Disappearing Medicaid Enrollment Disparities for US Citizen Children in Immigrant Families: State-Level Trends from 2008 to 2015

2019 ◽  
Vol 19 (3) ◽  
pp. 333-341 ◽  
Author(s):  
Eric E. Seiber ◽  
Evan V. Goldstein
2018 ◽  
Vol 108 ◽  
pp. 384-387
Author(s):  
Victoria Perez ◽  
Joseph Benitez ◽  
Eric Seiber

In 2016, total Medicaid spending, $574.2 billion, represented one-third of state budgets. Descriptive studies indicate that state policymakers adjust social welfare programs during times of financial distress, particularly Medicaid. The challenge of formally estimating this effect is that macroeconomic shocks increase Medicaid enrollment and state-level financial stress. We use an exogenous measure of Medicaid generosity to estimate the elasticity of Medicaid generosity with respect to financial conditions. We find Medicaid generosity is not adjusted during periods of fiscal distress, whether anticipated or not. Instead, we find a counter-cyclical Medicaid effect with generosity increasing with increases in the unemployment rate.


2007 ◽  
Vol 28 (2) ◽  
pp. 151-181 ◽  
Author(s):  
Karen Seccombe ◽  
Heather Hartley ◽  
Jason Newsom ◽  
Kim Hoffman ◽  
Gwen C. Marchand ◽  
...  

This research reports the initial findings of a statewide study that looks at health, insurance, and access to health care among families leaving Temporary Assistance to Needy Families (TANF) for work. Most national and state-level evaluation projects focus primarily on the employment characteristics of TANF leavers and pay little or no attention to health and access to health care. The quantitative data are from a sample of 637 adults in Oregon leaving TANF for work, and they are personalized by qualitative data from a subsample of 90 respondents. Our findings reveal significant barriers to accessing the health care system, even at a time when Medicaid enrollment is considered automatic, in a state with a relatively generous expanded Medicaid program.


2008 ◽  
Vol 98 (11) ◽  
pp. 1996-2003 ◽  
Author(s):  
Stella M. Yu ◽  
Zhihuan J. Huang ◽  
Michael D. Kogan

2019 ◽  
Vol 6 ◽  
pp. 2333794X1987353
Author(s):  
Jessie Kemmick Pintor ◽  
Kathleen Thiede Call

Children in immigrant families are twice as likely to be uninsured as their counterparts, and states may influence these inequities by facilitating or restricting immigrant families’ access to coverage. Our objective was to measure differences in insurance by mother’s documentation status among a nationally representative sample of US-born children in immigrant families and to examine the role of state-level immigrant health care policy—namely, state-level immigrant access to prenatal coverage. Compared with US-born children in immigrant families with citizen mothers, children with undocumented immigrant mothers had a 17.0 percentage point ( P < .001) higher uninsurance rate (8.8 percentage points higher in adjusted models, P < .05). However, in states with nonrestrictive prenatal coverage for immigrants, there were no differences in children’s insurance by mother’s documentation status, while large inequities were observed within states with restrictive policies. Our findings demonstrate the potential for state-level immigrant health care policy to mitigate or exacerbate inequities in children’s insurance.


2018 ◽  
Vol 7 (3) ◽  
pp. 440-463 ◽  
Author(s):  
Michael E Davern ◽  
Bruce D Meyer ◽  
Nikolas K Mittag

AbstractRecent research linking administrative to survey data has laid the groundwork for improvements in survey data products. However, the opportunities have not been fully realized yet. In this article, our main objective is to use administrative-survey linked microdata to demonstrate the potential of data linkage to reduce survey error through model-based blended imputation methods. We use parametric models based on the linked data to create imputed values of Medicaid enrollment and food stamp (SNAP) receipt. This approach to blending data from surveys and administrative data through models is less likely to compromise confidentiality or violate the terms of the data sharing agreements among the agencies than releasing the linked microdata, and we demonstrate that it can yield substantial improvements of estimate accuracy. Using the blended imputation approach reduces root mean squared error (RMSE) of estimates by 81 percent for state-level Medicaid enrollment and by 93 percent for substate area SNAP receipt compared with estimates based on the survey data alone. Given the high level of measurement error associated with these important programs in the United States, data producers should consider blended imputation methods like the ones we describe in this article to create improved estimates for policy research.


2011 ◽  
Vol 12 (1) ◽  
pp. 3-11
Author(s):  
Janet Deppe ◽  
Marie Ireland

This paper will provide the school-based speech-language pathologist (SLP) with an overview of the federal requirements for Medicaid, including provider qualifications, “under the direction of” rule, medical necessity, and covered services. Billing, documentation, and reimbursement issues at the state level will be examined. A summary of the findings of the Office of Inspector General audits of state Medicaid plans is included as well as what SLPs need to do in order to ensure that services are delivered appropriately. Emerging trends and advocacy tools will complete the primer on Medicaid services in school settings.


2007 ◽  
Vol 40 (16) ◽  
pp. 39
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  

2010 ◽  
Vol 69 (3) ◽  
pp. 131-139 ◽  
Author(s):  
Félix Neto

This study investigated mental health problems and their predictors among adolescents from returned immigrant families. The sample consisted of 360 returned adolescents (mean age = 16.8 years; SD = 1.9). The mean duration of a sojourn in Portugal for the sample was 8.2 years (SD = 4.5). A control group of 217 Portuguese youths were also included in the study. Adolescents from immigrant families reported mental health levels similar to those of Portuguese adolescents who have never migrated. Girls showed more mental health problems than boys. Younger adolescents showed fewer mental health problems than older adolescents. Adaptation variables contributed to mental health outcomes even after acculturation variables were accounted for. Implications of the study for counselors are discussed.


2016 ◽  
Vol 37 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Chit Yuen Yi ◽  
Matthew W. E. Murry ◽  
Amy L. Gentzler

Abstract. Past research suggests that transient mood influences the perception of facial expressions of emotion, but relatively little is known about how trait-level emotionality (i.e., temperament) may influence emotion perception or interact with mood in this process. Consequently, we extended earlier work by examining how temperamental dimensions of negative emotionality and extraversion were associated with the perception accuracy and perceived intensity of three basic emotions and how the trait-level temperamental effect interacted with state-level self-reported mood in a sample of 88 adults (27 men, 18–51 years of age). The results indicated that higher levels of negative mood were associated with higher perception accuracy of angry and sad facial expressions, and higher levels of perceived intensity of anger. For perceived intensity of sadness, negative mood was associated with lower levels of perceived intensity, whereas negative emotionality was associated with higher levels of perceived intensity of sadness. Overall, our findings added to the limited literature on adult temperament and emotion perception.


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