This paper considers the impact of community-level variables over and above the effects of individual characteristics on healthcare access of low-income children and adults residing in large metropolitan statistical areas (MSAs). Further, we rank MSAs' performance in promoting healthcare access for their low-income populations. The individual-level data come from the 1995 and 1996 National Health Interview Survey (NHIS). The community-level variables are derived from multiple public-use data sources. The outcome variable is whether low-income individuals received a physician visit in the past twelve months. The proportion receiving a visit by MSA varied from 63% to 99% for children and from 62% to 83% for adults. Access was better for individuals with health insurance and a regular source of care and for those living in communities with more federally-funded health centers. Children residing in MSA.

The framework presented in this article extends the Andersen behavioral model of health services utilization research to examine the effects of contextual determinants of access. A conceptual framework is suggested for selecting and constructing contextual (or community-level) variables representing the social, economic, structural, and public policy environment that influence low-income people's use of medical care. Contextual variables capture the characteristics of the population that disproportionately relies on the health care safety net, the public policy support for low-income and safety-net populations, and the structure of the health care market and safety-net services within that market. Until recently, the literature in this area has been largely qualitative and descriptive and few multivariate studies comprehensively investigated the contextual determinants of access. The comprehensive and systematic approach suggested by the framework will enable researchers to strengthen the external validity of results by accounting for the influence of a consistent set of contextual factors across locations and populations. A subsequent article in this issue of Inquiry applies the framework to examine access to ambulatory care for low-income adults, both insured and uninsured.

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Patterns of CAM use and ethnic-specific CAM use vary across racial/ethnic groups. Evaluation of CAM use in ethnically diverse populations should recognize ethnic-specific modalities and variation across ethnicity.

The cultural and linguistic diversity of the U.S. population presents challenges to the design and implementation of population-based surveys that serve to inform public policies. Information derived from such surveys may be less than representative if groups with limited or no English language skills are not included. The California Health Interview Survey (CHIS), first administered in 2001, is a population-based health survey of more than 55,000 California households. This article describes the process that the designers of CHIS 2001 underwent in culturally adapting the survey and translating it into an unprecedented number of languages: Spanish, Chinese, Vietnamese, Korean, and Khmer. The multiethnic and multilingual CHIS 2001 illustrates the importance of cultural and linguistic adaptation in raising the quality of population-based surveys, especially when the populations they intend to represent are as diverse as California's.