2014
DOI: 10.1007/s00402-014-2101-x
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Association between household income and the outcome of arthroplasty: a register-based study of total hip and knee replacements

Abstract: The quality of arthroplasty as measured by the risk of revision does not seem to depend on patients' income quintile.

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Cited by 11 publications
(6 citation statements)
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“…With higher income and liquid assets come the possibility of better diet, better rehabilitation, and better suited accommodation. Our findings of an association between low income in the age group under 65 and low liquid assets in the age group over 65 and a higher rate of revision contrast with previous findings (Peltola and Järvelin 2014). They describe the opposite effect of income.…”
Section: Ses Markerscontrasting
confidence: 99%
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“…With higher income and liquid assets come the possibility of better diet, better rehabilitation, and better suited accommodation. Our findings of an association between low income in the age group under 65 and low liquid assets in the age group over 65 and a higher rate of revision contrast with previous findings (Peltola and Järvelin 2014). They describe the opposite effect of income.…”
Section: Ses Markerscontrasting
confidence: 99%
“…This supports our findings, and the missing stratification in age in their study may explain the U-formed tendency. Most studies have a median age of +65 when examining effects in respect of income (Agabiti et al 2007, Peltola and Järvelin 2014, Maradit Kremers et al 2015, Weiss et al 2019; however, an age of +65 is above the age of retirement, leaving a population with an income with less fluctuation and perhaps skewed values. Dividing the results concerning income and liquid assets into 2 age groups allows us to assess the effect as regards the true subpopulation, as we did in the present study.…”
Section: Ses Markersmentioning
confidence: 99%
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“…We performed separate multivariable-adjusted logistic regression analyses for each outcome controlling for clinically important variables, some of which were also potential and/or known confounders of TKA/THA outcomes [ 9 13 ], including age, race, sex, income, underlying diagnosis (listed in the primary diagnosis position), Deyo-Charlson comorbidity index, and insurance payer. Deyo-Charlson comorbidity index [ 14 ], is a validated measure of medical comorbidity that includes 17 comorbidities with score ranging 0–25, higher score indicating more comorbidity load.…”
Section: Methodsmentioning
confidence: 99%
“…Low SES is associated with a higher risk of developing hip osteoarthritis (OA) and a lower risk of seeking medical care even in countries with tax-based healthcare systems (Agerholm et al 2013, Peltola and Järvelin 2014, Wetterholm et al 2016. Thus, an increased need for total hip arthroplasty (THA) among individuals with low SES may be expected.…”
mentioning
confidence: 99%