scholarly journals An Analysis of Hospital Costs for Childhood Cancer Care

2021 ◽  
Author(s):  
Owen Tan ◽  
Deborah J. Schofield ◽  
Rupendra Shrestha
Keyword(s):  
Emergency Department ◽  
Hospital Admission ◽  
Childhood Cancer ◽  
Hospital Admissions ◽  
Hospital Costs ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
First Year ◽  
Individual Patient Level ◽  
Payer Perspective

Background: This study used a linked dataset consisting of all childhood cancers recorded over the course of 10 years in New South Wales (NSW), Australia, to evaluate the hospital and emergency department costs (from a payer perspective) and resources used by patients with childhood cancer. We also analyzed determinants responsible for high-frequency hospital admissions, hospital length of stay (LoS), and hospital costs. Methods: We analyzed linked data at the individual patient level for a retrospective cohort of 2,966 patients with cancer aged <18 years with a diagnosis date between 2001 and 2012 from the NSW Central Cancer Registry, Australia. We reported costs and use of hospitalization and emergency department presentation 1 year before the date of diagnosis, 1 year after diagnosis, and 2 to 5 years after diagnosis. We also examined the association between cancer types and hospital admission and hospital costs from the payer perspective. Patient characteristics associated with the frequency of hospital admissions, hospital LoS, and hospital costs were also determined using a generalized linear model. Results: Most hospital admission costs occurred in the first year after diagnosis, accounting for >70% of hospital costs within 5 years after diagnosis. The estimated median annual cost of hospitalization in the first year after diagnosis was A$88,964 (interquartile range [IQR], A$34,399–A$163,968) for patients diagnosed at age 0 to 14 years and A$23,384 (IQR, A$5,585–A$91,565) for those diagnosed at age 15 to 17 years. Higher frequency of hospital admissions, hospital LoS, and hospital costs were significantly associated with younger age at cancer diagnosis, cancer metastases, and living in remote/disadvantaged socioeconomic areas. Conclusions: Our study represents one of the first in Australia to include detailed hospitalization cost information for all childhood cancer cases. This study highlights the high hospital use by pediatric patients and the importance of early diagnosis. Our findings also demonstrate the health inequities experienced by patients from remote areas and the lowest socioeconomic areas.

scholarly journals Prevalence of Hospital Admissions for Low Back Pain: Protocol for a Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Harrison J Lord ◽  
Danielle Coombs ◽  
Christopher Maher ◽  
Gustavo C Machado
Keyword(s):  
Emergency Department ◽  
Low Back Pain ◽  
Back Pain ◽  
Length Of Stay ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Functional Decline ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Low Back

Low back pain is the leading cause of years lived with disability in most countries and creates a huge burden for healthcare systems globally. Around the globe, 4.4% of all emergency department attendances are attributed to low back pain, and subsequent admissions to hospital seem to be common. These hospitalisations can result in unnecessary medical care, functional decline and high costs. There are no systematic reviews summarising the global prevalence of hospital admission for low back pain, identifying the sources of admissions or estimating hospital length of stay. This information would be valuable for health and medical researchers, front-line clinicians, and health planners aiming to improve and increase the value of their health services. The objectives of this study are to estimate the prevalence of hospital admission for low back pain from different healthcare facilities across the globe, including the emergency department, as well as investigate hospital length of stay and explore sources of heterogeneity when categorising studies according to low back pain definitions, sources of admission, study period, study setting and country’s region and income level.

scholarly journals Limitation of life-sustaining treatment and patient involvement in decision-making: a retrospective study of a Danish COVID-19 patient cohort

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Hanne Irene Jensen ◽  
Sevim Ozden ◽  
Gitte Schultz Kristensen ◽  
Mihnaz Azizi ◽  
Siri Aas Smedemark ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Patient Involvement ◽  
Hospital Admissions ◽  
Primary Diagnosis ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Patient Cohort ◽  
Hospitalised Patients ◽  
Treatment Limitation ◽  
Life Sustaining Treatment

Abstract Background The coronavirus (COVID-19) pandemic and the risk of an extensive overload of the healthcare systems have elucidated the need to make decisions on the level of life-sustaining treatment for patients requiring hospitalisation. The purpose of the study was to investigate the proportion and characteristics of COVID-19 patients with limitation of life-sustaining treatment decisions and the degree of patient involvement in the decisions. Methods A retrospective observational descriptive study was conducted in three Danish regional hospitals, looking at all patients ≥ 18 years of age admitted in 2020 with COVID-19 as the primary diagnosis. Lists of hospitalised patients admitted due to COVID-19 were extracted. The data registration included age, gender, comorbidities, including mental state, body mass index, frailty, recent hospital admissions, COVID-19 life-sustaining treatment, ICU admission, decisions on limitations of life-sustaining treatment before and during current hospitalisation, hospital length of stay, and hospital mortality. Results A total of 476 patients were included. For 7% (33/476), a decision about limitation of life-sustaining treatment had been made prior to hospital admission. At the time of admission, one or more limitations of life-sustaining treatment were registered for 16% (75/476) of patients. During the admission, limitation decisions were made for an additional 11 patients, totaling 18% (86/476). For 40% (34/86), the decisions were either made by or discussed with the patient. The decisions not made by patients were made by physicians. For 36% (31/86), no information was disclosed about patient involvement. Conclusions Life-sustaining treatment limitation decisions were made for 18% of a COVID-19 patient cohort. Hereof, more than a third of the decisions had been made before hospital admission. Many records lacked information on patient involvement in the decisions.

Examining the relationship between triage acuity and frailty to inform the care of older emergency department patients: Findings from a large Canadian multisite cohort study

CJEM ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Fabrice Mowbray ◽  
Audrey-Anne Brousseau ◽  
Eric Mercier ◽  
Don Melady ◽  
Marcel Émond ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Admission ◽  
Frailty Index ◽  
Secondary Analysis ◽  
Binary Logistic Regression ◽  
Hospital Length ◽  
Study Data ◽  
Hospital Length Of Stay ◽  
Emergency Department Patients ◽  
The Relationship

ABSTRACTBackgroundThe 2016 Canadian Triage and Acuity Scale (CTAS) updates introduced frailty screening within triage to more accurately code frail patients who may deteriorate waiting for care. The relationship between triage acuity and frailty is not well understood, but may help inform which supplemental geriatric assessments are beneficial to support care in the emergency department (ED). Our objectives were to investigate the relationship between triage acuity and frailty, and to compare their associations with a series of patient outcomes.MethodsWe conducted a secondary analysis of the Canadian cohort from a multinational prospective study. Data were collected on ED patients 75 years of age and older from eight ED sites across Canada between November 2009 and April 2012. Triage acuity was assigned using the CTAS, whereas frailty was measured using an ED frailty index. Spearman rank and binary logistic regression were used to examine associations.ResultsA total of 2,153 ED patients were analyzed. No association was found between the CTAS and ED frailty index scores assigned to patients (r = .001; p = 0.99). The ED frailty index was associated with hospital admission (odds ratio [OR] = 1.5; 95% confidence interval [CI] = 1.4–1.6), hospital length of stay (OR = 1.4; 95% CI = 1.2–1.6), future hospitalization (OR = 1.1; 95% CI = 1.05–1.2), and ED recidivism (OR = 1.1; 95% CI = 1.04–1.2). The CTAS was associated with hospital admission (e.g., CTAS 2 v. 5; OR = 6; 95% CI = 3.3–11.4).ConclusionOur findings demonstrate that frailty and triage acuity are independent but complementary measures. EDs may benefit from comprehensive frailty screening post-triage, as frailty and its associated geriatric syndromes drive outcomes separate from traditional measures of acuity.

scholarly journals MP37: Emergency department boarding of admitted oncology patients receiving chemotherapy

CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S55-S56
Author(s):  
K. Grewal ◽  
S. McLeod ◽  
R. Sutradhar ◽  
M. Krzyzanowska ◽  
B. Borgundvaag ◽  
...  
Keyword(s):  
Emergency Department ◽  
Hospital Mortality ◽  
Hospital Admission ◽  
Cancer Patients ◽  
Hospital Length ◽  
Primary Objective ◽  
Adverse Outcomes ◽  
Hospital Length Of Stay ◽  
Administrative Databases ◽  
Ed Crowding

Introduction: Emergency department (ED) boarding is associated with worse outcomes for critically ill patients. There have been mixed findings in other patient populations. The primary objective of this study was to examine predictors of prolonged ED boarding among cancer patients receiving chemotherapy who required hospital admission from the ED. Secondary objectives were to examine the association between prolonged ED boarding and in-hospital mortality, 30-day mortality, and hospital length of stay (LOS). Methods: Using administrative databases from Ontario, we identified adult (≥ 18 years) cancer patients who received chemotherapy within 30 days prior to a hospital admission from the ED between 2013 to 2017. ED boarding time was calculated as the time from the decision to admit the patient to when the patient physically left the ED. Prolonged ED boarding was defined as ≥ 8 hours. Multivariable logistic regression was used to examine predictors of prolonged ED boarding and to determine if prolonged boarding was associated with mortality. Multivariable quantile regression was used to determine the association between prolonged boarding and hospital LOS. Results: 45,879 patients were included in the study. Median (interquartile range (IQR)) ED LOS of stay was 11.8 (7.0, 21.7) hours and median (IQR) ED boarding time was 4.2 (1.6, 14.2) hours. 17,053 (37.2%) patients had prolonged ED boarding. Severe ED crowding was the strongest predictor of prolonged ED boarding (odds ratio: 17.7, 95% CI: 15.0 to 20.9). Prolonged ED boarding was not associated with in-hospital mortality or 30-day mortality. Median hospital LOS was over 9 hours (p <0.0001) longer among patients with the longest ED boarding times. Conclusion: Severe ED crowding was associated with a significant increase in the odds of prolonged ED boarding. While our study demonstrated that prolonged boarding was not associated with increased mortality, further work is required to understand if ED boarding is associated with other adverse outcomes in this immunocompromised population.

scholarly journals Association of Emergency Department Waiting Times With Patient Experience in Admitted and Discharged Patients

2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Patient Experience ◽  
Waiting Times ◽  
Hospital Length ◽  
Short Length ◽  
Hospital Length Of Stay ◽  
Patient’S Experience ◽  
Discharged Patients ◽  
The Impact

Prolonged waiting times are associated with worse patient experience in patients discharged from the emergency department (ED). However, it is unclear which component of the waiting times is most impactful to the patient experience and the impact on hospitalized patients. We performed a retrospective analysis of ED patients between July 2018 and March 30, 2020. In all, 3278 patients were included: 1477 patients were discharged from the ED, and 1680 were admitted. Discharged patients had a longer door-to-first provider and door-to-doctor time, but a shorter doctor-to-disposition, disposition-to-departure, and total ED time when compared to admitted patients. Some, but not all, components of waiting times were significantly higher in patients with suboptimal experience (<100th percentile). Prolonged door-to-doctor time was significantly associated with worse patient experience in discharged patients and in patients with hospital length of stay ≤4 days. Prolonged ED waiting times were significantly associated with worse patient experience in patients who were discharged from the ED and in inpatients with short length of stay. Door-to-doctor time seems to have the highest impact on the patient’s experience of these 2 groups.

scholarly journals Predictive factors for prolonged hospitalisation in acute pyelonephritis patients admitted to the emergency medicine ward

2021 ◽  
pp. 102490792110009
Author(s):  
Howard Tat Chun Chan ◽  
Ling Yan Leung ◽  
Alex Kwok Keung Law ◽  
Chi Hung Cheng ◽  
Colin A Graham
Keyword(s):  
Emergency Department ◽  
Emergency Medicine ◽  
Length Of Stay ◽  
Acute Pyelonephritis ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Prolonged Length ◽  
Reactive Protein ◽  
Prolonged Hospital ◽  
Emergency Medicine Ward

Background: Acute pyelonephritis is a bacterial infection of the upper urinary tract. Patients can be admitted to a variety of wards for treatment. However, at the Prince of Wales Hospital in Hong Kong, they are managed initially in the emergency medicine ward. The aim of the study is to identify the risk factors that are associated with a prolonged hospital length of stay. Methods: This was a retrospective cohort study conducted in Prince of Wales Hospital. The study recruited patients who were admitted to the emergency medicine ward between 1 January 2014 and 31 December 2017. These patients presented with clinical features of pyelonephritis, received antibiotic treatment and had a discharge diagnosis of pyelonephritis. The length of stay was measured and any length of stay over 72 h was considered to be prolonged. Results: There were 271 patients admitted to the emergency medicine ward, and 118 (44%) had a prolonged hospital length of stay. Univariate and multivariate analyses showed that the only statistically significant predictor of prolonged length of stay was a raised C-reactive protein (odds ratio 1.01; 95% confidence 1.01–1.02; p < 0.0001). Out of 271 patients, 261 received antibiotics in the emergency department. All 10 patients (8.5%) who did not receive antibiotics in emergency department had a prolonged length of stay (p = 0.0002). Conclusion: In this series of acute pyelonephritis treated in the emergency medicine ward, raised C-reactive protein levels were predictive for prolonged length of stay. Patients who did not receive antibiotics in the emergency department prior to emergency medicine ward admission had prolonged length of stay.

scholarly journals Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bindu Vekaria ◽  
Christopher Overton ◽  
Arkadiusz Wiśniowski ◽  
Shazaad Ahmad ◽  
Andrea Aparicio-Castro ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Hospital Admission ◽  
Failure Time ◽  
National Level ◽  
Hospital Length ◽  
Survival Model ◽  
Data Driven ◽  
Hospital Length Of Stay ◽  
Similar Data ◽  
Model Complex

Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for predicting LoS using UK national- and hospital-level data. Method On a national scale, relevant patients were identified from the COVID-19 Hospitalisation in England Surveillance System (CHESS) reports. An Accelerated Failure Time (AFT) survival model and a truncation corrected method (TC), both with underlying Weibull distributions, were fitted to the data to estimate LoS from hospital admission date to an outcome (death or discharge) and from hospital admission date to Intensive Care Unit (ICU) admission date. In a second approach we fit a multi-state (MS) survival model to data directly from the Manchester University NHS Foundation Trust (MFT). We develop a planning tool that uses LoS estimates from these models to predict bed occupancy. Results All methods produced similar overall estimates of LoS for overall hospital stay, given a patient is not admitted to ICU (8.4, 9.1 and 8.0 days for AFT, TC and MS, respectively). Estimates differ more significantly between the local and national level when considering ICU. National estimates for ICU LoS from AFT and TC were 12.4 and 13.4 days, whereas in local data the MS method produced estimates of 18.9 days. Conclusions Given the complexity and partiality of different data sources and the rapidly evolving nature of the COVID-19 pandemic, it is most appropriate to use multiple analysis methods on multiple datasets. The AFT method accounts for censored cases, but does not allow for simultaneous consideration of different outcomes. The TC method does not include censored cases, instead correcting for truncation in the data, but does consider these different outcomes. The MS method can model complex pathways to different outcomes whilst accounting for censoring, but cannot handle non-random case missingness. Overall, we conclude that data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management, and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.

Disagreement between emergency department admission diagnosis and hospital discharge diagnosis: mortality and morbidity

Diagnosis ◽  
2016 ◽  
Vol 3 (1) ◽  
pp. 23-30 ◽  
Author(s):  
James Eames ◽  
Arie Eisenman ◽  
Richard J. Schuster
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Medical Center ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Admission Diagnosis ◽  
Mortality And Morbidity ◽  
Emergency Department Admission ◽  
Icu Length Of Stay ◽  
Discordant Group

AbstractPrevious studies have shown that changes in diagnoses from admission to discharge are associated with poorer outcomes. The aim of this study was to investigate how diagnostic discordance affects patient outcomes.: The first three digits of ICD-9-CM codes at admission and discharge were compared for concordance. The study involved 6281 patients admitted to the Western Galilee Medical Center, Naharyia, Israel from the emergency department (ED) between 01 November 2012 and 21 January 2013. Concordant and discordant diagnoses were compared in terms of, length of stay, number of transfers, intensive care unit (ICU) admission, readmission, and mortality.: Discordant diagnoses was associated with increases in patient mortality rate (5.1% vs. 1.5%; RR 3.35, 95% CI 2.43, 4.62; p<0.001), the number of ICU admissions (6.7% vs. 2.7%; RR 2.58, 95% CI 2.07, 3.32; p<0.001), hospital length of stay (3.8 vs. 2.5 days; difference 1.3 days, 95% CI 1.2, 1.4; p<0.001), ICU length of stay (5.2 vs. 3.8 days; difference 1.4 days, 95% CI 1.0, 1.9; p<0.001), and 30 days readmission (14.11% vs. 12.38%; RR 1.14, 95% CI 1.00, 1.30; p=0.0418). ED length of stay was also greater for the discordant group (3.0 vs. 2.9 h; difference 8.8 min; 95% CI 0.1, 0.2; p<0.001): These findings indicate discordant admission and discharge diagnoses are associated with increases in morbidity and mortality. Further research should identify modifiable causes of discordance.

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