were $48,000 (IQR 11,000-73,400) (p=0.004 and p=0.09 vs. COG patients). CONCLUSIONS: Though COG and DFCI protocols are associated with equivalent EFS and OS, patterns of healthcare utilization differ with the former associated with a 30% increase in the rate of ED visits and the latter associated with a 60% increase in the rate of outpatient visits. Overall, healthcare utilization-associated costs were increased in DFCI-treated patients. Though ASNase costs historically did not differ, the shift to PEG-ASNase is associated with higher ASNase and total chemotherapy costs on DFCI protocols. Decreases in PEG-ASNase cost and the ability to administer intravenous or intramuscular chemotherapy at home would decrease overall healthcare utilization and costs, and mitigate differences between COG and DFCI protocols. These results can inform efforts to decrease burden on both families and health systems. Disclosures No relevant conflicts of interest to declare.

Nurse Staffing and Skill Mix Patterns in Relation to Resident Care Outcomes in US Nursing Homes

ObjectivesThe purpose of this study was to identify patterns of nurse staffing and skill mix and estimate the impact of these patterns on rehospitalization and emergency department (ED) visits in nursing home (NH) residents. We also estimated the relative contribution of unique staffing patterns on variations in hospital and ED use rates. DesignRetrospective secondary data analysis at the facility level, using administrative data. Setting and ParticipantsData from Medicare/Medicaid certified NHs in the 2018 Certification and Survey Provider Enhanced Reporting System were merged with the NH Compare Claims-Based Quality Measures file, for those facilities with complete data available (N = 14,325). MethodsCluster analysis was performed to identify groups of NHs with similar nursing skill mix patterns, using measures that captured hours per resident day (HPRD) for registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs). We estimated the impact of cluster assignment on unplanned rehospitalization and ED visits using multivariate generalized estimating equations. Plots were generated to visualize simulation models that showed the relative contribution of unique staffing strategies to the outcomes, while holding other factors constant. ResultsWe identified 3 nursing skill mix clusters: high-RN, high-LPN, and high-CNA, relative to national staffing averages. After controlling for regional and organizational characteristics, residents in NHs in the high-RN cluster had significantly lower rehospitalization and ED use compared with those in the high-LPN cluster, with a similar nonsignificant trend for the high-CNA vs high-LPN clusters. Though the high-RN cluster had CNA HPRD similar to the high-CNA cluster, it relied much less on LPN staffing. Whereas NHs in the high-LPN cluster had proportionally fewer hours of care by both CNAs and RNs. Conclusions and ImplicationsNHs that emphasize LPN care in place of either RN or CNA care appears to exhibit higher rates of unplanned rehospitalization and ED visits among residents.