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Objectives: This study examined the interaction of race-ethnicity and gender in depression screening, receipt of any mental health care, and receipt of adequate care., Methods: Data from electronic health records (2010-2012) of adult primary care patients from a New England urban health care system were used (N=65,079). Multivariate logit regression models were estimated to assess associations between race-ethnicity, gender, and other covariates and depression screening, any depression care among those with a positive screen, and adequate depression care. To measure disparities in utilization, we controlled for need variables but not for non-need variables, including insurance, marital status, and socioeconomic status., Results: Among males and females, blacks and Asians were less likely and Latinos were more likely to be screened for depression compared with whites. Among those with moderate or severe depression, black males and females, Latino males, and Asian males and females were less likely than whites to receive any mental health care. The disparity in screening between blacks and whites was greater among females compared with males. The disparity between Latinos and whites in receipt of any mental health care and of adequate care was greater among males than females., Conclusions: This approach underscored the importance of identifying disparities at each step of depression care by both race-ethnicity and gender. Targeting certain groups in specific stages of care, for example, screening of black females or providing any mental health care and adequate care for Latino males, would be more effective than a blanket approach to disparities reduction.

This article investigates the relationship between quality assurance (QA) and perceptions of the importance of information technology (IT) for information management in the health care industry. This issue is important because effective information management is recognized as a necessary condition for quality management. The unit of analysis of the article is the health care functional department. Data from 34 health care departments were collected and used for the analysis. Four specific hypotheses were proposed and tested. Our results suggest that end-user perceptions of the importance of IT for information management depends on formalization of QA, perceived importance of QA, time since QA was embraced, and number of people in the QA function.