Validation of the Potentially Avoidable Hospital Readmission Rate as a Routine Indicator of the Quality of Hospital Care

2007 ◽  
Vol 2007 ◽  
pp. 8-9
Author(s):  
J.T. Wei
Medical Care ◽  
2006 ◽  
Vol 44 (11) ◽  
pp. 972-981 ◽  
Author(s):  
Patricia Halfon ◽  
Yves Eggli ◽  
Isaline Pr??tre-Rohrbach ◽  
Danielle Meylan ◽  
Alfio Marazzi ◽  
...  

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.


2020 ◽  
Vol 21 (8) ◽  
pp. 1149-1168
Author(s):  
Yuxi Wang ◽  
Simone Ghislandi ◽  
Aleksandra Torbica

Abstract Unwarranted variation in the quality of care challenges the sustainability of healthcare systems. Especially in decentralised healthcare systems, it is crucial to understand the drivers behind regional differences in hospital qualities such as unplanned readmissions. This paper examines the factors that influence the risk of unplanned hospital readmission and the geographic disparity of readmission rate in Italy. We use hospital discharge data from 2010 to 2015 for patients above 65 years old admitted with Acute Myocardial Infarction. Employing hierarchical models, we identified the patient and hospital-level determinants for unplanned readmission. In line with the literature, the risk of readmission increases with age and being male, while hospitals with higher patient volume and capacity tend to have lower unplanned readmission. In particular, we find that after patient risk-adjustments, there are differential effects of hospitalisation length-of-stay on the probability of readmission across the hospitals that are governed by different payment systems. For hospitals under a prospective payment system, the effect of length-of-stay in reducing the probability of readmission is weaker than hospitals under an ex-post global budget, but the overall readmission rates are the lowest. Moreover, there are substantial geographic variations in readmission rate across Local Health Authority and regions, and these variations of unplanned readmission are explained by differences in hospital length-of-stay and surgical procedures used. Our results demonstrate that differential hospital behaviours can be one of the potential mechanisms that drive geographic quality disparities.


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

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