Dataset Information

Which states enroll their Medicaid-eligible, citizen children with immigrant parents?

ABSTRACT:

Objective

To identify which states achieve comparable enrollment rates for Medicaid-eligible, citizen children with immigrant and nonimmigrant parents.

Data source

A total of 810,345 Medicaid-eligible, citizen children drawn from the 2008-2010 American Community Survey.

Study design

This study estimates a state fixed-effects probit model of uninsured status for Medicaid-eligible, citizen children. State and immigrant family interaction variables test whether citizen children in immigrant families have a higher probability of remaining uninsured compared to children in nonimmigrant families. Simulations predict the uninsured rates for Medicaid eligible children in immigrant and nonimmigrant families and rank states by the differences between the two groups.

Principal findings

While some states have insignificant and near zero differences in predicted uninsured rates, many states have enrollment disparities reaching 20 percent points between citizen children with immigrant and nonimmigrant parents.

Conclusions

Many states have large differences in enrollment rates between their Medicaid-eligible, citizen children with immigrant and nonimmigrant parents. Addressing these enrollment disparities could improve the health status of citizen children in immigrant families and earn Children's Health Insurance Program Reauthorization Act bonus payments for many states.

SUBMITTER: Seiber EE

PROVIDER: S-EPMC3626352 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Publications

Which states enroll their Medicaid-eligible, citizen children with immigrant parents?

Seiber Eric E EE

Health services research 20120925 2 Pt 1

<h4>Objective</h4>To identify which states achieve comparable enrollment rates for Medicaid-eligible, citizen children with immigrant and nonimmigrant parents.<h4>Data source</h4>A total of 810,345 Medicaid-eligible, citizen children drawn from the 2008-2010 American Community Survey.<h4>Study design</h4>This study estimates a state fixed-effects probit model of uninsured status for Medicaid-eligible, citizen children. State and immigrant family interaction variables test whether citizen childre ...[more]

PMID: 23003669

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Project description:BackgroundRestrictive state laws aimed at immigrants can have unintended consequences for health insurance coverage of United States citizens in immigrant families due to both actual barriers created by the laws and perceived barriers among immigrants. Increasing numbers of children in the U.S. are part of immigrant families, and these children are more likely to be living in poverty than their counterparts in native families. Immigrant restrictive policies could lead to reduced access to Medicaid and CHIP even for citizen children in immigrant families.MethodsUsing data from the Current Population Survey's (CPS) March Supplement, linear probability models with difference-in-differences (DD) estimates compare probability of enrollment in Medicaid/CHIP among low-income U.S. citizen children in immigrant families and low-income children in native families and U.S. citizen children in immigrant families in states that did not adopt restrictive legislation, in order to estimate the impact of restrictive state laws aimed at immigrants. An additional model explores the effect of mother's citizenship on enrollment among all immigrant families in states with and without restrictive legislation.ResultsResults suggest a significant chilling effect where the magnitude of the effect varies according to family demographics and by the types of laws being passed. Immigrant restrictive social welfare laws being adopted have a strong negative effect on U.S. citizen children in immigrant families' enrollment in Medicaid/CHIP, a 5.5 percentage point reduction in coverage. Among the subsample of only immigrant families, results point toward a global chilling effect created by an overall restrictive policy environment. All immigrant restrictive related laws, including those aimed at education, job restriction, identification access, and social welfare restrictions have a significant and negative impact on access to public insurance for U.S. citizen children with non-citizen mothers.ConclusionsThis research shows that the unintended consequence of restrictive state legislation aimed at immigrants is the reduction in access to Medicaid and CHIP by low-income U.S. citizen children living in immigrant families. Reduced access to health insurance can increase unmet medical needs for an already vulnerable group.

Project description:BackgroundRisk of being diagnosed with different developmental disorders is found to vary with immigrant background. Knowledge about such differences in Norway are a starting point for equity in health services quality, and for early identification and prevention. Our objective was to assess the risk of receiving diagnoses of developmental disorders among children born in Norway (2006-2017) to two or one immigrant parent compared to children with two Norwegian-born parents.MethodsInformation on developmental disorders was from the Norwegian Patient Register (NPR) and information on immigrant background, parental country of origin, parental education, and household income from Statistics Norway. We estimated hazard ratios (HR) with Cox proportional hazard regressions. With children with Norwegian background as reference category, we estimated HRs for immigration background and region of origin. All analyses were adjusted for sex, year of birth, parental education, and household income.ResultsChildren with two immigrant parents had a lower risk of receiving any developmental disorder diagnosis [HR 0.80 (95% CI 0.77, 0.82)] than children with Norwegian background, and lower risk of being diagnosed with attention deficit hyperactivity disorder (ADHD) diagnosis [HR 0.24 (95% CI 0.22, 0.27)], learning difficulties diagnosis [HR 0.39 (95% CI 0.33, 0.47)], and behavioral and emotional disorders [HR 0.52 (95% CI 0.49, 0.55)]. Children with immigrant parents had higher hazard than Norwegian background children of autism spectrum disorder (ASD) [HR 2.21 (95% CI 2.04, 2.39)], mental retardation [HR 1.84 (95% CI 1.64, 2.07)], language disorders [HR 1.30 (95% CI 1.20, 1.40)], and unspecified developmental disorders [HR 1.22 (95% CI 1.17, 1.28)]. Children with only one immigrant parent had lower risk of diagnoses than children of two immigrants.ConclusionRisk of receiving a diagnosis of various developmental disorders varied substantially by immigrant background. Understanding the underlying mechanisms of these differences is warranted to ensure equity in health services and timely intervention.

Project description:ObjectivesExpansion of insurance eligibility is associated with positive health outcomes. We compared uninsurance and health care utilization for (1) all children, and (2) children in immigrant families (CIF) and non-CIF who resided inside and outside of the seven US states/territories offering public health insurance to children regardless of documentation status ("extended-eligibility states/territories").MethodsUsing the cross-sectional, nationally representative National Survey of Children's Health-2019, we used survey-weighted, multivariable Poisson regression to assess the association of residence in nonextended- versus extended-eligibility states/territories with uninsurance and with health care utilization measures for (1) all children, and (2) CIF versus non-CIF, adjusting for demographic covariates.ResultsOf the 29 433 respondents, the 4035 (weighted 27.2%) children in extended- versus nonextended-eligibility states/territories were more likely to be CIF (27.4% vs 20.5%, P < .001), 12 to 17 years old (37.2% vs 33.2%, P = .048), non-White (60.1% vs 45.9%, P < .001), and have a non-English primary language (20.6% vs 11.1%, P < .001).The relative risk of uninsurance for children in nonextended- versus extended-eligibility states/territories was 2.0 (95% confidence interval 1.4-3.0), after adjusting for covariates. Fewer children in extended- versus nonextended-eligibility states/territories were uninsured (adjusted prevalence 3.7% vs 7.5%, P < .001), had forgone medical (2.2% vs 3.1%, P = .07) or dental care (17.1% vs 20.5%, P = .02), and had no preventive visit (14.3% vs 17.0%, P = .04). More CIF than non-CIF were uninsured, regardless of residence in nonextended- versus extended-eligibility states/territories: CIF 11.2% vs 5.7%, P < .001; non-CIF 6.1% vs 3.1% P < .001.ConclusionsResidence in nonextended-eligibility states/territories, compared with in extended-eligibility states/territories, was associated with higher uninsurance and less preventive health care utilization.

Project description:ImportanceDual-eligible older adults rely on Medicaid to pay for Medicare premiums and cost sharing in addition to supplemental services including dental and long-term care. However, the unique experiences of dual-eligible older adults with Medicaid unwinding remain unknown.ObjectiveTo assess the awareness and experiences of dual-eligible older adults with Medicaid redetermination.Design, setting, and participantsA cross-sectional national survey of community-dwelling US adults aged 65 years or older with incomes less than or equal to 100% of the federal poverty level, via internet and telephone, was conducted from January 23 through February 19, 2024. Participants were recruited from NORC probability-based and 2 additional national nonprobability panels.Main outcomes and measuresWeighted percentage values for respondent awareness of Medicaid redeterminations, experiences navigating reenrollment, and cost-related barriers to accessing care.ResultsOf 843 respondents, most were female (62.9%), aged 65 to 74 years (62.3%), and had completed up to high school education (72.3%). Overall, 16.1% (95% CI, 12.4%-19.9%) had heard a lot and 34.6% (95% CI, 28.9%-40.4%) a little about states returning to Medicaid renewals; 49.0% (95% CI, 43.0%-55.0%) heard nothing at all. A total of 45.1% completed a Medicaid renewal, 37.0% did not complete a renewal, and 17.7% did not know about renewal requirements. A total of 87.7% maintained Medicaid, 5.9% lost Medicaid but got it back, and 5.5% lost Medicaid and did not get it back. In the last 6 months, 7.7% reported delaying or forgoing care due to cost. Delayed or forgone care was more common among those who lost Medicaid and did not get it back (18.4%) and those who lost Medicaid but got it back (30.6%) compared with those who maintained Medicaid (5.5%). Cost-related barriers were more common for dental (25.1%) and home health services (18.5%), which are frequently covered by Medicaid.Conclusions and relevanceThe findings highlight a need to address informational gaps and navigational barriers related to Medicaid unwinding among older adults with dual eligibility for Medicare and Medicaid. Addressing these gaps may help to avoid Medicaid losses that contribute to difficulties accessing care.

Project description:ImportanceMore than 4 million Medicare beneficiaries have enrolled in dual-eligible Special Needs Plans (D-SNPs), and coordination-only D-SNPs are common. Little is known about the impact of coordination-only D-SNPs on Medicaid-covered services and spending, including long-term services and supports, which are financed primarily by Medicaid.ObjectiveTo evaluate changes in Medicaid fee-for-service (FFS) spending before and after new enrollment in coordination-only D-SNPs vs new enrollment in non-D-SNP Medicare Advantage (MA) plans among community-living beneficiaries enrolled in both Medicare and North Carolina Medicaid.Design, setting, and participantsThis cohort study applied a new user, active comparator design to control for selection into MA and inverse probability of treatment weighting to improve the comparability between groups. The cohort included community-living dual-eligible Medicare and Medicaid beneficiaries in North Carolina with 365 days of Medicare FFS enrollment prior to new enrollment in D-SNP (treatment) or other MA plan (active comparator). Linked 100% Medicare and North Carolina Medicaid claims data (2014-2017) provided payments across both payers prior to MA enrollment; after MA enrollment, payments for Medicaid-funded services and supplemental Medicaid payments for Medicare-funded services were observed. Data were analyzed from August 2023 to November 2024.ExposureNew D-SNP enrollment.Main outcomes and measuresOutcomes included annualized 1-year Medicaid FFS spending overall and by claim type, including inpatient, outpatient, carrier, home health, personal care services, and behavioral health services.ResultsAmong 8869 participants in the D-SNP cohort, 4762 (53.7%) were younger than 65 years, 5833 (65.8%), were female, and 975 (11.0%) resided in rural areas. After inverse probability of treatment weighting, characteristics were similar among the comparison MA cohort of 4389 participants (4706 [53.2%] aged <65 years; 5739 [64.9%] female; 971 [11.0%] rural). There were no significant differences in Medicaid FFS spending per person-year (PPY) at baseline or differential change in the year following new enrollment (mean marginal effect, -$387 [95% CI, -$1274 to $501) between groups. There were significant differences between groups in the change in spending on long-term services and supports, with maintained spending on community-based personal care services following new enrollment in D-SNPs compared with reductions for other MA, resulting in a relative increase of $343 (95% CI, $147 to $539).Conclusions and relevanceThis cohort study found that coordination-only D-SNPs was associated with maintained North Carolina Medicaid FFS spending levels for long-term services and supports compared with other MA plans, despite limited integration requirements. However, to reduce or delay nursing home transitions, higher levels of integration may be necessary.

Dataset Information

Which states enroll their Medicaid-eligible, citizen children with immigrant parents?

Objective

Data source

Study design

Principal findings

Conclusions

Publications

Which states enroll their Medicaid-eligible, citizen children with immigrant parents?

Similar Datasets

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