Risk of losing insurance during the transition into adulthood among insured youth with disabilities.
To compare insured youth (age 15-25 years) with and without disabilities on risk of insurance loss. We conducted a cross-sectional study using data from the Survey of Income and Program Participation 2001. Descriptive statistics characterized insured youth who maintained and lost insurance for at least 3 months over a 3-year time frame. We conducted logistic regression to calculate the association between disability and insurance loss. Adjustment variables were gender, race, ethnicity, age, work or school status, poverty status, type of insurance at study onset, state generosity, and an interaction between disability and insurance type. This study includes 2,123 insured youth without disabilities, 320 insured youth with non-severe disabilities, and 295 insured youth with severe disabilities. Thirty-six percent of insured youth without disabilities lost insurance compared to 43% of insured youth with non-severe disabilities and 41% of insured youth with severe disabilities (P = .07). Youth with non-severe disabilities on public insurance have an estimated 61% lower odds of losing insurance (OR: 0.39; 95% CI: 0.16, 0.93; P = .03) compared to youth without disabilities on public insurance. Further, youth with severe disabilities on public insurance have an estimated 81% lower odds of losing insurance (OR: 0.19; 95% CI: 0.09, 0.40; P < .001) compared to youth without disabilities. When examining youth with private insurance, we find that youth with severe disabilities have 1.63 times higher odds (OR: 1.63; 95% CI: 1.03, 2.57; P = .04) of losing health insurance compared to youth without disabilities. Insurance type interacts with disability severity to affect odds of insurance loss among insured youth.
Wang
Grace
G
Institute for Public Health Genetics, University of Washington, Box 357236, Seattle, WA 98195-7236, USA. wangg@u.washington.edu
Grembowski
David
D
Watts
Carolyn
C
D000293:Adolescent; D000328:Adult; D015331:Cohort Studies; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D006233:Persons with Disabilities; D005260:Female; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data*; D007348:Insurance, Health; D008297:Male; D017057:Medically Uninsured; D016017:Odds Ratio; D011446:Prospective Studies; D014481:United States; D055815:Young Adult