Minority preferences and disease types for non-emergent emergency department usage in a CHIP population

Background. Of the over five million annual pediatric visits to U.S. emergency departments, one-third to one-half are for non-emergent conditions. Minorities are more likely to utilize the emergency department (ED) for non-emergent conditions. Very little research has analyzed the role of illness type, perceived need, or family preferences in explaining this disparity. ^ Objectives. This study examined racial-ethnic differences in preferences for care among non-emergent users of the ED. ^ Research design. A random selection of pediatric non-emergent ED users within a single CHIP managed care plan were surveyed regarding attitudes and health care preferences. Preferences for ED utilization were analyzed by racial-ethnic category, controlling for illness type, child and guardian age, education level, language, and perceived need. ^ Results. A total of 250 families were surveyed. Most respondents reported having a regular doctor, satisfaction with their physician, and ready access to their physician. Fifteen percent of White, 39% of Hispanic, and 38% of Black families reported they preferred the emergency department for ill care. In multivariate analysis, Whites families were significantly less likely to prefer the emergency department for ill visits (odds ratio, 0.12; 95% confidence interval 0.03-0.55) compared to Blacks and Hispanics. ^ Conclusions. Racial-ethnic disparities in non-emergent ED utilization may be partially explained by different preferences for care. ^ Key words: children, emergency department, preferences for care, disparities ^

A comparative analysis of CHIP Perinatal policy in twelve states

The purpose of this comparative analysis of CHIP Perinatal policy (42 CFR § 457) was to provide a basis for understanding the variation in policy outputs across the twelve states that, as of June 2007, implemented the Unborn Child rule. This Department of Health and Human Services regulation expanded in 2002 the definition of “child” to include the period from conception to birth, allowing states to consider an unborn child a “targeted low-income child” and therefore eligible for SCHIP coverage. ^ Specific study aims were to (1) describe typologically the structural and contextual features of the twelve states that adopted a CHIP Perinatal policy; (2) describe and differentiate among the various designs of CHIP Perinatal policy implemented in the states; and (3) develop a conceptual model that links the structural and contextual features of the adopting states to differences in the forms the policy assumed, once it was implemented. ^ Secondary data were collected from publicly available information sources to describe characteristics of states’ political system, health system, economic system, sociodemographic context and implemented policy attributes. I posited that socio-demographic differences, political system differences and health system differences would directly account for the observed differences in policy output among the states. ^ Exploratory data analysis techniques, which included median polishing and multidimensional scaling, were employed to identify compelling patterns in the data. Scaled results across model components showed that economic system was most closely related to policy output, followed by health system. Political system and socio-demographic characteristics were shown to be weakly associated with policy output. Goodness-of-fit measures for MDS solutions implemented across states and model components, in one- and two-dimensions, were very good. ^ This comparative policy analysis of twelve states that adopted and implemented HHS Regulation 42 C.F.R. § 457 contributes to existing knowledge in three areas: CHIP Perinatal policy, public health policy and policy sciences. First, the framework allows for the identification of CHIP Perinatal program design possibilities and provides a basis for future studies that evaluate policy impact or performance. Second, studies of policy determinants are not well represented in the health policy literature. Thus, this study contributes to the development of the literature in public health policy. Finally, the conceptual framework for policy determinants developed in this study suggests new ways for policy makers and practitioners to frame policy arguments, encouraging policy change or reform. ^

Evaluation of CHIP perinatal program outcomes in Harris County, Texas

This study compared initial year trends in prenatal care and birth outcomes of women enrolled in the Texas Children's Health Insurance Program (CHIP) Perinatal program to trends in Medicaid program women. The study utilized claims data from Community Health Choice (CHC), a health plan in Harris County, Texas that provides coverage to both populations. Quarterly data was analyzed and compared for the first two years of the CHIP Perinatal program (2007-2008) to determine if outcome trends for the CHIP program improved over the outcome trends seen with those enrolled in Medicaid. Study findings indicate an increase in the quarterly prenatal care utilization for the CHIP Perinatal population from 2007 to 2008 and the associated birth weights of babies delivered also had marginal improvements during the same timeframe. Enrollees in Medicaid continued to have overall better outcomes than those enrolled within the CHIP Perinatal program. However, the study showed that the rate of improvement in both prenatal care utilization and birth outcomes were greater for the CHIP Perinatal enrollees than those enrolled in Medicaid. ^ The majority of these improvements were significant when comparing each coverage program and from year to year. Lastly, the study showed that there was a correlation between prenatal care utilization and birth outcomes. However, further analysis of the data could not conclusively indicate that access to prenatal care services provided by the CHIP Perinatal program contributed to the increases observed in utilization and birth outcomes for the study's sample population.^