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Tracking early readmission after pancreatectomy to index and nonindex institutions: a more accurate assessment of readmission.

ABSTRACT: Readmission after pancreatectomy is common, but few data compare patterns of readmission to index and nonindex hospitals.To evaluate the rate of readmission to index and nonindex institutions following pancreatectomy at a tertiary high-volume institution and to identify patient-level factors predictive of those readmissions.Retrospective analysis of a prospectively collected institutional database linked to statewide data of patients who underwent pancreatectomy at a tertiary care referral center between January 1, 2005, and December 2, 2010.Pancreatectomy.The primary outcome was unplanned 30-day readmission to index or nonindex hospitals. Risk factors and reasons for readmission were measured and compared by site using univariable and multivariable analyses.Among all 623 patients who underwent pancreatectomy during the study period, 134 (21.5%) were readmitted to our institution (105 [78.4%]) or to an outside institution (29 [21.6%]). Fifty-six patients (41.8%) were readmitted because of a gastrointestinal or nutritional problem related to surgery and 42 patients (31.3%) because of a postoperative infection. On multivariable analysis, factors independently associated with readmission included age 65 years or older (odds ratio [OR], 1.80; 95% CI, 1.19-2.71), preexisting liver disease (OR, 2.28; 95% CI, 1.23-4.24), distal pancreatectomy (OR, 1.77; 95% CI, 1.11-2.84), and postoperative drain placement (OR, 2.81; 95% CI, 1.00-7.14).In total, 21.5% of patients required early readmission after pancreatectomy. Even in the setting of a tertiary care referral center, 21.6% of these readmissions were to nonindex institutions. Specific patient-level factors were associated with an increased risk of readmission.

SUBMITTER: Tosoian JJ

PROVIDER: S-EPMC4461067 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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Tracking early readmission after pancreatectomy to index and nonindex institutions: a more accurate assessment of readmission.

Tosoian Jeffrey J JJ Hicks Caitlin W CW Cameron John L JL Valero Vicente V Eckhauser Frederic E FE Hirose Kenzo K Makary Martin A MA Pawlik Timothy M TM Ahuja Nita N Weiss Matthew J MJ Wolfgang Christopher L CL

JAMA surgery 20150201 2

<h4>Importance</h4>Readmission after pancreatectomy is common, but few data compare patterns of readmission to index and nonindex hospitals.<h4>Objectives</h4>To evaluate the rate of readmission to index and nonindex institutions following pancreatectomy at a tertiary high-volume institution and to identify patient-level factors predictive of those readmissions.<h4>Design, setting, and participants</h4>Retrospective analysis of a prospectively collected institutional database linked to statewide ...[more]

PMID: 25535811

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Project description:ImportanceIncreasing regionalization of cancer surgery has the inadvertent potential to lead to fragmentation of care if readmissions occur at a facility other than the index hospital. The magnitude and adverse effects of readmission to a facility other than the one where the surgery was performed are unclear.ObjectivesTo assess rates of readmission to nonindex hospitals after major cancer surgery and to compare outcomes between index and nonindex hospital readmissions.Design, setting, and participantsIn this multicenter, population-based, nationally representative study of adult patients undergoing a major cancer operation (defined as esophagectomies or gastrectomies, hepaticobiliary resections, pancreatectomies, colorectal resections, or cystectomies), retrospective analyses were performed using the Nationwide Readmissions Database (admissions from January 1 through September 30, 2013). Descriptive analyses were performed to determine 90-day readmission characteristics, including timing, cost, and outcomes. Adjusting for clustering by facility, the study used multivariate logistic regression to identify factors associated with nonindex vs index readmissions. The study also used regression models to identify differences in mortality, major complications, and subsequent readmissions between the 2 groups. Data analysis was performed from January 1 through December 31, 2013.ExposuresReadmission to index vs nonindex hospitals (defined as any hospital other than the hospital where the major cancer operation was performed).Main outcomes and measuresProportion of 90-day readmissions and nonindex readmissions after major cancer surgery, factors associated with nonindex readmissions, and difference between in-hospital mortality, hospital costs, and subsequent readmissions for patients admitted to index vs nonindex hospitals.ResultsA total of 60 970 patients were included in the study (mean [SD] age, 67 [13] years; 7619 [55.6%] male and 6075 [44.4%] female). The 90-day readmission rate was 23.0%. Of the 13 695 first readmissions, 20.1% were to a nonindex hospital. Independent factors associated with readmission to a nonindex hospital included type of procedure, comorbidities (OR, 1.40; 95% CI, 1.15-1.70), elective admission (OR, 1.21; 95% CI, 1.06-1.37), discharge to a nursing facility (OR, 1.20; 95% CI, 1.07-1.36), and surgery at a teaching hospital (OR, 1.16; 95% CI, 1.00-1.34) (all P < .05). After risk adjustment, patients readmitted to nonindex hospitals had 31.2% higher odds of mortality (odds ratio, 1.31; 95% CI, 1.05-1.64) and 27.3% higher odds of having a major complication (odds ratio, 1.27; 95% CI, 1.14-1.42). Subsequent readmissions and hospital costs were not different between the 2 groups.Conclusions and relevanceApproximately one-fifth of readmissions were to a nonindex hospital and were associated with higher mortality and morbidity than readmission to index hospitals. Factors that influence nonindex readmissions have been identified to target interventions.

Project description:We sought to determine if discharge home with home health care (HHC) is an independent predictor of increased readmission after pancreatectomy.We examined 30-day readmissions in patients undergoing pancreatectomy using the Healthcare Cost and Utilization Project State Inpatient Database for California from 2009 to 2011. Readmissions were categorized as severe or nonsevere using the Modified Accordion Severity Grading System. Multivariable logistic regression models were used to examine the association of discharge home with HHC and 30-day readmission using discharge home without HHC as the reference group. Propensity score matching was used as an additional analysis to compare the rate of 30-day readmission between patients discharged home with HHC with patients discharged home without HHC.Of 3,573 patients who underwent pancreatectomy, 752 (21.0%) were readmitted within 30 days of discharge. In a multivariable logistic regression model, discharge home with HHC was an independent predictor of increased 30-day readmission (odds ratio = 1.37; 95% CI, 1.11-1.69; p = 0.004). Using propensity score matching, patients who received HHC had a significantly increased rate of 30-day readmission compared with patients discharged home without HHC (24.3% vs 19.8%; p < 0.001). Patients discharged home with HHC had a significantly increased rate of nonsevere readmission compared with those discharged home without HHC, by univariate comparison (19.2% vs 13.9%; p < 0.001), but not severe readmission (6.4% vs 4.7%; p = 0.08). In multivariable logistic regression models, excluding patients discharged to facilities, discharge home with HHC was an independent predictor of increased nonsevere readmissions (odds ratio = 1.41; 95% CI, 1.11-1.79; p = 0.005), but not severe readmissions (odds ratio = 1.31; 95% CI, 0.88-1.93; p = 0.18).Discharge home with HHC after pancreatectomy is an independent predictor of increased 30-day readmission; specifically, these services are associated with increased nonsevere readmissions, but not severe readmissions.

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Tracking early readmission after pancreatectomy to index and nonindex institutions: a more accurate assessment of readmission.

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Tracking early readmission after pancreatectomy to index and nonindex institutions: a more accurate assessment of readmission.

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