Impact of a Children's Health Insurance Program on Newly Enrolled Children

Lave, Judith R.; Keane, Christopher; Lin, Chyongchiou J.; Ricci, Edmund M.; Amersbach, Gabriele; LaVallee, Charles P.

doi:10.1001/jama.279.22.1820

Cited by 141 publications

(91 citation statements)

References 16 publications

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“…The findings from this study suggest several areas that may impede the complete enrollment of eligible children. These findings confirm many of the recent works examining the Medicaid-eligible, but uninsured child (Davidoff, Garrett, Makuc, & Schirmer, 2000;Fronstin, 2000;Lave et al, 1998). Moreover, additional analyses were conducted to determine if the uninsured in this study were eligible for these new programs.…”

Section: Discussionsupporting

confidence: 87%

Why are some children still uninsured?

Salsberry

2003

Journal of Pediatric Health Care

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Section: Discussionsupporting

confidence: 87%

Why are some children still uninsured?

Salsberry

2003

Journal of Pediatric Health Care

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“…Past studies have showed the positive association of socioeconomic variables with the individuals intention to purchase health insurance (12)(13)(14). Several empirical studies cited education, income, family size, dependents and health status as variables which were significantly associated with health insurance purchase (15)(16)(17)(18)(19)(20)(21). Therefore, these variables were considered and grouped together while preparing a theoretical framework.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Understanding perception and factors influencing private voluntary health insurance policy subscription in the Lucknow region

Mathur

Paul

Prasad

et al. 2014

Int J Health Policy Manag

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Background: Health insurance has been acknowledged by researchers as a valuable tool in health financing. In spite of its significance, a subscription paralysis has been observed in India for this product. People who can afford health insurance are also found to be either ignorant or aversive towards it. This study is designed to investigate into the socio-economic factors, individuals' health insurance product perception and individuals' personality traits for unbundling the paradox which inhibits people from subscribing to health insurance plans. Methods: This survey was conducted in the region of Lucknow. An online questionnaire was sent to sampled respondents. Response evinced by 263 respondents was formed as a part of study for the further data analysis. For assessing the relationships between variables T-test and F-test were applied as a part of quantitative measuring tool. Finally, logistic regression technique was used to estimate the factors that influence respondents' decision to purchase health insurance. Results: Age, dependent family members, medical expenditure, health status and individual's product perception were found to be significantly associated with health insurance subscription in the region. Personality traits have also showed a positive relationship with respondent's insurance status. Conclusion: We found in our study that socio-economic factors, individuals' product perception and personality traits induces health insurance policy subscription in the region.

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“…We also performed baseline interviews with a comparison sample who enrolled 1 year later to assess possible secular trends in characteristics and previous experiences of new SCHIP enrollees. 50 Parents of children in the comparison cohort completed an identical baseline interview reflecting experiences before enrollment in SCHIP (for comparison of secular trends). …”

mentioning

confidence: 99%

“…Preexisting racial/ethnic disparities have been described among SCHIP enrollees. 49 Although previous studies of SCHIP-like programs in several states [50][51][52][53][54][55][56][57][58][59] and recent studies of SCHIP [60][61][62][63][64][65][66][67][68] have demonstrated improved access to care, 68 these studies have not addressed racial/ethnic disparities during SCHIP. Reduction of racial/ ethnic disparities among enrollees would provide evidence of SCHIP's contribution to national health goals to eliminate racial/ethnic disparities.…”

mentioning

confidence: 99%

Reduction in Racial and Ethnic Disparities After Enrollment in the State Children's Health Insurance Program

Shone¹,

et al. 2005

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ABSTRACT. Background. Racial/ethnic disparities are associated with lack of health insurance. Although the State Children's Health Insurance Program (SCHIP) provides health insurance to low-income children, many of whom are members of racial/ethnic minority groups, little is known about whether SCHIP affects racial/ethnic disparities among children who enroll.Objectives. The objectives of this study were to (1) describe demographic characteristics and previous health insurance experiences of SCHIP enrollees by race, (2) compare racial/ethnic disparities in medical care access, continuity, and quality before and during SCHIP, and (3) determine whether disparities before or during SCHIP are explained by sociodemographic and health system factors.Methods. Pre/post-parent telephone survey was conducted just after SCHIP enrollment and 1 year after enrollment of 2290 children who had an enrollment start date in New York State's SCHIP between November 2000 and March 2001, stratified by race/ethnicity (non-Hispanic white, non-Hispanic black, and Hispanic). The main outcome measures were usual source of care (USC), preventive care use, unmet needs, patterns of USC use, and parent-rated quality of care before versus during SCHIP.Results. Children were white (25%), black (31%), or Hispanic (44%); 62% were uninsured >12 months before SCHIP. Before SCHIP, a greater proportion of white children had a USC compared with black or Hispanic children (95%, 86%, and 81%, respectively). Nearly all children had a USC during SCHIP (98%, 95%, and 98%, respectively). Before SCHIP, black children had significantly greater levels of unmet need relative to white children (38% vs 27%), whereas white and Hispanic children did not differ significantly (27% vs 29%). During SCHIP, racial/ethnic disparities in unmet need were eliminated, with unmet need at 19% for all 3 racial/ethnic groups. Before SCHIP, more white children made all/ most visits to their USC relative to black or Hispanic children (61%, 54%, and 34%, respectively); all improved during SCHIP with no remaining disparities (87%, 86%, and 92%, respectively). Parent-rated visit quality improved for all groups, but preexisting racial/ethnic disparities remained during SCHIP, with improved yet relatively lower levels of satisfaction among parents of Hispanic children. Sociodemographic and health system factors did not explain disparities in either period.Conclusions. Enrollment in SCHIP was associated with (1) improvement in access, continuity, and quality of care for all racial/ethnic groups and (2) reduction in preexisting racial/ethnic disparities in access, unmet need, and continuity of care. Racial/ethnic disparities in quality of care remained, despite improvements for all racial groups. Sociodemographic and health system factors did not add to the understanding of racial/ethnic disparities. SCHIP improves care for vulnerable children and reduces preexisting racial/ethnic disparities in health care. R acial/ethnic disparities in health care delivery are associated with adverse hea...

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Impact of a Children's Health Insurance Program on Newly Enrolled Children

Cited by 141 publications

References 16 publications

Why are some children still uninsured?

Why are some children still uninsured?

Understanding perception and factors influencing private voluntary health insurance policy subscription in the Lucknow region

Reduction in Racial and Ethnic Disparities After Enrollment in the State Children's Health Insurance Program

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