Special Article
Hospital Volume and Surgical Mortality in the United States
N Engl J Med 2002; 346:1128-1137April 11, 2002
- Abstract
Background
Although numerous studies suggest that there is an inverse relation between hospital volume of surgical procedures and surgical mortality, the relative importance of hospital volume in various surgical procedures is disputed.
Methods
Using information from the national Medicare claims data base and the Nationwide Inpatient Sample, we examined the mortality associated with six different types of cardiovascular procedures and eight types of major cancer resections between 1994 and 1999 (total number of procedures, 2.5 million). Regression techniques were used to describe relations between hospital volume (total number of procedures performed per year) and mortality (in-hospital or within 30 days), with adjustment for characteristics of the patients.
Results
Mortality decreased as volume increased for all 14 types of procedures, but the relative importance of volume varied markedly according to the type of procedure. Absolute differences in adjusted mortality rates between very-low-volume hospitals and very-high-volume hospitals ranged from over 12 percent (for pancreatic resection, 16.3 percent vs. 3.8 percent) to only 0.2 percent (for carotid endarterectomy, 1.7 percent vs. 1.5 percent). The absolute differences in adjusted mortality rates between very-low-volume hospitals and very-high-volume hospitals were greater than 5 percent for esophagectomy and pneumonectomy, 2 to 5 percent for gastrectomy, cystectomy, repair of a nonruptured abdominal aneurysm, and replacement of an aortic or mitral valve, and less than 2 percent for coronary-artery bypass grafting, lower-extremity bypass, colectomy, lobectomy, and nephrectomy.
Conclusions
In the absence of other information about the quality of surgery at the hospitals near them, Medicare patients undergoing selected cardiovascular or cancer procedures can significantly reduce their risk of operative death by selecting a high-volume hospital.
Media in This Article
Figure 2
Adjusted In-Hospital or 30-Day Mortality among Medicare Patients (1994 through 1999), According to Quintile of Total Hospital Volume for Resections of Gastrointestinal Cancer (Panel A) and Resections of Other Cancers (Panel B).Figure 1
Adjusted In-Hospital or 30-Day Mortality among Medicare Patients (1994 through 1999), According to Quintile of Total Hospital Volume for Peripheral Vascular Procedures (Panel A) and Cardiac Procedures (Panel B).Article Activity
- Article
Over the past three decades, numerous studies have described higher rates of operative mortality with selected surgical procedures at hospitals where few such procedures are performed (low-volume hospitals).1-4 Several recent reviews suggest that thousands of preventable surgical deaths occur each year in the United States because elective but high-risk surgery is performed in hospitals that have inadequate experience with the surgical procedures involved.5-7 As part of a broader initiative aimed at improving hospital safety, a large coalition of private and public purchasers of health insurance — the Leapfrog Group — is encouraging patients undergoing one of five high-risk procedures to seek care at high-volume hospitals.8 In the lay media, there has been an emphasis on the importance of experience with particular procedures,9,10 and several consumer-oriented Web sites (e.g., http://www.healthscope.org) have begun providing patients with information about volume at hospitals near them.
Despite the recent interest in surgical volume, many question the applicability of previous research on volume and outcome to current practice.11,12 First, many studies of volume and outcome are outdated. Given that the surgical mortality associated with many procedures has fallen considerably since these studies were conducted,13,14 the relative importance of the volume of procedures performed may be declining. Second, most published studies on volume and outcome have used state-level data bases or regional populations that are served by a small number of high-volume centers.6 Whether their results are broadly generalizable is uncertain. And finally, although some procedures (e.g., cardiac surgery) have been studied extensively, the relative importance of hospital volume to mortality with many other high-risk procedures either has not been explored or has been studied in samples that were too small to permit assessment of performance at all meaningful levels of hospital volume.
To address many of these limitations, we studied surgical mortality in the Medicare population, which accounts for the majority of all patients in the United States who undergo high-risk surgery and an even larger majority of those who die after surgery.15 Using current national data (from 1994 through 1999), we studied the importance of hospital volume to the operative mortality associated with six types of cardiovascular procedures and eight types of major cancer resections.
Methods
Subjects and Data Bases
We obtained the Medicare Provider Analysis and Review (MEDPAR) files and the denominator files from the Center for Medicare and Medicaid Services for the years 1994 through 1999. These files contain hospital-discharge abstracts for the acute care hospitalizations of all Medicare recipients covered by the hospital care program (Part A). Only patients covered by fee-for-service arrangements are included in the MEDPAR file; thus, our sample excludes the approximately 10 percent of Medicare patients who were enrolled in risk-bearing health maintenance organizations during this period. We excluded patients who were under 65 years of age or over 99 years of age. The study protocol was approved by the institutional review board of Dartmouth Medical School.
Hospital Volume
Patients undergoing each of the 14 procedures examined in our analysis were identified with the use of appropriate procedure codes from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM).16 These procedures were selected because they are relatively complex, are associated with a nontrivial risk of operative mortality, and are most often performed on an elective basis.
We focused on the total number of each type of procedure performed at a given hospital (hospital volume), not the total number of procedures involving Medicare recipients (Medicare volume), in order to place our results in the context of the volume standards suggested by the Leapfrog Group8 and others. To estimate total volumes, we examined data from the all-payer 1997 Nationwide Inpatient Sample. We determined the proportion of all patients undergoing each procedure who were covered by Medicare; the proportion ranged from 43 percent (for nephrectomy) to 75 percent (for carotid endarterectomy). To estimate the total volume at individual hospitals, we divided the observed Medicare volume (the total number of each type of procedure performed on Medicare patients during the six-year study period) by these procedure-specific proportions.
Hospital volume, expressed as the average number of procedures per year, was first evaluated as a continuous variable. To simplify the presentation of our results, however, we also created categorical variables, defining five categories of hospital volume: very low, low, medium, high, and very high. For each procedure, the hospitals were ranked in order of increasing total hospital volume, and then five volume groups were defined by the selection of whole-number cutoff points for annual volume that most closely sorted the patients into five groups of equal size (quintiles). The cutoff points were established before mortality was examined in order to avoid selecting cutoff points that could maximize the associations between volume and outcome.17 To reflect most accurately the overall institutional experience with each type of operation, we combined the replacement of aortic and mitral valves (into the single category of heart-valve replacement) and lobectomy and pneumonectomy (into the category of lung resection) in determining hospital volume. However, the outcomes of these procedures were assessed separately.
Assessment of Outcomes
In creating cohorts for the analysis of outcomes, we applied several restrictions in order to increase the homogeneity of the study samples and thus minimize the potential for confounding by case mix. For the eight types of major cancer resections, we excluded patients without an accompanying cancer-diagnosis code (related to the index procedure). Patients undergoing repair of an abdominal aortic aneurysm were excluded if they had a diagnosis or procedure code suggesting rupture of the aneurysm, thoracoabdominal aneurysm, or both. Patients undergoing coronary-artery bypass grafting were excluded if they simultaneously underwent valve replacement.
Our primary outcome measure was operative mortality, defined as the rate of death before hospital discharge or within 30 days after the index procedure. Because a large proportion of surgical deaths before discharge occurred more than 30 days after surgery, we decided that 30-day mortality alone would not adequately reflect true operative mortality. Because the length of stay did not vary systematically according to hospital volume, the inclusion of late, in-hospital deaths would not be expected to bias our results. Moreover, associations between volume and outcome were largely unchanged when we repeated our analyses using 30-day mortality alone.
Statistical Analysis
We used multiple logistic regression to examine relations between hospital volume and operative mortality, with adjustment for characteristics of the patients.18 We used the patient as the unit of analysis, with volume measured at the hospital level. We first fitted separate models for each procedure against the logarithm of volume to establish the general form of the relation. We then fitted models against the quintiles of volume for each procedure.
We adjusted for age group (65 to 69 years, 70 to 74 years, 75 to 79 years, 80 to 84 years, or 85 to 99 years), sex, race (black or nonblack), and their interactions, as well as the year of the procedure, the relative urgency of the index admission (elective, urgent, or emergency), the presence of coexisting conditions, and mean income from Social Security.18 This last measure was assessed at the ZIP Code level (on the basis of the 1990 Census file) because patient-level information on socioeconomic status is not available.
Coexisting conditions were identified with the use of information from the index admission and any other admissions that had occurred within the preceding six months. Relative to low-volume hospitals, high-volume hospitals treat a larger number of patients who have been transferred or referred from other centers. To minimize the possibility of bias due to the identification of more previous admissions (and thus more coexisting conditions) at high-volume centers, we excluded information on coexisting conditions identified at previous admissions that occurred within two weeks before the index hospitalization. For the purposes of risk adjustment, coexisting conditions (identified by their appropriate ICD-9-CM codes) were compiled into a Charlson score (the number of coexisting conditions, weighted according to their relative effects on mortality),19,20 which was modified to exclude conditions that were likely to reflect either the primary indication for surgery or postoperative complications.21,22 We also explored two alternative approaches to incorporating coexisting conditions into our risk-adjustment models: including Charlson scores with weights derived empirically for each procedure and including coexisting conditions individually by inserting into each model each condition that was present in at least 2 percent of the patients. Because all three approaches yielded virtually identical results, we report only those from the model that used the Charlson score with published weights.19
We used overdispersed binary logistic models to adjust for clustering of deaths within hospitals.23 The net effect was to increase the width of the confidence intervals between 2 percent (cystectomy) and 44 percent (lobectomy), with a mean increase of 25 percent. We computed adjusted mortality rates on the basis of the average values of the characteristics of the patients by back-transforming predicted mortality from the logistic model. Our final risk-adjustment models had intermediate discriminative ability, with C statistics ranging from 0.60 (for pneumonectomy) to 0.71 (for nephrectomy). All P values are two-tailed.
Because the Medicare files used for this analysis reflect the use of procedures among patients with fee-for-service arrangements for health care, we may have underestimated hospital volume in regions of the country that had a high penetration of Medicare managed care during the study period (mainly southern California and the Southwest). For this reason, we repeated our analyses after restricting our data set to hospital-referral regions with a penetration of Medicare managed care of less than 10 percent. Because the adjusted odds ratios for death associated with hospital volume changed negligibly as a result of this restriction, these data are not presented.
Results
Between 1994 and 1999, approximately 2.5 million Medicare patients underwent 1 of the 14 cardiovascular or cancer-related procedures that we studied. The criteria used to define the five strata of hospital volume varied markedly according to procedure, reflecting the relative frequency with which each is performed (Table 1Table 1
Distribution of Patients and Hospitals among Quintiles of Volume for the 14 Procedures.). Medicare volume and total volume for the 14 procedures were highly correlated at the hospital level (overall correlation coefficient, 0.97).The age and sex of the patients did not vary consistently among strata of hospital volume (Table 2Table 2
Characteristics of the Patients According to Hospital Volume.). However, for most of the 14 procedures, black patients were more likely to undergo surgery at a lower-volume hospital. For most procedures, Charlson scores tended to be slightly higher at higher-volume hospitals. However, patients were more likely to be admitted nonelectively at lower-volume hospitals. This trend was more apparent with respect to several cancer-related resections (e.g., esophagectomy) than with respect to cardiovascular procedures.When it was assessed as a continuous (logarithmic) variable, hospital volume was related to both observed and adjusted operative mortality rates for all 14 procedures (P<0.001 for all trends). In terms of odds ratios for death, adjustment for characteristics of the patients attenuated the associations between volume and outcome moderately for carotid endarterectomy, colectomy, gastrectomy, esophagectomy, and pulmonary lobectomy (Table 3Table 3
Operative Mortality Rates and Their Association with Hospital Volume.). Risk adjustment had negligible effect with respect to the other procedures.In terms of absolute differences in adjusted mortality rates, the importance of hospital volume varied markedly according to the type of procedure (Figure 1Figure 1
Adjusted In-Hospital or 30-Day Mortality among Medicare Patients (1994 through 1999), According to Quintile of Total Hospital Volume for Peripheral Vascular Procedures (Panel A) and Cardiac Procedures (Panel B). and Figure 2Figure 2Adjusted In-Hospital or 30-Day Mortality among Medicare Patients (1994 through 1999), According to Quintile of Total Hospital Volume for Resections of Gastrointestinal Cancer (Panel A) and Resections of Other Cancers (Panel B).). For example, for pancreatic resection, adjusted mortality rates at very-low-volume hospitals were 12.5 percent higher than at very-high-volume hospitals (16.3 percent vs. 3.8 percent) (Figure 2A). Relatively large differences in risk were also observed for esophagectomy (11.9 percent) and pneumonectomy (5.4 percent). Absolute differences in adjusted mortality rates between very-low-volume and very-high-volume hospitals were between 2 percent and 5 percent for gastrectomy, cystectomy, repair of a nonruptured abdominal aortic aneurysm, and aortic- and mitral-valve replacement, and the differences were less than 2 percent for coronary-artery bypass grafting, lower-extremity bypass, colectomy, lobectomy, and nephrectomy. The absolute difference in mortality between very-low-volume and very-high-volume hospitals was smallest for carotid endarterectomy (1.7 percent vs. 1.5 percent).Relations between volume and outcome in the intermediate strata of hospital volume also varied widely according to the type of procedure (Figure 1 and Figure 2). For several types of procedure (including coronary-artery bypass grafting, valve replacement, and pancreatic resection), mortality declined monotonically with each stratum of increasing hospital volume. For others (including elective repair of an abdominal aortic aneurysm, gastrectomy, and pneumonectomy), differences in mortality were most apparent at the extremes of volume, whereas hospitals in the intermediate-volume strata had similar mortality rates.
Discussion
In this large, national study, higher-volume hospitals had lower operative mortality rates for six types of cardiovascular procedures and eight types of major cancer resections. However, the absolute magnitude of the relation between volume and outcome varied markedly among the types of procedures. Dramatic differences in mortality between very-low-volume and very-high-volume hospitals were observed for pancreatic resection and esophagectomy (more than 12 percent, in absolute terms), whereas relatively small differences in mortality (1 percent or less) were found for 3 of the 14 procedures examined in our analysis. These findings suggest the relative importance of hospital volume for individual patients who are considering where to undergo various procedures. From the public health perspective, however, one must also consider the total number of patients who undergo each procedure. For example, in the case of coronary-artery bypass grafting (for which volume had a moderate effect but which is very common), 314 deaths would be averted in the United States each year if the mortality rate at very-low-volume hospitals were reduced to the rate at very-high-volume centers. Conversely, in the case of pancreatic resection (for which volume had a very large effect but which is performed infrequently), lowering the mortality rate at very-low-volume centers to that observed at very-high-volume centers would avert only 32 deaths annually.
We believe that our results reflect real differences in the quality of surgery between high-volume and low-volume hospitals. First, the effect is large. For some procedures, mortality at low-volume centers was several times as high as at high-volume hospitals — a difference that is too great to be attributed to chance or unmeasured confounding. Second, relations between volume and outcome are remarkably consistent over time and across studies. According to one recent structured review of the literature, 123 of 128 analyses involving 40 different procedures (96 percent) found lower mortality at high-volume hospitals (differences were statistically significant in 80 percent of these analyses).5 Only 4 of the 128 (3 percent) found higher mortality rates at high-volume hospitals, but none of these findings were statistically significant. And finally, the link between surgical volume and mortality is clinically plausible. Although the mechanisms underlying the relations between volume and outcome have not been fully characterized, high-volume hospitals may have more surgeons who specialize in specific procedures, more consistent processes for postoperative care, better-staffed intensive care units, and greater resources, in general, for dealing with postoperative complications.
Our analysis has several limitations. First, because we studied only Medicare patients, our results may not be generalizable to patients under 65 years of age. However, there is no evidence that age affects the relations between volume and outcome. Second, our measure of volume was imperfect. We estimated total hospital volume by extrapolating from Medicare volume, not by direct measurement. Although Medicare and total volumes are highly correlated at the hospital level, there probably remains some degree of misclassification of hospital-volume status, which would tend to bias our analysis toward the null hypothesis (no effect of volume on outcome). Third, because our primary goal was to estimate the potential effect of referral policies that focus exclusively on volume, we did not attempt to adjust for characteristics of the provider that are likely to be highly correlated with volume. Analyses that aimed to assess the independent effect of hospital volume would need to account for other variables that may influence mortality, including hospital size and teaching status, the volume of procedures performed by a particular surgeon, and staffing patterns in the intensive care unit.24-27
Finally, because we relied on administrative data, we may not have accounted adequately for differences in case mix among strata of hospital volume. Administrative data are limited in their ability to differentiate patients according to the severity of illness.21,22,28,29 Age and the prevalence of coexisting conditions did not vary substantially according to hospital volume in our data set. However, even for conditions for which the procedure itself is almost always elective, patients at lower-volume hospitals were more likely to have been admitted nonelectively. Conversely, patients at higher-volume hospitals were more likely to have had recent nonelective admissions elsewhere. Although these findings raise the possibility of unmeasured differences in case mix among hospitals, we do not believe that confounding is a likely explanation for our main findings.
Although relations between volume and outcome have long been recognized, large-scale efforts to reduce surgical mortality by concentrating selected procedures in high-volume hospitals are only now beginning to gain momentum. The most visible of these efforts is being directed by the nonprofit Leapfrog Group, a coalition of more than 80 large public and private purchasers that insure more than 25 million persons. The coalition is encouraging both patients and payers to select hospitals that meet minimal volume standards for coronary-artery bypass surgery (500 procedures per year), coronary angioplasty (400 per year), carotid endarterectomy (100 per year), repair of abdominal aortic aneurysm (30 per year), and esophagectomy for cancer (6 per year). Although our analysis does not indicate that these specific volume thresholds are better than other alternatives, it does confirm that the proposed standards could reduce the surgical mortality associated with several of these procedures.
Many may object to such initiatives aimed at concentrating selected surgical procedures in high-volume hospitals. They may rightly point out that procedure volume is an imperfect proxy for quality — that some low-volume hospitals have excellent outcomes, whereas some high-volume hospitals have poor outcomes. Unfortunately, most patients facing high-risk surgery have no way of knowing the relative quality of the hospitals near them. Although several states currently have public reporting systems in place,30,31 these efforts are largely restricted to reporting on cardiac surgery. Most other procedures are not performed frequently enough to allow assessment of procedure-specific mortality at the level of the individual hospital. Thus, in the absence of better information about surgical quality, patients undergoing many types of procedures can substantially improve their odds of survival by selecting a high-volume hospital near them.
Supported by a grant (R01 HS10141-01) from the Agency for Healthcare Research and Quality. Dr. Birkmeyer is also supported by a Career Development Award from the Veterans Affairs Health Services Research and Development program. The views expressed herein do not necessarily represent the views of the Department of Veterans Affairs or the United States Government.
Source Information
From the Veterans Affairs Outcomes Group, Department of Veterans Affairs Medical Center, White River Junction, Vt. (J.D.B., E.V.A.F., H.G.W.); the Department of Surgery, Dartmouth–Hitchcock Medical Center, Lebanon, N.H. (J.D.B.); the Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, N.H. (J.D.B., T.A.S., H.G.W., D.E.W.); the Center for Outcomes Research and Evaluation, Maine Medical Center, Portland (A.E.S., F.L.L., I.B., D.E.W.); and the Department of Surgery, University of California, San Francisco (E.V.A.F.).
Address reprint requests to Dr. Birkmeyer at the Veterans Affairs Outcomes Group (111B), Veterans Affairs Medical Center, White River Junction, VT 05009, or at john.birkmeyer@dartmouth.edu.
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José Roig-García, Jordi Gironés-Vilà, Elisenda Garsot-Savall, Manel Puig-Costa, José Rodríguez-Hermosa, Antoni Codina-Cazador. (2008) Esofagectomía transtorácica y transhiatal mediante técnicas mínimamente invasivas. Experiencia en 50 pacientes. Cirugía Española 83:4, 180-185
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Masaru Morita, Rintaro Yoshida, Keisuke Ikeda, Akinori Egashira, Eiji Oki, Noriaki Sadanaga, Yoshihiro Kakeji, Takeharu Yamanaka, Yoshihiko Maehara. (2008) Advances in esophageal cancer surgery in Japan: An analysis of 1000 consecutive patients treated at a single institute. Surgery 143:4, 499-508
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Bradley G. Hammill, Lesley H. Curtis, Elliott Bennett-Guerrero, Christopher M. OʼConnor, James G. Jollis, Kevin A. Schulman, Adrian F. Hernandez. (2008) Impact of Heart Failure on Patients Undergoing Major Noncardiac Surgery. Anesthesiology 108:4, 559-567
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Robert A. Meguid, Benjamin S. Brooke, David C. Chang, J. Timothy Sherwood, Malcolm V. Brock, Stephen C. Yang. (2008) Are Surgical Outcomes for Lung Cancer Resections Improved at Teaching Hospitals?. The Annals of Thoracic Surgery 85:3, 1015-1025
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Elad I. Levy, J. Mocco, Rodney M. Samuelson, Robert D. Ecker, Babak S. Jahromi, L. Nelson Hopkins. (2008) Optimal Treatment of Carotid Artery Disease. Journal of the American College of Cardiology 51:10, 979-985
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Francesco Grigioni, Christophe Tribouilloy, Jean Francois Avierinos, Andrea Barbieri, Marinella Ferlito, Faouzi Trojette, Laurence Tafanelli, Angelo Branzi, Catherine Szymanski, Gilbert Habib, Maria G. Modena, Maurice Enriquez-Sarano. (2008) Outcomes in Mitral Regurgitation Due to Flail Leaflets. JACC: Cardiovascular Imaging 1:2, 133-141
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Alexander Rosemurgy, Sarah Cowgill, Brian Coe, Ashley Thomas, Sam Al-Saadi, Steven Goldin, Emmanuel Zervos. (2008) Frequency With Which Surgeons Undertake Pancreaticoduodenectomy Continues to Determine Length of Stay, Hospital Charges, and In-Hospital Mortality. Journal of Gastrointestinal Surgery 12:3, 442-449
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Karl Y. Bilimoria, Mark S. Talamonti, James S. Tomlinson, Andrew K. Stewart, David P. Winchester, Clifford Y. Ko, David J. Bentrem. (2008) Prognostic Score Predicting Survival After Resection of Pancreatic Neuroendocrine Tumors. Annals of Surgery 247:3, 490-500
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James P. Marcin, Zhongmin Li, Richard L. Kravitz, Jian J. Dai, David M. Rocke, Patrick S. Romano. (2008) The CABG Surgery Volume-Outcome Relationship: Temporal Trends and Selection Effects in California, 1998-2004. Health Services Research 43:1p1, 174-192
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Ricardo J. Komotar, Brad E. Zacharia, J Mocco, E. Sander Connolly. (2008) CONTROVERSIES IN THE SURGICAL TREATMENT OF RUPTURED INTRACRANIAL ANEURYSMS. Neurosurgery 62:2, 396-407
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Andrew C. Chang, Hong Ji, Nancy J. Birkmeyer, Mark B. Orringer, John D. Birkmeyer. (2008) Outcomes After Transhiatal and Transthoracic Esophagectomy for Cancer. The Annals of Thoracic Surgery 85:2, 424-429
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Kameswari Maganti, Nalini Rajamannan. (2008) Slowing the progression of aortic stenosis. Current Treatment Options in Cardiovascular Medicine 10:1, 18-26
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Siddharth Patel, James Cassuto, Mark Orloff, Georgios Tsoulfas, Martin Zand, Randeep Kashyap, Ashok Jain, Adel Bozorgzadeh, Peter Abt. (2008) Minimizing Morbidity of Organ Donation: Analysis of Factors for Perioperative Complications After Living-Donor Nephrectomy in the United States. Transplantation 85:4, 561-565
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Christoph W. Michalski, Jörg Kleeff, Jeannine Bachmann, Jaber AlKhatib, Mert Erkan, Irene Esposito, Ulf Hinz, Helmut Friess, Markus W. Büchler. (2008) Second-Look Operation for Unresectable Pancreatic Ductal Adenocarcinoma at a High-Volume Center. Annals of Surgical Oncology 15:1, 186-192
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Arthur Wheeler, Jay Steingrub, Gregory A. Schmidt, Philip Sanchez, Judith Jacobi, Walter Linde-Zwirble, Becky Bates, Rebecca L. Qualy, Brad Woodward, Michael Zeckel. (2008) A retrospective observational study of drotrecogin alfa (activated) in adults with severe sepsis: Comparison with a controlled clinical trial*. Critical Care Medicine 36:1, 14-23
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Hideo YASUNAGA, Yutaka MATSUYAMA, Kazuhiko OHE, The Japan Neurosurgical Society. (2008) Risk-Adjusted Analyses of the Effects of Hospital and Surgeon Volumes on Postoperative Complications and the Modified Rankin Scale After Clipping of Unruptured Intracranial Aneurysms in Japan. Neurologia medico-chirurgica 48:12, 531-538
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Thomas L. Powers, Eric P. Jack. (2008) Using volume flexible strategies to improve customer satisfaction and performance in health care services. Journal of Services Marketing 22:3, 188-197
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Michael W. Wouters, Bas P. Wijnhoven, Henrieke E. Karim-Kos, Harriet G. Blaauwgeers, Laurents P. Stassen, Willem-Hans Steup, Huug W. Tilanus, Rob A. Tollenaar. (2008) High-Volume versus Low-Volume for Esophageal Resections for Cancer: The Essential Role of Case-Mix Adjustments based on Clinical Data. Annals of Surgical Oncology 15:1, 80-87
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Bruce Lee Hall, Mitzi Hirbe, Brian Waterman, Sarah Boslaugh, Wm Claiborne Dunagan. (2007) Comparison of Mortality Risk Adjustment Using a Clinical Data Algorithm (American College of Surgeons National Surgical Quality Improvement Program) and an Administrative Data Algorithm (Solucient) at the Case Level Within a Single Institution. Journal of the American College of Surgeons 205:6, 767-777
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Y. Nancy You, Geoffrey B. Thompson, William F. Young, Dirk Larson, David R. Farley, Melanie Richards, Clive S. Grant. (2007) Pancreatoduodenal surgery in patients with multiple endocrine neoplasia type 1: Operative outcomes, long-term function, and quality of life. Surgery 142:6, 829-836.e1
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Julie Ann Sosa, Pritesh J. Mehta, Tracy S. Wang, Heather L. Yeo, Sanziana A. Roman. (2007) Racial Disparities in Clinical and Economic Outcomes From Thyroidectomy. Annals of Surgery 246:6, 1083-1091
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Alexandra I. Stavrakis, Philip H.G. Ituarte, Clifford Y. Ko, Michael W. Yeh. (2007) Surgeon volume as a predictor of outcomes in inpatient and outpatient endocrine surgery. Surgery 142:6, 887-899
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Emily L. Young, Peter J.E. Holt, Jan D. Poloniecki, Ian M. Loftus, Matt M. Thompson. (2007) Meta-analysis and systematic review of the relationship between surgeon annual caseload and mortality for elective open abdominal aortic aneurysm repairs. Journal of Vascular Surgery 46:6, 1287-1294
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Julie Ann Sosa, Tracy S. Wang, Heather L. Yeo, Pritesh J. Mehta, Leon Boudourakis, Robert Udelsman, Sanziana A. Roman. (2007) The maturation of a specialty: Workforce projections for endocrine surgery. Surgery 142:6, 876-883
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Takehiro Okabayashi, Michiya Kobayashi, Isao Nishimori, Takeki Sugimoto, Saburo Onishi, Kazuhiro Hanazaki. (2007) Risk factors, predictors and prevention of pancreatic fistula formation after pancreatoduodenectomy. Journal of Hepato-Biliary-Pancreatic Surgery 14:6, 557-563
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Valerie A. Williams, Thomas J. Watson, Fernando A. Herbella, Oliver Gellersen, Daniel Raymond, Carolyn Jones, Jeffrey H. Peters. (2007) Esophagectomy for High Grade Dysplasia is Safe, Curative, and Results in Good Alimentary Outcome. Journal of Gastrointestinal Surgery 11:12, 1589-1597
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Shimul A. Shah, Rudy Bromberg, Angela Coates, Eddy Rempel, Marko Simunovic, Steven Gallinger. (2007) Survival after Liver Resection for Metastatic Colorectal Carcinoma in a Large Population. Journal of the American College of Surgeons 205:5, 676-683
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David S. Morris, David C. Miller, John M. Hollingsworth, Rodney L. Dunn, William W. Roberts, J. Stuart Wolf, Brent K. Hollenbeck. (2007) Differential Adoption of Laparoscopy by Treatment Indication. The Journal of Urology 178:5, 2109-2113
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W. B. Weeks, A. N. West, A. E. Wallace, R. E. Lee, D. C. Goodman, J. B. Dimick, J. P. Bagian. (2007) Reducing Avoidable Deaths Among Veterans: Directing Private-Sector Surgical Care to High-Performance Hospitals. American Journal of Public Health 97:12, 2186-2192
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S. Patel, M. Orloff, G. Tsoulfas, R. Kashyap, A. Jain, A. Bozorgzadeh, P. Abt. (2007) Living-Donor Liver Transplantation in the United States: Identifying Donors at Risk for Perioperative Complications. American Journal of Transplantation 7:10, 2344-2349
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KATHLEEN CAREY, JAMES F. BURGESS, JR, GARY J. YOUNG. (2007) Specialization and physician-ownership in the US hospital industry: beyond the moratorium. Health Economics, Policy and Law 2:04,
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Balazs Nemes, Wojtek Polak, Gabor Ther, Herman Hendriks, Laszlo Kobori, Robert J. Porte, Eniko Sarvary, Koert P. de Jong, Attila Doros, Zsuzsa Gerlei, Aad P van den Berg, Imre Fehervari, Denes Gorog, Paul M. Peeters, Jeno Jaray, Maarten J. H Slooff. (2006) Analysis of differences in outcome of two European liver transplant centers. Transplant International 19:5, 372-380
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BRENT K. HOLLENBECK, DAVID A. TAUB, DAVID C. MILLER, RODNEY L. DUNN, JAMES E. MONTIE, JOHN T. WEI. (2005) THE REGIONALIZATION OF RADICAL CYSTECTOMY TO SPECIFIC MEDICAL CENTERS. The Journal of Urology 174:4, 1385-1389
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Philip P Goodney, Gerald T O'Connor, David E Wennberg, John D Birkmeyer. (2003) Do hospitals with low mortality rates in coronary artery bypass also perform well in valve replacement?. The Annals of Thoracic Surgery 76:4, 1131-1137
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Justin B Dimick, Peter J Pronovost, John A Cowan, Pamela A Lipsett, James C Stanley, Gilbert R Upchurch. (2003) Variation in postoperative complication rates after high-risk surgery in the United States. Surgery 134:4, 534-540
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Arthur M. Lam. (2003) SNACC Should Develop Neuroanesthesia Practice Guidelines: The Specialty Needs It, the Patient Deserves It, and the Third Party Will Soon Demand It. Journal of Neurosurgical Anesthesiology 15:4, 334-336
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Michael Y. Chang, David J. Sugarbaker. (2003) Surgery for early stage non-small cell lung cancer. Seminars in Surgical Oncology 21:2, 74-84
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J Dimick. (2003) Hospital volume and surgical outcomes for elderly patients with colorectal cancer in the United States. Journal of Surgical Research 114:1, 50-56
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Peter C Wu, Mitchell C Posner. (2003) The role of surgery in the management of oesophageal cancer. The Lancet Oncology 4:8, 481-488
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Fred G. Barker, Bob S. Carter, Robert G. Ojemann, Robert W. Jyung, Dennis S. Poe, Michael J. McKenna. (2003) Surgical Excision of Acoustic Neuroma: Patient Outcome and Provider Caseload. The Laryngoscope 113:8, 1332-1343
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Ann M. O'Hare, R. Adams Dudley, Denise M. Hynes, Charles E. Mcculloch, Daniel Navarro, Philip Colin, Kevin Stroupe, Joseph Rapp, Kirsten L. Johansen. (2003) Impact of surgeon and surgical center characteristics on choice of permanent vascular access. Kidney International 64:2, 681-689
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Philip P. Goodney, Therese A. Stukel, F. Lee Lucas, Emily V.A. Finlayson, John D. Birkmeyer. (2003) Hospital Volume, Length of Stay, and Readmission Rates in High-Risk Surgery. Annals of Surgery 238:2, 161-167
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N.V Dias, K Ivancev, M Malina, T Resch, B Lindblad, B Sonesson. (2003) Does the Wide Application of Endovascular AAA Repair Affect the Results of Open Surgery?. European Journal of Vascular and Endovascular Surgery 26:2, 188-194
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Jerome H Liu, David A Etzioni, Jessica B O'Connell, Melinda A Maggard, Clifford Y Ko. (2003) Using Volume Criteria: Do California Hospitals Measure Up?. Journal of Surgical Research 113:1, 96-101
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Joel B. Braunstein. (2003) Defining quality diabetes care in the new health system. Current Diabetes Reports 3:4, 269-271
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Ross A Abrams. (2003) Adjuvant therapy for pancreatic adenocarcinoma: what have we learned since 1985?. International Journal of Radiation Oncology*Biology*Physics 56:4, 3-9
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Gregory G. Ginsberg. (2003) Endoluminal therapy for Barrett’s with high-grade dysplasia and early esophageal adenocarcinoma. Clinical Gastroenterology and Hepatology 1:4, 241-245
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Malcolm M DeCamp, Thomas W Rice, David J Adelstein, Mark A Chidel, Lisa A Rybicki, Sudish C Murthy, Eugene H Blackstone. (2003) Value of accelerated multimodality therapy in stage IIIA and IIIB non–small cell lung cancer. The Journal of Thoracic and Cardiovascular Surgery 126:1, 17-25
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Rodney J Pacifico, Kenneth K Wang, Louis-michel Wongkeesong, Navtej S Buttar, Lori S Lutzke. (2003) Combined endoscopic mucosal resection and photodynamic therapy versus esophagectomy for management of early adenocarcinoma in Barrett’s esophagus. Clinical Gastroenterology and Hepatology 1:4, 252-257
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Ian A. Herrick. (2003) Cerebrovascular disease. Current Opinion in Anaesthesiology 16:3, 337-342
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Burkhard H. A. Rahden, Hubert J. Stein, Jörg R. Siewert. (2003) Barrett’s esophagus and Barrett’s carcinoma. Current Oncology Reports 5:3, 203-209
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Steven N. Kalkanis, Emad N. Eskandar, Bob S. Carter, Fred G. Barker. (2003) Microvascular Decompression Surgery in the United States, 1996 to 2000: Mortality Rates, Morbidity Rates, and the Effects of Hospital and Surgeon Volumes. Neurosurgery 52:6, 1251-1262
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Petersen, Laura A., Normand, Sharon-Lise T., Leape, Lucian L., McNeil, Barbara J., . (2003) Regionalization and the Underuse of Angiography in the Veterans Affairs Health Care System as Compared with a Fee-for-Service System. New England Journal of Medicine 348:22, 2209-2217
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T. J. Smith, B. E. Hillner, H. D. Bear. (2003) Taking Action on the Volume-Quality Relationship: How Long Can We Hide Our Heads in the Colostomy Bag?. JNCI Journal of the National Cancer Institute 95:10, 695-697
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D. C. Hodgson, W. Zhang, A. M. Zaslavsky, C. S. Fuchs, W. E. Wright, J. Z. Ayanian. (2003) Relation of Hospital Volume to Colostomy Rates and Survival for Patients With Rectal Cancer. JNCI Journal of the National Cancer Institute 95:10, 708-716
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Ronald V. Maier. (2003) Trauma: The Paradigm for Medical Care in the 21st Century. The Journal of Trauma: Injury, Infection, and Critical Care 54:5, 803-813
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Fred G. Barker, Sepideh Amin-Hanjani, William E. Butler, Christopher S. Ogilvy, Bob S. Carter. (2003) In-hospital Mortality and Morbidity after Surgical Treatment of Unruptured Intracranial Aneurysms in the United States, 1996–2000: The Effect of Hospital and Surgeon Volume. Neurosurgery 52:5, 995-1009
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D. Neal. (2003) Recommendations for Urological Cancers Issued by NICE. Clinical Oncology 15:2, 57-58
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Pierre Antoine Fuentes. (2003) Pneumonectomy: historical perspective and prospective insight. European Journal of Cardio-Thoracic Surgery 23:4, 439-445
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D.M.A. Wallace. (2003) Recommendations for Urological Cancers Issued by NICE. Clinical Oncology 15:2, 55-56
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Frederick L. Grover, Mark L. Barr, Leah B. Edwards, Fernando J. Martinez, Richard N. Pierson, Bruce R. Rosengard, Susan Murray. (2003) Thoracic transplantation. American Journal of Transplantation 3:s4, 91-102
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Karsten Münstedt, Richard von Georgi, B.jörn Misselwitz, Marek Zygmunt, Rosi Stillger, Wolfgang Künzel. (2003) Centralizing surgery for gynecologic oncology—A strategy assuring better quality treatment?. Gynecologic Oncology 89:1, 4-8
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James W. Orr. (2003) What constitutes the “optimal” treatment environment of women with gynecologic cancer?. Gynecologic Oncology 89:1, 1-3
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Peter W.T. Pisters, Jeffrey E. Lee, J. Nicolas Vauthey, Douglas B. Evans. (2003) LETTER TO THE EDITOR. Annals of Surgery 237:4, 594-595
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D. J. Gouma, H. Obertop. (2003) LETTER TO THE EDITOR. Annals of Surgery 237:4, 595-596
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(2003) Surgical Treatment of Esophageal Cancer. New England Journal of Medicine 348:12, 1177-1179
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Bruce W. Robb, Richard J. Kagan. (2003) Outpatient and Emergency Department Management of Thermal Injuries. Problems in General Surgery 20:1, 7-15
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David M Shahian, Sharon-Lise T Normand. (2003) The volume-outcome relationship: from Luft to Leapfrog. The Annals of Thoracic Surgery 75:3, 1048-1058
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Timothy D. Costich, Frederick C. Lee. (2003) Improving Cancer Care in a Kentucky Managed Care Plan: A Case Study of Cancer Disease Management. Disease Management 6:1, 9-20
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C. A. Beam, E. F. Conant, E. A. Sickles. (2003) Association of Volume and Volume-Independent Factors With Accuracy in Screening Mammogram Interpretation. JNCI Journal of the National Cancer Institute 95:4, 282-290
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M. O. Bachmann, D. Alderson, T. J. Peters, C. Bedford, D. Edwards, S. Wotton, I. M. Harvey. (2003) Influence of specialization on the management and outcome of patients with pancreatic cancer. British Journal of Surgery 90:2, 171-177
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Justin B Dimick, Peter J Pronovost, John A Cowan, Pamela A Lipsett. (2003) Surgical volume and quality of care for esophageal resection: do high-volume hospitals have fewer complications?. The Annals of Thoracic Surgery 75:2, 337-341
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Caprice K. Christian, Michael L. Gustafson, Rebecca A. Betensky, Jennifer Daley, Michael J. Zinner. (2003) The Leapfrog Volume Criteria May Fall Short in Identifying High-Quality Surgical Centers. Transactions of the ... Meeting of the American Surgical Association 121, 140-150
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Mark A. Callahan, Paul J. Christos, Heather T. Gold, Alvin I. Mushlin, John M. Daly. (2003) Influence of Surgical Subspecialty Training on In-Hospital Mortality for Gastrectomy and Colectomy Patients. Transactions of the ... Meeting of the American Surgical Association 121, 322-332
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John A. Cowan, Justin B. Dimick, Jean-Christophe Leveque, B. Gregory Thompson, Gilbert R. Upchurch, Julian T. Hoff. (2003) The Impact of Provider Volume on Mortality after Intracranial Tumor Resection. Neurosurgery 52:1, 48-54
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James D. Luketich, Miguel Alvelo-Rivera, Percival O. Buenaventura, Neil A. Christie, James S. McCaughan, Virginia R. Litle, Philip R. Schauer, John M. Close, Hiran C. Fernando. (2003) Minimally Invasive Esophagectomy. Transactions of the ... Meeting of the American Surgical Association 121, 179-188
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Kristin A. Skinner, James T. Helsper, Dennis Deapen, Wei Ye, Richard Sposto. (2003) Breast Cancer: Do Specialists Make a Difference?. Annals of Surgical Oncology 10:6, 606-615
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Bob Haward, Adrian Crellin, John Fielding. (2003) Guidelines for treatment of upper gastrointestinal cancer. The Lancet 361:9351, 80-81
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Jason A. London, Felix D. Battistella. (2003) Is There a Relationship between Trauma Center Volume and Mortality?. The Journal of Trauma: Injury, Infection, and Critical Care 54:1, 16-25
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Blendon, Robert J., DesRoches, Catherine M., Brodie, Mollyann, Benson, John M., Rosen, Allison B., Schneider, Eric, Altman, Drew E., Zapert, Kinga, Herrmann, Melissa J., Steffenson, Annie E., . (2002) Views of Practicing Physicians and the Public on Medical Errors. New England Journal of Medicine 347:24, 1933-1940
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John D. Birkmeyer. (2002) Raising the bar for pancreaticoduodenectomy. Annals of Surgical Oncology 9:9, 826-827
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J.P. Neoptolemos. (2002) Pancreatic cancer — A major health problem requiring centralization and multi-disciplinary team-work for improved results. Digestive and Liver Disease 34:10, 692-695
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M RICCI, R BEARDALL. (2002) Documentation of competency: Maintaining an outcomes database. Seminars in Vascular Surgery 15:3, 191-197
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(2002) Volume and Outcome. New England Journal of Medicine 347:9, 693-696
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Philip P Goodney, Andrea E Siewers, Therese A Stukel, F.Lee Lucas, David E Wennberg, John D Birkmeyer. (2002) Is surgery getting safer? National trends in operative mortality1,2 1No competing interests declared. 2The views expressed herein do not necessarily represent the views of the Department of Veterans Affairs or the United States Government.. Journal of the American College of Surgeons 195:2, 219-227
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Theresa Pluth Yeo, Ralph H Hruban, Steven D Leach, Robb E Wilentz, Taylor A Sohn, Scott E Kern, Christine A Iacobuzio-Donahue, Anirban Maitra, Michael Goggins, Marcia I Canto, Ross A Abrams, Daniel Laheru, Elizabeth M Jaffee, Manuel Hidalgo, Charles J Yeo. (2002) Pancreatic cancer. Current Problems in Cancer 26:4, 176-275
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Denny Z. H. Levett, Michael P W. Grocott, Michael G. Mythen. (2002) The Effects of Fluid Optimization on Outcome Following Major Surgery. Transfusion Alternatives in Transfusion Medicine 4:3, 74-79
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Epstein, Arnold M., . (2002) Volume and Outcome — It Is Time to Move Ahead. New England Journal of Medicine 346:15, 1161-1164
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