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      Costs Associated With Modifiable Risk Factors in Ventral and Incisional Hernia Repair

      research-article
      , MD 1 , , PhD, MPH 2 , 3 , 4 , , MD, MPH 4 , , MD 1 , , MD, MPH 1 , 4 , , MD, MPH 1 , 4 ,
      JAMA Network Open
      American Medical Association

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          Abstract

          This cross-sectional study examines the attributable association of modifiable risk factors for adverse outcomes after hernia repair and increased health care spending associated with these adverse outcomes.

          Key Points

          Question

          What is the attributable association of modifiable preoperative risk factors with clinical outcomes and health care spending after ventral and incisional hernia repair (VIHR)?

          Findings

          In this cross-sectional analysis of 22 664 adult patients undergoing VIHR, morbid obesity, insulin-dependent diabetes, and unhealthy alcohol use were significantly associated with adverse outcomes. Additional spending for a serious complication after surgery was $26 648, of which $3638 was associated with morbid obesity, $650 was associated with insulin-dependent diabetes, and $567 was associated with unhealthy alcohol use.

          Meaning

          Quantifying the association of individual risk factors with adverse outcomes after VIHR may help surgeons develop targeted interventions to reduce complications and surgical spending.

          Abstract

          Importance

          Ventral and incisional hernia repair (VIHR) is an extremely common operation, after which complications are also fairly common. A number of preoperative risk factors are known to contribute to increased complications after surgical repair; however, the individual relative association of these risk factors with adverse outcomes and increased spending is unclear. Quantifying the association of individual risk factors may help surgeons implement targeted surgical optimization, improve outcomes, and reduce spending.

          Objective

          To identify the attributable association of modifiable risk factors for adverse outcomes after VIHR on outcomes and episode-of-care payments.

          Design, Setting, and Participants

          This cross-sectional study was performed using a population-based sample of adult patients and episode spending data from January 1, 2012, to December 31, 2018, from a statewide multipayer registry. A multilevel mixed-effects logistic regression model was used to examine the contribution of patient-specific risk factors to adverse outcomes. Attributable risk and population attributable risk fraction were calculated to estimate the additional spending attributable to individual risk factors. Data were analyzed from April 2018 to September 2018.

          Main Outcomes and Measures

          Any complications, serious complication, discharge not to home, 30-day emergency department utilization, and 30-day readmission. Episode-of-care spending was calculated for these outcomes.

          Results

          This study included 22 664 patients (median [interquartile range] age, 55 [44-64] years; 10 496 [46.3%] women) undergoing VIHR with identified significant preoperative risk factors. Fourth-quartile body mass index (BMI), calculated as weight in kilograms divided by height in meters squared and defined as a mean (SD) BMI of 43 (6), was associated with increased risk of any complication (odds ratio [OR], 1.64; 95% CI, 1.30-2.06; P < .001) and serious complication (OR, 1.67; 95% CI, 1.22-2.31; P = .002). Insulin-dependent diabetes was associated with increased risk of any complication (OR, 1.34; 95% CI, 1.03-1.73; P = .03), serious complication (OR, 1.51; 95% CI, 1.08-2.12; P = .02), discharge not to home (OR, 1.49; 95% CI, 1.12-1.98; P = .005), and 30-day readmission (OR, 1.68; 95% CI, 1.32-2.14; P < .001). Median (interquartile range) additional episode spending for any complication was $9934 ($9224-$11 851), of which $1304 ($1208-$1552) was attributable to fourth-quartile BMI. Median (interquartile range) additional episode spending for a serious complication was $26 648 ($20 632-$33 166), of which $3638 ($2827-$4544) was attributable to fourth-quartile BMI, $650 ($495-$796) was attributable to insulin-dependent diabetes, and $567 ($433-$696) was attributable to unhealthy alcohol use.

          Conclusions and Relevance

          In this cross-sectional study, modifiable risk factors, such as obesity, insulin-dependent diabetes, and unhealthy alcohol use, were associated with adverse outcomes after VIHR. These factors were significantly associated with increased health care spending; therefore, preoperative optimization may improve outcomes and decrease episode-of-care costs.

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          Most cited references34

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          Personalised Prehabilitation in High-risk Patients Undergoing Elective Major Abdominal Surgery: A Randomized Blinded Controlled Trial.

          The aim of this study was to assess the impact of personalized prehabilitation on postoperative complications in high-risk patients undergoing elective major abdominal surgery.
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            The ability of prehabilitation to influence postoperative outcome after intra-abdominal operation: A systematic review and meta-analysis.

            Preoperative physical fitness is predictive of postoperative outcome. Patients with lesser aerobic capacity are at greater risk of postoperative complications, longer hospital stays, and mortality. Prehabilitation may improve physical fitness, but it is unknown whether enhanced fitness translates to an improvement in postoperative outcome.
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              Preoperative carbohydrate treatment for enhancing recovery after elective surgery.

              Preoperative carbohydrate treatments have been widely adopted as part of enhanced recovery after surgery (ERAS) or fast-track surgery protocols. Although fast-track surgery protocols have been widely investigated and have been shown to be associated with improved postoperative outcomes, some individual constituents of these protocols, including preoperative carbohydrate treatment, have not been subject to such robust analysis.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                27 November 2019
                November 2019
                27 November 2019
                : 2
                : 11
                : e1916330
                Affiliations
                [1 ]Department of Surgery, University of Michigan Health System, Ann Arbor
                [2 ]Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor
                [3 ]Michigan Value Collaborative, Ann Arbor
                [4 ]Center for Healthcare Outcomes and Policy, Ann Arbor, Michigan
                Author notes
                Article Information
                Accepted for Publication: October 9, 2019.
                Published: November 27, 2019. doi:10.1001/jamanetworkopen.2019.16330
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Howard R et al. JAMA Network Open.
                Corresponding Author: Dana A. Telem, MD, MPH, Department of Surgery, University of Michigan Health System, 2926 Taubman Center, 1500 E Medical Center Dr, SPC 5331, Ann Arbor, MI 48109-5331 ( dtelem@ 123456med.umich.edu ).
                Author Contributions: Drs Howard and Fan had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Howard, Englesbe, Dimick, Telem.
                Acquisition, analysis, or interpretation of data: Howard, Thompson, Fan, Telem.
                Drafting of the manuscript: Howard, Thompson, Dimick.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Howard, Thompson, Fan.
                Obtained funding: Telem.
                Administrative, technical, or material support: Thompson, Dimick, Telem.
                Supervision: Englesbe, Dimick, Telem.
                Conflict of Interest Disclosures: Dr Howard reported receiving grants from the Blue Cross Blue Shield Foundation of Michigan. Dr Thompson reported receiving partial salary support from Blue Cross Blue Shield of Michigan for his role in the Michigan Value Collaborative. Dr Engelsbe reported receiving funding from the Michigan Department of Health and Human Services and the National Institute on Drug Abuse. Dr Dimick reported receiving funding from the National Institutes of Health and owning stock in ArborMetrix. Dr Telem reported receiving grants from Medtronic. No other disclosures were reported.
                Funding/Support: This work was supported by a grant from the Agency for Healthcare Research and Quality (K08HS025778).
                Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi190619
                10.1001/jamanetworkopen.2019.16330
                6902835
                31774525
                04989447-58fb-48b7-9abe-c0e84e93961d
                Copyright 2019 Howard R et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 20 August 2019
                : 9 October 2019
                Funding
                Funded by: Agency for Healthcare Research and Quality
                Categories
                Research
                Original Investigation
                Online Only
                Surgery

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