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Application of the nonlinear Blinder-Oaxaca decomposition to study racial/ethnic disparities in antiobesity medication use in the United States

机译:非线性Blinder-Oaxaca分解在美国研究抗肥胖药使用中种族/族裔差异方面的应用

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Background: The nonlinear Blinder-Oaxaca (BO) decomposition method is gaining popularity in health services research because of its ability to explain disparity issuesThe present study demonstrates the use of this method for categorical variables by addressing antiobesity medication use disparity Objective: To examine racial/ethnic disparity in antiobesity medication use and to quantify the observed factor contribution behind the disparity using the nonlinear BO decomposition Methods: Medical Expenditure Panel Survey data, 2002-2007, were used in this retrospective cross-sectional studyAdults with body mass index (BMI) >30, or BMI ??27 and comorbidities such as hypertension, cardiovascular diseases, diabetes, or hyperlipidemia were included in the cohort (N=65,886,625)Multivariable logistic regression was performed to examine racial/ethnic disparity in antiobesity medication use controlling for predisposing, enabling, and need factorsThe nonlinear BO decomposition was used to identify the contribution of each predisposing, enabling, and need factors in explaining the racial/ethnic disparity and to estimate the residual unexplained disparity Results: Non-Hispanic Blacks were 46% (odds ratio [OR]: 0.54; 95% confidence interval [CI]: 0.35-0.83) less likely to use antiobesity drugs compared with non-Hispanic Whites, whereas no difference was observed between Hispanics and non-Hispanic WhitesA 0.22 percentage point of disparity existed between non-Hispanic Whites and BlacksThe nonlinear BO decomposition estimated a decomposition coefficient of -0.0013 indicating that the observed disparity would have been 58% higher (-0.0013/0.0022) if non-Hispanic Blacks had similar observed characteristics as non-Hispanic WhitesAge, gender, marital status, region, and BMI were significant factors in the decomposition model; only marital status explained the racial/ethnic disparity among all observed characteristics Conclusions: The study revealed that differences in the predisposing, enabling, and need characteristics (except marital status) did not successfully explain the racial/ethnic disparity in antiobesity medication useFurther studies examining racial/ethnic differences in individual beliefs, behavioral patterns, and provider prescription patterns are vital to understand these disparities? 2013 Elsevier Inc.
机译:背景:非线性Blinder-Oaxaca(BO)分解方法因其能够解释差异问题而在医疗服务研究中越来越受欢迎。本研究通过解决肥胖症药物使用差异来证明该方法用于分类变量的目的:检查种族/抗肥胖药物使用中的种族差异,并使用非线性BO分解量化差异背后的观察因素贡献方法:这项回顾性横断面研究使用了2002-2007年医疗支出小组调查数据,体重指数(BMI)>队列中包括30岁或BMI 27岁和合并症(例如高血压,心血管疾病,糖尿病或高脂血症)(N = 65,886,625)。进行多变量logistic回归分析以检查控制肥胖倾向的抗肥胖药使用中的种族/种族差异以及需求因素使用非线性BO分解来识别每种易感性,促成因素和需要因素的作用,以解释种族/族裔差异并估计剩余的无法解释的差异。结果:非西班牙裔黑人为46%(优势比[OR]:0.54;与非西班牙裔美国人的白人相比,使用抗肥胖药的可能性降低了95%置信区间[CI]:0.35-0.83),而西班牙裔美国人和非西班牙裔美国人的白人之间没有观察到差异非西班牙裔美国人的白人和黑人之间的差异为0.22个百分点非线性BO分解估计的分解系数为-0.0013,表明如果非西班牙裔美国人的黑人与非西班牙裔美国人的白人具有相似的观察特征,则观察到的差异将高58%(-0.0013 / 0.0022)。年龄,性别,婚姻状况,地区和BMI是分解模型中的重要因素。结论:该研究表明,在肥胖,易感和需要特征方面的差异(婚姻状况除外)不能成功地解释抗肥胖药物使用中的种族/种族差异。个体信念,行为模式和提供者处方模式方面的种族差异对于理解这些差异至关重要? 2013爱思唯尔公司

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