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Objective: Emergency department observation units (EDOUs) are used to manage common pediatric illnesses and reduce the admission rate to the hospital. Most of these patients require a short duration of observation before a determination can be made whether they need to be admitted to the hospital or safely discharged home. The purpose of this study was to determine the characteristics of admissions from a pediatric EDOU for the top 10 diagnoses admitted to the unit. This will help standardize the disposition of such types of patients from the ED, hence improving the efficiency of the unit., Methods: We did a retrospective surveillance study of admitted patients from 0 to 18 years of age from the EDOU for the top 10 diagnoses. Descriptive data were reported using percentages and medians with interquartile ranges. Pearson χ 2 tests were used to determine significant differences ( P < 0.05) between the reason for admission and medical history., Results: In total, 520 patients were admitted from the EDOU during the study period. The median patient age was 3.39 years, with most being Hispanic and female. The top three primary diagnoses of all admitted patients were cellulitis and abscess, gastroenteritis, and bronchiolitis. Sixty-three percent of all admitted patients had secondary diagnoses. Most of these patients were admitted to the inpatient unit due to progression of the primary condition., Conclusions: The characteristics of admissions from the EDOU may help us to understand historical experience regarding diagnoses, timing, and indications of deterioration, resource utilization, and other metrics that resulted in transfers of EDOU patients to the intensive care unit/operating room/inpatient units.

Study Objective: We implemented a virtual observation unit in which emergency department (ED) patients receive observation-level care at home. Our primary aim was to compare this new care model to in-person observation care in terms of brick-and-mortar ED length of stay (inclusive of ED observation unit time) as well as secondarily on inpatient admission and 72-hour return visits (overall and with admission)., Methods: In a retrospective analysis of electronic health record data on ED observation patients from January 1, 2022 to December 29, 2022 from an academic urban ED, we used propensity matching to compare virtual to in-person observation patients on outcomes of interest. Patients were matched 1:1 based on age, sex, Charlson Comorbidity Index, and reason for observation. We also conducted real-time review of all virtual observation cases for potential safety concerns., Results: Of 8,218 observation stays, 361 virtual observation patients were matched with 361 in-person observation patients. Virtual observation patients experienced lower median brick-and-mortar ED + EDOU LOS [14.6 (IQR 10.2, 18.9) versus 33.3 (IQR 28.1, 38.1) hours] and lower inpatient admission rates (10.2% [SD 5.0] versus 24.7% [SD 11.3]). The 72-hour return rate was higher for virtual observation patients (3.6% [SD 3.0] versus 2.5% [SD 3.0]). Among those with return visits, the rate of inpatient admission was higher among virtual observation patients (53.8% [SD 3.2] versus 11.1% [13.0]). There were no significant patient safety events recorded., Conclusion: Virtual observation unit patients used fewer hours in ED and ED observation relative to on-site observation patients. This new care delivery model warrants further study because it has the potential to positively impact ED capacity., (Copyright © 2024 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Objectives: Many children who require hospitalization are ideal candidates for care in pediatric observation units (POUs) rather than inpatient pediatric units. Differences in outcomes between children cared for in these 2 practice settings have not been thoroughly evaluated., Methods: In this retrospective cohort study, children aged 0 to 18 years admitted to a POU at a community hospital or inpatient unit at a children's hospital were enrolled if they met specific clinical criteria. Information regarding the current illness, medical history, and hospital course was collected. Hospital length of stay (LOS) was analyzed as the primary outcome; secondary outcomes included conversion to inpatient care for the POU group and return to pediatric emergency department within 7 days. Subgroup analysis was conducted on children presenting with respiratory illnesses. Propensity scores were used as a predictor in the final model., Results: One hundred eighty-one admissions, 92 to POU and 89 to an inpatient unit, were analyzed. Mean LOS was 24.4 hours (95% confidence interval [CI], 21.7-27.1) for observation and 43.2 hours (95% CI, 37.8-48.6) for inpatient ( P < 0.01). Among the 126 children admitted for respiratory illnesses, the mean LOS was 32.3 hours (95% CI, 26.0-38.6) for observation and 48.1 hours (95% CI, 42.2-54.0) for inpatient ( P < 0.01). Survival analysis demonstrated a 1.61 (95% CI, 1.07-2.42) fold shorter time to discharge among children admitted to observation compared with inpatient ( P = 0.02) and a 1.70 (95% CI, 1.07-2.71) fold shorter time to discharge from observation compared with inpatient for respiratory illnesses ( P = 0.03). Within 7 days of discharge, 2 (2%) patients from the observation group and 1 (1%) from the inpatient group returned to the pediatric emergency department., Conclusions: These findings suggest that POU may provide the means toward efficient care for children in community settings with illnesses requiring brief hospitalizations. Future work including prospective investigations is needed to ascertain the generalizability of these findings., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Emergency Department (ED) Observation Units (OU) can provide safe, effective care for low risk patients with intracranial hemorrhages. We compared current ED OU use for patients with subdural hematomas (SDH) to the validated Brain Injury Guidelines (BIG) to evaluate the potential impact of implementing this risk stratification tool., Methods: Retrospective cohort of patients ≥18 years old with SDH of any cause from 2014 to 2020 to evaluate for potential missed OU cases. Missed OU cases were defined as patients with an initial Glasgow Coma Score (GCS) of 15 with hospital length of stays (LOS) <2 days, who did not meet the composite outcome and were not cared for in the OU or discharged from the ED. Composite outcome included in-hospital death or transition to hospice care, neurosurgical intervention, GCS decline, and worsening SDH size. Secondary outcomes were whether application of BIG would increase ED OU use or reduce CT use., Results: 264 patients met inclusion criteria over 5.3 year study timeframe. Mean age was 61 years (range 19-93) and 61.4% were male. SDH were traumatic in 76.9% and 60.2% of the cohort had additional injuries. The admission rate was 81.4% (n = 215). Fourteen (6.5%) missed OU cases were identified (2.6/year). Retrospective application of BIG resulted in 82.6% (n = 217) at BIG 3, 10.2% (n = 27) at BIG 2 and 7.6% (n = 20) at BIG 1. Application of BIG would not have decreased admission rates (82.6% BIG 3) and BIG 1 and 2 admissions were often for medical co-morbidities. The composite outcome was met in 50% of BIG 3, 22% of BIG 2, and no BIG 1 patients., Conclusion: In a level 1 trauma center with an established observation unit, current clinical care processes missed very few patients who could be discharged or placed in ED OU for SDH. Hospital admissions in BIG 1/2 were driven by co-morbidities and/or injuries, limiting applicability of BIG to this population., Competing Interests: Declaration of competing interest The authors report no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: To describe the feasibility of managing hyponatremia patients under outpatient observation status in an academic medical center, and compare outcomes based on the use of an emergency department observation unit (EDOU)., Methods: This is a retrospective cohort study of emergency department hyponatremic patients managed in four hospitals within a large urban academic medical center over 27 months. All patients had an admit-to-observation order, ICD-10 codes for hyponatremia, and mild (130-135 mmol/L) to moderate (121-129 mmol/L) hyponatremia. Observation settings were divided into two groups: EDOU and Non-Observation Unit (NOU) inpatient beds. Severe hyponatremia (≤120 mmol/L) was excluded. Primary clinical outcomes were inpatient admit rate, length of stay (LOS), total direct cost, the rate of adverse events and 30-day recidivism., Results: 188 patients were managed as an observation patient, with 64 managed in an EDOU setting (age 74.0 yr, 70.3% female) and 124 managed in a NOU setting (age 71.5 yr, 64.5% female). Patient subgroups were similar in terms of presenting complaints, comorbidities, and medication histories. Initial and final sodium levels were similar between settings: EDOU (125.1 to 132.6 mmol/L) vs NOU (123.5 to 132.0 mmol/L). However, outcomes differed by setting for observation to inpatient admit rate (EDOU 28.1% vs NOU 37.9%, adjusted effect 0.70), overall length of stay (EDOU 19.2 h vs NOU 31.9 h; adjusted effect -10.5 h and total direct cost ($1230 vs $1531; adjusted effect -$167). EDOU sodium correction rates were faster (EDOU 0.44 mmol/L/h vs 0.24 mmol/L/h; adjusted effect 0.15 mmol/L/h) and 30-day recidivism rate was similar (EDOU 13% vs NOU 15%). There were no index visit deaths or intensive care unit admissions., Conclusion: Management of selected hyponatremia patients under observation status is feasible, with the EDOU setting demonstrating lower admit rates, shorter length of stay, and lower total direct costs with similar clinical outcomes., Competing Interests: Declaration of competing interest No conflicts of interest for all authors., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: More than 3 million cardiovascular implantable electronic devices (CIEDs) are implanted annually. There are minimal data regarding the timing of diagnosis of acute complications after implantation. It remains unclear whether patients can be safely discharged less than 24 hours postimplantation., Objective: The purpose of this study was to determine the precise timing of acute complication diagnosis after CIED implantation and optimal timing for same-day discharge., Methods: A retrospective cohort analysis of adults 18 years or older who underwent CIED implantation at a large urban quaternary care medical center between June 1, 2015, and March 30, 2020, was performed. Standard of care included overnight observation and chest radiography 6 and 24 hours postprocedure. Medical records were reviewed for the timing of diagnosis of acute complications. Acute complications included pneumothorax, hemothorax, pericardial effusion, lead dislodgment, and implant site hematoma requiring surgical intervention., Results: A total of 2421 patients underwent implantation. Pericardial effusion or cardiac tamponade was diagnosed in 13 patients (0.53%), pneumothorax or hemothorax in 19 patients (0.78%), lead dislodgment in 11 patients (0.45%), and hematomas requiring surgical intervention in 5 patients (0.2%). Of the 48 acute complications, 43 (90%) occurred either within 6 hours or more than 24 hours after the procedure. Only 3 acute complications identified between 6 and 24 hours required intervention during the index hospitalization (0.12% of all cases)., Conclusion: Most acute complications are diagnosed either within the first 6 hours or more than 24 hours after implantation. With rare exception, patients can be considered for discharge after 6 hours of appropriate monitoring., (Copyright © 2021 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)

Importance: Protocol driven ED observation units (EDOU) have been shown to improve outcomes for patients and payers, however their impact on an entire health system is unknown. Two thirds of US hospitals do not have such units., Objective: To determine the impact of a protocol-driven EDOU on health system length of stay, cost, and resource utilization., Methods: A retrospective, observational, cross-sectional study of observation patients managed over 25 consecutive months in a four-hospital academic health system. Patients were identified using the "admit to observation" order and limited to adult, emergent / urgent, non-obstetric patients. Data was retrieved from a cost accounting database. The primary study exposure was the setting for observation care which was broken into three discrete groups: EDOUs (n = 3), hospital medicine observation units (HMSOU, n = 2), and a non-observation unit (NOU) bed located anywhere in the hospital. Outcomes included observation-to-inpatient admission rate, length of stay (LoS), total direct cost, and inpatient bed days saved. Unadjusted outcomes were compared, and outcomes were adjusted using multiple study variables. LoS and cost were compared using quantile regressions. Inpatient admit rate was compared using logistic regressions., Results: The sample consisted of 48,145 patients who were 57.4% female, 48% Black, 46% White, median age of 58, with some variation in most common diagnoses and payer groups. The median unadjusted outcomes favored EDOU over NOU settings for admission rate (13.1% vs 37.1%), LoS [17.9 vs 35.6 h), and cost ($1279 vs $2022). The adjusted outcomes favored EDOU over NOU settings for admission rates [12.3% (95% CI 9.7-15.3) vs 26.4% (CI 21.3-32.3)], LoS differences [11.1 h (CI 10.6-11.5 h)] and cost differences [$127.5 (CI $105.4 - $149.5)]. Adjusted differences were similar and favored EDOU over HMSOU settings. For the health system, the total adjusted annualized savings of the EDOUs was 10,399 bed days and $1,329,443 in total direct cost per year., Conclusion: Within an academic medical center, EDOUs were associated with improved resource utilization and reduced cost. This represents a significant opportunity for hospitals to improve efficiency and contain costs., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objectives: Hospital observation is a key disposition option from the emergency department (ED) and encompasses up to one third of patients requiring post-ED care. Observation has been associated with higher incidence of catastrophic financial costs and has downstream effects on post-discharge clinical services. Yet little is known about the non-clinical determinants of observation assignment. We sought to evaluate the impact of patient-level demographic factors on observation designation among Maryland patients., Methods: We conducted a retrospective analysis of all ED encounters in Maryland between July 2012 and January 2017 for four priority diagnoses (heart failure, chronic obstructive pulmonary disease [COPD], pneumonia, and acute chest pain) using multilevel logistic models allowing for heterogeneity of the effects across hospitals. The primary exposure was self-reported race and ethnicity. The primary outcome was the initial status assignment from the ED: hospital observation versus inpatient admission., Results: Across 46 Maryland hospitals, 259,788 patient encounters resulted in a disposition of inpatient admission (65%) or observation designation (35%). Black (adjusted odds ratio [aOR]: 1.19; 95% confidence interval [CI]: 1.16-1.23) and Hispanic (aOR: 1.11; 95% CI: 1.01-1.21) patients were significantly more likely to be placed in observation than white, non-Hispanic patients. These differences were consistent across the majority of acute-care hospitals in Maryland (27/46)., Conclusion: Black and Hispanic patients in Maryland are more likely to be treated under the observation designation than white, non-Hispanic patients independent of clinical presentation. Race agnostic, time-based status assignments may be key in eliminating these disparities., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: No set guidelines to guide disposition decisions from the emergency department (ED) in patients with COVID-19 exist. Our goal was to determine characteristics that identify patients at high risk for adverse outcomes who may need admission to the hospital instead of an observation unit., Methods: We retrospectively enrolled 116 adult patients with COVID-19 admitted to an ED observation unit. We included patients with bilateral infiltrates on chest imaging, COVID-19 testing performed, and/or COVID-19 suspected as the primary diagnosis. The primary outcome was hospital admission. We assessed risk factors associated with this outcome using univariate and multivariable logistic regression., Results: Of 116 patients, 33 or 28% (95% confidence interval [CI] 20-37%) required admission from the observation unit. On multivariable logistic regression analysis, we found that hypoxia defined as room-air oxygen saturation < 95% (OR 3.11, CI 1.23-7.88) and bilateral infiltrates on chest radiography (OR 5.57, CI 1.66-18.96) were independently associated with hospital admission, after adjusting for age. Two three-factor composite predictor models, age > 48 years, bilateral infiltrates, hypoxia, and Hispanic race, bilateral infiltrates, hypoxia yield an OR for admission of 4.99 (CI 1.50-16.65) with an AUC of 0.59 (CI 0.51-0.67) and 6.78 (CI 2.11-21.85) with an AUC of 0.62 (CI 0.54-0.71), respectively., Conclusions: Over 1/4 of suspected COVID-19 patients admitted to an ED observation unit ultimately required admission to the hospital. Risk factors associated with admission include hypoxia, bilateral infiltrates on chest radiography, or the combination of these two factors plus either age > 48 years or Hispanic race., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: To describe the frequency, clinical characteristics and outcomes of patients with acute heart failure (AHF) transferred directly from emergency departments to home hospitalisation (HH) and to compare them with those hospitalised in internal medicine (IM) or short-stay units (SSU)., Method: We included patients with AHF transferred to HH by hospitals that considered this option during the Epidemiology of Acute Heart Failure in Spanish Emergency Departments (EAHFE) 4-5-6 Registries and compared them with patients admitted to IM or SSU in these centres. We compared the adjusted all-cause mortality at 1 year and adverse events 30 days after discharge., Results: The study included 1473 patients (HH/IM/SSU:68/979/384). The HH rate was 4.7% (95% CI 3.8-6.0%). The patients in HH had few differences compared with those hospitalised in IM and SSUs. The HH mortality was 1.5%, and the HH median stay was 7.5 days (IQR, 4.5-12), similar to that of IM (median stay, 8 days; IQR, 5-13; p = .106) and longer than that of SSU (median stay, 4 days; IQR, 3-7; p < .001). The all-cause mortality at 1 year for HH did not differ from that of IM (HR, 0.91; 95% CI 0.73-1.14) or SSU (HR, 0.77; 95% CI 0.46-1.27); however, the emergency department readmission rate during the 30 days postdischarge was lower than that of IM (HR, 0.50; 95% CI 0.25-0.97) and SSU (HR, 0.37; 95% CI 0.19-0.74). There were no differences in the need for new hospitalisations or in the 30-day mortality rate., Conclusions: Direct transfer from the emergency department to HH is infrequent despite being a safe option for a certain patient profile with AHF., (Copyright © 2020 Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI). All rights reserved.)

Objective: To determine whether neighborhood socioeconomic disadvantage, as determined by the Area Deprivation Index, increases 30-day hospital re-observation risk., Participants and Methods: This retrospective study of 20% Medicare fee-for-service beneficiary observation stays from January 1, 2014, to November 30, 2014, included 319,980 stays among 273,308 beneficiaries. We evaluated risk for a 30-day re-observation following an index observation stay for those living in the 15% most disadvantaged compared with the 85% least disadvantaged neighborhoods., Results: Overall, 4.5% (270,600 of 6,080,664) of beneficiaries had index observation stays, which varied by disadvantage (4.3% [232,568 of 5,398,311] in the least disadvantaged 85% compared with 5.6% [38,032 of 682,353] in the most disadvantaged 15%). Patients in the most disadvantaged neighborhoods had a higher 30-day re-observation rate (2857 of 41,975; 6.8%) compared with least disadvantaged neighborhoods (13,543 of 278,005; 4.9%); a 43% increased risk (unadjusted odds ratio [OR], 1.43; 95% CI, 1.31 to 1.55). After adjustment, this risk remained (adjusted OR, 1.13; 95% CI, 1.04 to 1.22). Discharge to a skilled nursing facility reduced 30-day re-observation risk (OR, 0.63; 95% CI, 0.57 to 0.69), whereas index observation length of stay of 4 or more days (3 midnights) conferred increased risk (OR, 1.29; 95% CI, 1.09 to 1.52); those living in disadvantaged neighborhoods were less likely to discharge to skilled nursing facilities and more likely to have long index stays. Beneficiaries with more than one 30-day re-observation (chronic re-observation) had progressively greater disadvantage by number of stays (adjusted incident rate ratio, 1.08; 95% CI, 1.02 to 1.14). Observation prevalence varied nationally., Conclusion: Thirty-day re-observation, especially chronic re-observation, is highly associated with socioeconomic neighborhood disadvantage, even after accounting for factors such as race, disability, and Medicaid eligibility. Beneficiaries least able to pay are potentially most vulnerable to costs from serial re-observations and challenges of Medicare observation policy, which may discourage patients from seeking necessary care., (Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Background and Objectives: Length of stay (LOS) is a common benchmarking measure for hospital resource use and quality. Observation status (OBS) is considered an outpatient service despite the use of the same facilities as inpatient status (IP) in most children's hospitals, and LOS calculations often exclude OBS stays. Variability in the use of OBS by hospitals may significantly impact calculated LOS. We sought to determine the impact of including OBS in calculating LOS across children's hospitals., Methods: Retrospective cohort study of hospitalized children (age <19 years) in 2017 from the Pediatric Health Information System (Children's Hospital Association, Lenexa, KS). Normal newborns, transfers, deaths, and hospitals not reporting LOS in hours were excluded. Risk-adjusted geometric mean length of stay (RA-LOS) for IP-only and IP plus OBS was calculated and each hospital was ranked by quintile., Results: In 2017, 45 hospitals and 625 032 hospitalizations met inclusion criteria (IP = 410 731 [65.7%], OBS = 214 301 [34.3%]). Across hospitals, OBS represented 0.0% to 60.3% of total discharges. The RA-LOS (SD) in hours for IP and IP plus OBS was 75.2 (2.6) and 54.3 (2.7), respectively ( P < .001). For hospitals reporting OBS, the addition of OBS to IP RA-LOS calculations resulted in a decrease in RA-LOS compared with IP encounters alone. Three-fourths of hospitals changed ≥1 quintile in LOS ranking with the inclusion of OBS., Conclusions: Children's hospitals exhibit significant variability in the assignment of OBS to hospitalized patients and inclusion of OBS significantly impacts RA-LOS calculations. Careful consideration should be given to the inclusion of OBS when determining RA-LOS for benchmarking, quality and resource use measurements., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2020 by the American Academy of Pediatrics.)

Background: In several states, payers penalize hospitals when an inpatient readmission follows an inpatient stay. Observation stays are typically excluded from readmission calculations. Previous studies suggest inconsistent use of observation designations across hospitals. We sought to describe variation in observation stays and examine the impact of inclusion of observation stays on readmission metrics., Methods: We conducted a retrospective cohort study of hospitalizations at 50 hospitals contributing to the Pediatric Health Information System database from January 1, 2018, to December 31, 2018. We examined prevalence of observation use across hospitals and described changes to inpatient readmission rates with higher observation use. We described 30-day inpatient-only readmission rates and ranked hospitals against peer institutions. Finally, we included observation encounters into the calculation of readmission rates and evaluated hospitals' change in readmission ranking., Results: Most hospitals ( n = 44; 88%) used observation status, with high variation in use across hospitals (0%-53%). Readmission rate after index inpatient stay (6.8%) was higher than readmission after an index observation stay (4.4%), and higher observation use by hospital was associated with higher inpatient-only readmission rates. When compared with peers, hospital readmission rank changed with observation inclusion (60% moving at least 1 quintile)., Conclusions: The use of observation status is variable among children's hospitals. Hospitals that more liberally apply observation status perform worse on the current inpatient-to-inpatient readmission metric, and inclusion of observation stays in the calculation of readmission rates significantly affected hospital performance compared with peer institutions. Consideration should be given to include all admission types for readmission rate calculation., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2020 by the American Academy of Pediatrics.)

We investigate the capability of information from electronic health records of an emergency department (ED) to predict patient disposition decisions for reducing "boarding" delays through the proactive initiation of admission processes (e.g., inpatient bed requests, transport, etc.). We model the process of ED disposition decision prediction as a hierarchical multiclass classification while dealing with the progressive accrual of clinical information throughout the ED caregiving process. Multinomial logistic regression as well as machine learning models are built for carrying out the predictions. Utilizing results from just the first set of ED laboratory tests along with other prior information gathered for each patient (2.5 h ahead of the actual disposition decision on average), our model predicts disposition decisions with positive predictive values of 55.4%, 45.1%, 56.9%, and 47.5%, while controlling false positive rates (1.4%, 1.0%, 4.3%, and 1.4%), with AUC values of 0.97, 0.95, 0.89, and 0.84 for the four admission (minor) classes, i.e., intensive care unit (3.6% of the testing samples), telemetry unit (2.2%), general practice unit (11.9%), and observation unit (6.6%) classes, respectively. Moreover, patients destined to intensive care unit present a more drastic increment in prediction quality at triage than others. Disposition decision classification models can provide more actionable information than a binary admission vs. discharge prediction model for the proactive initiation of admission processes for ED patients. Observing the distinct trajectories of information accrual and prediction quality evolvement for ED patients destined to different types of units, proactive coordination strategies should be tailored accordingly for each destination unit.

Introduction: A host of variables beyond the control of the ED physician affect ED throughput. In-process time represents the period most directly affected by physician decision-making patterns. This study attempts to evaluate implications of variable decision-making for those patients placed in observation status for throughput and financial implications., Methods: A retrospective review of all ED admissions to observation status over an 8-month period, for observation decision times (ODT) was performed. The average cost per patient bed hour in the ED, opportunity cost from patients not being seen during excessive ODTs, and the cost of an unfilled bed in an observation unit were estimated., Results: Of 2693 observation cases reviewed, 114 (4.2%) had ODTs longer than two standard deviations above the median. These accumulated ODTs lead to an additional cost of $12,307, or $107 per admission. An additional 45 patients could have been treated during these excess ODTs, from which result an opportunity loss ranging from $32 to $1350 per hour. There is an additional cost of $8036 to maintain empty observation beds in the hospital., Conclusion: For those ODTs beyond two standard deviations above the median, there is a direct unreimbursed cost to the hospital, an opportunity cost for patients not seen in those occupied ED beds, and a cost of maintaining unfilled observation beds. Variability in the efficiency of decision-making suggests real consequences in terms of throughput and cost-to-treat., Competing Interests: Declaration of competing interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Introduction: Observation units (OU) are being increasingly used within the Emergency Department (ED) to optimize care and reduce costs, but their use for management of overdose patients is unclear. The present study examined demographics, disposition and outcomes for ED overdose patients managed in an OU. Methods: This was a secondary analysis of a prospective consecutive cohort of adult overdose patients managed in an OU in a single ED from March 2015 to September 2018. The primary composite study outcome was occurrence of any advanced airway intervention, adverse cardiovascular events (ACVE), or mortality. Secondary outcomes were disposition and return visits. Results: Of 946 patients screened, 648 were included in the cohort. Of 132 patients requiring additional medical management after the ED visit, 25 (18.9%) were managed in the OU; 88% of OU patients were discharged home, no patients required airway management, one patient experienced an ACVE requiring admission, and there were no deaths. Three OU patients (12%) had 30-day return visits. Conclusion: In this study, almost one-fifth of patients requiring additional medical management after the ED visit qualified for a low-risk drug overdose OU pathway. Overdoses from a variety of substances were safely managed with acceptably low adverse event rates.

Background: Most patients present with seizures to pediatric emergency department (PED) are observed for extended periods for the risk of possible acute recurrence., Objective: The aim of this study is to determine the risk factors of acute recurrence within first 24 h., Methods: Patients who presented to PED with seizure during past 24 h were enrolled. Demographic features, number and duration of seizures, diagnostic studies, physical examination findings, presence and time of seizure recurrence in PED were noted., Results: 187 patients were eligible for the study. 46% had recurrence of seizures in 24 h, 90,8% of recurrence within the first 6 h. Univariate analysis showed that younger patients, epileptic patients who were on multiple antiepileptic drugs (AEDs), who had multiple seizures during the past 24 h, who had abnormal neurological examination or neuroimaging findings had increased risk of seizure recurrence. Multivariate analysis showed that number of seizures during the past 24 h and previous use of AEDs was significantly associated with increased risk of recurrence., Conclusion: Risk factors for acute recurrence should be evaluated for each patient. Patients without risk factors and no seizures during the first 6 h should not be observed for extended periods in PED., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objective: Emergency Department Observation Units (Obs Units) provide a setting and a mechanism for further care of Emergency Department (ED) patients. Our hospital has a protocol-driven, type 1, complex 20 bed Obs Unit with 36 different protocols. We wanted to understand how the different protocols performed and what types of care were provided., Methods: This was an IRB-approved, retrospective chart review study. A random 10% of ED patient charts with a "transfer to observation" order were selected monthly from October 2015 through June 2017. This database was designed to identify high and low functioning protocols based on length of stays (LOS) and admission rates., Results: Over 20 months, a total of 984 patients qualified for the study. The average age was 49.5 ± 17.2 years, 57.3% were women, and 32.3% were non-Caucasian. The admission rate was 23.5% with an average LOS in observation of 13.7 h [95% CI 13.3-14.1]. Thirty day return rate was 16.8% with 5.3% of the patients returning to the ED within the first 72 h. Thirty six different protocols were used, with the most common being chest pain (13.9%) and general (13.2%). Almost 70% received a consultation from another service, and 7.2% required a procedure while in observation. Procedures included fluoroscopic-guided lumbar punctures, endoscopies, dental extractions, and catheter replacements (nephrostomy, gastrostomy, and biliary tubes)., Conclusions: An Obs Unit can care for a wide variety of patients who require multiple consultations, procedures, and care coordination while maintaining an acceptable length of stay and admission rate., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: Emergency Department (ED) Observation Units (Obs Units) are prevalent in the US, but little is known regarding older adults in observation. Our objective was to describe the Obs Units nationally and observation patients with specific attention to differences in care with increasing age., Design: This is an analysis of 2010-2013 data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), a national observational cohort study including ED patients. Weighted means are presented for continuous data and weighted percent for categorical data. Multivariable logistic regression was used to identify variables associated with placement in and admission from observation., Results: The number of adult ED visits varied from 100 million to 107 million per year and 2.3% of patients were placed in observation. Adults ≥65 years old made up a disproportionate number of Obs Unit patients, 30.6%, compared to only 19.7% of total ED visits (odds ratio 1.5 (95% CI 1.5-1.6), adjusting for sex, race, month, day of week, payer source, and hospital region). The overall admission rate from observation was 35.6%, ranging from 31.3% for ages 18-64 years to 47.5% for adults ≥85 years old (p < 0.001). General symptoms (e.g., nausea, dizziness) and hypertensive disease were the most common diagnoses overall. Older adults varied from younger adults in that they were frequently observed for diseases of the urinary system (ICD-9 590-599) and metabolic disorders (ICD-9 270-279)., Conclusions: Older adults are more likely to be cared for in Obs Units. Older adults are treated for different medical conditions than younger adults., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Study Objective: We describe the association of implementing a History, ECG, Age, Risk Factors, and Troponin (HEART) care pathway on use of hospital care and noninvasive stress testing, as well as 30-day patient outcomes in community emergency departments (EDs)., Methods: We performed a prospective interrupted-time-series study of adult encounters for patients evaluated for suspected acute coronary syndrome. The primary outcome was hospitalization or observation, noninvasive stress testing, or both within 30 days. The secondary outcome was 30-day all-cause mortality or acute myocardial infarction. A generalized estimating equation segmented logistic regression model was used to compare the odds of the primary outcome before and after HEART implementation. All models were adjusted for patient and facility characteristics and fit with physicians as a clustering variable., Results: A total of 65,393 ED encounters (before, 30,522; after, 34,871) were included in the study. Overall, 33.5% (before, 35.5%; after, 31.8%) of ED chest pain encounters resulted in hospitalization or observation, noninvasive stress testing, or both. Primary adjusted results found a significant decrease in the primary outcome postimplementation (odds ratio 0.984; 95% confidence interval [CI] 0.974 to 0.995). This resulted in an absolute adjusted month-to-month decrease of 4.39% (95% CI 3.72% to 5.07%) after 12 months' follow-up, with a continued trend downward. There was no difference in 30-day mortality or myocardial infarction (0.6% [before] versus 0.6% [after]; odds ratio 1.02; 95% CI 0.97 to 1.08)., Conclusion: Implementation of a HEART pathway in the ED evaluation of patients with chest pain resulted in less inpatient care and noninvasive cardiac testing and was safe. Using HEART to risk stratify chest pain patients can improve the efficiency and quality of care., (Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Introduction: In an age of increasing scrutiny of each hospital admission, emergency department (ED) observation has been identified as a low-cost alternative. Prior studies have shown admission rates for syncope in the United States to be as high as 70%. However, the safety and utility of substituting ED observation unit (EDOU) syncope management has not been well studied. The objective of this study was to evaluate the safety of EDOU for the management of patients presenting to the ED with syncope and its efficacy in reducing hospital admissions., Methods: This was a prospective before-and-after cohort study of consecutive patients presenting with syncope who were seen in an urban ED and were either admitted to the hospital, discharged, or placed in the EDOU. We first performed an observation study of syncope management and then implemented an ED observation-based management pathway. We identified critical interventions and 30-day outcomes. We compared proportions of admissions and adverse events rates with a chi-squared or Fisher's exact test., Results: In the "before" phase, 570 patients were enrolled, with 334 (59%) admitted and 27 (5%) placed in the EDOU; 3% of patients discharged from the ED had critical interventions within 30 days and 10% returned. After the management pathway was introduced, 489 patients were enrolled; 34% (p<0.001) of pathway patients were admitted while 20% were placed in the EDOU; 3% (p=0.99) of discharged patients had critical interventions at 30 days and 3% returned (p=0.001)., Conclusion: A focused syncope management pathway effectively reduces hospital admissions and adverse events following discharge and returns to the ED., Competing Interests: Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. No author has professional or financial relationships with any companies that are relevant to this study. There are no conflicts of interest or sources of funding to declare.

Objectives: To describe the evolution of a hospital at home (HaH) program to a HaH with a 30-day posthospitalization transition period (HaH-Plus) and results of a retrospective review of cases., Design: After launching HaH-Plus, we used the same interdisciplinary clinical team to provide acute home-based care for a broader range of home-based acute-level services than originally conceived in the Hospital at Home model. These included a palliative care unit at home (PCUaH), an observation unit at home (OUaH), a post-acute care rehabilitation at home (RaH), and a program for the hospital averse - those patients needing to be in the hospital but who refuse., Setting: Urban health system., Participants: Individuals 18 years or older residing in specified catchment area with Medicare fee-for-service or accepted Medicare/Medicaid Advantage plans requiring facility-based care., Intervention: Provision of facility-based acute-level care at home to 685 participants., Measurements: Length of stay, readmission, and mortality., Results: HaH-Plus cared for 685 individuals. The PCUaH had the oldest participants (mean age 87), and all groups were predominantly female and dually eligible for Medicare and Medicaid. Diagnoses and length of stay were similar in all groups except that those in RaH had a larger group of diagnoses, than those accepted in to HaH-Plus and those in OUaH had a shorter stay. Rate of readmission was highest for RaH (19%). Mortality during the active treatment episode was highest for PCUaH and hospital averse as compared to HaH-Plus, OUaH and RaH., Conclusion: Providing a broader range of facility-based care in the home has significant advantages for patients and increases the scalability of HaH. Developing a spectrum of services was possible by leveraging a robust, 24-hour HaH team. Community- and home-based care could become a greater part of the U.S. healthcare system if a platform of HaH services along with advances in technology and payment models were developed. J Am Geriatr Soc 67:596-602, 2019., (© 2018 The American Geriatrics Society.)

Background: Although some emergency department observation units (EDOUs) may exclude patients over 65 years old, our EDOU accepts patients up to 79 years old. We assessed the utilization of our EDOU by older patients (those 65-79 years old)., Methods: We prospectively enrolled emergency department (ED) patients with chest pain. We gathered baseline data at the time of ED presentation and tracked outcomes related to the ED stay, EDOU, and/or inpatient admission. Our primary outcome included EDOU placement among older patients. Our secondary outcome was the rate of major adverse cardiac events [MACE: myocardial infarction, stent, coronary artery bypass graft, and death]., Results: Over the 5-year study period, we evaluated 2242 ED patients with chest pain, of whom 19.4% (95% confidence interval, 17.8%-21.1%) were 65-79 years old. Older patients were more likely to be placed in the EDOU after the ED visit (45.8% vs. 36.6%; P = 0.001) and more likely to be admitted to an inpatient unit from the ED (31.8% vs. 17.9%;P < 0.001) than those under 65 years old. The overall MACE rate was similar between admitted older patients and those in the EDOU: 5.9% versus 4.3% (P = 0.57). Of the admitted older patients, 30.4% (95% confidence interval, 22.3%-39.9%) were low risk and there were no cases of MACE in this group., Conclusions: In an EDOU that allows older patients, we noted substantial utilization by these patients for the evaluation of chest pain. The characteristics of admitted older patients suggest the potential for even greater EDOU utilization in this group.

Background: Skin and soft tissue infections (SSTIs) are a common reason for presentation to the emergency department (ED) and account for 3% of ED visits. Patients with a diagnosis of cellulitis requiring intravenous (IV) antibiotics have traditionally been admitted to the hospital. In our institution, these patients are placed in the ED Observation Unit (EDOU) for IV antibiotics., Objectives: The purpose of this study is to determine if 3 doses of IV antibiotics are adequate to document clinical improvement in children with uncomplicated SSTI., Methods: A prospective cohort study of children aged 3 months to 18 years with uncomplicated SSTI admitted (2009-2013) to the EDOU at a children's hospital for IV antibiotics was conducted., Results: One hundred six patients (mean age, 68 months) were enrolled; 57% were boys, 53% of patients had cellulitis only and 47% had cellulitis with drained abscesses. There was a significant decrease in pain scores and size of cellulitis from arrival to discharge (P < 0.001 and P < 0.001, respectively). Eighty-three percent of patients were discharged after 3 to 4 doses of antibiotics, and 17% were admitted. The location of the wound, presence of systemic symptoms, and prior use of oral antibiotics did not predict admission in our study., Conclusions: The EDOU is a reasonable alternative to inpatient admission in the management of patients with uncomplicated SSTI requiring IV antibiotics.

Objectives: Hospital length of stay (days) and revenues per day (euros) could be different depending on admission mode. To determine the impact of admission mode as a function of clinical pathway, we conducted the present study. Data sources: We included 159,206 admissions to three academic hospitals during a four-year period. Data were obtained from the electronic system of the hospital trust., Study Design: A case (through-emergency department)-control (elective (EA)) study was conducted (77,052), matched by age, stay severity and type, disease-related group, and discharge mode. Principal findings: Through-emergency department were significantly elderly, more severe, had more intensive care stays, a higher mortality rate, longer length of stay (days) (9.5 ± 12 vs. 6.8 ± 9.5; p < 0.0001), and lower revenues per day (647 ± 451 vs. 721 ± 422; p = 0.01). In case-control study, mean differences between cases and controls were: longer length of stay -0.64 and revenues per day -75.6; for ≥75 years -1.2 and -102.1; medical -0.9 and -90.4; and discharge to facilities care centers -1.5 and -81.8. Among cases, 40% had a stay in observation unit before being admitted in hospital ward. Differences were strongly reduced for patients who did not go to observation unit before being admitted. Differences were reduced from 0.64 to 0.2 days for length of stay and from 79 to 41 euros for revenues per day when patients did not stay in observation unit before being admitted., Conclusions: We conclude that admission mode is associated with length of stay and revenues. However, as differences are weak, elective admissions should not be prioritized on economic arguments. Otherwise, our study indicates that among through-emergency department admissions, observation unit stay is associated with longer length of stay and lower revenues.

Background: The first clinical re-assessment after admission to hospital probably provides the best opportunity to detect clinical deterioration or failure to improve, and decide if care should be intensified., Aim: Compare changes the day after admission in the patient's subjective feelings and objective findings that included age, gender, the National Early Warning Score (NEWS) on admission, gait stability and mid-upper arm circumference (MUAC) on admission, and changes in NEWS, gait stability and mental alertness., Setting: Acutely ill medical patients admitted to a low-resource sub-Saharan hospital., Methods: Prospective observational study., Results: 1810 patients were reassessed 18 h after hospital admission. Logistic regression identified NEWS and gait stability on admission, a subjective feeling of improvement, the change in NEWS, and MUAC as clinically significant predictors of in-hospital mortality. Stratifying patients according to their NEWS on admission altered the predictive value of the four other predictors: for patients with an admission NEWS < 3 a subjective feeling of improvement is the most powerful predictor of a good outcome. For patients with an admission NEWS > = 3 the change in NEWS, gait stability on admission and MUAC provide additional prognostic information., Conclusion: NEWS and gait stability on admission, MUAC, a subjective feeling of improvement, and change in NEWS the day after admission are all clinically significant predictors of in-hospital mortality., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Importance: The downward trend in readmissions has recently slowed. New enhancements to hospital readmission reduction efforts are needed. Structured assessment of patient readiness for discharge has been recommended as an addition to discharge preparation standards of care to assist with tailoring of risk-mitigating actions., Objective: To determine the effect of unit-based implementation of readiness evaluation and discharge intervention protocols on readmissions and emergency department or observation visits., Design, Setting, and Participants: The Readiness Evaluation and Discharge Interventions (READI) cluster randomized clinical trial conducted in medical-surgical units of 33 Magnet hospitals between September 15, 2014, and March 31, 2017, included all adult (aged ≥18 years) patients discharged to home. Baseline and risk-adjusted intent-to-treat analyses used difference-in-differences multilevel logistic regression models with controls for patient characteristics., Interventions: Of 2 adult medical-surgical nursing units from each hospital, 1 was randomized to the intervention and 1 to usual care conditions. Using the 8-item Readiness for Hospital Discharge Scale, the 33 intervention units implemented a sequence of protocols with increasing numbers of components: READI1, in which nurses assessed patients to inform discharge preparation; READI2, which added patient self-assessment; and READI3, which added an instruction to act on a specified Readiness for Hospital Discharge Scale cutoff score indicative of low readiness., Main Outcomes and Measures: Thirty-day return to hospital (readmission or emergency department and observation visits). Intervention units above median baseline readmission rate (>11.3%) were categorized as high-readmission units. Among the 33 intervention units, 17 were low-readmission units and 16 were high-readmission units., Results: The sample included 144 868 patient discharges (mean [SD] age, 59.6 [17.5] years; 51% female; 74 605 in the intervention group and 70 263 in the control group); 17 667 (12.2%) were readmitted and 12 732 (8.8%) had an emergency department visit or observation stay. None of the READI protocols reduced the primary outcome of return to hospital in intent-to-treat analysis of the full sample. In exploratory subgroup analysis, when patient self-assessments were combined with readiness assessment by nurses (READI2), readmissions were reduced by 1.79 percentage points (95% CI, -3.20 to -0.40 percentage points; P = .009) on high-readmission units. With nurse assessment alone and on low-readmission units, results were mixed., Conclusions and Relevance: Implemented in a broad range of hospitals and patients, the READI interventions were not effective in reducing return to hospital. However, adding a structured discharge readiness assessment that incorporates the patient's own perspective to usual discharge care practices holds promise for mitigating high rates of return to the hospital following discharge., Trial Registration: ClinicalTrials.gov Identifier: NCT01873118.

Background: In 2014, the state of Maryland (MD) moved away from fee-for-service payments and into a global budget revenue (GBR) structure where hospitals have a fixed revenue target, independent of patient volume or services provided. We assess the effects of GBR adoption on emergency department (ED) admission decisions among adult encounters., Methods: We used hospital medical record and billing data from adult ED encounters from January 1, 2011, through December 31, 2015, with four MD hospitals and two District of Columbia (DC) hospitals within the same health system. We performed difference-in-differences analysis and calculated the effects of the GBR model on ED admission rates (inpatient and observation) using hospital fixed-effect regression adjusted for patient, hospital, and community factors. We also examined changes in the distribution of acuity among ED admissions with GBR adoption., Results: The study sample included 1,492,953 ED encounters with a mean ED admission rate of 20.5%. The ED admission rate difference pre- and post-GBR was -1.14% (95% confidence interval [CI] = -0.89 to -1.40) for MD hospitals and -0.04% (95% CI = -0.24 to 0.32) for DC hospitals with a difference-in-differences result of -1.10% (95% CI = -1.34 to -0.86). This change was attributable to a -3.3% (95% CI = -3.54 to -3.08) decline in inpatient admissions and 2.7% (95% CI = 2.53 to 2.79) increase in observation admissions. Declines in admissions were observed primarily among mild-to-moderate severity of illness encounters with a low risk of mortality., Conclusions: Within the same health system, implementation of global budgeting in MD hospitals was associated with a decline in ED admissions-particularly lower-acuity admissions-compared to DC hospitals that remained under fee-for-service payments., (© 2018 by the Society for Academic Emergency Medicine.)

Background: Dyspepsia is a common complaint that can confer significant burden on one's quality of life and may also be associated with serious underlying conditions. The objective of this study was to determine if patients admitted to the emergency department observation unit (EDOU) for severe or persistent dyspepsia would have cost effective management in terms of investigations performed, length and cost of hospital stay. The secondary objective was to determine if any patient characteristics could predict a need for admission to the inpatient unit., Methods: Retrospective chart reviews of patients admitted to the EDOU under the Dyspepsia protocol between January 2008 and August 2014 were conducted. Baseline demographics, investigations performed, outcomes related to EDOU stay, admission and 30-day re-presentation outcomes were recorded., Results: A total of 1304 patients were included. Median length of stay was 1day. Cumulative bed-saved days were 38 per month. Two hundred eighteen (16.7%) patients required admission to the inpatient service for further management, while 533 (40.9%) and 313 (24.0%) patients underwent esophagogastroduodenoscopy and hepatobiliary ultrasonography, respectively. No major adverse events were attributed to the EDOU admissions or delays in treatment. No significant clinically relevant factors were associated with a need for admission from the EDOU to the inpatient unit. Median cost of the EDOU admission was approximately one-third that of a similar admission to the inpatient unit., Conclusion: The EDOU is an appropriate setting to facilitate investigations and treatment of patients with dyspepsia with considerable bed-saved days., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: This study aimed to develop a triage tool to more effectively triage possible ACS patients presenting to the emergency department (ED) before admission to a protocol-driven chest pain unit (CPU)., Methods: Seven hundred ninety-three clinical cases, randomly selected from 7962 possible ACS cases, were used to develop and test an ACS triage model using cluster analysis and stepwise logistic regression., Results: The ACS triage model, logit (suspected ACS patient)=-5.283+1.894×chest pain+1.612×age+1.222×male+0.958×proximal radiation pain+0.962×shock+0.519×acute heart failure, with a threshold value set at 2.5, was developed to triage patients. Compared to four existing methods, the chest-pain strategy, the Zarich's strategy, the flowchart, and the heart broken index (HBI), the ACS triage model had better performance., Conclusion: This study developed an ACS triage model for triaging possible ACS patients. The model could be used as a rapid tool in EDs to reduce the workloads of ED nurses and physicians in relation to admissions to the CPU., (Copyright © 2017 Elsevier Inc. All rights reserved.)