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      Predictors of Readmission after Inpatient Plastic Surgery

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          Abstract

          Background

          Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery.

          Methods

          The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission.

          Results

          A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21-5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004), and obesity (body mass index ≥30) (OR, 1.43; CI, 1.09-1.88, P=0.011) to be significant predictors of readmission.

          Conclusions

          Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.

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          Most cited references24

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          Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission.

          In 2009, the Centers for Medicare & Medicaid Services is publicly reporting hospital-level risk-standardized 30-day mortality and readmission rates after acute myocardial infarction (AMI) and heart failure (HF). We provide patterns of hospital performance, based on these measures. We calculated the 30-day mortality and readmission rates for all Medicare fee-for-service beneficiaries ages 65 years or older with a primary diagnosis of AMI or HF, discharged between July 2005 and June 2008. We compared weighted risk-standardized mortality and readmission rates across Hospital Referral Regions and hospital structural characteristics. The median 30-day mortality rate was 16.6% for AMI (range, 10.9% to 24.9%; 25th to 75th percentile, 15.8% to 17.4%; 10th to 90th percentile, 14.7% to 18.4%) and 11.1% for HF (range, 6.6% to 19.8%; 25th to 75th percentile, 10.3% to 12.0%; 10th to 90th percentile, 9.4% to 13.1%). The median 30-day readmission rate was 19.9% for AMI (range, 15.3% to 29.4%; 25th to 75th percentile, 19.5% to 20.4%; 10th to 90th percentile, 18.8% to 21.1%) and 24.4% for HF (range, 15.9% to 34.4%; 25th to 75th percentile, 23.4% to 25.6%; 10th to 90th percentile, 22.3% to 27.0%). We observed geographic differences in performance across the country. Although there were some differences in average performance by hospital characteristics, there were high and low hospital performers among all types of hospitals. In a recent 3-year period, 30-day risk-standardized mortality rates for AMI and HF varied among hospitals and across the country. The readmission rates were particularly high.
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            Thirty-day readmissions--truth and consequences.

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              Validation of new readmission data in the American College of Surgeons National Surgical Quality Improvement Program.

              Hospital readmissions are gathering increasing attention as a measure of health care quality and as a cost-saving target. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) recently began collecting data related to 30-day postoperative readmissions. Our objectives were to assess the accuracy of the ACS NSQIP readmission variable by comparison with the medical record, and to evaluate the readmission variable against administrative data. Readmission data captured in ACS NSQIP at a single academic institution between January and December 2011 were compared with data abstracted from the medical record and administrative data. Of 1,748 cases captured in ACS NSQIP, 119 (6.8%) had an all-cause readmission event identified, and ACS NSQIP had very high agreement with chart review for identifying all-cause readmission events (κ = 0.98). For 1,110 inpatient cases successfully matched with administrative data, agreement with chart review for identifying all-cause readmissions was also very high (κ = 0.97). For identifying unplanned readmission events, ACS NSQIP had good agreement with chart review (κ = 0.67). Overall, agreement with chart review on cause of readmission was higher for ACS NSQIP (κ = 0.75) than for administrative data (κ = 0.46). The ACS NSQIP accurately captured all-cause and unplanned readmission events and had good agreement with the medical record with respect to cause of readmission. Administrative data accurately captured all-cause readmissions, but could not identify unplanned readmissions and less consistently agreed with chart review on cause. The granularity of clinically collected data offers tremendous advantages for directing future quality efforts targeting surgical readmission. Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Arch Plast Surg
                Arch Plast Surg
                APS
                Archives of Plastic Surgery
                The Korean Society of Plastic and Reconstructive Surgeons
                2234-6163
                2234-6171
                March 2014
                12 March 2014
                : 41
                : 2
                : 116-121
                Affiliations
                [1 ]Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg, School of Medicine, Chicago, IL, USA.
                [2 ]Department of Plastic Surgery, UH Case Medical Center, Cleveland, OH, USA.
                [3 ]Vanderbilt School of Medicine, Nashville, TN, USA.
                Author notes
                Correspondence: John YS Kim. Division of Plastic and Reconstructive Surgery, Northwestern University, Feinberg School of Medicine, 675 North St. Clair Street, Galter Suite 19-250, Chicago, IL 60611, USA. Tel: +1-312-695-6022, Fax: +1-312-695-5672, jokim@ 123456nmh.org
                Article
                10.5999/aps.2014.41.2.116
                3961607
                24665418
                54ffe047-50ae-41ad-8638-f4d874e3fa20
                Copyright © 2014 The Korean Society of Plastic and Reconstructive Surgeons

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 July 2013
                : 11 September 2013
                : 12 September 2013
                Funding
                Funded by: Research scholarship through Vanderbilt University School of Medicine by NIH CTSA Grant
                Award ID: UL1RR024975
                Categories
                Original Article

                Surgery
                inpatients,surgery, plastic,patient readmission
                Surgery
                inpatients, surgery, plastic, patient readmission

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