scholarly journals Racial and Ethnic Disparities in Provider-Related Barriers to Health Care for Children in California After the ACA

2019 ◽  
Vol 6 ◽  
pp. 2333794X1982835 ◽  
Author(s):  
Cinthya K. Alberto ◽  
Jessie Kemmick Pintor ◽  
Ryan M. McKenna ◽  
Dylan H. Roby ◽  
Alexander N. Ortega

The aim of this study was to examine disparities in provider-related barriers to health care by race and ethnicity of children in California after the implementation of the Affordable Care Act (ACA). California Health Interview Survey child (0-11 years) survey data from 2014 to 2016 were used to conduct multivariable logistic regressions to estimate the odds of reporting any provider-related barrier, trouble finding a doctor, child’s health insurance not accepted by provider, and child not being accepted as a new patient. Compared with parents of non-Latino white children, parents of non-Latino black, Latino, Asian, and other/multiracial children were not more likely to report experiencing any of the 4 provider-related barrier measures. The associations between children’s race and ethnicity and parents’ reports of provider-related barriers were nonsignificant. Findings demonstrate that there are no significant racial/ethnic differences in provider-related barriers to health care for children in California in the post-ACA era.

PEDIATRICS ◽  
2003 ◽  
Vol 112 (Supplement_E1) ◽  
pp. e521-e532
Author(s):  
Laura P. Shone ◽  
Andrew W. Dick ◽  
Cindy Brach ◽  
Kim S. Kimminau ◽  
Barbara J. LaClair ◽  
...  

Background. Elimination of racial and ethnic disparities in health has become a major national goal. The State Children’s Health Insurance Program (SCHIP) has the potential to reduce disparities among the children who enroll if they exhibit the same disparities that have been documented in previous studies of low-income children. To determine the potential impact of SCHIP on racial and ethnic disparities, it is critical to assess baseline levels of health disparities among children enrolling in SCHIP. Objective. To use data from the Child Health Insurance Research Initiative (CHIRI) to 1) describe the sociodemographic profile of new enrollees in SCHIP in Alabama, Florida, Kansas, and New York; 2) determine if there were differences in health insurance and health care experiences among white, black, and Hispanic SCHIP enrollees before enrollment in SCHIP; and 3) explore whether race or ethnicity, controlled for other factors, affected pre-SCHIP access to health coverage and health care. Setting. SCHIP programs in Alabama, Florida, Kansas, and New York, which together include 26% of SCHIP enrollees nationwide. Design. Telephone interview (mailed survey in Alabama) about the child’s health, health insurance, and health care experiences conducted shortly after SCHIP enrollment to assess experience during the time period before SCHIP. Sample. New SCHIP enrollees (0–17.9 years old in Alabama, Kansas, and New York and 11.5–17.9 years old in Florida). Stratified sampling was performed in Kansas and New York, with results weighted to reflect statewide populations of new SCHIP enrollees. Measures. Sociodemographic characteristics including income, education, employment, and other characteristics of the child and the family, race and ethnicity (white non-Hispanic, black non-Hispanic, and Hispanic [any race]), prior health insurance, health care access and utilization, and health status. Analyses. Bivariate analyses were used to compare baseline measures upon enrollment for white, black, and Hispanic SCHIP enrollees. Multivariate analyses were performed to assess health status and health care access measures (prior insurance, presence of a usual source of care (USC), and use of preventive care), controlling for demographic factors described above. Weighted analyses (where appropriate) were performed by using SPSS, STATA, or SUDAAN. Results. Racial and ethnic composition varied across the SCHIP cohorts studied, with black and Hispanic children comprising the following proportion of enrollees, respectively: Alabama, 33% and <1%; Florida, 16% and 26%; Kansas, 12% and 15%; and New York, 24% and 36%. Black and Hispanic children were more likely to reside in single-parent and lower-income families. With some variation by state, children from minority groups were more likely to report poorer health status than were white children. Relative to white children, children from minority groups in Florida and New York were more likely to have been uninsured for the entire year before SCHIP enrollment. In all states, children from minority groups who had prior coverage were more likely to have previously been enrolled in Medicaid than in private health insurance and were less likely to have had employer-sponsored coverage compared with white children. Except in Alabama, there was a difference in having a USC, with children from minority groups less likely to have had a USC before SCHIP enrollment compared with white children. No consistent pattern of health care utilization before SCHIP was noted across states with respect to race or ethnicity. Findings from multivariate analyses, controlling for sociodemographic factors, generally confirmed that black and Hispanic children were more likely to have lacked insurance or a USC before enrollment in SCHIP and to have poorer health status compared with white children. Conclusions. SCHIP is enrolling substantial numbers of racial and ethnic minority children. There are baseline racial and ethnic disparities among new enrollees in SCHIP, with black and Hispanic children faring worse than white children on many sociodemographic and health system measures, and there are differences among states in the prevalence and magnitude of these disparities. After controlling for sociodemographic factors, these disparities persisted. Implications for Monitoring and Improving SCHIP. SCHIP has the potential to play a critical role in efforts to eliminate racial and ethnic disparities in health among the children it serves. However, study findings indicate that programmatic efforts are necessary to ensure that disparities are not perpetuated. Program effectiveness and outcomes should be monitored by race and ethnicity to ensure equity in access, use, and outcomes across all racial and ethnic groups. Assessing the health characteristics and needs of new SCHIP enrollees can provide a benchmark for evaluating the program’s impact on eliminating racial and ethnic disparities in health and inform service delivery enhancements.


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Nichole Nidey ◽  
George L. Wehby

Background: There is a growing interest in health services research of orofacial clefts (OFC) in the United States. The objective of this study is to summarize the empirical knowledge to date about barriers to health care for children with OFC. Methods: We completed a systematic literature review to identify articles on barriers to health care for children with OFC in the United States. Pubmed, Embase, CINAHL, and Medline were searched from their dates of origin through June 2018 using a combination of key terms related to access and barriers to health care. Case reports and studies of populations outside of the United States were excluded. Results: 4079 publications were identified using our search strategy. After a title and abstract review, 18 were included in our review as they met inclusion criteria. These studies examined health care costs, health insurance coverage, access to team care, geographic barriers, adequacy of training of community-based providers in providing services to children with OFC, and socioeconomic and demographic factors. The key findings indicate much higher health care costs for children with OFC than unaffected children early in childhood, racial/ethnic disparities in certain access measures, and inadequate insurance coverage, distance to teams, and inadequate training of community-based providers in OFC-specific services as potential areas of concern. Except for studies on health care costs, the evidence is largely based on relatively small and primarily descriptive studies. Conclusions: The extant literature documents high health care costs for OFC treatments and suggests inadequate insurance coverage, long distance to cleft teams, and racial/ethnic disparities as critical factors related to access. We discuss multiple future research priorities. Among these, understanding the impacts of variation between states in mandates for private insurance benefits and generosity in Medicaid coverage on access to care as well as effects of differences in provider reimbursements are particularly understudied areas that can be meaningful for policymaking aimed at improving access and health outcomes of children with OFC. Examining access throughout childhood and later in life and employing robust designs and population-representative data are also important research and methodological extensions of the current literature.


Medical Care ◽  
2014 ◽  
Vol 52 ◽  
pp. S51-S63 ◽  
Author(s):  
Jana J. Peterson-Besse ◽  
Emily S. Walsh ◽  
Willi Horner-Johnson ◽  
Tawara D. Goode ◽  
Barbara Wheeler

Author(s):  
Celeste Campos-Castillo ◽  
Denise Anthony

Abstract Objective Widespread technological changes, like the rapid uptake of telehealth in the US during the COVID-19 pandemic, risk creating or widening racial/ethnic disparities. We conducted a secondary analysis of a cross-sectional, nationally representative survey of internet users to evaluate whether there were racial/ethnic disparities in self-reported telehealth use early in the pandemic. Materials and Methods The Pew Research Center fielded the survey March 19–24, 2020. Telehealth use because of the pandemic was measured by asking whether respondents (N = 10 624) “used the internet or e-mail to connect with doctors or other medical professionals as a result of the coronavirus outbreak.” We conducted survey-weighted logistic regressions, adjusting for respondents’ socioeconomic characteristics and perceived threat of the pandemic to their own health (eg, no threat, minor, major). Results Approximately 17% of respondents reported using telehealth because of the pandemic, with significantly higher unadjusted odds among Blacks, Latinos, and those identified with other race compared to White respondents. The multivariable logistic regressions and sensitivity analyses show Black respondents were more likely than Whites to report using telehealth because of the pandemic, particularly when perceiving the pandemic as a minor threat to their own health. Discussion Black respondents are most likely to report using telehealth because of the COVID-19 pandemic, particularly when they perceive the pandemic as a minor health threat. Conclusion The systemic racism creating health and health care disparities has likely raised the need for telehealth among Black patients during the pandemic. Findings suggest opportunities to leverage a broadly defined set of telehealth tools to reduce health care disparities postpandemic.


2020 ◽  
Vol 110 (6) ◽  
pp. 857-862
Author(s):  
Stephanie M. Hernandez ◽  
P. Johnelle Sparks

Objectives. To examine the relationship between minoritized identity and barriers to health care in the United States. Methods. Nationally representative data collected from the 2013 to 2017 waves of the National Health Interview Survey were used to conduct descriptive and logistic regression analyses. Men and women were placed in 1 of 4 categories: no minoritized identities, minoritized identities of race/ethnicity (MIoRE), minoritized identities of sexuality (MIoS), or minoritized identities of both race/ethnicity and sexuality (MIoRES). Five barriers to health care were considered. Results. Relative to heterosexual White adults and after controlling for socioeconomic status, adults with MIoRE were less likely to report barriers, adults with MIoS were more likely to report barriers, and adults with MIoRES were more likely to report barriers across 2 of the study measures. Conclusions. Barriers to care varied according to gender, minoritized identity, and the measure of access to health care itself. Public Health Implications. Approaching health disparities research using an intersectional lens moves the discussion from examining individual differences to examining the role of social structures such as the health care system in maintaining and reproducing inequality.


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