Skip to main navigation Skip to search Skip to main content

Understanding observed and unobserved health care access and utilization disparities among U.S. latino adults

  • Arturo Vargas Bustamante
  • , Hai Fang
  • , John A. Rizzo
  • , Alexander N. Ortega
  • University of California at Los Angeles
  • University of Colorado Denver

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

This study hypothesizes that differences in health care access and utilization exist across Latino adults (>18 years), with U.S. Latino adults of Mexican ancestry demonstrating the worst patterns of access and utilization. The analyses use the National Health Interview Survey (NHIS) data from 1999 to 2007 (N = 33,908). The authors first estimate the disparities in health care access and utilization among different categories of Latinos. They also implement Blinderg-Oaxaca techniques to decompose disparities into observed and unobserved components, comparing Latinos of Mexican ancestry with non-Mexican Latinos. Latinos of Mexican ancestry consistently demonstrate lower health care access and utilization patterns than non-Mexican Latinos. Health insurance and region of residence were the most important factors that explained observable differences. In contrast, language and citizenship status were relatively unimportant. Although a significant share of these disparities may be explained by observed characteristics, disparities because of unobserved heterogeneity among the different Latino cohorts are also considerable.

Original languageEnglish
Pages (from-to)561-577
Number of pages17
JournalMedical Care Research and Review
Volume66
Issue number5
DOIs
StatePublished - Oct 2009

Keywords

  • Decomposition model
  • Health care access and utilization
  • Health care disparities
  • Heterogeneity among Latinos

Fingerprint

Dive into the research topics of 'Understanding observed and unobserved health care access and utilization disparities among U.S. latino adults'. Together they form a unique fingerprint.

Cite this