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      Estimating cost savings from regionalizing cardiac procedures using hospital discharge data

      research-article
      1 , 2 , , 3 , 4
      Cost Effectiveness and Resource Allocation
      BioMed Central

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          Abstract

          Background

          We examined whether higher procedure volumes for coronary artery bypass graft (CABG) surgery or percutaneous coronary interventions (PCI) were associated with lower costs per patient, and if so, estimated the financial savings from regionalizing cardiac procedures.

          Methods

          Cost regressions with hospital-specific dummy variables measured within-hospital cost reductions associated with increasing hospital volume. We used the regression estimates to predict the change in total costs that would result from moving patients in low-volume hospitals to higher volume facilities.

          Results

          A 10% increase in PCI procedure volume lowered costs per patient by 0.7%. For the average hospital performing CABG in 2000, a 10% increase in volume was associated with a 2.8% reduction in average costs. Despite these lower costs, the predicted savings from regionalizing all PCI procedures in the sample from lower to high-volume hospitals amounted to only 1.1% of the entire costs of performing PCI procedures for the sample in 2000. Similarly, the cost savings for CABG were estimated to be only 3.5%.

          Conclusion

          Higher volumes were associated with lower costs per procedure. However, the total potential savings from regionalizing cardiac procedures is relatively minor, and may not justify the risks of reducing access to needed services.

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          Most cited references32

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          Econometric Analysis of Cross Section and Panel Data

          This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.
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            Should operations be regionalized? The empirical relation between surgical volume and mortality.

            This study examines mortality rates for 12 surgical procedures of varying complexity in 1498 hospitals to determine whether there is a relation between a hospital's surgical volume and its surgical mortality. The mortality of open-heart surgery, vascular surgery, transurethral resection of the prostate, and coronary bypass decreased with increasing number of operations. Hospitals in which 200 or more of these operations were done annually had death rates, adjusted for case mix, 25 to 41 per cent lower than hospitals with lower volumes. For other procedures, the mortality curve flattened at lower volumes. For example, hospitals doing 50 to 100 total hip replacements attained a mortality rate for this procedure almost as low as that of hospitals doing 200 or more. Some procedures, such as cholecystectomy, showed no relation between volume and mortality. The results may reflect the effect of volume or experience on mortality, or referrals to institutions with better outcomes, as well as a number of other factors, such as patient selection. Regardless of the explanation, these data support the value of regionalization for certain operations.
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              Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.

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                Author and article information

                Journal
                Cost Eff Resour Alloc
                Cost Effectiveness and Resource Allocation
                BioMed Central (London )
                1478-7547
                2007
                29 June 2007
                : 5
                : 7
                Affiliations
                [1 ]Baker Institute, Rice University, 6100 Main Street, Houston, TX, 77005, USA
                [2 ]Department of Medicine, Baylor College of Medicine, Houston, TX, USA
                [3 ]Division of Health Policy and Quality, Houston Center for Quality of Care and Utilization Studies, Veteran Affairs Medical Center, 2002 Holcombe Boulevard, Houston, TX, 77030, USA
                [4 ]Section for Health Services Research Department of Medicine, Baylor College of Medicine, Houston, TX, USA
                Article
                1478-7547-5-7
                10.1186/1478-7547-5-7
                1919355
                17603890
                7d1b595a-6b7a-46d1-a62b-91f2c6e09049
                Copyright © 2007 Ho and Petersen; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 October 2006
                : 29 June 2007
                Categories
                Research

                Public health
                Public health

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