Study of C.H.I.L.D. G.A.P.S.* *Children’s Health Insurance Lapses and Discontinuities to Gain better Access through Policy Solutions Jennifer DeVoe Alan.

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Presentation transcript:

Study of C.H.I.L.D. G.A.P.S.* *Children’s Health Insurance Lapses and Discontinuities to Gain better Access through Policy Solutions Jennifer DeVoe Alan Graham Lisa Krois Jeanene Smith

Over 2/3 of Oregon’s uninsured children may be eligible for public coverage. (Oregon Population Study, 2004) Nearly 40% of children enrolled in Oregon’s Medicaid/SCHIP programs “churn” on and off the program within one year. (Fairbrother, et al. “How Stable is Medicaid Coverage?” Health Affairs 2007)

Study Objective: We surveyed low- income parents in Oregon to examine the association between children’s health insurance coverage gaps of different lengths and parental reports of children’s access to healthcare services. Study Hypothesis: Longer insurance coverage gaps will be associated with higher unmet need.

Study Design and Data Collection Mail-return survey of Oregon’s food stamp population. Survey instrument adapted validated items from national surveys. Cross-sectional, multivariable analysis of primary survey data.

We selected a stratified, random sample of all families with children (age 1-18) enrolled in the food stamp program as of January 31, 2005.

Demographics Eligible Sample (n=8,636) Survey Respondents (n=2,681) At Least One Child Enrolled in Public Insurance50.3%54.9% No Children Enrolled in Public Insurance49.7%45.1% Household Monthly Income <$ %28.7% $501-1, %26.5% $1,001-1, %18.2% $1,501-2, %15.4% >$2, %11.2% Age 1 to 4 years of age26.2%25.6% 5 to 9 years of age28.9%30.2% 10 to 14 years of age25.4%26.4% 15 and over19.6%17.8% Race/Ethnicity White, non-Hispanic73.7%75.6% Hispanic, any Race18.5%17.7% Non-Hispanic, non-White7.8%6.7% Study subgroup was demographically similar to the eligible sample and all survey respondents.

Principal Measures KEY INDEPENDENT VARIABLE: Length of health insurance coverage gap OUTCOME VARIABLES: Unmet medical, prescription and dental needs No usual source of care No doctor visits in past year Delayed urgent care

One in four children in Oregon’s food stamp population had a coverage gap within the year.

Children more likely to have coverage gaps of any length: Were over age 14 Were non-white Were Hispanic Had an employed parent Had an uninsured parent Were living in households earning zero income or >100% federal poverty level

** multivariable odds ratio adjusted for age, race/ethnicity, household income, parental employment, place of residence, and whether child had a special healthcare need. Access to Healthcare Services in the Past Year **ADJUSTED ODDS RATIO OR (95% CI) UNMET MEDICAL CARE NEED Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (3.38, 7.68) (8.18, 31.07) 6.58 (3.63, 11.92) 7.64 (3.89, 15.01) DELAYED URGENT CARE Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (1.58, 4.03) 4.58 (1.95, 10.78) 6.81 (3.43, 13.52) 8.85 (3.52, 22.25)

** multivariable odds ratio adjusted for age, race/ethnicity, household income, parental employment, place of residence, and whether child had a special healthcare need. Access to Healthcare Services in the Past Year **ADJUSTED ODDS RATIO OR (95% CI) UNMET DENTAL CARE NEED Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (1.61, 3.21) 5.91 (3.12, 11.19) 6.74 (3.65, 12.44) (6.56, 24.00) UNMET PRESCRIPTION NEED Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (1.58, 3.20) 3.85 (1.96, 7.58) 4.78 (2.74, 8.33) 3.43 (1.78, 6.63)

** multivariable odds ratio adjusted for age, race/ethnicity, household income, parental employment, place of residence, and whether child had a special healthcare need. Access to Healthcare Services in the Past Year **ADJUSTED ODDS RATIO OR (95% CI) NO DOCTOR VISITS Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (0.85, 2.16) 3.64 (1.67, 7.96) 9.18 (4.67, 18.01) 5.00 (2.63, 9.52) NO USUAL SOURCE OF CARE Health Insurance Coverage Gap: No Gap Gap <6 Months Gap 6-12 Months Gap >12 Months Never Insured (1.50, 4.20) 4.68 (2.18, 10.02) 8.48 (4.50, 15.99) (6.13, 27.20)

“I feel it's not right that a family that is trying to make it in life gets knocked back and down…my 10- year-old son lost his health insurance because I got a 39 cent raise in pay.”

“I've heard that it's hard to find doctors who are accepting new OHP patients. We are generally healthy, so we are risking it.”

“I was actually relieved when my husband lost his job because it made my son eligible for coverage again. There is no feeling in the world worse than trying to figure out if you should really take an injured child to the doctor or not because of lack of money.”

Study Limitations Self-reported data from mail-return survey received from 31% of the eligible sample population. Food stamp population may have higher or lower rates of unmet healthcare needs compared with the general low-income population. This is a preliminary cross-sectional analysis and associations cannot be proven causal.

Conclusions Every effort should be made to minimize barriers to continuous health insurance coverage for children. High rates of churning, even if coverage gaps are short, may negatively impact access to healthcare for children.

ACKNOWLEDGEMENTS This study was funded by a HRSA grant through the Office for Oregon Health Policy and Research. Jen DeVoe’s time was funded by a postdoctoral fellowship and a K08 career development award from the Agency for Healthcare Research and Quality (AHRQ). Thanks to the Office for Oregon Health Policy and Research, the Oregon Department of Children, Adults and Families, the Oregon Department of Medical Assistance Programs, and the OHSU Department of Family Medicine WORC group (Working On Research Collaboratively). A special thanks to Bruce Goldberg, Tina Edlund, Jeanene Smith, Janne Boone, Jessica Miller, James Oliver, Rebecca Ramsey and Pooya Naderi, Ron Taylor and Jeff Tharpe.

Demographic VariablesUnmet Medical Need Adjusted OR( 95% CI)* Unmet Prescription Need Adjusted OR( 95% CI)* Unmet Dental Need Adjusted OR( 95% CI)* TOTAL (weighted %)15.1%21.2%24.0% Gap In Coverage No Gap < 6 Month Gap 6-12 Month Gap >12 Month Gap Never Insured (3.38, 7.68) (8.18, 31.07) 6.58 (3.63, 11.92) 7.64 (3.89, 15.01) (1.58, 3.20) 3.85 (1.96, 7.58) 4.78 (2.74, 8.33) 3.43 (1.78, 6.63) (1.61, 3.21) 5.91 (3.12, 11.19) 6.74 (3.65, 12.44) (6.56, 24.00) Child’s Age in (0.62, 1.69) 1.54 (0.94, 2.53) 0.99 (0.59, 1.66) (0.61, 1.34) 0.98 (0.64, 1.50) 1.27 (0.81, 1.97) (1.27, 2.85) 2.67 (1.76, 4.05) 1.74 (1.08, 2.80) Race/Ethnicity Categories White Not Hispanic Hispanic, Any Race Non-White, Non-Hispanic (0.64, 1.87) 2.00 (1.09, 3.69) (0.52, 1.22) 0.56 (0.30, 1.08) (0.43, 1.00) 0.40 (0.22, 0.73) Parental Employment Not Employed Employed (0.79, 1.63) (0.75, 1.37) (0.81, 1.44) Geographic Residence Urban Rural (0.90, 1.82) (0.83, 1.49) (1.06, 1.87) Household Income as a percent of Federal Poverty Level (FPL) Zero Income 1-50% FPL % FPL % FPL >133% FPL (0.46, 1.73) 0.67 (0.34, 1.31) 1.35 (0.68, 2.68) 1.06 (0.49, 2.33) (0.98, 2.97) 1.60 (0.91, 2.82) 2.41 (1.32, 4.39) 2.41 (1.28, 4.56) (0.97, 1.97) 1.23 (0.71, 2.12) 1.89 (1.05, 3.42) 1.42 (0.72, 2.79) Special Healthcare Need No Yes (2.05, 5.50) (1.54, 3.39) (1.58, 3.54)