scholarly journals Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions

BMJ ◽  
2013 ◽  
Vol 347 (nov19 23) ◽  
pp. f6571-f6571 ◽  
Author(s):  
K. Dharmarajan ◽  
A. F. Hsieh ◽  
Z. Lin ◽  
H. Bueno ◽  
J. S. Ross ◽  
...  
BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022297 ◽  
Author(s):  
Renee Y Hsia ◽  
Amy J Markowitz ◽  
Feng Lin ◽  
Joanna Guo ◽  
Debbie Y Madhok ◽  
...  

ObjectiveTo describe visits and visit rates of adults presenting to emergency departments (EDs) with a diagnosis of traumatic brain injury (TBI). TBI is a major cause of death and disability in the USA; yet, current literature is limited because few studies examine longer-term ED revisits and hospital readmission patterns of TBI patients across a broad spectrum of injury severity, which can help inform potential unmet healthcare needs.DesignWe performed a retrospective cohort study.SettingWe analysed non-public patient-level data from California’s Office of Statewide Health Planning and Development for years 2005 to 2014.ParticipantsWe identified 1.2 million adult patients aged ≥18 years presenting to California EDs and hospitals with an index diagnosis of TBI.Primary and secondary outcome measuresOur main outcomes included revisits, readmissions and mortality over time. We also examined demographics, mechanism and severity of injury and disposition at discharge.ResultsWe found a 57.7% increase in the number of TBI ED visits, representing a 40.5% increase in TBI visit rates over the 10-year period (346–487 per 100 000 residents). During this time, there was also a 33.8% decrease in the proportion of patients admitted to the hospital. Older, publicly insured and black populations had the highest visit rates, and falls were the most common mechanism of injury (45.5% of visits). Of all patients with an index TBI visit, 40.5% of them had a revisit during the first year, with 46.7% of them seeking care at a different hospital from their initial hospital or ED visit. Additionally, of revisits within the first year, 13.4% of them resulted in hospital readmission.ConclusionsThe large proportion of patients with TBI who are discharged directly from the ED, along with the high rates of revisits and readmissions, suggest a role for an established system for follow-up, treatment and care of TBI.


2018 ◽  
Vol 50 (4) ◽  
pp. 411-421 ◽  
Author(s):  
Jordi Adamuz ◽  
Maribel González-Samartino ◽  
Emilio Jiménez-Martínez ◽  
Marta Tapia-Pérez ◽  
María-Magdalena López-Jiménez ◽  
...  

2020 ◽  
Author(s):  
Nayara Cristina Da Silva ◽  
Marcelo Keese Albertini ◽  
André Ricardo Backes ◽  
Geórgia Das Graças Pena

BACKGROUND Hospital readmissions are associated with several negative health outcomes and higher hospital costs. The HOSPITAL score is one of the tools developed to identify patients at high risk of hospital readmission, but its predictive capacity in more heterogeneous populations involving different diagnoses and clinical contexts is poorly understood. OBJECTIVE The aim of this study was to propose a refitted HOSPITAL score to predict the risk of potentially avoidable readmission in 30 days and compare the predictive capacity of the original and refitted HOSPITAL score. METHODS Retrospective cohort study was carried out in a tertiary university hospital with patients over the age of 18 years. We developed a refitted HOSPITAL score with the same definitions and predictive variables included in the original HOSPITAL score and compared the predictive capacity of both. The receiver operating characteristic was constructed by comparing the performance risk forecasting tools measuring the area under the curve (AUC). RESULTS Of the 47,464 patients 50.9% were over 60 years and 58.4% were male. The frequency of 30-day potentially avoidable readmission is 7.70% (3638). The accuracy of HOSPITAL score in readmission was AUC: 0.733 (CI 95%: 0.718, 0.748) and the accuracy of HOSPITAL score refitted was AUC: 0.7401 (CI 95%: 0.7256, 0.7547). The frequency of 60, 90, 180, and 365-days readmissions ranged from 10.60% (5,033) to 18.30% (8693). Discussion: Readmission prediction tools have been developed in recent years, but its predictive capacity in more population with different diagnoses is poorly understood. CONCLUSIONS The refitted HOSPITAL score have similar discrimination to predict 30-day potentially avoidable readmission, in patients with different diagnoses. In this sense, our study expands and reinforces the usefulness of the HOSPITAL score as a tool that can be used as part of intervention strategies to reduce the rate of hospital readmission.


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