2001
DOI: 10.2106/00004623-200111000-00002
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Association Between Hospital and Surgeon Procedure Volume and Outcomes of Total Hip Replacement in the United States Medicare Population*

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Cited by 620 publications
(438 citation statements)
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“…Dislocations were identified using a hospital utilization database using ICD-9-CM discharge diagnosis codes but as a result of the lack of laterality, specificity, and sometimes inaccuracies of ICD-9-CM codes, these events could potentially be inaccurate. However, we used the same algorithms used by large studies [7,24] using administrative data in an attempt to use a comparable way to ascertain the outcome so our estimations could be compared with others. Additionally, missing data was a limitation of our study.…”
Section: Discussionmentioning
confidence: 99%
“…Dislocations were identified using a hospital utilization database using ICD-9-CM discharge diagnosis codes but as a result of the lack of laterality, specificity, and sometimes inaccuracies of ICD-9-CM codes, these events could potentially be inaccurate. However, we used the same algorithms used by large studies [7,24] using administrative data in an attempt to use a comparable way to ascertain the outcome so our estimations could be compared with others. Additionally, missing data was a limitation of our study.…”
Section: Discussionmentioning
confidence: 99%
“…Each year, this data set includes the healthcare records in inpatient, outpatient, Part B carrier, skilled nursing facility, hospice care, home health, and durable medical equipment analytic data files. To limit the study to the elective cohort, we excluded patients undergoing primary TKA who received their implant as a result of bone cancer, joint infection, or fracture using criteria identical to those used previously by Katz, Mahomed, and coworkers [9,12]. Patients younger than 65 years old or health maintenance organization (HMO) enrollees were also excluded.…”
Section: Patients and Materialsmentioning
confidence: 99%
“…Because of its comprehensive nationwide coverage, Medicare claims data have the potential to serve as a framework for longitudinal analysis of infections for the United States. Thus far, assessments of PJI risk using Medicare data have been limited to 3-to 6-month postoperative assessment and suggest procedure duration and volume may be important risk factors [8,9,12,15].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, previous studies have reported the risk of rerevision for patients undergoing TKA to range from 11% to 19.8% at 5 years and those for patients undergoing THA to be as much as 16.1% at 3 years and 19.4% at 5 years [1,11,[30][31][32][33]. However, these data were obtained from patient cohorts at single institutions [31][32][33] or by international registries [1,11,30], but not for a large, nationally representative patient sample in the United States in which the patient profile or experience of the surgeon/hospital may differ [12,13]. In the absence of a national joint replacement registry in the United States, national administrative claims databases such as the Medicare claims data set offer very large population-based samples for evaluating the epidemiology and outcomes of TJA [16,19].…”
Section: Introductionmentioning
confidence: 99%