Dataset Information

Hospital and Community Characteristics Associated With Pediatric Direct Admission to Hospital.

ABSTRACT: OBJECTIVES:One quarter of pediatric hospitalizations begin as direct admissions, defined as hospitalization without receiving care in the hospital's emergency department (ED). Direct admission rates are highly variable across hospitals, yet previous studies have not examined reasons for this variation. We aimed to determine the relationships between hospital and community factors and pediatric direct admission rates, and to evaluate the degree to which these characteristics explain variation in risk-adjusted direct admission rates. METHODS:We conducted a cross-sectional study of the Healthcare Cost and Utilization Project's Kids Inpatient Database, American Hospital Association Database, and Area Health Resource File, including children <18 years of age who were admitted for a medical hospitalization in states contributing data to all data sets. Using hierarchical generalized linear modeling, we generated risk-adjusted direct admission rates and used generalized linear models to assess the association of hospital and community characteristics with these risk-adjusted rates. RESULTS:We included 211,458 children discharged from 933 hospitals and 26 states; 20.2% were admitted directly. One-fifth of the variance in risk-adjusted direct admission rates was attributed to observed hospital and community factors. The greatest proportion of this explained variance was related to ED volume (37%), volume of pediatric hospitalizations (27%), and size of the pediatrician workforce (12%). CONCLUSIONS:Direct admission rates were associated with several hospital and community characteristics, but the majority of variation in hospitals' direct admission rates was not explained by these factors. These findings suggest opportunities for diverse hospital types to develop the infrastructure and communication systems necessary to support pediatric direct admissions.

SUBMITTER: Leyenaar JK

PROVIDER: S-EPMC5924569 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Hospital and Community Characteristics Associated With Pediatric Direct Admission to Hospital.

Leyenaar JoAnna K JK Shieh Meng-Shiou MS Lagu Tara T Pekow Penelope S PS Lindenauer Peter K PK

Academic pediatrics 20171027 5

<h4>Objectives</h4>One quarter of pediatric hospitalizations begin as direct admissions, defined as hospitalization without receiving care in the hospital's emergency department (ED). Direct admission rates are highly variable across hospitals, yet previous studies have not examined reasons for this variation. We aimed to determine the relationships between hospital and community factors and pediatric direct admission rates, and to evaluate the degree to which these characteristics explain varia ...[more]

PMID: 29111274

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Project description:ImportanceAlthough the majority of children with an unplanned admission to the hospital are admitted through the emergency department (ED), direct admissions constitute a significant proportion of hospital admissions nationally. Despite this, past studies of children have not characterized direct admission practices or outcomes. Pneumonia is the leading cause of pediatric hospitalization in the United States, providing an ideal lens to examine variation and outcomes associated with direct admissions.ObjectivesTo describe rates and patterns of direct admission in a large sample of US hospitals and to compare resource utilization and outcomes between children with pneumonia admitted directly to a hospital and those admitted from an ED.Design, setting, and participantsRetrospective cohort study of children 1 to 17 years of age with pneumonia who were admitted to hospitals contributing data to Perspective Data Warehouse. We developed hierarchical generalized linear models to examine associations between admission type and outcomes.Main outcomes and measuresOutcome measures included (1) length of stay, (2) high turnover hospitalization, (3) total hospital cost, (4) transfer to the intensive care unit, and (5) readmission within 30 days of hospital discharge.ResultsA total of 19,736 children from 278 hospitals met eligibility criteria, including 7100 (36.0%) who were admitted directly and 12,636 (64.0%) through the ED. Rates of direct admission varied considerably across hospitals, with a median direct admission rate of 33.3% (interquartile range, 11.1%-50.0%). Children admitted directly were more likely to be white, to have private health insurance, and to be admitted to small, general community hospitals. In adjusted models, children admitted directly had a 9% higher length of stay (risk ratio, 1.09 [95% CI, 1.07-1.11]), 39% lower odds of high turnover hospitalization (odds ratio [OR], 0.61 [95% CI, 0.56-0.66]), and 12% lower cost (risk ratio, 0.88 [95% CI, 0.87-0.90]) than those admitted through the ED, with no significant differences in transfers to the intensive care unit (OR, 1.29 [95% CI, 0.83-2.00]) or 30-day readmissions (OR, 0.80 [95% CI, 0.57-1.13]).Conclusions and relevanceIncreasing rates of direct admission among children with access to outpatient care might be an effective strategy to reduce hospital costs and the volume of patients in the ED. Additional research is needed to establish direct admission policies and procedures that are safe and cost-effective.

Project description:Background & aimsDaily step count measures cardiorespiratory fitness and has been associated with clinical outcomes. However, its utility in patients with cirrhosis remains largely unexplored. We aimed to investigate the association between step count, frailty metrics, and clinical outcomes in cirrhosis.MethodsAll participants underwent frailty evaluation with the liver frailty index, 6-minute walk test, and gait speed test. To monitor step count, participants were given a personal activity tracker (PAT). A subset also was invited to use Exercise and Liver FITness (EL-FIT). Daily step counts from the first week of PAT use and frailty metrics were investigated as predictors of hospital admission and mortality.ResultsThere were 116 patients included (age, 56 ± 11 y; male, 55%; body mass index, 31 ± 7; model for end-stage liver disease-sodium, 15 ± 7). The main etiologies of cirrhosis were alcohol-related (33%) and nonalcoholic steatohepatitis (30%). Monitoring for the week was accomplished in 80% of participants given both PAT+EL-FIT vs 62% in those with PAT only (P = .04). During follow-up evaluation, hospital admission was observed in 55% and death in 15%. Kaplan-Meir curves showed increased readmission and deaths among patients performing in the lowest quartile (ie, <1200 steps/d). When adjusted by model for end-stage liver disease-sodium and EL-FIT use, the lowest quartile was associated with hospital admission and death (hazard ratio, HR [95% confidence interval], 1.90 [1.09-3.30] and 3.46 [1.23-9.68], respectively), along with the 6-minute walk test (HR, 0.63 [0.47-0.83] and 0.66 [0.44-0.99] per 100 m, respectively) and gait speed test (HR, 0.29 [0.11-0.72] and 0.21 [0.05-0.84], respectively).ConclusionsDaily step count predicted hospital admission and mortality rates in patients with cirrhosis, similar to the current standard frailty metrics. Incorporation of a physical training-dedicated smartphone application was associated with increased PAT use and step reporting.

Project description:BackgroundSubsequent epidemic waves have already emerged in many countries and in the absence of highly effective preventive and curative options, the role of patient characteristics on the development of outcomes needs to be thoroughly examined, especially in middle-east countries where such epidemiological studies are lacking. There is a huge pressure on the hospital services and in particular, on the Intensive Care Units (ICU). Describing the need for critical care as well as the chance of being discharged from hospital according to patient characteristics, is essential for a more efficient hospital management. The objective of this study is to describe the probabilities of admission to the ICU and the probabilities of hospital discharge among positive COVID-19 patients according to demographics and comorbidities recorded at hospital admission.MethodsA prospective cohort study of all patients with COVID-19 found in the Electronic Medical Records of Jaber Al-Ahmad Al-Sabah Hospital in Kuwait was conducted. The study included 3995 individuals (symptomatic and asymptomatic) of all ages who tested positive from February 24th to May 27th, 2020, out of which 315 were treated in the ICU and 3619 were discharged including those who were transferred to a different healthcare unit without having previously entered the ICU. A competing risk analysis considering two events, namely, ICU admission and hospital discharge using flexible hazard models was performed to describe the association between event-specific probabilities and patient characteristics.ResultsResults showed that being male, increasing age and comorbidities such as chronic kidney disease (CKD), asthma or chronic obstructive pulmonary disease and weakened immune system increased the risk of ICU admission within 10 days of entering the hospital. CKD and weakened immune system decreased the probabilities of discharge in both females and males however, the age-related pattern differed by gender. Diabetes, which was the most prevalent comorbid condition, had only a moderate impact on both probabilities (18% overall) in contrast to CKD which had the largest effect, but presented only in 7% of those admitted to ICU and in 1% of those who got discharged. For instance, within 5 days a 50-year-old male had 19% (95% C.I.: [15,23]) probability of entering the ICU if he had none of these comorbidities, yet this risk jumped to 31% (95% C.I.: [20,46]) if he had also CKD, and to 27% in the presence of asthma/COPD (95% C.I.: [19,36]) or of weakened immune system (95% C.I.: [16,42]).ConclusionsThis study provides useful insight in describing the probabilities of ICU admission and hospital discharge according to age, gender, and comorbidities among confirmed COVID-19 cases in Kuwait. A web-tool is also provided to allow the user to estimate these probabilities for any combination of these covariates. These probabilities enable deeper understanding of the hospital demand according to patient characteristics which is essential to hospital management and useful for developing a vaccination strategy.

Dataset Information

Hospital and Community Characteristics Associated With Pediatric Direct Admission to Hospital.

Publications

Hospital and Community Characteristics Associated With Pediatric Direct Admission to Hospital.

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