• Junling Wang, Shelley I White-Means, Meghan A Hufstader, and Genene D Walker.
• University of Tennessee College of Pharmacy, Memphis, Tennessee 38163, USA. jwang26@utmem.edu <jwang26@utmem.edu>
• Curr Med Res Opin. 2007 Apr 1; 23 (4): 853863853-63.

ObjectivesPrevious studies have examined racial and ethnic disparities in the use of selective serotonin reuptake inhibitors (SSRI). This study aims to examine the economic implications of these disparities.Research Design And MethodsIn this retrospective observational study, the study sample was adult survey respondents with a diagnosis of depression from the Medical Expenditure Panel Survey (2002-2003). SSRI use was measured as the number of times when SSRIs were obtained. The racial and ethnic disparities in SSRI use were examined employing a negative binomial model. The economic implications of disparities were explored using a linear regression with SSRI use as an independent variable. Interaction terms between the variable for SSRI use and dummy variables for racial and ethnic groups were included to explore whether the relationships between SSRI use and health expenditures differ across racial and ethnic groups.ResultsThe mean number of times of SSRI use was higher for non-Hispanic whites than non-Hispanic blacks (3.02 vs. 1.79; p < 0.05) and Hispanic whites (3.02 vs. 1.68; p < 0.05). These differences were still significant after adjusting for covariates (p < 0.05). In the multivariate analysis, each time of SSRI use was associated with health expenditures of $301 higher. Neither dummy variables for racial and ethnic groups nor the interaction terms between these dummy variables and the variable for SSRI use were significant.ConclusionsThe lower use of SSRIs among minorities compared to non-Hispanic whites is associated with lower health expenditures among minorities. SSRI may be a proxy for improved access to health care due to under-treatment of depression in general. The main limitation of this study is that its observational nature does not allow the researchers to determine whether the association between SSRI use and the increase in health expenditures is a causal effect.

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