State Emergency Department Databases Research Articles

Application of Community Detection Methods to Identify Emergency General Surgery–Specific Regional Networks

There is growing interest in developing coordinated regional systems for nontraumatic surgical emergencies; however, our understanding of existing emergency general surgery (EGS) care communities is limited. To apply network analysis methods to delineate EGS care regions and compare the performance of this method with the Dartmouth Health Referral Regions (HRRs). This cross-sectional study was conducted using the 2019 California and New York state emergency department and inpatient databases. Eligible participants included all adult patients with a nonelective admission for common EGS conditions. Interhospital transfers (IHTs) were identified by transfer indicators or temporally adjacent hospitalizations at 2 different facilities. Data analysis was conducted from January to May 2024. Admission for primary EGS diagnosis. Regional EGS networks (RENs) were delineated by modularity optimization (MO), a community detection method, and compared with the plurality-based Dartmouth HRRs. Geographic boundaries were compared through visualization of patient flows and associated health care regions. Spatial accuracy of the 2 methods was compared using 6 common network analysis measures: localization index (LI), market share index (MSI), net patient flow, connectivity, compactness, and modularity. A total of 1 244 868 participants (median [IQR] age, 55 [37-70 years]; 776 725 male [62.40%]) were admitted with a primary EGS diagnosis. In New York, there were 405 493 EGS encounters with 3212 IHTs (0.79%), and 9 RENs were detected using MO compared with 10 Dartmouth HRRs. In California, there were 839 375 encounters with 10 037 IHTs (1.20%), and 14 RENs were detected compared with 24 HRRs. The greatest discrepancy between REN and HRR boundaries was in rural regions where one REN often encompassed multiple HRRs. The MO method was significantly better than HRRs in identifying care networks that accurately captured patients living within the geographic region as indicated by the LI and MSI for New York (mean [SD] LI, 0.86 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.16 [0.13] for REN vs 0.32 [0.21] for HRR) and California (mean [SD] LI, 0.83 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.19 [0.14] for REN vs 0.39 [0.43] for HRR). Nearly 27% of New York hospitals (37 of 139 hospitals [26.62%]) and 15% of California hospitals (48 of 336 hospitals [14.29%]) were reclassified into a different community with the MO method. Development of optimal health delivery systems for EGS patients will require knowledge of care patterns specific to this population. The findings of this cross-sectional study suggest that network science methods, such as MO, offer opportunities to identify empirical EGS care regions that outperform HRRs and can be applied in the development of coordinated regional systems of care.

Role of Hospital Connectedness in Brain Metastasis Outcomes

Although patients with brain metastases receive interdisciplinary and multi-institutional care, the association between neuro-oncologic care networks and patient outcomes remains unknown. As patients often interact with multiple facilities, quantifying this association across a network of hospitals is critical to capture the complexity of the health care journey for patients with brain metastases. To evaluate how statewide health care network metrics are associated with inpatient mortality and hospital length of stay (LOS) for patients with brain metastases. This multicenter, statewide cohort study used data from the 2018 to 2019 Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases. Primary analyses were completed by August 2023. Participants included adults with a brain metastases receiving care in Massachusetts. All inpatient and emergency department visits mapped for patients following the first diagnosis of brain metastasis. Inpatient mortality and hospital LOS were the main outcomes assessed. Hospital interdependence in brain metastases care was calculated using a connectedness score (weighted degree: weighted sum of ties to other care facilities). The association between hospital connectedness and clinical outcomes was analyzed using mixed-effects logistic and linear regression models, adjusting for hospital-level features. In this cohort study, 4679 patients with brain metastases were identified with inpatient or ED encounters in Massachusetts (from 2018 to 2019). The median (IQR) age was 64 (57-73) years, and 2559 (55%) were female. There was interdependence in brain metastases care, with 993 patients (21%) visiting 2 or more unique hospitals. Highly connected hospitals were heterogeneous, with many being small and one-half lacking subspecialty neuro-oncologic care or teaching status. Increased hospital connectedness was significantly associated with improved inpatient mortality for patients with brain metastases, with the lowest connectedness quartile associated with more than double the risk of mortality compared with the highest quartile (odds ratio, 2.34; 95% CI, 1.33-4.11; P = .003). A stepwise increase in inpatient mortality risk was observed as hospital connectedness decreased, independently of hospital volume. Furthermore, intermediate hospital connectedness was associated with increased hospital LOS (coefficient, 1.08; 95% CI, 0.17-1.95; P = .006). This study found that hospital-to-hospital interconnectedness was significantly associated with improved clinical outcomes for patients with brain metastases. The salience of network metrics highlights their potential role alongside other patient-level and hospital-level variables to evaluate and improve oncology care delivery.

Trends in Substance Use Disorder-Related Emergency Department Visits in California: An Analysis of 46 Million Visits From 2006 to 2011.

To better understand the development of the growing opioid crisis in the early 21st century, the authors studied trends in substance use disorder among 46,132,211 emergency department (ED) visit discharges in California between 2006 and 2011. Utilizing the California State Emergency Department Database, the authors identified substance use based on International Classification of Diseases, Ninth Revision codes. Tabular and multivariable analysis methods were applied. ED visits were considered clustered at the level of patient. The authors observed a notable increase in substance use prevalence from 7.32 ± 6.07 to 12.21 ± 9.35 per 1000 ED visits. Nonopioid substance use was more prevalent among individuals aged ≤ 50 years old. Opioid use disorder (OUD) was associated with a higher mortality rate in the ED. In 2011, OUD was significantly higher among American Indians visiting the ED. A multivariable analysis revealed that OUD was an independent predictor for increased ED visits after controlling for demographic factors. Despite an overall decrease in mortality rate, opioid-related ED visits showed a higher mortality rate, underscoring the grave consequences of OUD. Nonopioid substance use was prevalent among younger age groups, suggesting a need for age-specific interventions. A major finding was the elevated OUD among American Indians, indicating persistent health disparities impacting this demographic. OUD was an independent risk factor for excess ED visits, which could strain health care systems. The authors suggest strategies like nonopioid pain management, community-level programs, and bridging ED with outpatient treatment facilities to mitigate the opioid crisis and ED overutilization. These findings advocate for tailored public health strategies, addressing the underlying disparities to combat the opioid epidemic effectively.

Identifying opportunities for community EMS fall prevention

BackgroundFalls are a leading cause of morbidity and mortality among older adults in the United States. Current fall prevention interventions rely on provider referral or enrollment during inpatient admissions and require engagement and independence of the patient. Community emergency medical services (CEMS) are a unique opportunity to rapidly identify older adults at risk for falls and provide proactive fall prevention interventions in the home. We describe the demographics and treatment characteristics of the older adult population most likely to benefit from these interventions. Materials and methodsWe linked 2019 Healthcare Cost and Utilization Project Massachusetts State Emergency Department (ED) and State Inpatient Databases with American Hospital Association survey data to query ED encounters and inpatient admissions for adults age ≥55 with ED encounters for fall-related injury between July 1, 2019 and December 31, 2019. Univariable descriptive statistics assessed participant characteristics and bivariable tests of significance compared diagnoses, disposition, and hospital characteristics between older adults with and without an EMS encounter in the six months prior to the presenting fall. ResultsOf 66,027 older adults who presented with a fall to a Massachusetts ED in July-December 2019, 7,942 (11%) had a prior encounter with EMS in the preceding six months, most of which included an injury diagnosis (99%). Compared to older adults without previous EMS encounters, those with previous EMS encounters were more often in poorer health (17% vs. 10% with multiple or complex comorbidities, p < 0.001) and of lower socioeconomic status (12% vs. 8% in lowest neighborhood income quartile, p < 0.001; 10% vs. 6% enrolled in Medicaid, p < 0.001) compared to those without a prior EMS encounter. ConclusionsA significant proportion of older adults presenting to the ED with fall related injury have encounters with EMS in the preceding months. These participants are predisposed to poorer health and economic outcomes worsened by their fall and thus demonstrate a population that would benefit from CEMS fall prevention programs.

Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning.

Arthroscopic diagnosis and treatment of femoroacetabular pathology has experienced significant growth in the last 30 years; nevertheless, reduced utilization of orthopaedic procedures has been observed among the underrepresented population. The purpose of this study was to examine racial differences in case incidence rates, outcomes, and complications in patients undergoing hip arthroscopy. It was hypothesized that racial and ethnic minority patients would undergo hip arthroscopy at a decreased rate compared with their White counterparts but that there would be no differences in clinical outcomes. Cross-sectional study. The State Ambulatory Surgery and Services Database and the State Emergency Department Database of New York were queried for patients undergoing hip arthroscopy between 2011 and 2017. Patients were stratified into White and racial and ethnic minority races, and intergroup comparisons were performed for utilization over time, total charges billed per encounter, 90-day emergency department (ED) visits, and revision hip arthroscopy. Temporal trends in the utilization of hip arthroscopy were identified, and racial differences in secondary outcomes were analyzed with a semiparametric method known as targeted maximum likelihood estimation (TMLE) backed by a library of machine learning algorithms. A total of 9745 patients underwent hip arthroscopy during the study period, with 1081 patients of minority race (11.1%). White patients underwent hip arthroscopy at 5.68 (95% CI, 4.98-6.48) times the incidence rate of racial and ethnic minority patients; these incidence rates grew annually at a ratio of 1.11 in White patients compared with 1.03 in racial and ethnic minority patients (P < .001). Based on the TMLE, racial and ethnic minority patients were significantly more likely to incur higher costs (P < .001) and visit the ED within 90 days (P = .049) but had negligible differences in reoperation rates at a 2-year follow-up (P = .53). Subgroup analysis identified that higher likelihood for 90-day ED admissions among racial and ethnic minority patients compared with White patients was associated with Medicare insurance (P = .002), median income in the lowest quartile (P = .012), and residence in low-income neighborhoods (P = .006). Irrespective of insurance status, racial and ethnic minority patients undergo hip arthroscopy at a lower incidence and incur higher costs per surgical encounter.

Availability of behavioral health crisis care and associated changes in emergency department utilization.

To determine whether availability of behavioral health crisis care services is associated with changes in emergency department (ED) utilization. We used longitudinal panel data (2016-2021) on ED utilization from the Healthcare Cost and Utilization Project's State ED Databases and a novel dataset on crisis care services compiled using information from the Substance Abuse and Mental Health Services Administration's National Directories of Mental Health Treatment Facilities. A total of 1002 unique zip codes from Arizona, Florida, Kentucky, Maryland, and Wisconsin were included in our analyses. To estimate the effect of crisis care availability on ED utilization, we used a linear regression model with zip code and year fixed effects and standard errors accounting for clustering at the zip code-level. ED utilization related to mental, behavioral, and neurodevelopmental (MBD) disorders served as our primary outcome. We also examined pregnancy-related ED utilization as a nonequivalent dependent variable to assess residual bias in effect estimates. We extracted data on crisis care services offered by mental health treatment facilities (n = 14,726 facility-years) from the National Directories. MBD-related ED utilization was assessed by applying the Clinical Classification Software Refined from the Healthcare Cost and Utilization Project to the primary ICD-10-CM diagnosis code on each ED encounter (n = 101,360,483). All data were aggregated to the zip code-level (n = 6012 zip-years). The overall rate of MBD-related ED visits between 2016 and 2021 was 1610 annual visits per 100,000 population. Walk-in crisis stabilization services were associated with reduced MBD-related ED utilization (coefficient = -0.028, p = 0.009), but were not significantly associated with changes in pregnancy-related ED utilization. Walk-in crisis stabilization services were associated with reductions in MBD-related ED utilization. Decision-makers looking to reduce MBD-related ED utilization should consider increasing access to this promising alternative model.

Intersectional trends in child and adolescent suicide-related emergency department encounters in Florida (2016‒2021).

Emergency department (ED) visits resulting from suicidal thoughts and behaviors have increased at alarming rates among youth in the United States in recent years. Understanding trends among specific racial, ethnic, gender, and/or age subgroups can provide the foundation for tailored solutions for those with the greatest need for support. Using data from the Florida State Emergency Department Database from 2016 to 2021, we calculated annual rates of ED suicide-related diagnoses per 1000 young people aged 8‒21 years. We explored annual trends by age and intersectional race/ethnicity and sex subgroups. Additionally, we examined subgroup-specific stratified percent changes from 2016 to 2019 and 2016 to 2021. Among 8‒12-year olds, the highest rates of suicide-related ED encounters occurred among Black males and females and this trend was steady over time. Among 13‒21-year-old patients, Black and White females displayed the highest rates of suicide-related ED encounters across 2016‒2021, and all subgroups experienced a slight decline in 2020 and 2021. Rates generally increased between 2016 and 2019, with the largest percent increase (10.6%) occurring among Black females aged 18‒21 years, whereas there was a trend of decreased rates among most subgroups between 2019 and 2021. Across all years and age groups, Black females showed consistently higher rates of suicide-related ED encounters than almost any other subgroup, supporting previous research that Black adolescent females may be disproportionately suffering from the mental health crisis faced by young people. Furthermore, preteen Black males need additional mental health support, as do adolescent and young adult White females.

Macroeconomic antecedents of racial disparities in psychiatric-related emergency department visits.

To test whether monthly declines in aggregate employment precede a rise in African American psychiatric-related ED visits (PREDVs) relative to white visits among low-income, working-age populations. This study used repeated cross-sectional time series data for 6.7 million PREDVs among African Americans and white individuals from the State Emergency Department Database in 48 Metropolitan Statistical Areas (MSAs) across four states (Arizona, California, New York, New Jersey) from 2006 to 2011. MSA-level monthly employment data were obtained from the US Bureau of Labor Statistics. The outcome was specified as the race of a PREDV (African American = 1, white = 0). The exposure was operationalized as monthly percent change in MSA-level aggregate employment lagged by 0 to 3 months. Analysis included logistic regressions with county, month and year fixed effects, and clustered standard errors to examine the relation between odds of an African American PREDV (relative to white) following 0 to 3 months lag of MSA-level aggregate employment change. Logistic regression results indicate that the odds of PREDVs for publicly insured, working-age African Americans (relative to white individuals) increase 3 months after ambient employment decline (OR: 0.994, 95% CI: [0.990 0.998]). Economic downturns may marginally increase psychiatric help-seeking in EDs among publicly insured (low-income), working-age African Americans relative to white individuals. Findings from this study may contribute to the theoretical understanding of dynamic drivers of racial disparities in psychiatric ED visits.

Provision of Behavioral Health Services at Community Health Centers and Hospital Emergency Department Visits.

Numerous US patients seek the hospital emergency department (ED) for behavioral health care. Community Health Centers (CHCs) offer a potential channel for redirecting many to a more patient-centered, lower cost setting. The aim of this study was to identify unique market areas serviced by CHCs and to examine whether CHCs are effective in offsetting behavioral health ED visits. We identified CHC-year specific service areas using patient origin zip codes. We then estimated random effects models applied to 42 federally qualified CHCs operating in New York State during 2013-2020. The dependent variables were numbers of ED mental health (substance use disorder) visits per capita in a CHC's service area, drawn from HCUP State Emergency Department Databases. Key explanatory variables measured CHC number of mental health (substance use disorder) visits, number of unique mental health (substance use disorder) patients, and mental health (substance use disorder) intensity, obtained from the HRSA Uniform Data System. Controlling for population, we observed small negative effects of CHC behavioral health integration in explaining ED behavioral health utilization. Measures of mental health utilization in CHCs were associated with 1.3%-9.3% fewer mental health emergency department visits per capita in Community Health Centers' service areas. Measures of substance use disorder utilization in Community Health Centers were associated with 1.3%-3.0% fewer emergency department visits per capita. Results suggest that behavioral health integration in CHCs may reduce reliance on hospital EDs, but that policymakers explore more avenues for regional coordination strategies that align services between CHCs and local hospitals.

Trends of emergency department visits for cannabinoid hyperemesis syndrome in Nevada: An interrupted time series analysis.

Cannabis-related emergency department visits have increased after legalization of cannabis for medical and recreational use. Accordingly, the incidence of emergency department visits due to cannabinoid hyperemesis syndrome in patients with chronic cannabis use has also increased. The aim of this study was to examine trends of emergency department visit due to cannabinoid hyperemesis syndrome in Nevada and evaluate factors associated with the increased risk for emergency department visit. The State Emergency Department Databases of Nevada between 2013 and 2021 were used for investigating trends of emergency department visits for cannabinoid hyperemesis syndrome. We compared patients visiting the emergency department due to cannabinoid hyperemesis syndrome with those visiting the emergency department due to other causes except cannabinoid hyperemesis and estimated the impact of cannabis commercialization for recreational use. Emergency department visits due to cannabinoid hyperemesis syndrome have continuously increased during the study period. The number of emergency department visits per 100,000 was 1.07 before commercialization for recreational use. It increased to 2.22 per 100,000 (by approximately 1.1 per 100,000) after commercialization in the third quarter of 2017. Those with cannabinoid hyperemesis syndrome were younger with fewer male patients than those without cannabinoid hyperemesis syndrome. A substantial increase in emergency department visits due to cannabinoid hyperemesis syndrome occurred in Nevada, especially after the commercialization of recreational cannabis. Further study is needed to explore factors associated with emergency department visits.

Socioeconomic and racial disparities in revisits, indication, and readmission or reoperation in pediatric tonsillectomy

IntroductionPediatric tonsillectomy is a frequent otolaryngologic procedure. This study aimed to characterize disparities in post-tonsillectomy revisits, including emergency department evaluation, readmission, or reoperation as well as indication for revisit. MethodsCases of inpatient and ambulatory pediatric tonsillectomy in New York and Florida in 2016 constituted the analytic sample. Patients were extracted from the State Ambulatory Surgery Databases (SASD) and State Inpatient Databases (SID) and linked to the SID and State Emergency Department Database (SEDD) and SASD. Outcomes include 3 types of revisits within 30 days: ED visits, hospital readmissions, and reoperation. Indication for revisit was also analyzed. Multivariable analysis determined the association of each outcome with gender, age, race/ethnicity, primary payer, urbanicity, and zip code median household income quartile. The Holm Bonferroni test was used to correct for multiple hypothesis testing. Results15,264 pediatric tonsillectomies were included. The revisit rate was 6.77% (N = 1,034, 49.1% female; 6 years median age [interquartile range: 5]). The 30-day ED revisit rate was 4.85%, readmission rate was 1.27%, and reoperation rate was 0.65%. On multivariate analysis, Latinx patients (OR = 3.042, 95% CI = 1.393–6.803) and those who identify as other race/ethnicity (OR = 6.116, 95% CI = 1.989–19.245) have greater odds of requiring inpatient care for indications including pain, dehydration, nausea, and vomiting compared to white patients. No significant differences in tier of care for the management of post-tonsillectomy hemorrhage were identified. ConclusionDisparities in pediatric post-tonsillectomy ED presentation, readmission and reoperation demonstrate opportunities to improve patient safety and equity.

Patient and Hospital Characteristics Associated with Admission Among Patients With Minor Isolated Extremity Firearm Injuries: A Propensity-Matched Analysis.

To quantify the association between insurance and hospital admission following minor isolated extremity firearm injury. The association between insurance and injury admission has not been examined. This was an observational retrospective cohort study of minor isolated extremity firearm injury captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases in 6 states (New York, Arkansas, Wisconsin, Massachusetts, Florida, and Maryland) from 2016 to 2017 among patients aged 16 years or older. The primary exposure was insurance. Admitted patients were propensity score matched to nonadmitted patients on age, extremity Abbreviated Injury Score, and Elixhauser Comorbidity Index with exact matching within hospital to adjust for selection bias. A general estimating equation logistic regression estimated the association between insurance and odds of admission in the matched cohort while controlling for sex, race, injury intent, injury type, hospital profit type, and trauma center designation with observations clustered by propensity score-matched pairs within hospital. A total of 8151 patients presented to hospital with a minor isolated extremity firearm injury between 2016 and 2017 in 6 states. Patients were 88.0% male, 56.6% Black, and 71.7% aged 16 to 36 years old, and 22.1% were admitted. A total of 2090 patients were matched on propensity for admission. Privately insured matched patients had 1.70 higher adjusted odds of admission and 95% confidence interval of 1.30 to 2.22, compared with uninsured after adjusting for patient and hospital characteristics. Insurance was associated with hospital admission for minor isolated extremity firearm injury.

Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.

To quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). Geospatial data from the Centers for Medicare and Medicaid Services, the Census Bureau, and the Dartmouth Institute. Drive-time isochrones from MapBox. Area Deprivation Index (ADI) data. 2017 inpatient discharge data from Arizona, Florida, Iowa, Maryland, Nebraska, New Jersey, New York, and Wisconsin, State Emergency Department Databases and State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality; and Fee-For-Service Medicare data in 48 states. Cross-sectional, descriptive analysis. The capture rate was the percentage of inpatient discharges occurring in the same HCSA as the hospital. We compared capture rates for each HCSA definition for different populations and by hospital type. We measured SDOH heterogeneity using the coefficient of variation of the ADI among ZIP codes within each HCSA. HCSA definitions captured a wide range of inpatient discharges, ranging from 20% to 50% for Public Use Microdata Areas (PUMAs) to 93%-97% for Metropolitan Statistical Areas (MSAs). Three-quarters of inpatient discharges were from facilities within the same county as the patient's residential ZIP code, while nearly two-thirds were within the same Hospital Service Area. From the hospital perspective, 74.7% of inpatient discharges originated from within a 30-min drive and 90.1% within a 60-min drive. Capture rates were the lowest for teaching hospitals. PUMAs and drive-time-based HCSAs encompassed more homogenous populations while MSAs, Commuting Zones, and Hospital Referral Regions captured the most variation. The proportion of hospital discharges captured by each HCSA varied, with MSAs capturing the highest proportion of discharges and PUMAs capturing the lowest. Additionally, researchers face a trade-off between capture rate and population homogeneity when deciding which HCSA to use.

Appendicitis Hospitalization Care Costs Among Patients With Delayed Diagnosis of Appendicitis

Delayed appendicitis diagnosis is associated with worse outcomes. Appendicitis hospital care costs associated with delayed diagnosis are unknown. To determine whether delayed appendicitis diagnosis was associated with increased appendicitis hospital care costs. This cohort study used data from patients receiving an appendectomy aged 18 to 64 years in 5 states (Florida, Maryland, Massachusetts, New York, Wisconsin) that were captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department databases for the years 2016 and 2017 with no additional follow-up. Data were analyzed January through April 2023. Delayed diagnosis was defined as a previous emergency department or inpatient hospital encounter with an abdominal diagnosis other than appendicitis, and no intervention 7 days prior to appendectomy encounter. The main outcome was appendicitis hospital care costs. This was calculated from aggregated charges of encounters 7 days prior to appendectomy, the appendectomy encounter, and 30 days postoperatively. Cost-to-charge ratios were applied to charges to obtain costs, which were then adjusted for wage index, inflation to 2022 US dollar, and with extreme outliers winsorized. A multivariable Poisson regression estimated appendicitis hospital care costs associated with a delayed diagnosis while controlling for age, sex, race and ethnicity, insurance status, care discontinuity, income quartile, hospital size, teaching status, medical school affiliation, percentage of Black and Hispanic patient discharges, core-based statistical area, and state. There were 76 183 patients (38 939 female [51.1%]; 2192 Asian or Pacific Islander [2.9%], 14 132 Hispanic [18.5%], 8195 non-Hispanic Black [10.8%], 46 949 non-Hispanic White [61.6%]) underwent appendectomy, and 2045 (2.7%) had a delayed diagnosis. Delayed diagnosis patients had median (IQR) unadjusted cost of $11 099 ($6752-$17 740) compared with $9177 ($5575-$14 481) for nondelayed (P < .001). Patients with delayed diagnosis had 1.23 times (95% CI, 1.16-1.28 times) adjusted increased appendicitis hospital care costs. The mean marginal cost of delayed diagnosis was $2712 (95% CI, $2083-$3342). Even controlling for delayed diagnosis, non-Hispanic Black patients had 1.22 times (95% CI, 1.17-1.28 times) the adjusted increased appendicitis hospital care costs compared with non-Hispanic White patients. In this cohort study, delayed diagnosis of appendicitis was associated with increased hospital care costs.

Catholic Hospital Affiliation and Postpartum Contraceptive Care and Subsequent Deliveries

In recent years, the number of Catholic hospitals has grown, raising concerns about access to contraception. The association between living in an area in which the closest hospital is Catholic and the probability of postpartum contraception and subsequent deliveries is unknown. To assess whether living in an area in which the closest hospital was Catholic was associated with the probability of postpartum contraception and subsequent deliveries. This cohort study used data from the Healthcare Cost and Utilization Project's State Inpatient Databases, State Emergency Department Databases, and State Ambulatory Surgery and Services Databases for 11 states (California, Florida, Georgia, Missouri, Nebraska, Nevada, New York, South Carolina, Tennessee, Vermont, and Wisconsin). Female patients with a delivery from 2016 to 2019 who lived within 20 miles of a nonfederal acute care hospital were included, with patients followed up for 1 to 3 years. Coarsened exact matching was used to match patients based on the county-level percentage of the population affiliated with Catholic churches and urbanicity, and the zip code-level number of hospitals within 5 and 20 miles, median household income, and percentage of the population by race and ethnicity. Data were analyzed from April 2022 to November 2023. Residence in a zip code in which the closest hospital was Catholic. Probabilities of delivery at a Catholic hospital, surgical sterilization within 1 year of delivery, receipt of long-acting reversible contraception at delivery, and subsequent delivery within 3 years. The sample consisted of 4 101 443 deliveries (1 301 792 after matching), with 14.5% of patients living in exposed zip codes (ie, where the closest hospital was Catholic). Living in exposed zip codes was associated with a 21.26-percentage point (pp) increase in the probability of delivery at a Catholic hospital (95% CI, 19.50 to 23.02 pp; 237.3% relative to the mean in unexposed zip codes; P < .001). Additionally, comparing exposed vs unexposed zip codes, the probability of surgical sterilization at delivery decreased by 0.95 pp (95% CI, -1.14 to -0.76 pp; P < .001) and the probability of sterilization in the year after discharge further decreased by 0.21 pp (95% CI, -0.29 to -0.13; P < .001). Subsequent deliveries within 3 years increased 0.47 pp (95% CI, -0.03 to 0.97 pp; 2.3% relative to the mean in unexposed zip codes; P = .07). This cohort study finds that living in a zip code in which the closest hospital was Catholic was associated with a modest decrease in the probability of postpartum surgical sterilizations and a modest increase in the probability of subsequent deliveries.

Socioeconomic Disparities and Emergency Department Visits for Diabetic Retinopathy in California.

Purpose: To investigate the association between neighborhood-level socioeconomic factors, quantified by the Distressed Communities Index, and emergency department visits for diabetic retinopathy (DR). Methods: All patients who presented to the emergency department for DR in California were analyzed using the State Emergency Department Database (2018-2020). Patients were stratified by Distressed Communities Index score and DR severity. Logistic regression was applied to explore the independent correlation between Distressed Communities Index scores and proliferative DR (PDR). Results: Of 2 725 195 emergency department visits for diabetic patients, Distressed Communities Index data were available for 2 459 577 (90.3%); 39 693 were for DR, including 13 617 (34.3%) for PDR. Hispanics (44.2%) were the largest racial/ethnic group to present for PDR, followed by non-Hispanic Whites (19.6%) and non-Hispanic Blacks (19.3%). A significant association was observed between the Distressed Communities Index and emergency department visits for PDR, with distressed neighborhoods having the highest incidence (adjusted odds ratio [aOR], 1.63; 95% CI, 1.20-2.23; P = .001). Other predictors included Hispanic ethnicity (aOR, 2.21; 95% CI, 1.97-2.48; P < .001) and Black race (aOR, 1.46; 95% CI, 1.28-1.67; P < .001) compared with White race and having Medicaid (aOR, 1.37; 95% CI, 1.13-1.65; P = .001) compared with private insurance. Conclusions: The Distressed Communities Index identified patients residing in the most distressed neighborhoods as being at the highest risk for presenting to the emergency department for PDR based on 7 socioeconomic factors. Policymakers may consider the Distressed Communities Index as a tool for targeting DR prevention strategies and improving healthcare accessibility.

The association between community-level economic deprivation and incidences of emergency department visits on account of attempted suicides in Maryland.

Suicide is a major cause of mortality in the United States, accounting for 14.5 deaths per 100,000 population. Many emergency department (ED) visits in the United States are due to attempted suicides. Suicide attempts predict subsequent completed suicides. Socioeconomic factors, such as community-level socioeconomic deprivation, significantly affect many traditional risk factors for attempted suicides and suicides. To determine the association between community-level socioeconomic deprivation and ED visits for attempted suicide in Maryland. A retrospective analysis of attempted suicides in the Maryland State Emergency Department Database from January 2018 to December 2020. Community-level socioeconomic deprivation was measured using the Distress Community Index (DCI). Multivariate regression analyses were conducted to identify the association between DCI and attempted suicides/self-harm. There were 3,564,987 ED visits reported in the study period, with DCI data available for 3,236,568 ED visits; 86.8% were younger than 45 years, 64.8% were females, and 54.6% non-Hispanic Whites. Over the study period, the proportion of ED visits due to attempted suicide was 0.3%. In the multivariate logistic regression, compared to prosperous zones, those in comfortable (OR = 0.80, 95% CI: 0.73-0.88, p < 0.01), Mid-Tier (OR = 0.76, 95%CI:0.67-0.86, p < 0.01), At-Risk (OR = 0.77; 95%CI: 0.65-0.92, p < 0.01) and Distressed zones (OR = 0.53; 95% CI:0.42-0.66, p < 0.01) were less likely to visit the ED for attempted suicide. Prosperous communities had the highest rate of attempted suicides, with the risk of attempted suicide increasing as individuals move from the least prosperous to more prosperous areas.

Abstract WP252: MARS: Migraine and Retinal Stroke - A Population-Based Cohort Study of 39 Million Patients

Introduction: Migraine is a risk factor for cerebral ischemic stroke. However, it is not known if migraine is a risk factor for retinal stroke (central retinal artery occlusion, CRAO). Methods: We performed a retrospective cohort study using population-based data from the State Inpatient Databases and State Emergency Department Databases from New York (2006-2015), California (2003-2011), and Florida (2005-2015) to determine the association between hospital-documented migraine and retinal stroke. The primary exposure was hospital-documented migraine. The primary endpoint was hospital-documented CRAO (ICD-9-CM code 362.31 in the primary diagnosis position) and secondary endpoints included BRAO and any retinal artery occlusion (RAO). Cause-specific hazard models were used to model the association between migraine and CRAO. Results: Of 39,835,024 patients included in the study, 1,109,140 had migraine documented during the exposure window. Patients with migraine were younger (40.2±15.2 vs. 46.9±19.8, standardized difference (SD) 0.38), more likely to be female (81.4% vs. 54.7%, SD 0.6), and had a lower burden of atrial fibrillation (4.5% vs. 6.9%, SD 0.1), chronic kidney disease (1.9% vs. 3.6%, SD 0.2), and congestive cardiac failure (2.7% vs. 5.1%, SD 0.12). Migraine was not associated with CRAO in the primary diagnostic position (adjusted hazard rate (aHR) 1.15 (95% CI: 0.79-1.67). However, it was associated with CRAO in any diagnostic position (aHR 1.39 (95% CI: 1.08-1.78). As positive controls, we replicated previously established associations of migraine with cerebral ischemic stroke (aHR 1.35 (95% CI: 1.32-1.38) and embolic ischemic stroke (aHR 1.15 (95% CI: 1.08-1.22). Conclusions: In a large, claims-based study, we found a risk-adjusted association between migraine and CRAO considered in any diagnostic position. This finding sets the stage for future work leveraging both outpatient and pharmacy-based claims to further explore this finding.

Abstract TMP78: Disparities in Experiencing Major Adverse Cardiovascular Events Among Survivors of Spontaneous Intracerebral Hemorrhage by Hematoma Location

Background: Large studies evaluating the association of hematoma location with the risk of developing major adverse cardiovascular events (MACE) among survivors of intracerebral hemorrhage (ICH) in the United States are lacking. Methods: We identified adult (&gt;=18 years) ICH survivors from the state inpatient and the state emergency department databases of Florida, New York, Maryland, Washington, and Georgia (2016 - 2019). We fit a series of multivariable Fine-Gray sub-distribution hazard models, with the competing risk of death, and report the sub-distribution hazard ratio (SHR) and 95% confidence interval (CI) of the independent associations of hematoma location (lobar vs. non-lobar) with recurrent ICH (r-ICH), acute ischemic stroke (AIS), acute myocardial infarction (AMI), and MACE (any stroke, AMI, systemic embolism, or vascular death). Results: Among 10,652 ICH patients (median age [IQR]: 70 [58 - 80] years; 47.7% female; 43.2% lobar ICH), 3.3%, 3.1%, 0.5%, and 8.1%, respectively, experienced r-ICH, AIS, AMI, and MACE. Patients with lobar ICH (vs. non-lobar ICH) had a higher risk of r-ICH (SHR, CI: 1.67, 1.35 - 2.07) and MACE (1.28, 1.14 - 1.44). Blacks (vs. Whites) have a higher risk of AIS (1.64, 1.32 - 2.03) and MACE (1.42, 1.22 - 1.65). Also, privately insured patients (vs. Medicare) have a lower risk of r-ICH (0.45, 0.31 - 0.67), AIS (0.71, 0.53 - 0.95), and MACE (0.58, 0.47 - 0.71). Patients from low-income zip codes have a higher risk of AMI (1.83, 1.23 - 2.15) and MACE (1.16, 1.02 - 1.32). Patients with atrial fibrillation had a higher risk of AIS (1.47, 1.18 - 1.84) and MACE (1.26, 1.07 - 1.49). Patients with a high risk of metabolic syndrome (&gt;= 2 of the following: hypertension, diabetes, hyperlipidemia, or obesity) have a higher risk of AIS (1.37, 1.13 - 1.65), AMI (1.81, 1.19 - 2.75), and MACE (1.28, 1.13 - 1.44). Conclusions: Developing targeted secondary prevention strategies tailored to the specific sociodemographic and clinical profiles of ICH survivors is warranted.

Characterizing emergency department and inpatient health care utilization after seizure-related hospitalization: A retrospective cohort study.

Seizure care is a significant driver of health care costs in both emergency department (ED) and inpatient settings, but the majority of studies have focused on inpatient admissions as the only metric of health care utilization. This study aims to better characterize ED and inpatient encounters among patients with seizure to inform care and policy. Using statewide administrative data from the Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases from Florida and New York, we identified patients with a seizure-related index hospitalization between January 1, 2016, and December 31, 2018. Among this cohort, we examined the incidence and characteristics of subsequent acute care visits in the ED and inpatient settings for 365 days after initial hospital discharge. A total of 54 456 patients had an eligible seizure-related hospitalization. Patients were 49% female, predominantly White (64%) and non-Hispanic (84%), and used a public primary payer (68%). There were 36 838 (68%) patients with at least one acute care visit in the year following discharge. Overall, patients had a median of 2 (interquartile [IQR] = 1-5) subsequent acute care visits and the median time to first acute care visit was 53 days (IQR = 15-138). Of the 154 369 subsequent acute care visits, 97 399 (63%) were ED-only visits, 56 970 (37%) were readmissions, and 37 176 (24%) were seizure-related. There were 18 786 patients (35%) with four or more acute care visits over 365 days of follow-up. Patients with four or more visits contributed 84% of acute care visits and 78% of costs after initial hospitalization. The majority of patients hospitalized for seizure return to the ED or hospital at least once in the year after discharge. A small portion of patients account for the majority of ED and inpatient visits as well as health care costs associated with this population, identifying a subgroup of patients who may benefit from improved inpatient and outpatient management.