Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19

Author(s):  
Arash Raftarai ◽  
Rahemeh Ramazani Mahounaki ◽  
Majid Harouni ◽  
Mohsen Karimi ◽  
Shakiba Khadem Olghoran
2021 ◽  
Author(s):  
Nupur Amritphale ◽  
Amod Amritphale ◽  
Deepa Vasireddy ◽  
Mansi Batra ◽  
Mukul Sehgal ◽  
...  

BACKGROUND AND OBJECTIVES: Hospital readmission rate helps to highlight the effectiveness of post- discharge care. There remains a paucity of plausible age based categorization especially for ages below one year for hospital readmission rates. METHODS: Data from 2017 Healthcare cost and utilization project National readmissions database was analyzed for ages 0-18 years. Logistic regression analysis was performed to identify predictors for unplanned early readmissions. RESULTS: We identified 5,529,389 inpatient pediatric encounters which were further divided into age group cohorts. The overall rate of readmissions was identified at 3.2%. Beyond infancy, the readmission rate was found to be 6.7%. Across all age groups, the major predictors of unplanned readmission were cancers, diseases affecting transplant recipients and sickle cell patients. It was determined that reflux, milk protein allergy, hepatitis and inflammatory bowel diseases were significant comorbidities leading to readmission. Anxiety, depression and suicidal ideation depicted higher readmission rates in those older than 13 years. Across ages 1-4 yrs, dehydration, asthma and bronchitis were negative predictors of unplanned readmission. CONCLUSIONS: Thirty-day unplanned readmissions remain a problem leading to billions of tax-payer-dollars lost per annum. Effective strategies for mandatory outpatient follow-up may help the financial aspect of care while also enhancing the quality of care.


1997 ◽  
Vol 21 (10) ◽  
pp. 600-603 ◽  
Author(s):  
Mandy Dixon ◽  
Emma Robertson ◽  
Mohan George ◽  
Femi Oyebode

A retrospective case note study explored readmissions to an acute psychiatric in-patient unit within six months of discharge. The study aimed to calculate a hospital readmission rate, to investigate the timing of readmissions, and to identify risk factors associated with readmission. The readmission rate was 27% with the majority of readmissions occurring within three months after discharge, suggesting the need for investigation of such early readmissions. The three factors found to predict readmission were: discharge against medical advice, number of previous admissions, and living alone or with family rather than in care. Implications for hospital service planning are considered.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18513-e18513
Author(s):  
Caitlin Siebenaller ◽  
Tomas Radivoyevitch ◽  
Connie Cheng ◽  
Hetty Carraway ◽  
Sudipto Mukherjee ◽  
...  

e18513 Background: FN is an anticipated complication of consolidation with HiDAC for AML, though precise descriptions of incidence, type, and severity of infection leading to FN are lacking. Since AML patients (pts) with FN after HiDAC are routinely readmitted to the hospital, there is a likely impact on measures of quality and value in this population. Methods: Our primary aim was to define the rate of FN inpatient readmissions among all HiDAC cycles. Secondary aims included: estimating rates of all-cause readmissions, clinical (e.g., probable pneumonia per imaging) and microbiologically-documented infections, and identify pts-specific risk factors associated with readmission. Readmission per patient were modeled using Poisson regression, with means proportional to total cycles exposed, and logistic regression for the probability of FN per treatment cycle. Results: We identified 150 AML pts ≥ 18 years of age, who received at least one cycle of HiDAC consolidation (1000-3000 mg/m2 for six doses) in 2009-2016. The median age was 50 (range 19-69); 55% were female and 45% were male. For 417 HiDAC cycles analyzed (87% at 3000 mg/m2), all pts received flouroquinalone prophylaxis and the overall readmission rate was 49% (203/417), of which 86% (174/203) were for FN. Median time to FN hospital admission was 18 days (range 10-22) from the start of HiDAC. Of the 174 FN readmissions, 60% had documented infections. Of these infections, 35% were bacteremia, 29% other bacterial, 24% fungal, 6% sepsis, and 6% viral. Females had higher FN readmission rates (RR 1.7 (1.3, 2.4) p = 0.007), as did pts with higher BMI (RR 1.06 (1.01, 1.09) p = 0.005), while age and HiDAC dose were not associated with readmission. Only 34% of all readmissions were in the absence of a documented infection. Conclusions: The majority of FN readmissions were associated with clinical or microbiologically documented infections and are not avoidable. Females and pts with higher BMI were more likely to be readmitted. Readmission of AML pts following HiDAC is expected, and therefore, should be excluded from measures of value and quality.


2010 ◽  
Vol 40 (3) ◽  
pp. 247-257 ◽  
Author(s):  
Mika Kobayashi ◽  
Hiroto Ito ◽  
Yasuyuki Okumura ◽  
Ken Mayahara ◽  
Yoshio Matsumoto ◽  
...  

2019 ◽  
Vol 8 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Catherine F Vozzo ◽  
Tavankit Singh ◽  
Jennifer Bullen ◽  
Shashank Sarvepalli ◽  
Arthur McCullough ◽  
...  

Abstract Background Placement of a transjugular intrahepatic portosystemic shunt (TIPS) is a relatively common procedure used to treat complications of portal hypertension. However, only limited data exist regarding the hospital-readmission rate after TIPS placement and no studies have addressed the causes of hospital readmission. We therefore sought to identify the 30-day hospital-readmission rate after TIPS placement at our institution and to determine potential causes and predictors of readmission. Methods We reviewed our electronic medical-records system at our institution between 2004 and 2017 to identify patients who had undergone primary TIPS placement with polytetrafluoroethylene-covered stents and to determine the 30-day readmission rate among these patients. A series of univariable logistic-regression models were fit to assess potential predictors of 30-day readmission. Results A total of 566 patients were included in the analysis. The 30-day readmission rate after TIPS placement was 36%. The most common causes for readmission were confusion (48%), infection (15%), bleeding (11%), and fluid overload (7%). A higher Model for End-Stage Liver Disease (MELD) score corresponded with a higher rate of readmission (odds ratio associated with each 1-unit increase in MELD score: 1.06; 95% confidence interval: 1.02–1.09; P = 0.001). Other potential predictors, including indication for TIPS placement, were not significantly associated with a higher readmission rate. Conclusions The 30-day readmission rate after TIPS placement with covered stents is high, with nearly half of these readmissions due to hepatic encephalopathy—a known complication of TIPS placement. Novel interventions to help reduce the TIPS readmission rate should be prioritized in future research.


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