Factors Affecting Readmission After Pancreaticoduodenectomy
Pancreatic Disease Center, Department of Surgery, University of Cincinnati Medical Center, 234 Goodman Street, ML 0772, Cincinnati, OH 45219, USA.Advances in Surgery 09/2013; 47(1):99-110. DOI: 10.1016/j.yasu.2013.02.006
PD continues to be associated with a high rate of failed discharges, despite significant improvements in techniques and postoperative care at high-volume centers. Even in the best hands, 1 in 5 patients undergoing PD can be expected to require readmission in the early postoperative period. Efforts to minimize readmissions must be aimed at identifying high-risk patients, addressing patient expectations, establishing patient care plans, and using outpatient resources to address anticipated problems and complications.
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ABSTRACT: Background: In this retrospective review, we evaluate a standardized care plan (SCP) for patients undergoing pancreaticoduodenectomy, which included selective placement of feeding jejunostomy tubes (FJTs) and a perioperative fast-track recovery pathway (FTRP). Methods: A review of 242 patients undergoing pancreaticoduodenectomy was completed. Patients treated pre- and post-SCP implementation were compared. Univariate comparison followed by multivariable linear regression were performed to identify predictors of hospital length of stay (HLOS). Results: SCP patients (n = 100) were slightly older but otherwise similar to pre-SCP patients (n = 142). FJT placement occurred less frequently in SCP patients (38 versus 94%, P < 0.001). All SCP patients were initiated on the FTRP. Among SCP patients, an oral diet was introduced earlier (5 versus 8.5 d, P < 0.001) and HLOS was shorter (11 versus 13 d, P = 0.015). Readmission rates were similar. Following adjustment with linear regression, we confirmed SCP status as a predictor of HLOS. To assess SCP components, HLOS was evaluated separately based on FTRP status and FJT placement. Although both were highly associated with HLOS, neither was independently predictive in multivariable analysis. Conclusions: Implementation of an SCP resulted in shorter HLOS without an increase in readmissions. Future studies are necessary to identify specific components of SCPs that most influence outcomes.Journal of Surgical Research 06/2014; 193(1). DOI:10.1016/j.jss.2014.06.036 · 1.94 Impact Factor
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ABSTRACT: Travel distances to care have increased substantially with centralization of complex cancer procedures at high-volume centers. We hypothesize that longer travel distances are associated with higher rates of postoperative readmission and poorer outcomes. SEER-Medicare patients with bladder, lung, pancreas, or esophagus cancer who were diagnosed in 2001 to 2007 and underwent extirpative surgery were included. Readmission rates and survival were calculated using Kaplan-Meier functions. Multivariable negative binomial models were used to examine factors associated with readmission. Four thousand nine hundred forty cystectomies, 1,573 esophagectomies, 20,362 lung resections, and 2,844 pancreatectomies were included. Thirty- and 90-day readmission rates ranged from 13% to 29% and 23% to 43%, respectively, based on tumor type. Predictors of readmission were discharge to somewhere other than home, longer length of stay, comorbidities, higher stage at diagnosis, and longer travel distance (P < .001 for each). Patients who lived farther from the index hospital also had increased emergency room visits and were more likely to be readmitted to a hospital other than the index hospital (P < .001). Of readmitted patients, 31.9% were readmitted more than once. Long-term survival was worse and costs of care higher for patients who were readmitted (P < .001 for all). The burden of readmissions after major cancer surgery is high, resulting in substantially poorer patient outcomes and higher costs. Risk of readmission was most strongly associated with length of stay and discharge destination. Travel distance also has an impact on patterns of readmission. Interventions targeted at higher risk individuals could potentially decrease the population burden of readmissions after major cancer surgery. © 2014 by American Society of Clinical Oncology.Journal of Clinical Oncology 12/2014; 33(5). DOI:10.1200/JCO.2014.55.5938 · 18.43 Impact Factor
Article: Hospital ReadmissionsAdvances in Surgery 04/2015; DOI:10.1016/j.yasu.2015.03.013
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