Variations in Nationwide Readmission Patterns after Umbilical Hernia Repair

2019 ◽  
Vol 85 (5) ◽  
pp. 494-500 ◽  
Author(s):  
Sarah A. Eidelson ◽  
Joshua Parreco ◽  
Michelle B. Mulder ◽  
Arjuna Dharmaraja ◽  
L. Renee Hilton ◽  
...  

Up to one in three readmissions occur at a different hospital and are thus missed by current quality metrics. There are no national studies examining 30-day readmission, including to different hospitals, after umbilical hernia repair (UHR). We tested the hypothesis that a large proportion were readmitted to a different hospital, that risk factors for readmission to a different hospital are unique, and that readmission costs differed between the index and different hospitals. The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted for UHR, and cost was calculated. Multivariate logistic regression identified risk factors for 30-day readmission at index and different hospitals. There were 102,650 admissions for UHR and 8.9 per cent readmissions, of which 15.8 per cent readmissions were to a different hospital. The most common reason for readmission was infection (25.8%). Risk factors for 30-day readmission to any hospital include bowel resection, index admission at a for-profit hospital, Medicare, Medicaid, and Charlson Comorbidity Index ≥ 2. Risk factors for 30-day readmission to a different hospital include elective operation, drug abuse, discharge to a skilled nursing facility, and leaving against medical advice. The median cost of initial admission was higher in those who were readmitted ($16,560 [$10,805–$29,014] vs $11,752 [$8151–$17,724], P < 0.01). The median cost of readmission was also higher among those readmitted to a different hospital ($9826 [$5497–$19,139] vs $9227 [$5211–$16,817], P = 0.02). After UHR, one in six readmissions occur at a different hospital, have unique risk factors, and are costlier. Current hospital benchmarks fail to capture this sub-population and, therefore, likely underestimate UHR readmissions.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 83-83
Author(s):  
Dan Andersen ◽  
Sherly Binu ◽  
Mike Sacca

Abstract We examined the results of the 2020 skilled nursing facility (SNF) value-based purchasing (SNF VBP) program to identify correlates and potential drivers of SNF performance in this program. The SNF VBP program provides incentive payments to SNFs based on their performance on a risk-adjusted hospital readmission measure (i.e., the rate at which SNF residents are admitted back to the hospital within 30-days of being admitted to the SNF). SNFs are assessed on this measure for both improvement compared to their historical baseline and overall achievement compared to their peers. All SNFs that are covered under Medicare’s prospective payment system are included in the SNF VBP program. We performed analyses to assess the correlation between individual SNFs’ performance in the 2020 SNF VBP (n=15,201), which is based on actual performance in fiscal year 2018, with contemporaneous matched data related to SNF health inspection results, staffing, and performance on quality measures (these data form the basis of the five-star quality rating system on the Nursing Home Compare website). We also examined longitudinal trends in these non-SNF VBP program variables and their association with changes in SNF performance in the SNF VBP program. We controlled for important SNF-specific factors (e.g., for-profit status, connected to a hospital). We found strong contemporaneous and longitudinal associations between SNF VBP program performance and some, but not all, of these factors. Our findings are supported by decades of empirical research in SNF quality and highlight potential policy alternatives that could further incentivize high quality care in SNFs.


2015 ◽  
Vol 36 (12) ◽  
pp. 1409-1416 ◽  
Author(s):  
Sara Y. Tartof ◽  
Gunter K. Rieg ◽  
Rong Wei ◽  
Hung Fu Tseng ◽  
Steven J. Jacobsen ◽  
...  

BACKGROUNDLimitations in sample size, overly inclusive antibiotic classes, lack of adjustment of key risk variables, and inadequate assessment of cases contribute to widely ranging estimates of risk factors for Clostridium difficile infection (CDI).OBJECTIVETo incorporate all key CDI risk factors in addition to 27 antibiotic classes into a single comprehensive model.DESIGNRetrospective cohort study.SETTINGKaiser Permanente Southern California.PATIENTSMembers of Kaiser Permanente Southern California at least 18 years old admitted to any of its 14 hospitals from January 1, 2011, through December 31, 2012.METHODSHospital-acquired CDI cases were identified by polymerase chain reaction assay. Exposure to major outpatient antibiotics (10 classes) and those administered during inpatient stays (27 classes) was assessed. Age, sex, self-identified race/ethnicity, Charlson Comorbidity Score, previous hospitalization, transfer from a skilled nursing facility, number of different antibiotic classes, statin use, and proton pump inhibitor use were also assessed. Poisson regression estimated adjusted risk of CDI.RESULTSA total of 401,234 patients with 2,638 cases of incident CDI (0.7%) were detected. The final model demonstrated highest CDI risk associated with increasing age, exposure to multiple antibiotic classes, and skilled nursing facility transfer. Factors conferring the most reduced CDI risk were inpatient exposure to tetracyclines and first-generation cephalosporins, and outpatient macrolides.CONCLUSIONSAlthough type and aggregate antibiotic exposure are important, the factors that increase the likelihood of environmental spore acquisition should not be underestimated. Operationally, our findings have implications for antibiotic stewardship efforts and can inform empirical and culture-driven treatment approaches.Infect. Control Hosp. Epidemiol. 2015;36(12):1409–1416


2018 ◽  
Vol 56 (9) ◽  
Author(s):  
Stefan E. Richter ◽  
Loren Miller ◽  
Daniel Z. Uslan ◽  
Douglas Bell ◽  
Karol Watson ◽  
...  

ABSTRACTInfections due to colistin-resistant (Colr) Gram-negative rods (GNRs) and colistin-resistantKlebsiella pneumoniaeisolates in particular result in high associated mortality and poor treatment options. To determine the risk factors for recovery on culture of ColrGNRs and ColrK. pneumoniae, analyses were chosen to aid decisions at two separate time points: the first when only Gram stain results are available without any bacterial species information (corresponding to the ColrGNR model) and the second when organism identification is performed but prior to reporting of antimicrobial susceptibility testing results (corresponding to the ColrK. pneumoniaemodel). Cases were retrospectively analyzed at a major academic hospital system from 2011 to 2016. After excluding bacteria that were intrinsically resistant to colistin, a total of 28,512 GNR isolates (4,557K. pneumoniaeisolates) were analyzed, 128 of which were Colr(i.e., MIC > 2 μg/ml), including 68 of which that were ColrK. pneumoniae. In multivariate analysis, risk factors for ColrGNRs were neurologic disease, residence in a skilled nursing facility prior to admission, receipt of carbapenems in the last 90 days, prior infection with a carbapenem-resistant organism, and receipt of ventilatory support (c-statistic = 0.81). Risk factors for ColrK. pneumoniaespecifically were neurologic disease, residence in a skilled nursing facility prior to admission, receipt of carbapenems in the last 90 days, receipt of an anti-methicillin-resistantStaphylococcus aureusantimicrobial in the last 90 days, and prior infection with a carbapenem-resistant organism (c-statistic = 0.89). A scoring system derived from these models can be applied by providers to guide empirical antimicrobial therapy in patients with infections with suspected ColrGNR and ColrK. pneumoniaeisolates.


2019 ◽  
Vol 7 (4) ◽  
pp. 65-65 ◽  
Author(s):  
Prem N. Ramkumar ◽  
Chukwuweike Gwam ◽  
Sergio M. Navarro ◽  
Heather S. Haeberle ◽  
Jaret M. Karnuta ◽  
...  

2016 ◽  
Vol 32 (5) ◽  
pp. 526-531 ◽  
Author(s):  
Joshua S. Shapiro ◽  
Michael S. Humeniuk ◽  
Mustaqeem A. Siddiqui ◽  
Neelima Bonthu ◽  
Darrell R. Schroeder ◽  
...  

Little is known about which variables put patients with cancer at risk for 30-day hospital readmission. Comanagement of this often complex patient population by specialists and hospitalists has become increasingly common. This retrospective study examined inpatients with cancer comanaged by hospitalists, hematologists, and oncologists to determine the rate of readmission and factors associated with readmission. Patients in this cohort had a readmission rate of 23%. Patients who were discharged to a skilled nursing facility (odds ratio [OR] = 0.34) or hospice (OR = 0.11) were less likely to have 30-day readmissions, whereas patients who had surgery (OR = 3.16) during their index admission were more likely. Other factors, including patient demographics, cancer types, and hospitalization interventions and events, did not differ between patients who were readmitted and those who were not. These findings contribute to a growing body of literature identifying risk factors for readmission in medical oncology and hematology patients.


1999 ◽  
Vol 27 (2) ◽  
pp. 203-203
Author(s):  
Kendra Carlson

The Supreme Court of California held, in Delaney v. Baker, 82 Cal. Rptr. 2d 610 (1999), that the heightened remedies available under the Elder Abuse Act (Act), Cal. Welf. & Inst. Code, §§ 15657,15657.2 (West 1998), apply to health care providers who engage in reckless neglect of an elder adult. The court interpreted two sections of the Act: (1) section 15657, which provides for enhanced remedies for reckless neglect; and (2) section 15657.2, which limits recovery for actions based on “professional negligence.” The court held that reckless neglect is distinct from professional negligence and therefore the restrictions on remedies against health care providers for professional negligence are inapplicable.Kay Delaney sued Meadowood, a skilled nursing facility (SNF), after a resident, her mother, died. Evidence at trial indicated that Rose Wallien, the decedent, was left lying in her own urine and feces for extended periods of time and had stage I11 and IV pressure sores on her ankles, feet, and buttocks at the time of her death.


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