Jonathan Skinner1, Weiping Zhou, James Weinstein. 1. Center for Evaluative Clinical Sciences, HB 7152 Dartmouth Medical School, Hanover, NH 03755, USA. jon.skinner@dartmouth.edu
Abstract
BACKGROUND: The associations among income, total knee arthroplasty, and underlying rates of knee osteoarthritis are not well understood. We studied whether high-income Medicare recipients are more likely to have a knee arthroplasty and less likely to suffer from knee osteoarthritis. METHODS: Two data sources were used: (1) the 2000 United States Medicare claims data measuring the incidence of total knee arthroplasty by race, ethnicity, zip (postal) code income, and region (n = 27.5 million) and (2) the National Health and Nutrition Examination Survey (NHANES III) for individuals with an age of sixty years or more (n = 1926) with radiographic and clinical evidence of osteoarthritis. Logistic regression methods were used to adjust for covariates. RESULTS: At the national level, age-adjusted rates of total knee arthroplasty in the high-income quintile were no higher than those in the low-income group (odds ratio, 0.98; 95% confidence interval, 0.96 to 1.00). Within regions, access to care was better for high-income groups (odds ratio, 1.19; 95% confidence interval, 1.17 to 1.22). Racial disparities in arthroplasty were significant (p < 0.001); the odds ratio was 0.36 (95% confidence interval, 0.34 to 0.38) for black men and 0.45 (95% confidence interval, 0.41 to 0.49) for Asian women. There was no evidence of an income gradient for most clinical and radiographic measures of arthritis. The exception was a significant negative association between income and pain on passive motion (p < 0.05). CONCLUSIONS: High-income Medicare enrollees are no less likely to have osteoarthritis than low-income enrollees but have somewhat better access to care. Racial disparities are more important than those that are attributable to socioeconomic status.
BACKGROUND: The associations among income, total knee arthroplasty, and underlying rates of knee osteoarthritis are not well understood. We studied whether high-income Medicare recipients are more likely to have a knee arthroplasty and less likely to suffer from knee osteoarthritis. METHODS: Two data sources were used: (1) the 2000 United States Medicare claims data measuring the incidence of total knee arthroplasty by race, ethnicity, zip (postal) code income, and region (n = 27.5 million) and (2) the National Health and Nutrition Examination Survey (NHANES III) for individuals with an age of sixty years or more (n = 1926) with radiographic and clinical evidence of osteoarthritis. Logistic regression methods were used to adjust for covariates. RESULTS: At the national level, age-adjusted rates of total knee arthroplasty in the high-income quintile were no higher than those in the low-income group (odds ratio, 0.98; 95% confidence interval, 0.96 to 1.00). Within regions, access to care was better for high-income groups (odds ratio, 1.19; 95% confidence interval, 1.17 to 1.22). Racial disparities in arthroplasty were significant (p < 0.001); the odds ratio was 0.36 (95% confidence interval, 0.34 to 0.38) for black men and 0.45 (95% confidence interval, 0.41 to 0.49) for Asian women. There was no evidence of an income gradient for most clinical and radiographic measures of arthritis. The exception was a significant negative association between income and pain on passive motion (p < 0.05). CONCLUSIONS: High-income Medicare enrollees are no less likely to have osteoarthritis than low-income enrollees but have somewhat better access to care. Racial disparities are more important than those that are attributable to socioeconomic status.
Authors: S Samuel Bederman; Charles D Rosen; Nitin N Bhatia; P Douglas Kiester; Ranjan Gupta Journal: Clin Orthop Relat Res Date: 2011-08-05 Impact factor: 4.176
Authors: A M Cavanaugh; M J Rauh; C A Thompson; J Alcaraz; W M Mihalko; C E Bird; C B Eaton; M C Rosal; W Li; A H Shadyab; T Gilmer; A Z LaCroix Journal: Osteoarthritis Cartilage Date: 2019-08-09 Impact factor: 6.576
Authors: Christopher J Dy; Joseph M Lane; Ting Jung Pan; Michael L Parks; Stephen Lyman Journal: J Bone Joint Surg Am Date: 2016-05-18 Impact factor: 5.284