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Determinants of children's participation in California's Medicaid and SCHIP programs
Jennifer Kincheloe1, Janice Frates, E Richard Brown
1UCLA Center for Health Policy Research, 10960 Wilshire Blvd, Suite 1550, Los Angeles, CA 90024, USA.
Insights
California
Area of Science:
- Health Services Research
- Public Health Policy
- Health Economics
Background:
- Millions of children remain uninsured despite eligibility for public health insurance programs.
- Understanding enrollment barriers and facilitators is crucial for effective program design and outreach.
Purpose of the Study:
- To develop a predictive model for children's enrollment in California's Medicaid (Medi-Cal) and State Children's Health Insurance Program (Healthy Families).
- To identify key family and county-level factors influencing enrollment in these programs.
Main Methods:
- Utilized 2001 California Health Interview Survey data, outstationed eligibility worker data, and administrative data.
- Employed hierarchical logistic regression analyses to examine family and county-level predictors of enrollment.
Main Results:
- Family factors like immigration status, ethnicity, income, and child's age were significant predictors for Medi-Cal and Healthy Families.
- County-level factors, including "expansion programs," outreach efforts, and worker ratios, also influenced enrollment.
- Parental work hours and urban residence were important for Healthy Families enrollment.
Conclusions:
- Targeted outreach to low-income, immigrant (especially Latino) families and older children is recommended.
- Simplifying application processes and increasing funding for outreach are vital for reaching eligible uninsured children.
- Local health insurance expansion programs positively impact Medi-Cal enrollment.
Objective:
To develop a comprehensive predictive model of eligible children's enrollment in California's Medicaid (Medi-Cal [MC]) and State Children's Health Insurance Program (SCHIP; Healthy Families [HF]) programs.
Data Sources/Study Setting:
2001 California Health Interview Survey data, data on outstationed eligibility workers (OEWs), and administrative data from state agencies and local health insurance expansion programs for fiscal year 2000-2001.
Study Design:
The study examined the effects of multiple family-level factors and contextual county-level factors on children's enrollment in Medicaid and SCHIP.
Data Collection/Extraction Methods:
Simple logistical regression analyses were conducted with sampling weights. Hierarchical logistic regressions were run to control for clustering.
Principal Findings:
Participation in MC and HF programs is determined by a combination of family-level predisposing, perceived need, and enabling/disabling factors, and county-level enabling/disabling factors. The strongest predictors of MC enrollment were family-level immigration status, ethnicity, and income, and the presence of a county-level "expansion program"; and the county-level ratio of OEWs to eligible children. Important HF enrollment predictors included family-level ethnicity, age, number of hours a parent worked, and urban residence; and county-level population size and outreach and media expenditure.
Conclusions:
MC and HF outreach/enrollment efforts should target poorer and immigrant families (especially Latinos), older children, and children living in larger and urban counties. To reach uninsured eligible children, it is important to further simplify the application process and fund selected outreach efforts. Local health insurance expansion programs increase children's enrollment in MC.
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