Comparing methods of racial and ethnic disparities measurement across different settings of mental health care

  • Le Cook B
  • McGuire T
  • Lock K
 et al. 
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Abstract

INTRODUCTION: The ability to track improvement against racial/ethnic disparities in mental health care is hindered by the varying methods and disparity definitions used in previous research. DATA: Nationally representative sample of whites, blacks, and Latinos from the 2002 to 2006 Medical Expenditure Panel Survey. Dependent variables are total, outpatient, and prescription drug mental health care expenditure. METHODS: Rank- and propensity score-based methods concordant with the Institute of Medicine (IOM) definition of health care disparities were compared with commonly used disparities methods. To implement the IOM definition, we modeled expenditures using a two-part GLM, adjusted distributions of need variables, and predicted expenditures for each racial/ethnic group. FINDINGS: Racial/ethnic disparities were significant for all expenditure measures. Disparity estimates from the IOM-concordant methods were similar to one another but greater than a method using the residual effect of race/ethnicity. Black-white and Latino-white disparities were found for any expenditure in each category and Latino-white disparities were significant in expenditure conditional on use. CONCLUSIONS: Findings of disparities in access among blacks and disparities in access and expenditures after initiation among Latinos suggest the need for continued policy efforts targeting disparities reduction. In these data, the propensity score-based method and the rank-and-replace method were precise and adequate methods of implementing the IOM definition of disparity.

Author-supplied keywords

  • *Data Interpretation, Statistical
  • *Health Care Surveys/mt [Methods]
  • *Healthcare Disparities
  • *Mental Health Services/og [Organization & Adminis
  • Adult
  • African Americans/sn [Statistics & Numerical Data]
  • Aged
  • European Continental Ancestry Group/sn [Statistics
  • Female
  • Health Expenditures/sn [Statistics & Numerical Dat
  • Health Services Accessibility/sn [Statistics & Num
  • Health Status Disparities
  • Healthcare Disparities/mt [Methods]
  • Healthcare Disparities/sn [Statistics & Numerical
  • Hispanic Americans/sn [Statistics & Numerical Data
  • Humans
  • Linear Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Propensity Score
  • Socioeconomic Factors
  • United States

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  • PMID: 20337739

Authors

  • Benjamin Le Cook

  • Thomas G McGuire

  • Kari Lock

  • Alan M Zaslavsky

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