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Orthopaedic Proceedings
Vol. 102-B, Issue SUPP_9 | Pages 68 - 68
1 Oct 2020
Illgen RL Springer BD Bozic KJ Sporer SM Huddleston JI Lewallen DG Porter K Browne JA
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Introduction

The American Joint Replacement Registry (AJRR) is the largest registry of total hip and knee arthroplasty (THA and TKA) procedures performed in the U.S. The National (Nationwide) Inpatient Sample (NIS) is a public database containing demographic estimates based on more than seven million hospitalizations annually. The purpose of this study was to analyze whether AJRR data is representative of the national experience with TJA as represented in NIS

Methods

Cohen's d effect sizes were computed to ascertain the magnitude of differences in demographics, hospital volume (in 50 patient increments), and geographic characteristics between the AJRR and NIS databases.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_11 | Pages 13 - 13
1 Oct 2019
Bedard NA DeMik DE Carender CN Browne JA Schwarzkopf R Callaghan JJ
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Introduction

In 2015, the healthcare system transitioned from International Classification of Diseases, Ninth Revision (ICD-9) coding to the Tenth Revision (ICD-10). Given that administrative claims are used for quality initiatives, risk adjustment models and clinical research, we sought to determine the effect of new, more detailed coding on the incidence of complications following primary total knee arthroplasty (TKA).

Methods

The Humana administrative claims database was queried from 2-years prior to October 1, 2015 (ICD-9 cohort) and for 1-year after this date (ICD-10 cohort) to identify all primary TKA procedures. Each TKA was then tracked for occurrence of an arthroplasty specific post-operative complication within 6 months of surgery using the respective coding systems. Laterality and joint specific codes were utilized for the ICD-10 cohort to ensure complications occurred on the same side and joint as the index procedure. Incidence of each complication was compared between cohorts using risk ratios (RR) and 95% confidence intervals.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_11 | Pages 45 - 45
1 Oct 2019
Browne JA Quinlan ND Chen DQ Werner BC
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Introduction

As total knee arthroplasty incidence in the United States continues to increase, health care entities are looking to reform policy to decrease costs while improving efficiency and quality of care. The allocation of hospital and surgeon charges and payments is an important aspect of health care economics, but the trends and relationship between surgeon and hospital charges and payments for knee arthroplasty have not been well examined. The goal of this study is to report trends and variation in hospital charges and payments compared to surgeon charges and payments for total knee arthroplasty in a Medicare population.

Methods

The 5% Medicare sample was used to capture hospital and surgeon charges and payments for total knee arthroplasty from 2005–2014. Two important values were calculated: (1) the charge multiplier (CM) which is the ratio of hospital to surgeon charges, and (2) the payment multiplier (PM), which is the ratio of hospital to surgeon payments. The year to year variation and regional trends in patient demographics, Charlson Comorbidity Index (CCI), length of stay (LOS), CM and PM were evaluated for all patients. Statistical significance of trends was evaluated using student's t-tests. Correlations between the financial multipliers and LOS were evaluated using a Pearson correlation coefficient (r).


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_12 | Pages 50 - 50
1 Oct 2018
Browne JA Casp A Cancienne JM Werner BC
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Introduction

Dialysis has been associated with increased complication rates following total knee arthroplasty (TKA). However, the current literature on this topic is limited and does not distinguish between hemodialysis (HD) and peritoneal dialysis (PD). It is unknown if the type of dialysis influences the risks of adverse outcome. The purpose of this study was to determine if infection and complication rates after TKA differ based on the mode of dialysis.

Methods

Patients undergoing primary TKA from 2005 to 2014 were identified in the Medicare database. Patients with PD were matched 1:1 to patients with HD and 1:3 with patients who were not receiving either form of dialysis. Multivariate regression analysis was performed to examine several adverse events including the incidence of infection at 1 year and readmission to the hospital at 30 days.