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Scientific Article   |    
Association Between Hospital and Surgeon Procedure Volume and Outcomes of Total Hip Replacement in the United States Medicare Population*
Jeffrey N. Katz, MD, MS; Elena Losina, PhD; Jane Barrett, MSc; Charlotte B. Phillips, RN, MPH; Nizar N. Mahomed, MD, ScD; Robert A. Lew, PhD; Edward Guadagnoli, PhD; William H. Harris, MD; Robert Poss, MD; John A. Baron, MD, MPH
The Journal of Bone & Joint Surgery.  2001; 83:1622-1629 
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Abstract

Background: The mortality and complication rates of many surgical procedures are inversely related to hospital procedure volume. The objective of this study was to determine whether the volumes of primary and revision total hip replacements performed at hospitals and by surgeons are associated with rates of mortality and complications.

Methods: We analyzed claims data of Medicare recipients who underwent elective primary total hip replacement (58,521 procedures) or revision total hip replacement (12,956 procedures) between July 1995 and June 1996. We assessed the relationship between surgeon and hospital procedure volume and mortality, dislocation, deep infection, and pulmonary embolus in the first ninety days postoperatively. Analyses were adjusted for age, gender, arthritis diagnosis, comorbid conditions, and income. Analyses of hospital volume were adjusted for surgeon volume, and analyses of surgeon volume were adjusted for hospital volume.

Results: Twelve percent of all primary total hip replacements and 49% of all revisions were performed in centers in which ten or fewer of these procedures were carried out in the Medicare population annually. In addition, 52% of the primary total hip replacements and 77% of the revisions were performed by surgeons who carried out ten or fewer of these procedures annually. Patients treated with primary total hip replacement in hospitals in which more than 100 of the procedures were performed per year had a lower risk of death than those treated with primary replacement in hospitals in which ten or fewer procedures were performed per year (mortality rate, 0.7% compared with 1.3%; adjusted odds ratio, 0.58; 95% confidence interval, 0.38, 0.89). Patients treated with primary total hip replacement by surgeons who performed more than fifty of those procedures in Medicare beneficiaries per year had a lower risk of dislocation than those who were treated by surgeons who performed five or fewer of the procedures per year (dislocation rate, 1.5% compared with 4.2%; adjusted odds ratio, 0.49; 95% confidence interval, 0.34, 0.69). Patients who had revision total hip replacement done by surgeons who performed more than ten such procedures per year had a lower rate of mortality than patients who were treated by surgeons who performed three or fewer of the procedures per year (mortality rate, 1.5% compared with 3.1%; adjusted odds ratio, 0.65; 95% confidence interval, 0.44, 0.96).

Conclusions: Patients treated at hospitals and by surgeons with higher annual caseloads of primary and revision total hip replacement had lower rates of mortality and of selected complications. These analyses of Medicare claims are limited by a lack of key clinical information such as operative details and preoperative functional status.

Figures in this Article
    Total hip replacement relieves pain and improves function in the great majority of patients with disabling hip arthritis who undergo the procedure1. Most reports of the results of total hip replacements are based on series from centers with a high annual volume of such procedures; the outcomes in low-volume centers have received little study.
    Both greater hospital procedure volume2 and greater surgeon (or operator) procedure volume3-7 have been associated with lower rates of mortality and/or complications following several surgical procedures. The outcomes in hospitals in which a higher volume of patients with specific complex medical conditions have been treated8-11 also have been better than those in hospitals in which fewer such patients have been treated.
    Prior studies of the association between the volume of total hip replacements performed at hospitals and by surgeons and the outcomes of those procedures have had notable methodological limitations. These have included failure of the investigators to examine both surgeon and hospital procedure volume12-14 or to consider revision total hip replacement12,13, relatively small samples15,16, and inadequate adjustment for case mix12,14. Nonetheless, programs have been proposed to restrict total hip replacement in the Medicare population to higher-volume centers17. We examined associations between hospital and surgeon volume and mortality and complications occurring ninety days following primary and revision hip replacement. Our analyses accounted for clinical and sociodemographic factors and assessed the distinct contributions of hospital and surgeon volume to these outcomes.
     
    Anchor for JumpAnchor for JumpTABLE I:  Baseline Characteristics of Medicare Beneficiaries Treated with Primary and Revision Total Hip Replacement from July 1995 through June 1996
    *The values are given as the number of patients, with the percentage in parentheses.
    Baseline CharacteristicsPrimary Arthroplasty (N = 58,521)Revision Arthroplasty (N = 12,956)
    Male*21,041 (36.0%)4876 (37.6%)
    Caucasian*55,081 (94.1%)12,141 (93.7%)
    >1 comorbidity*8076 (13.8%)2282 (17.6%)
    >75 yr old*23,148 (39.6%)6153 (47.5%)
    Mean age (and standard deviation) (yr)74.3 ± 6.075.6 ± 6.5
     
    Anchor for JumpAnchor for JumpTABLE II:  Select Outcomes of Primary and Revision Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996
    *The values are given as the number of patients, with the percentage in parentheses.
    Outcome (£90 Days Postop.)Primary Arthroplasty* (N = 58,521)Revision Arthroplasty* (N = 12,956)
    Death557 (0.95%)319 (2.46%)
    Dislocation1834 (3.13%)1077 (8.31%)
    Deep infection137 (0.23%)124 (0.96%)
    Pulmonary embolus542 (0.93%)101 (0.78%)
     
    Anchor for JumpAnchor for JumpTABLE III:  Distribution, According to Hospital and Surgeon Procedure Volumes, of Primary Total Hip Replacements* Performed in Medicare Beneficiaries from July 1995 through June 1996
    *N = 57,488. The sample size is smaller than in Table I (n = 58,521) because data on surgeon volume were missing for about 2% of the cases.
    Hospital VolumeSurgeon Volume
    1-56-1011-2526-50>50Total
    1-107.3%3.2%1.0%0.1%0.0%11.5%
    11-259.1%8.4%6.5%0.3%0.1%24.4%
    26-507.0%7.2%11.2%2.6%0.3%28.4%
    51-1003.8%4.9%8.9%6.4%1.7%25.6%
    >1000.7%0.9%2.3%2.2%3.9%10.1%
    Total27.9%24.6%29.9%11.6%6.0%100%
     
    Anchor for JumpAnchor for JumpTABLE IV:  Distribution, According to Hospital and Surgeon Procedure Volumes, of Revision Total Hip Replacements* Performed in Medicare Beneficiaries from July 1995 through June 1996
    *N = 12,724. The total sample size is smaller than in Table I (n = 12,956) because data on surgeon volume were missing for about 2% of the cases.
      Hospital VolumeSurgeon Volume
    1-34-10>10Total
    1-522.1%4.0%0.3%26.4%
    6-1011.8%10.1%0.7%22.6%
    11-259.4%13.1%8.3%30.7%
    26-501.5%3.7%7.0%12.2%
    >500.4%1.1%6.6%8.0%
    Total45.3%31.8%22.9%100%
     
    Anchor for JumpAnchor for JumpTABLE V:  Associations Between Hospital and Surgeon Procedure Volumes and Select Outcomes of Primary Total Hip Replacements in Medicare Beneficiaries Treated from July 1995 through June 1996
    *Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis. In addition, the odds ratios for hospital volume are adjusted for surgeon volume, and the odds ratios for surgeon volume are adjusted for hospital volume.
    OutcomeHospitalSurgeon
    Annual Volume of Primary Hip ReplacementsRate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)Annual Volume of Primary Hip Replacements Rate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)
    Mortality?1-101.3%1.0?1-51.1%1.0
    11-251.0%0.82 (0.62, 1.07)?6-101.0%0.98 (0.78, 1.23)
    26-500.9%0.72 (0.54, 0.95)11-250.9%0.97 (0.77, 1.22)
    51-1000.9%0.68 (0.51, 0.92)26-500.8%1.10 (0.95, 1.54)
    >1000.7%0.58 (0.38, 0.89)>500.7%0.95 (0.56, 1.62)
    Dislocation?1-104.4%1.0?1-54.2%1.0
    11-253.8%0.96 (0.82, 1.17)?6-103.4%0.85 (0.76, 0.96)
    26-502.9%0.79 (0.67, 0.93)11-252.6%0.68 (0.59, 0.78)
    51-1002.5%0.72 (0.60, 0.87)26-502.4%0.68 (0.54, 0.86)
    >1002.2%0.77 (0.58, 1.03)>501.5%0.49 (0.34, 0.69
    Deep infection?1-100.4%1.0?1-50.3%1.0
    11-250.3%0.84 (0.52, 1.37)?6-100.3%0.90 (0.59, 1.37)
    26-500.2%0.56 (0.33, 0.96)11-250.2%0.80 (0.51, 1.26)
    51-1000.2%0.74 (0.42, 1.32)26-500.1%0.64 (0.30, 1.36)
    >1000.1%0.52 (0.22, 1.22)>500.1%0.28 (0.07, 1.11)
    Pulmonary embolus?1-101.1%1.0?1-51.0%1.0
    11-251.0%0.86 (0.64, 1.15)?6-101.0%0.98 (0.78, 1.23)
    26-501.0%0.89 (0.66, 1.21)11-250.9%0.91 (0.72, 1.14)
    51-1000.8%0.83 (0.60, 1.14)26-500.7%0.75 (0.51, 1.08)
    >1000.8%0.79 (0.51, 1.23)>500.7%0.73 (0.44, 1.21)
     
    Anchor for JumpAnchor for JumpTABLE VI:  Risk of Dislocation Associated with Surgeon Volume of Primary Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996, Stratified by Hospital Volume*
    *The results were restricted to hospitals in which more than twenty-five elective primary total hip replacements were performed in Medicare beneficiaries from July 1995 through June 1996. †Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis.
    Hospital VolumeSurgeon VolumeDislocation
    RateAdjusted Odds Ratio† (95% Confidence Interval)
    26-50?1-53.7%1.0
    ?6-103.0%0.83 (0.66, 1.05)
    11-252.5%0.69 (0.54, 0.89)
    26-502.9%0.84 (0.53, 1.31)
    >501.3%0.34 (0.10, 1.13)
    51-100?1-53.2%1.0
    ?6-103.4%1.1 (0.81, 1.45)
    11-252.2%0.70 (0.52, 0.95)
    26-502.1%0.65 (0.46, 0.92)
    >501.1%0.33 (0.19, 0.59)
    >100?1-52.5%1.0
    ?6-102.5%1.2 (0.57, 2.45)
    11-252.6%1.2 (0.61, 2.20)
    26-502.6%1.2 (0.68, 2.20)
    >501.7%0.95 (0.51, 1.77)
     
    Anchor for JumpAnchor for JumpTABLE VII:  Associations Between Hospital and Surgeon Procedure Volumes and Select Outcomes of Revision Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996
    *Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis. In addition, the odds ratios for hospital volume are adjusted for surgeon volume, and the odds ratios for surgeon volume are adjusted for hospital volume.
    OutcomeHospitalSurgeon
    Annual Volume of Revision Hip ReplacementsRate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)Annual Volume of Revision Hip Replacements Rate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)
    Mortality?1-53.5%1.01-33.1%1.0
    ?6-102.6%0.85 (0.62, 1.15)4-102.2%0.78 (0.59, 1.03)
    11-252.1%0.74 (0.54, 1.00)>101.5%0.65 (0.44, 0.96)
    26-501.5%0.67 (0.40, 1.11)
    >501.8%0.85 (0.43, 1.67)
    Dislocation?1-59.8%1.01-39.1%1.0
    ?6-108.6%0.90 (0.75, 1.08)4-108.7%1.04 (0.89, 1.21)
    11-258.4%0.90 (0.75, 1.09)>106.1%0.84 (0.67, 1.06)
    26-507.0%0.75 (0.56, 1.02)
    >504.2%0.45 (0.30, 0.66)
    Deep infection?1-50.9%1.01-31.0%1.0
    ?6-101.1%1.31 (0.78, 2.21)4-101.0%0.97 (0.61, 1.55)
    11-251.0%1.39 (0.84, 2.31)>100.7%0.64 (0.33, 1.24)
    26-500.9%1.36 (0.64, 2.92)
    >500.5%0.78 (0.29, 2.10)
    Pulmonary embolus?1-50.7%1.01-30.7%1.0
    ?6-101.1%1.63 (0.94, 2.81)4-101.0%1.44 (0.89, 2.34)
    11-250.7%1.01 (0.54, 1.90)>100.6%1.00 (0.53, 1.90)
    26-500.5%0.67 (0.29, 1.57)
    >500.7%0.91 (0.40, 2.06)

    Data Sources

    We used claims data from July 1995 through June 1996 for the entire Medicare-beneficiary population to identify cases of primary and revision total hip replacement and selected outcomes. Hospital and outpatient facility claims contain diagnosis and procedure codes, classified according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)18. Physician claims contain procedure codes utilizing the Current Procedural Terminology (CPT), Fourth Edition19. The Medicare Unique Physican Identification Number (UPIN) assigned to each surgeon permitted surgeon-level analyses. The 1995 American Hospitals Association Survey20 provided data on selected hospital characteristics.

    Sample

    We identified all Medicare beneficiaries with codes, on surgeon or hospital claims, indicating that they had had elective primary or revision total hip replacement between July 1, 1995, and June 30, 1996, in a hospital in the United States. We excluded patients who were less than sixty-five years old and those with codes indicating infection of the hip, metastatic or bone cancer, conversion of hemiarthroplasty (or other hip surgery) to total hip replacement, or fracture of the hip or femur. For the analysis of revision total hip replacement, we excluded patients with fracture associated with cancer. We also excluded patients enrolled in a health maintenance organization, since capitated health maintenance organizations do not routinely submit claims to the Health Care Financing Administration. In addition, we excluded patients who were not enrolled in both parts of Medicare and those who were not residents of the United States, again because some of these claims could have been missing.
    To examine the validity of our case identification algorithms, trained nurse abstractors reviewed the medical records of a random sample of 1031 (1.8%) of the primary procedures and 671 (5.2%) of the revision procedures identified in the Medicare claims in order to verify whether the procedure was indeed a primary (or revision) hip replacement. The positive predictive values of the algorithms for identification of the primary and revision total hip replacements were 0.99 and 0.92, respectively.

    Sample Characteristics

    The claims for a total of 76,627 patients contained codes indicating that a primary total hip replacement had been done. Of these procedures, 58,521 (76%) met our criteria for elective primary total hip replacement not associated with fracture. The claims for a total of 13,917 patients contained codes indicating that a revision total hip replacement had been done. Of these procedures, 12,956 (93%) met our criteria for elective revision total hip replacement. The patients who had a revision were slightly older and had more comorbid conditions than did those who had a primary hip replacement (Table I). Of the patients who had a primary total hip replacement, 55,002 (94%) had osteoarthritis (coded as an underlying joint disorder), 2115 (3.6%) had rheumatoid arthritis, and 3798 (6.5%) had avascular necrosis. (More than one diagnosis can be listed for a patient.)

    Data Elements

    Outcomes: Outcomes included death, dislocation, deep infection (requiring surgical débridement or removal of the prosthesis), and pulmonary embolus. We included all such outcomes that had occurred within ninety days after admission for the total hip replacement in order to maximize the likelihood that the event was causally related to the hip replacement. (The algorithms for identifying cases and outcomes in claims data are presented as an Appendix in the electronic versions of this paper.)
    Covariates: Covariates obtained from the Medicare claims data included age, gender, race (coded as Caucasian or other), Medicaid eligibility (a surrogate for low income), arthritis diagnosis (osteoarthritis, rheumatoid arthritis, avascular necrosis, or other), and comorbidity index. The comorbidity index was calculated with an adaptation of the Charlson Comorbidity Index, which incorporates data on comorbid conditions documented in claims in the six months prior to and including the date of admission for total hip replacement21,22.
    Hospital and surgeon variables: Hospital and surgeon volume, calculated separately for primary and revision arthroplasty, was the number of procedures meeting our entry criteria that were performed at the institution or by the surgeon in the Medicare population between July 1, 1995, and June 30, 1996. We divided hospital and surgeon volume into clinically sensible categories. We also examined the influence on outcome of the number of years since the surgeon graduated from medical school, an urban compared with a rural location of the hospital, the ratio of nurses to discharges, and the teaching and ownership status of the hospital (for-profit, nonprofit, or public). However, these factors were not found to have any influence and thus were not included in the final models.

    Analyses

    For each outcome, we constructed two sets of multivariate models, one examining the association between outcomes and hospital-volume strata and the other examining the association between outcomes and surgeon-volume strata. The hospital-volume models were adjusted for surgeon volume, and the surgeon-volume models were adjusted for hospital volume. In each model, we adjusted for age, gender, comorbidity index, specific arthritis diagnosis, and Medicaid eligibility indicator. The strength of the association between volume and outcome was expressed with an adjusted odds ratio, and the test for linear trend was performed with an ordinal variable representing the volume stratum.
    We examined more explicitly the simultaneous effects of both hospital and surgeon volume on dislocation following primary total hip replacement. We ran additional logistic regression models of the surgeon effect within each hospital-volume stratum. We carried out these analyses in hospitals in which at least twenty-five primary total hip replacements were performed per year. The analyses could not be carried out in hospitals with smaller caseloads because high-volume surgeons generally do not operate in lower-volume centers. These models were adjusted for the same set of covariates as described above. All analyses were performed with SAS software23. Generalized estimating equations24 were used to adjust for clustering within hospitals in all models.
    Five hundred and fifty-seven (1.0%) of the patients who underwent primary total hip replacement died within ninety days after surgery, and 1834 (3.1%) had a dislocation (Table II). Infection was uncommon, developing in only 137 (0.2%) of the patients. Rates of mortality, dislocation, and infection were higher after the revisions than they were after the primary hip replacements.
    Six thousand seven hundred and seventy-five (12%) of the primary total hip replacements and 6381 (49%) of the revisions were performed in centers in which ten or fewer of these procedures were carried out in the Medicare population during July 1995 through June 1996. Similarly, 30,176 (52%) of the primary total hip replacements and 9809 (77%) of the revisions were performed by surgeons who carried out ten or fewer of these procedures annually in the Medicare population (Tables III and IV). These procedures were rarely carried out by high-volume surgeons in low-volume centers, but occasionally they were carried out by low-volume surgeons in high-volume centers (Tables III and IV).

    Volume and Outcomes of Primary Total Hip Replacement

    Multivariate logistic regression analyses showed hospital volume to be significantly associated with ninety-day rates of mortality and dislocation (p value for trend < 0.01 for each outcome) (Table V). Patients who had primary total hip replacement in hospitals in which more than 100 of those procedures were performed in Medicare beneficiaries per year had a lower rate of mortality than those who had primary replacement in hospitals in which ten or fewer procedures were performed per year (mortality rate, 0.7% compared with 1.3%; adjusted odds ratio, 0.58; 95% confidence interval, 0.38, 0.89). Greater hospital volume was also associated with a lower rate of deep infection, but the trend did not reach significance (p value for trend = 0.09). The adjusted odds ratio of each adverse outcome diminished steadily across the volume categories, without a specific threshold volume at which outcomes changed from better to worse.
    After adjustment for hospital volume, higher surgeon volume was independently associated with a lower rate of dislocation following primary total hip replacement (p value for trend = 0.0001) (Table V). Compared with patients operated on by surgeons who performed five or fewer procedures in the Medicare population per year, those operated on by surgeons who performed more than fifty procedures had a lower rate of dislocation (dislocation rate, 1.5% compared with 4.2%; adjusted odds ratio, 0.49; 95% confidence interval, 0.34, 0.69). Greater surgeon volume had less striking associations with deep infection and pulmonary embolus (p value for trend = 0.03 for infection and 0.06 for pulmonary embolus).
    The association between surgeon volume and risk of dislocation following primary total hip replacement was assessed separately within each of the three largest hospital-volume categories (Table VI). In hospitals in which twenty-six to fifty procedures were performed per year and in those in which fifty-one to 100 procedures were performed per year, the risk of dislocation diminished steadily with greater surgeon volume (p value for trend < 0.01 for each). However, in the highest-volume hospitals (more than 100 cases per year), surgeon volume had no effect on dislocation rate (p value for trend = 0.55).

    Volume and Outcomes of Revision Total Hip Replacement

    The associations between hospital volume and outcomes of revision hip arthroplasty (Table VII) were less striking than the associations observed for primary total hip replacement. A greater hospital volume of revisions was associated with a lower rate of dislocation (p value for trend = 0.005). Multivariate logistic regression analysis showed that patients operated on in hospitals in which more than fifty revisions were performed in Medicare recipients per year had a lower rate of dislocation than patients operated on in hospitals in which five or fewer such operations were performed (dislocation rate, 4.2% compared with 9.8%; adjusted odds ratio, 0.45; 95% confidence interval, 0.30, 0.66).
    A greater surgeon volume of revision total hip replacements was associated with a lower mortality rate (p value for trend = 0.02). Patients who had revision hip replacement by surgeons who performed more than ten revisions in Medicare recipients per year had a lower mortality rate than patients operated on by surgeons who performed three or fewer revisions per year (mortality rate, 1.5% compared with 3.1%; adjusted odds ratio, 0.65; 95% confidence interval, 0.44, 0.96) (Table VII). As was the case for primary arthroplasties, there were no discrete volume thresholds at which the outcomes of revision hip replacement changed; the volume effect was incremental across volume strata.
    We used Medicare claims data to examine the effects of hospital and surgeon procedure volumes on mortality and complications within ninety days following primary and revision total hip replacements in Medicare recipients. After adjustment for surgeon volume as well as age, gender, comorbidity, arthritis diagnosis, and a proxy for low income, higher hospital volume was significantly associated with lower rates of mortality and dislocation after primary total hip replacement (p value for trend < 0.01 for each outcome). Higher surgeon volume was significantly associated with a lower rate of dislocation (p value for trend = 0.0001) and, less strongly, with a lower rate of deep hip infection (p = 0.03). The findings for revision total hip replacement are less precise because of a smaller sample size, but they are generally comparable with those for primary total hip replacement. An important exception is that surgeon volume, but not hospital volume, was associated with mortality following revision hip replacement (p value for trend = 0.02).
    The analyses failed to reveal discrete volume thresholds that distinguished favorable from poor outcomes, but rather they showed a steady trend across all volume strata toward better outcomes associated with higher volume. The effect of surgeon volume was strongest in hospitals with 100 or fewer cases per year; in the largest centers, with more than 100 cases annually, surgeon volume had little effect on outcomes.
    We recognized that there are two reasonable approaches to estimating the annual volume of revision hip replacements performed by a surgeon or in a hospital. One is calculating the number of revisions performed in Medicare beneficiaries by the surgeon or in the hospital during the year. The other is calculating the total volume of hip procedures (both primary and revision replacements) performed by the surgeon or in the hospital during the year. These two variables (revision volume and total volume) were highly correlated (Pearson r = 0.65). If volume is presented as the total number of primary and revision arthroplasties, the distribution of revisions naturally shifts, with a higher proportion done in high-volume centers. The associations between volume and outcome were similar with use of either measure. We presented the results of the analyses based on the volume of revision procedures, as this is a more precise measure of experience with these procedures.
    Despite the superior outcomes in high-volume centers, 6775 (12%) of the primary total hip replacements and 6381 (49%) of the revisions were performed in hospitals in which ten or fewer of the respective procedures were carried out in the Medicare population per year. Similarly, 30,176 (52%) of the primary total hip replacements and 9809 (77%) of the revisions were performed by surgeons who did ten or fewer of these procedures in the Medicare population annually. It is likely that if more procedures were performed in high-volume centers or by high-volume surgeons, there would be fewer deaths and complications2.
    Our results are consistent with those of studies of coronary artery bypass surgery25,26, coronary angioplasty5,7,27,28, carotid endarterectomy4, abdominal aortic resection29, cancer surgery30, complex gastrointestinal surgery31,32, liver transplantation33, cataract surgery34, total knee replacement14,16,35,36, and medical care for a range of conditions including infection by human immunodeficiency virus9, myocardial infarction10, and systemic lupus erythematosus11. In each of these studies, a higher hospital and/or surgeon volume was associated with better outcomes. The mechanisms mediating the effects of hospital and surgeon volume on outcome have not been established and constitute an important research priority.
    An important potential limitation of our analyses is that key factors such as the complexity of the surgery (particularly the revisions) and preoperative and postoperative psychological and physical functional status and pain are not captured in claims data. Exclusion of Medicare patients who belonged to a health maintenance organization may have limited generalizability slightly, but it is unlikely that it introduced bias.
    Our findings offer some support for recommendations to concentrate total hip replacements in high-volume referral centers17 in order to reduce avoidable mortality and morbidity2. However, efforts to regionalize these procedures should take into account several factors. First, the absolute risk of death following total hip replacement remains low (<2% following primary total hip replacement), even in the lowest-volume centers. Some patients would accept greater risk in order to receive care at a nearby hospital rather than a referral center37. The trade-off between the comfort of having surgery at a community center and the better outcomes in referral centers should be examined explicitly. Second, the effects of procedure volume on pain relief, functional improvement, and durability of the implant should be examined to provide a more complete picture of the influence of volume on outcome. Moreover, volume is likely a proxy for a range of hospital, surgeon, and patient-related characteristics and for the processes of care that influence outcome. Research is needed to identify the aspects of the processes of care and the care setting that provide better outcomes. It would be preferable to urge all centers to adapt these features than to simply close low-volume centers. Finally, regionalization may be difficult in areas where some patients might be unable to travel to the referral center. Given the associations between volume and outcome documented in our study, these additional research directions merit high priority.
    Note: The authors are grateful to other members of their Hip Implant Project Team, including Dr. Matthew Liang, Dr. Clement Sledge, Dr. Nelson Greidanus, Dr. Daniel Solomon, Dr. Elizabeth Wright, Anne H. Fossel, Elizabeth Lingard, Andrew Miner, and Heema Kaul, for helpful suggestions and contributions at various stages of this research. They also thank Dr. Edwin Huff and Dr. Lawrence Ramunno for their invaluable assistance in obtaining and interpreting preliminary data for this research.
    The algorithms for identifying cases and outcomes in claims data are available with the electronic versions of this article, on our web site at www.jbjs.org (go to the article citation and click on "Supplementary Material") and on our quarterly CD-ROM (call our subscription department, at 781-449-9780, to order the CD-ROM).
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    Ward MM. Hospital experience and mortality in patients with systemic lupus erythematosus. Arthritis Rheum,1999;42: 891-8. 42891  1999  [PubMed][CrossRef]
     
    Luft HS, Bunker JP,Enthoven AC. Should operations be regionalized? The empirical relation between surgical volume and mortality. N Engl J Med,1979;301: 1364-9. 3011364  1979  [PubMed][CrossRef]
     
    Maerki SC, Luft HS,Hunt SS. Selecting categories of patients for regionalization. Implications of the relationship between volume and outcome. Med Care,1986;24: 148-58. 24148  1986  [PubMed][CrossRef]
     
    Taylor HD, Dennis DA,Crane HS. Relationship between mortality rates and hospital patient volume for Medicare patients undergoing major orthopaedic surgery of the hip, knee, spine, and femur. J Arthroplasty,1997;12: 235-42. 12235  1997  [PubMed][CrossRef]
     
    Kreder HJ, Deyo RA, Koepsell T, Swiontkowski MF,Kreuter W. Relationship between the volume of total hip replacements performed by providers and the rates of postoperative complications in the state of Washington. J Bone Joint Surg Am,1997;79: 485-94. 79485  1997  [PubMed]
     
    Lavernia CJ,Guzman JF. Relationship of surgical volume to short-term mortality, morbidity, and hospital charges in arthroplasty. J Arthroplasty,1995;10: 133-40. 10133  1995  [PubMed][CrossRef]
     
    HCFA invites 84 hospitals to apply for joint project. Orthop Today,1997;17: 1, 8. 171  1997 
     
    St. Anthony’s ICD-9-CM code book for physician payment. Vols 1 and 2. Alexandria, VA: St. Anthony Publishing; 1993 
     
    American Medical Association. CPT 1993. Physicians’ current procedural terminology. Chicago: American Medical Association; 1993 
     
    American Hospitals Association. 1995 survey of hospitals. Chicago: American Hospital Association; 1996 
     
    Charlson ME, Pompei P, Ales KL,MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis,1987;40: 373-83. 40373  1987  [PubMed][CrossRef]
     
    Romano PS, Roos LL,Jollis JG. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol,1993;46: 1075-9. discussion 1081-90461075  1993  [PubMed][CrossRef]
     
    SAS Institute. SAS/STAT user’s guide, release 6.03. Cary, NC: SAS Institute; 1988. 
     
    Diggle PJ, Liang K-Y, Zeger SL. Analysis of longitudinal data. New York: Oxford University Press; 1995. p 151-3. 
     
    Grumbach K, Anderson GM, Luft HS, Roos LL,Brook R. Regionalization of cardiac surgery in the United States and Canada. Geographic access, choice, and outcomes. JAMA,1995;274: 1282-8. 2741282  1995  [PubMed][CrossRef]
     
    Showstack JA, Rosenfeld KE, Garnick DW, Luft HS, Schaffarzick RW,Fowles J. Association of volume with outcome of coronary artery bypass graft surgery. Scheduled vs nonscheduled operations. JAMA,1987;257: 785-9. 257785  1987  [PubMed][CrossRef]
     
    Jollis JG, Peterson ED, DeLong ER, Mark DB, Collins SR, Muhlbaier LH,Pryor DB. The relation between the volume of coronary angioplasty procedures at hospitals treating Medicare beneficiaries and short-term mortality. N Engl J Med,1994;331: 1625-9. 3311625  1994  [PubMed][CrossRef]
     
    Kimmel SE, Berlin JA,Laskey WK. The relationship between coronary angioplasty procedure volume and major complications. JAMA,1995;274: 1137-42. 2741137  1995  [PubMed][CrossRef]
     
    Manheim LM, Sohn MW, Feinglass J, Ujiki M, Parker MA,Pearce WH. Hospital vascular surgery volume and procedure mortality rates in California, 1982-1994. J Vasc Surg,1998;28: 45-56. discussion 56-82845  1998  [PubMed][CrossRef]
     
    Begg CB, Cramer LD, Hoskins WJ,Brennan MF. Impact of hospital volume on operative mortality for major cancer surgery. JAMA,1998;280: 1747-51. 2801747  1998  [PubMed][CrossRef]
     
    Gordon TA, Bowman HM, Tielsch JM, Bass EB, Burleyson GP,Cameron JL. Statewide regionalization of pancreaticoduodenectomy and its effect on in-hospital mortality. Ann Surg,1998;228: 71-8. 22871  1998  [PubMed][CrossRef]
     
    Imperato PJ, Nenner RP, Starr HA, Will TO, Rosenberg CR,Dearie MB. The effects of regionalization on clinical outcomes for a high risk surgical procedure: a study of the Whipple procedure in New York State. Am J Med Qual,1996;11: 193-7. 11193  1996  [PubMed][CrossRef]
     
    Edwards EB, Roberts JP, McBride MA, Schulak JA,Hunsicker LG. The effect of the volume of procedures at transplantation centers on mortality after liver transplantation. N Engl J Med,1999;341: 2049-53. 3412049  1999  [PubMed][CrossRef]
     
    Ninn-Pedersen K,Stenevi U. Cataract surgery in a Swedish popu- lation: observations and complications. J Cataract Refract Surg,1996;22: 1498-505. 221498  1996  [PubMed]
     
    Heck DA, Robinson RL, Partridge CM, Lubitz RM,Freund DA. Patient outcomes after knee replacement. Clin Orthop,1998;356: 93-110. 35693  1998  [PubMed][CrossRef]
     
    Norton EC, Garfinkel SA, McQuay LJ, Heck DA, Wright JG, Dittus R,Lubitz RM. The effect of hospital volume on the in-hospital complication rate in knee replacement patients. Health Serv Res,1998;33: 1191-210. 331191  1998  [PubMed]
     
    Finlayson SR, Birkmeyer JD, Tosteson AN,Nease RF Jr. Patient preferences for location of care: implications for regionalization. Med Care,1999;37: 204-9. 37204  1999  [PubMed][CrossRef]
     

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    Anchor for JumpAnchor for JumpTABLE I:  Baseline Characteristics of Medicare Beneficiaries Treated with Primary and Revision Total Hip Replacement from July 1995 through June 1996
    *The values are given as the number of patients, with the percentage in parentheses.
    Baseline CharacteristicsPrimary Arthroplasty (N = 58,521)Revision Arthroplasty (N = 12,956)
    Male*21,041 (36.0%)4876 (37.6%)
    Caucasian*55,081 (94.1%)12,141 (93.7%)
    >1 comorbidity*8076 (13.8%)2282 (17.6%)
    >75 yr old*23,148 (39.6%)6153 (47.5%)
    Mean age (and standard deviation) (yr)74.3 ± 6.075.6 ± 6.5
    Anchor for JumpAnchor for JumpTABLE II:  Select Outcomes of Primary and Revision Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996
    *The values are given as the number of patients, with the percentage in parentheses.
    Outcome (£90 Days Postop.)Primary Arthroplasty* (N = 58,521)Revision Arthroplasty* (N = 12,956)
    Death557 (0.95%)319 (2.46%)
    Dislocation1834 (3.13%)1077 (8.31%)
    Deep infection137 (0.23%)124 (0.96%)
    Pulmonary embolus542 (0.93%)101 (0.78%)
    Anchor for JumpAnchor for JumpTABLE III:  Distribution, According to Hospital and Surgeon Procedure Volumes, of Primary Total Hip Replacements* Performed in Medicare Beneficiaries from July 1995 through June 1996
    *N = 57,488. The sample size is smaller than in Table I (n = 58,521) because data on surgeon volume were missing for about 2% of the cases.
    Hospital VolumeSurgeon Volume
    1-56-1011-2526-50>50Total
    1-107.3%3.2%1.0%0.1%0.0%11.5%
    11-259.1%8.4%6.5%0.3%0.1%24.4%
    26-507.0%7.2%11.2%2.6%0.3%28.4%
    51-1003.8%4.9%8.9%6.4%1.7%25.6%
    >1000.7%0.9%2.3%2.2%3.9%10.1%
    Total27.9%24.6%29.9%11.6%6.0%100%
    Anchor for JumpAnchor for JumpTABLE IV:  Distribution, According to Hospital and Surgeon Procedure Volumes, of Revision Total Hip Replacements* Performed in Medicare Beneficiaries from July 1995 through June 1996
    *N = 12,724. The total sample size is smaller than in Table I (n = 12,956) because data on surgeon volume were missing for about 2% of the cases.
      Hospital VolumeSurgeon Volume
    1-34-10>10Total
    1-522.1%4.0%0.3%26.4%
    6-1011.8%10.1%0.7%22.6%
    11-259.4%13.1%8.3%30.7%
    26-501.5%3.7%7.0%12.2%
    >500.4%1.1%6.6%8.0%
    Total45.3%31.8%22.9%100%
    Anchor for JumpAnchor for JumpTABLE V:  Associations Between Hospital and Surgeon Procedure Volumes and Select Outcomes of Primary Total Hip Replacements in Medicare Beneficiaries Treated from July 1995 through June 1996
    *Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis. In addition, the odds ratios for hospital volume are adjusted for surgeon volume, and the odds ratios for surgeon volume are adjusted for hospital volume.
    OutcomeHospitalSurgeon
    Annual Volume of Primary Hip ReplacementsRate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)Annual Volume of Primary Hip Replacements Rate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)
    Mortality?1-101.3%1.0?1-51.1%1.0
    11-251.0%0.82 (0.62, 1.07)?6-101.0%0.98 (0.78, 1.23)
    26-500.9%0.72 (0.54, 0.95)11-250.9%0.97 (0.77, 1.22)
    51-1000.9%0.68 (0.51, 0.92)26-500.8%1.10 (0.95, 1.54)
    >1000.7%0.58 (0.38, 0.89)>500.7%0.95 (0.56, 1.62)
    Dislocation?1-104.4%1.0?1-54.2%1.0
    11-253.8%0.96 (0.82, 1.17)?6-103.4%0.85 (0.76, 0.96)
    26-502.9%0.79 (0.67, 0.93)11-252.6%0.68 (0.59, 0.78)
    51-1002.5%0.72 (0.60, 0.87)26-502.4%0.68 (0.54, 0.86)
    >1002.2%0.77 (0.58, 1.03)>501.5%0.49 (0.34, 0.69
    Deep infection?1-100.4%1.0?1-50.3%1.0
    11-250.3%0.84 (0.52, 1.37)?6-100.3%0.90 (0.59, 1.37)
    26-500.2%0.56 (0.33, 0.96)11-250.2%0.80 (0.51, 1.26)
    51-1000.2%0.74 (0.42, 1.32)26-500.1%0.64 (0.30, 1.36)
    >1000.1%0.52 (0.22, 1.22)>500.1%0.28 (0.07, 1.11)
    Pulmonary embolus?1-101.1%1.0?1-51.0%1.0
    11-251.0%0.86 (0.64, 1.15)?6-101.0%0.98 (0.78, 1.23)
    26-501.0%0.89 (0.66, 1.21)11-250.9%0.91 (0.72, 1.14)
    51-1000.8%0.83 (0.60, 1.14)26-500.7%0.75 (0.51, 1.08)
    >1000.8%0.79 (0.51, 1.23)>500.7%0.73 (0.44, 1.21)
    Anchor for JumpAnchor for JumpTABLE VI:  Risk of Dislocation Associated with Surgeon Volume of Primary Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996, Stratified by Hospital Volume*
    *The results were restricted to hospitals in which more than twenty-five elective primary total hip replacements were performed in Medicare beneficiaries from July 1995 through June 1996. †Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis.
    Hospital VolumeSurgeon VolumeDislocation
    RateAdjusted Odds Ratio† (95% Confidence Interval)
    26-50?1-53.7%1.0
    ?6-103.0%0.83 (0.66, 1.05)
    11-252.5%0.69 (0.54, 0.89)
    26-502.9%0.84 (0.53, 1.31)
    >501.3%0.34 (0.10, 1.13)
    51-100?1-53.2%1.0
    ?6-103.4%1.1 (0.81, 1.45)
    11-252.2%0.70 (0.52, 0.95)
    26-502.1%0.65 (0.46, 0.92)
    >501.1%0.33 (0.19, 0.59)
    >100?1-52.5%1.0
    ?6-102.5%1.2 (0.57, 2.45)
    11-252.6%1.2 (0.61, 2.20)
    26-502.6%1.2 (0.68, 2.20)
    >501.7%0.95 (0.51, 1.77)
    Anchor for JumpAnchor for JumpTABLE VII:  Associations Between Hospital and Surgeon Procedure Volumes and Select Outcomes of Revision Total Hip Replacement in Medicare Beneficiaries Treated from July 1995 through June 1996
    *Each odds ratio is adjusted for gender, age, comorbidity, Medicaid eligibility, and arthritis diagnosis. In addition, the odds ratios for hospital volume are adjusted for surgeon volume, and the odds ratios for surgeon volume are adjusted for hospital volume.
    OutcomeHospitalSurgeon
    Annual Volume of Revision Hip ReplacementsRate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)Annual Volume of Revision Hip Replacements Rate of OutcomeAdjusted Odds Ratio* (95% Confidence Interval)
    Mortality?1-53.5%1.01-33.1%1.0
    ?6-102.6%0.85 (0.62, 1.15)4-102.2%0.78 (0.59, 1.03)
    11-252.1%0.74 (0.54, 1.00)>101.5%0.65 (0.44, 0.96)
    26-501.5%0.67 (0.40, 1.11)
    >501.8%0.85 (0.43, 1.67)
    Dislocation?1-59.8%1.01-39.1%1.0
    ?6-108.6%0.90 (0.75, 1.08)4-108.7%1.04 (0.89, 1.21)
    11-258.4%0.90 (0.75, 1.09)>106.1%0.84 (0.67, 1.06)
    26-507.0%0.75 (0.56, 1.02)
    >504.2%0.45 (0.30, 0.66)
    Deep infection?1-50.9%1.01-31.0%1.0
    ?6-101.1%1.31 (0.78, 2.21)4-101.0%0.97 (0.61, 1.55)
    11-251.0%1.39 (0.84, 2.31)>100.7%0.64 (0.33, 1.24)
    26-500.9%1.36 (0.64, 2.92)
    >500.5%0.78 (0.29, 2.10)
    Pulmonary embolus?1-50.7%1.01-30.7%1.0
    ?6-101.1%1.63 (0.94, 2.81)4-101.0%1.44 (0.89, 2.34)
    11-250.7%1.01 (0.54, 1.90)>100.6%1.00 (0.53, 1.90)
    26-500.5%0.67 (0.29, 1.57)
    >500.7%0.91 (0.40, 2.06)
    Harris WH,Sledge CB. Total hip and total knee replacement. N Engl J Med,1990;323: 725-31, 801-7. 323725  1990  [PubMed][CrossRef]
     
    Dudley AR, Johansen KL, Brand R, Rennie DJ,Milstein A. Selective referral to high-volume hospitals: estimating potentially avoidable deaths. JAMA,2000;283: 1159-66. 2831159  2000  [PubMed][CrossRef]
     
    Hannan EL, O’Donnell JF, Kilburn H Jr, Bernard HR,Yazici A. Investigation of the relationship between volume and mortality for surgical procedures performed in New York State hospitals. JAMA,1989;262: 503-10. 262503  1989  [PubMed][CrossRef]
     
    Hannan EL, Popp AJ, Tranmer B, Fuestel P, Waldman J,Shah D. Relationship between provider volume and mortality for carotid endarterectomies in New York State. Stroke,1998;29: 2292-7. 292292  1998  [PubMed]
     
    Hannan EL, Racz M, Ryan TJ, McCallister BD, Johnson LW, Arani DT, Guerci AD, Sosa J,Topol EJ. Coronary angioplasty volume-outcome relationships for hospitals and cardiologists. JAMA,1997;277: 892-8. 277892  1997  [PubMed][CrossRef]
     
    Hannan EL, Siu AL, Kumar D, Kilburn H Jr,Chassin MR. The decline in coronary artery bypass graft surgery mortality in New York State. The role of surgeon volume. JAMA,1995;273: 209-13. 273209  1995  [PubMed][CrossRef]
     
    Jollis JG, Peterson ED, Nelson CL, Stafford JA, DeLong ER, Muhlbaier LH,Mark DB. Relationship between physician and hospital coronary angioplasty volume and outcome in elderly patients. Circulation,1997;95: 2485-91. 952485  1997  [PubMed]
     
    Hand R, Sener S, Imperato J, Chmiel JS, Sylvester JA,Fremgen A. Hospital variables associated with quality of care for breast cancer patients. JAMA,1991;266: 3429-32. 2663429  1991  [PubMed][CrossRef]
     
    Stone VE, Seage GR 3rd, Hertz T,Epstein AM. The relation between hospital experience and mortality for patients with AIDS. JAMA,1992;268: 2655-61. 2682655  1992  [PubMed][CrossRef]
     
    Thiemann DR, Coresh J, Oetgen WJ,Powe NR. The association between hospital volume and survival after acute myocardial infarction in elderly patients. N Engl J Med,1999;340: 1640-8. 3401640  1999  [PubMed][CrossRef]
     
    Ward MM. Hospital experience and mortality in patients with systemic lupus erythematosus. Arthritis Rheum,1999;42: 891-8. 42891  1999  [PubMed][CrossRef]
     
    Luft HS, Bunker JP,Enthoven AC. Should operations be regionalized? The empirical relation between surgical volume and mortality. N Engl J Med,1979;301: 1364-9. 3011364  1979  [PubMed][CrossRef]
     
    Maerki SC, Luft HS,Hunt SS. Selecting categories of patients for regionalization. Implications of the relationship between volume and outcome. Med Care,1986;24: 148-58. 24148  1986  [PubMed][CrossRef]
     
    Taylor HD, Dennis DA,Crane HS. Relationship between mortality rates and hospital patient volume for Medicare patients undergoing major orthopaedic surgery of the hip, knee, spine, and femur. J Arthroplasty,1997;12: 235-42. 12235  1997  [PubMed][CrossRef]
     
    Kreder HJ, Deyo RA, Koepsell T, Swiontkowski MF,Kreuter W. Relationship between the volume of total hip replacements performed by providers and the rates of postoperative complications in the state of Washington. J Bone Joint Surg Am,1997;79: 485-94. 79485  1997  [PubMed]
     
    Lavernia CJ,Guzman JF. Relationship of surgical volume to short-term mortality, morbidity, and hospital charges in arthroplasty. J Arthroplasty,1995;10: 133-40. 10133  1995  [PubMed][CrossRef]
     
    HCFA invites 84 hospitals to apply for joint project. Orthop Today,1997;17: 1, 8. 171  1997 
     
    St. Anthony’s ICD-9-CM code book for physician payment. Vols 1 and 2. Alexandria, VA: St. Anthony Publishing; 1993 
     
    American Medical Association. CPT 1993. Physicians’ current procedural terminology. Chicago: American Medical Association; 1993 
     
    American Hospitals Association. 1995 survey of hospitals. Chicago: American Hospital Association; 1996 
     
    Charlson ME, Pompei P, Ales KL,MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis,1987;40: 373-83. 40373  1987  [PubMed][CrossRef]
     
    Romano PS, Roos LL,Jollis JG. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol,1993;46: 1075-9. discussion 1081-90461075  1993  [PubMed][CrossRef]
     
    SAS Institute. SAS/STAT user’s guide, release 6.03. Cary, NC: SAS Institute; 1988. 
     
    Diggle PJ, Liang K-Y, Zeger SL. Analysis of longitudinal data. New York: Oxford University Press; 1995. p 151-3. 
     
    Grumbach K, Anderson GM, Luft HS, Roos LL,Brook R. Regionalization of cardiac surgery in the United States and Canada. Geographic access, choice, and outcomes. JAMA,1995;274: 1282-8. 2741282  1995  [PubMed][CrossRef]
     
    Showstack JA, Rosenfeld KE, Garnick DW, Luft HS, Schaffarzick RW,Fowles J. Association of volume with outcome of coronary artery bypass graft surgery. Scheduled vs nonscheduled operations. JAMA,1987;257: 785-9. 257785  1987  [PubMed][CrossRef]
     
    Jollis JG, Peterson ED, DeLong ER, Mark DB, Collins SR, Muhlbaier LH,Pryor DB. The relation between the volume of coronary angioplasty procedures at hospitals treating Medicare beneficiaries and short-term mortality. N Engl J Med,1994;331: 1625-9. 3311625  1994  [PubMed][CrossRef]
     
    Kimmel SE, Berlin JA,Laskey WK. The relationship between coronary angioplasty procedure volume and major complications. JAMA,1995;274: 1137-42. 2741137  1995  [PubMed][CrossRef]
     
    Manheim LM, Sohn MW, Feinglass J, Ujiki M, Parker MA,Pearce WH. Hospital vascular surgery volume and procedure mortality rates in California, 1982-1994. J Vasc Surg,1998;28: 45-56. discussion 56-82845  1998  [PubMed][CrossRef]
     
    Begg CB, Cramer LD, Hoskins WJ,Brennan MF. Impact of hospital volume on operative mortality for major cancer surgery. JAMA,1998;280: 1747-51. 2801747  1998  [PubMed][CrossRef]
     
    Gordon TA, Bowman HM, Tielsch JM, Bass EB, Burleyson GP,Cameron JL. Statewide regionalization of pancreaticoduodenectomy and its effect on in-hospital mortality. Ann Surg,1998;228: 71-8. 22871  1998  [PubMed][CrossRef]
     
    Imperato PJ, Nenner RP, Starr HA, Will TO, Rosenberg CR,Dearie MB. The effects of regionalization on clinical outcomes for a high risk surgical procedure: a study of the Whipple procedure in New York State. Am J Med Qual,1996;11: 193-7. 11193  1996  [PubMed][CrossRef]
     
    Edwards EB, Roberts JP, McBride MA, Schulak JA,Hunsicker LG. The effect of the volume of procedures at transplantation centers on mortality after liver transplantation. N Engl J Med,1999;341: 2049-53. 3412049  1999  [PubMed][CrossRef]
     
    Ninn-Pedersen K,Stenevi U. Cataract surgery in a Swedish popu- lation: observations and complications. J Cataract Refract Surg,1996;22: 1498-505. 221498  1996  [PubMed]
     
    Heck DA, Robinson RL, Partridge CM, Lubitz RM,Freund DA. Patient outcomes after knee replacement. Clin Orthop,1998;356: 93-110. 35693  1998  [PubMed][CrossRef]
     
    Norton EC, Garfinkel SA, McQuay LJ, Heck DA, Wright JG, Dittus R,Lubitz RM. The effect of hospital volume on the in-hospital complication rate in knee replacement patients. Health Serv Res,1998;33: 1191-210. 331191  1998  [PubMed]
     
    Finlayson SR, Birkmeyer JD, Tosteson AN,Nease RF Jr. Patient preferences for location of care: implications for regionalization. Med Care,1999;37: 204-9. 37204  1999  [PubMed][CrossRef]
     
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    Jeffrey N. Katz
    Posted on February 27, 2002
    Volumes and Outcomes of Orthopaedic Procedures: Scientific and Policy Considerations
    Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston

    February 19, 2002 - submitted to JBJS 02/19/02 Re: JBJS: Commentary by Frederick A. Matsen III, MD

    Jeffrey N. Katz, MD, MS Elena Losina, PhD John A. Baron, MD, MPH Nizar N. Mahomed, MD, ScD Robert Poss, MD William H. Harris, MD Robert A. Lew, PhD Charlotte B. Phillips, RN, MPH Anne H. Fossel Nancy Maher, MPH Jessica Tullar, BA

    Corresponding author: Jeffrey N. Katz, MD, MS Division of Rheumatology, Immunology and Allergy Brigham and Women's Hospital 75 Francis Street Boston, MA 02115 jnkatz@partners.org

    We are pleased to respond to Dr. Matsen's thoughtful commentary on our article "Association Between Hospital and Surgeon Procedure Volume and Outcomes of Total Hip Replacement in the United States Medicare Population" (1). Dr. Matsen comments on scientific aspects of the association between volume and outcomes, including causality and severity adjustment, and on the clinical and health-care policy implications of our findings. Our response addresses both of these considerations.

    Scientific Considerations

    Dr. Matsen raises the question of whether outcomes beget volume (people flock to certain restaurants because the restaurants are excellent) or volume begets outcomes (practice makes perfect). In the absence of a randomized trial (which would probably be infeasible), we cannot establish causality with certainty. Luft and colleagues (2) proposed a method for gaining insight into the causal direction of volume- outcomes associations using cross-sectional data. We have adapted their approach, as follows:

    We start by recognizing that hospitals with more beds and those with teaching programs perform a higher volume of hip replacements. Indeed, these two factors explained 26% of the variance in the algorithm of total hip replacement volume in our analyses. We then examined the association between hospital mortality and the residuals from this regression. (The residual is the difference between the total hip replacement volume of the hospital predicted by its number of beds and its teaching status, and the actual total hip replacement volume.) If outcomes drive volume, then the residuals should be associated with mortality-that is, a hospital with especially high mortality should have lower annual total hip replacement volume than predicted on the basis of its number of beds and its teaching status (because patients would avoid the hospital). Similarly, a hospital with especially low mortality should have higher total hip replacement volume than predicted because patients would flock to the hospital. In fact, the residuals explained virtually none (0.04%) of the variability in mortality. This finding lends no support to the hypothesis that outcomes of hip replacement drive volume, and it is more consistent with a practice -makes-perfect mechanism.

    Dr. Matsen also raises the question of selection bias-whether low- volume surgeons tend to operate on patients who are at greater risk for complications. Indeed, patients who are operated on in low-volume hospitals are more likely to be older, less educated, non-white, and poor (our unpublished data). However, our analyses adjust for demographic and clinical factors, including age, race, gender, arthritis diagnosis, comorbidity, and poverty status. Even after this adjustment, low-volume hospitals and surgeons have worse perioperative outcomes. Thus, imbalance between high and low-volume centers on these variables does not account for the differences in outcome. Of course, claims data are not ideal sources of information on comorbidity and cannot account for differences in technical complexity among cases. Thus, it remains possible that aspects of case severity that we could not measure (or could not measure well) with claims data may explain some of the differences in outcome.

    Dr. Matsen asks whether the enhanced support services in high-volume centers account for the superior results. In work that is not yet published, we examined whether hospital characteristics explain the association between volume and outcome. Our analyses indicate that hospital characteristics account for little of the effect of volume on outcome, leaving us to conclude, once again, that a "practice-makes- perfect" effect is the dominant mechanism. Dr. Matsen's comment also raises the question of which has greater influence on outcomes, the experience of the surgeon or aspects of the hospital? We examined the independent effects of surgeon volume and hospital volume in our analyses. As our paper shows, mortality following primary total hip replacement is driven largely by hospital and not by surgeon volume. On the other hand, dislocation and infection are influenced by both hospital and surgeon volume, with much stronger contribution from surgeon volume. The finding that some outcomes are driven more by surgeon volume and others, by hospital volume has important implications for patient choice of hospital and surgeon. For example, even within high-volume hospitals that perform twenty-six to fifty total hip replacements per year in the Medicare population, surgeons who perform five or fewer cases per year have three- fold higher dislocation rates than do surgeons who perform over fifty per year (1).

    Dr. Matsen also asks whether there are discrete threshold volume values above which outcomes become stable. In response to this comment, we have split our highest volume stratum into two substrata, 100 to 150 cases per year and greater than 150. The mortality rates were 0.57% for the highest-volume substratum (greater than 150 cases) and 0.74% for the next stratum (100 to 150). These two mortality rates are not significantly different, but the pattern shows no evidence of a threshold. An analysis of dislocation yielded similar results. These limited data suggest that higher volume is associated with better perioperative outcome at all points along the continuum of hospital and surgeon volume, with no evidence of a discrete threshold.

    Dr. Matsen asks whether these observations must be confirmed for each individual surgical procedure (e.g., total shoulder arthroplasty) or whether the volume-outcome associations seen with one procedure can be generalized to others. A recent review of the literature on volume-outcome associations found significant inverse associations in 77% of reports (3). Thus, the association is not universal. We hesitate to generalize from our hip replacement findings to other orthopedic procedures until more research on some of these procedures has been performed.

    Policy Implications

    The decision of whether to have surgery in a high or a low-volume center is complex, especially if the patient lives a great distance from a high-volume center. The advantages of care in a high-volume center are clear. For example, mortality within ninety days of elective primary total hip replacement in high-volume centers is just 58% of that in the lowest- volume centers (1). While this relative risk is impressive, the absolute risk difference in ninety-day mortality is modest (1.3% in hospitals that perform ten or fewer cases per year versus 0.7% in hospitals that perform greater than 100). If we assume these mortality rates, then for every 167 patients whose care is transferred from a low-volume hospital that performs fewer than ten total hip replacements per year in the Medicare population to a hospital that performs more than 100, one life would be saved (1/0.006 = 167). On a national scale, if the approximately 6700 patients who had primary total hip replacement in centers with annual volumes of less than ten per year in 1995 were instead referred to centers with volumes in excess of 100 per year, forty lives would be saved. If these patients were referred to centers with fifty-one to one hundred cases per year (mortality = 0.9%), twenty-seven lives would be saved.

    While potential advantages of shifting patients from low to high- volume centers are easy to calculate, the disadvantages of referral to a high-volume center are more subtle. Many patients prefer to receive care in low-volume settings. The reasons that patients select low-volume centers are not well studied but likely include the hospital affiliation of the surgeon whom they are referred to, the recommendation of their primary-care physicians, recommendations of family and friends, convenience of the location for patients and their families and friends, and other factors. Some patients might simply refuse to have the procedure if it could only be performed in the distant high-volume center rather than the local low-volume hospital. This would have important effects on quality-adjusted life expectancy. A patient with a ten-year life expectancy who spends the remainder of his or her life with end-stage hip arthritis would live two to five quality-adjusted life-years less than a patient who has a successful total hip replacement (4-6). We have not modeled the trade-offs formally, but it is clear from these examples that mandatory referral to a high-volume center saves some lives at the expense of an unknown but potentially large number of quality-adjusted life-years. Our data also suggest that patients who elect not to travel to the high- volume center may be older, poorer, and less educated. Thus, mandatory referral to high-volume centers could exacerbate existing disparities in utilization of total hip replacement among whites, blacks, and Hispanics, as well as between poor and non-poor (7).

    In response to another of Dr. Matsen's questions, we are unaware of whether low-volume surgeons are at legal risk, but it would seem prudent from this standpoint to fully disclose surgeon and hospital volume. Our data do not provide answers to several other provocative questions that Dr. Matsen raises, including how to align financial incentives with referral to high-volume centers and how to manage the tension between educating surgeons in the techniques of arthroplasty and the resultant increase in low- volume surgeons. We invite continued dialogue, research, and policy analysis to address these important concerns.

    These complex issues are especially critical because payers are paying attention to volume. The Centers for Medicare and Medicaid Services (CMS), which manage the Medicare program, have initiated a pilot program that designates centers of excellence for total hip and knee replacement surgery. Similar programs in cardiac surgery were successful in reducing costs with no compromise in outcomes. Volume is one of many indicators of quality used in the CMS project. Payers in the private sector have also committed to using high-volume providers. The Leapfrog Group, a consortium of major businesses dedicated to improving health-care quality and efficiency, has identified referral to high-volume providers as a strategic goal for improving employees' health (8). We believe that programs to restrict care to high-volume centers should await formal, comprehensive policy analysis and that the choice of hospital and surgeon should be left with the patient. We agree with Dr. Matsen that the medical community has an obligation to fully inform patients of these volume- outcome relationships and of the volume of surgeries performed by specific surgeons and hospitals. As with many other complex medical and surgical decisions, we believe that patient preferences should drive the choice of surgeon and hospital and that our job as researchers and clinicians is to inform patients fully and help them to make choices that are congruent with their preferences (9).

    References

    1. Katz JN, Losina E, Barrett J, Phillips CB, Mahomed NN, Lew RA, Guadagnoli E, Harris WH, Poss R, Baron JA. Association between hospital and surgeon procedure volume and outcomes of total hip replacement in the United States Medicare population. J Bone Joint Surg Am. 2001;83:1622-9.

    2. Luft HS, Hunt SS, Maerki SC. The volume-outcome relationship: practice-makes-perfect or selective-referral patterns? Health Serv Res. 1987;22:157-82. 3. Maria Hewitt for the Committee on Quality of Health Care in America and the National Cancer Policy Board. Interpreting the volume-outcome relationship in the context of health care quality: workshop summary (2000). books.nap.edu/books/NI000322/html/index.html. Accessed 19 Feb 2002.

    4. Chang RW, Pellisier JM, Hazen GB. A cost-effectiveness analysis of total hip arthroplasty for osteoarthritis of the hip. JAMA. 1996;275:858-65.

    5. Laupacis A, Bourne R, Rorabeck C, Feeny D, Wong C, Tugwell P, Leslie K, Bullas R. The effect of elective total hip replacement on health-related quality of life. J Bone Joint Surg Am. 1993;75:1619-26.

    6. Katz JN, Phillips CB, Fossel AH, Liang MH. Stability and responsiveness of utility measures. Med Care. 1994;32:183-8.

    7. Escalante A, Barrett J, del Rincon I, Cornell JE, Phillips CB, Katz JN. Disparity in total hip replacement between Hispanic and non- Hispanic Medicare beneficiaries. Unpublished data.

    8. The Leapfrog Group. www.leapfroggroup.org/index.html. Accessed 13 Feb 2002.

    9. Katz JN. Patient preferences and health disparities. JAMA. 2001;286:1506-9.

    Frederick A. Matsen, III, MD
    Posted on February 05, 2002
    The Relationship of Surgical Volume to Quality of Care: Challenges and Opportunities
    University of Washington

    "Association Between Hospital and Surgeon Procedure Volume and Outcomes of Total Hip Replacement in the United States Medicare Population" (2001;83:1622-9), by Katz et al., provides the basis for discussing one of the most important issues facing health care today-the results of specialization. Their data support the concept that specialists provide better outcomes. Specifically, in the Medicare population, patients treated with primary total hip replacement by surgeons who performed more than fifty of these procedures per year had a markedly reduced complication rate in comparison with those patients whose surgeons performed ten or fewer of these procedures per year.

    In a paper presented at the annual meetings of the AAOS and the American Shoulder and Elbow Surgeons in 2001, we reported the results of a study that made use of the 1998 database of the Center for Medical Consumers (http://www.medicalconsumers.org/#Main_Index) to determine the volume distribution among surgeons and hospitals in New York State of total/partial shoulder replacements, total/partial hip replacements, and total knee replacements1. We learned that 14,644 hip replacements, 12,328 knee replacements, and 902 shoulder replacements were performed by 1175, 820, and 389 surgeons, respectively. Approximately forty per cent of surgeons who performed hip and knee replacements in New York State performed ten or more replacements in that year. In contrast, only ten ( <_3 of="of" all="all" surgeons="surgeons" who="who" performed="performed" shoulder="shoulder" replacements="replacements" did="did" ten="ten" or="or" more="more" such="such" procedures="procedures" in="in" _1998="_1998" and="and" than="than" three-quarters="three-quarters" these="these" only="only" one="one" two.="two." seventy-eight="seventy-eight" percent="percent" the="the" were="were" by="by" fewer="fewer" per="per" year="year" whereas="whereas" _31="_31" hip="hip" knee="knee" arthroplasties="arthroplasties" low-volume="low-volume" surgeons.="surgeons." forty="forty" patients="patients" had="had" arthroplasty="arthroplasty" operated="operated" upon="upon" two="two" year.="year." table="table" p="p" />

    Table*
      Hip Knee Shoulder
    Surgeons performing >10/yr 39.0 41.5 2.6
    Surgeons performing 1-2/yr 30.7 25.5 78.2
    Patients having arthroplasty by surgeon performing >50/yr 19.5 29.8 0
    Patients having arthroplasty by surgeon performing >10/yr 83.0 85.0 22.0
    Patients having arthroplasty by surgeon performing 1-2/yr 2.9 2.2 44.2
    *All values are given as percentages.

    These results, coupled with those of Katz et al., suggest that many patients are undergoing arthroplasty done by surgeons who do not perform this procedure frequently, that the complication rate is higher for these low-volume surgeons, and that the skew in the distribution of experienced surgeons is more dramatic for shoulder arthroplasty than it is for hip or knee replacement.

    Patients routinely ask, "Who is the best person to do my procedure?" The answers often given are: "Someone on the provider list of your health plan", "Someone near your home," or "Someone suggested by your primary care physician." Rarely given are the answers "Someone who does a critical number of these procedures" or "Someone who can document his or her personal efficacy in treating the condition in question." Where should the standard of excellence fit into the formula for surgeon selection, and by what means can information about surgeon experience be provided to patients considering surgery?

    There are now over twenty articles documenting the correlation between procedure volume and results of total joint replacement in the peer-reviewed literature. Katz et al. provided another. What is missing is a discussion of the underlying causes of this correlation. The authors may wish to comment on the following. · Is the busiest surgeon busiest because she or he does the best job, i.e., is volume a marker of quality (as in the case of restaurants, where the best ones tend to have the longest lines out front)? · Does the busiest surgeon do the best job because he or she has done more; does 'practice make perfect'? · There is evidence that low-volume surgeons tend to operate on patients who have a greater risk of complications2. Does a surgeon's experience improve patient selection (as in buying art or watermelons)? · Does high volume beget better support services for a procedure; are the better nurses and therapists assigned to frequently performed procedures (like the benefits assigned to frequent fliers)? · Is there a limit to the volume effect, or does quality continue to improve with increasing volume?

    What is also missing is a discussion of the implications of the data. The authors may also wish to consider the following questions:

    · If volume data are important, for what procedures should surgeon volume data be collected, how, and by whom? · If quality and volume are associated, shouldn't the volume data be made accessible to patients so that they can consider this information along with that regarding proximity and payer in making the decision of where to have surgery? Is the surgeon or center obligated to disclose volume as a part of informed consent? With a few exceptions, such surgeon-specific data are difficult for patients to acquire. · For patients electing to have surgery performed by 'low-volume surgeons,' how can they be protected from the potential risks of this choice? · Are low-volume surgeons at enhanced legal risk? If so, how might they be protected? · In that low-volume surgeons have a financial disincentive to refer their patients to high volume surgeons, how can this conflict of interest be best handled? · Are the AAOS and implant companies encouraging surgeons to perform arthroplasties by holding "sawbones" 'learning centers,' even though the surgeons who attend may perform only one or two of these procedures per year? · Is the volume effect transferable, i.e., if one is a high-volume surgeon in terms of performing hip arthroplasties, does this experience apply to knee, hip, ankle, and shoulder arthroplasties as well? · Recognizing that every surgeon begins his or her career as a "low-volume surgeon," how can our educational process accommodate the inevitability of the learning curve in a way that does not jeopardize patient care? · What do the effects of surgeon procedure volume suggest to payers, such as Medicare, with respect to regionalization of major surgical procedures? · If low volumes of total hip replacement (i.e., Answers to these questions have huge implications for surgical education, practice distribution, and health-care financing. The Journal and the orthopaedic community are challenged to consider these implications, remembering that our first duty is to the patients we serve. What is in their best interest?

    Sincerely, Frederick A. Matsen III, MD

    1. Hasan SS, Leith JM, Smith KL, Matsen FA III. The distribution of shoulder replacements among surgeons is significantly different than that of hip or knee replacements. Presented at: The Annual Meeting of the American Academy of Orthopaedic Surgeons; 2001 Feb 28- Mar 4; Orlando, Florida. [Poster no. PE261].

    2. Kreder HJ, Deyo RA, Koepsell T, Swiontkowski MF, Kreuter W. Relationship between the volume of total hip replacements performed by providers and the rates of postoperative complications in the State of Washington. J Bone Joint Surg Am. 1997;79:485-94.

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