EFFECT OF THE ACA ON INSURANCE FOR CHILDREN WITH PRE-EXISTING - - PowerPoint PPT Presentation

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EFFECT OF THE ACA ON INSURANCE FOR CHILDREN WITH PRE-EXISTING - - PowerPoint PPT Presentation

COLLEGE OF PUBLIC HEALTH AND HUMAN SCIENCES School of Social and Behavioral Health Sciences EFFECT OF THE ACA ON INSURANCE FOR CHILDREN WITH PRE-EXISTING CONDITIONS DIANA GOVIER, MPH JANGHO YOON, PHD JUNE 24 TH , 2017 Agenda Background


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EFFECT OF THE ACA ON INSURANCE FOR CHILDREN WITH PRE-EXISTING CONDITIONS

DIANA GOVIER, MPH JANGHO YOON, PHD

JUNE 24TH, 2017

COLLEGE OF PUBLIC HEALTH AND HUMAN SCIENCES School of Social and Behavioral Health Sciences

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Agenda

  • Background
  • Specific Aims
  • Methods
  • Results
  • Discussion
  • Future Directions
  • Limitations
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Chronic conditions in U.S. children

  • Chronic condition (CC): condition lasting 3 mo.-lifetime1
  • ≈¼ US children have CCs1
  • 5 most frequently reported CCs1
  • Asthma (9%), learning disabilities (7.8%), ADD/ADHD (6.4%),

speech problems (3.7%), oppositional defiant/conduct disorder (3/3%)

  • Vary by age, race/ethnicity, income, place of residence1
  • Childhood CCs are on the rise2
  • More likely insured than healthy counterparts3
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Why should we care?

  • Pre-existing conditions (PECs) insurance exclusions4
  • asthma; diabetes; cancers; mental health conditions; illnesses

that put children at greater risk for needing healthcare5

  • >20,000 denied individual coverage due to PECs6
  • More likely underinsured than healthy counterparts7
  • Increased unmet medical needs, delays in care, use of ER,

hospitalizations, co-morbidities, mortality, financial hardship

  • Decreased medication management, usual source of care,

preventative services8-13

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ACA policy change

Guaranteed issue: prohibition of exclusions and/or differential pricing/benefits based on PECs, health status, claims history, etc14

  • Estimated 31,000 - 72,000 uninsured children would be

able to gain coverage who were previously denied15

  • Estimated 90,000 insured children would gain coverage

for PECs previously excluded15

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Specific aims

Aim I: Examine national trends in insurance for children 5-18 w/ and w/o PECs for years 2008 through 2013. Aim II: Examine effect of guaranteed issue on likelihood

  • f having any insurance, public insurance, and private

insurance for children 5-18 w/PECs

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Methods – Data & study sample

  • 5 overlapping panels of Medical Expenditure Panel

Survey (MEPS) years 2008 – 2013

  • 2011 lag year
  • Oversampling of racial & ethnicity minorities
  • Oversampling of low-income individuals
  • Study sample: 18,701 children 5-18 yrs
  • No exclusion criteria other than age
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Methods – Dependent variables

  • Any insurance (model 1) – binary variable indicating

whether child has any type of insurance

  • Public insurance (model 2) – binary variable indicating

whether child has any public insurance

  • Private insurance (model 3) – binary variable indicating

if child has any private insurance

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Methods – Independent variables

  • Policy implementation (Post) – binary variable

indicating time period

  • Policy period on or after October 1st, 2010
  • Pre-existing condition (PEC) – binary variable indicating

if child has PEC

  • Defined as having asthma, ADD/ADHD, or special healthcare

needs

  • Policy effect (PEC*Post) – interaction term indicating

post-policy time period and presence of PEC

  • Time fixed-effects (T) – month dummy variables for

months Jan, 2008-Dec, 2013 to control for secular trends

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Methods – Model specification

  • Difference-in-differences (DID)
  • Compares ∆ in treated to ∆ in controls as result of policy change16
  • Mimics experimental research design using observational study data16
  • Reduces confounding from unobserved factors16
  • Model specification:

logit 𝑄𝑠(HIit=1) = β0  β1PECit  β2Ti  β3Posti*PECit  X1iβ + X2itβ + εit

  • Covariates
  • X1iβ = time in-varying covariates: race/ethnicity, sex
  • X2itβ = time-varying covariates: age, poverty category, US Census region, MSA
  • Average marginal effects (AME) to estimate effect of policy
  • n children w/PECs
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PEC prevalence increasing over time

Data Source: MEPS HC, 2008-2013 Adjusted for complex survey design effect

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Insured rate among children increased during study period

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Publicly insured rate continued to increase after ACA implementation

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Privately insured rate decreased before ACA then stabilized for children w/PECs

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Uninsured rated decreased before and after ACA implementation

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ACA resulted in significant increase in probability of insurance for children w/PECs

Average marginal effect of guaranteed issue on probability of any insurance for chidren w/PECs Pr(any insurance)

  • Avg. Marginal Effect

0.96** (0.32)

Note: Boostrapped standard errors w/300 repetitions Note: Statistically significant covariates: month, poverty category, age, sex, race, ethnicity, US Census region, metropolitan statistical area * Statistically significant at the 95% level. ** Statistically significant at the 99% level. *** Statistically significant at the 99.9% level.

  • By ≈1.04%
  • = %pt change from policy / pre-ACA % children insured w/PECs
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ACA resulted in sign. increase in probability

  • f pub/priv insurance for children w/PECs
  • By ≈ 4.70% for pub ins & ≈ 2.02% for priv ins (not stat.

sigificant.)

  • = % change from policy / pre-ACA % children insured w/PECs

Average marginal effect of guaranteed issue on probability of insurance for chidren w/PECs Pr(pub insurance) Pr(priv insurance)

  • Avg. Marginal Effect

1.93* 1.11 (0.83) (0.86)

Note: Boostrapped standard errors w/300 repetitions Note: Statistically significant covariates: month, poverty category, age, sex, race, ethnicity, US Census region, metropolitan statistical area * Statistically significant at the 95% level. ** Statistically significant at the 99% level. *** Statistically significant at the 99.9% level.

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Discussion

  • From 2008-2013 decrease in uninsurance for children 5-18
  • Unexpected results for effect of guaranteed issue on public

insurance

  • Protections for children w/PECs could improve further
  • Grandfathered plans are exempt from guaranteed issue
  • Previously 45-55% children w/special HC needs/disability on

grandfathered plans6

  • American Health Care Act (AHCA) makes future uncertain
  • Could change insurance regulations for children w/PECs
  • Allow insurers in states with community rating waivers to vary premiums

based on PEC-status for those with lapses in coverage >=63 days

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Future Directions

  • Guaranteed issue increased access to insurance for

children w/PECs, but important aspects uninvestigated

  • More research needed to comprehensively discuss best

policy-practices for insurance for children w/PECs

  • Health insurance coverage shown to increase access to &

utilization of healthcare services for children w/special healthcare needs18

  • Did guaranteed issue affect healthcare utilization?
  • Did guaranteed issue affect healthcare expenditures?
  • How do these effects vary by region, race/ethnicity, and

family income?

  • How has continuity of coverage changed for children

w/PECs?

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Limitations

  • Definition of PECs limited in detail
  • Geographic indicators only include Census region
  • Does not account for condition-specific carve-outs

prohibited by ACA’s guaranteed issue provision

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References

1. U.S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau. (2011). Child heath USA 2011. Rockville, Maryland: US Department of Health and Human Services. 2. Perrin, J., Bloom, S., & Gortmaker, S. (2007). The increase of childhood chronic conditions in the United States. The Journal of the American Medical Association, 2755-2759. 3. Davidoff, A. (2004). Insurance for children with special healthcare needs: patterns of coverage and burden on families to provide adequate

  • insurance. Pediatrics, 394-403.

4. Department of Health and Human Services. (2010, June 28). Patient Protection and Affordable Care Act: Preexisting Condition Exclusions, Lifetime and Annual Limits, Rescissions, and Patient Protections. Retrieved from Regulations: https://www.regulations.gov/#!documentDetail;D=HHS-OS-2010-0014-0001 5. Kaiser Family Foundation. (2016, September 29). Key facts about the uninsured population. Retrieved from The Henry J Kaiser Family Foundation: http://kff.org/uninsured/fact-sheet/key-facts-about-the-uninsured-population/ 6. Association of Maternal & Child Health Bureaus. (2012). AMCHP issue brief: the affordable care act and children and youth with autism spectrum disorder and other developmental disabilities. Washington, D.C.: AMCHP. 7. Kogan, M., Newacheck, P., Blumberg, S., Ghandour, R., & Singh, G. (2010). Underinsurance amoung children in the United States. New England Journal of Medicine, 841-851. 8. Cassedy, A., Fairbrother, G., & Newacheck, P. (2008). The impact of insurance instabilitiy on children's access, utilization, and satisfaction with health care. Ambulatory Pediatrics, 321-328. 9. Kogan, M., Alexander, G., & Teitelbaum, M. (1995). The effect of gaps in health insurance on continuity of regular source of care among pre-school aged children in the United States. Journal of the American Medical Association, 1429-1435. 10. Olson, L., Tang, S., & Newacheck, P. (2005). Children in the United States with discontinuous health insurance coverage. New England Journal of Medicine, 382-328. 11. Weissman, J., Gatsonis, C., & Epstein, A. (1992). Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. Journal of the American Medical Association, 2388-2394. 12. Collins, S., Davis, K., Doty, M., Kriss, J., & Holmgren, A. (2006, April). Gaps in health insurance: an all-American problem. The Commonwealth Fund. 13. Park, M., Brindis, C., Vaughn, B., Barry, M., Guzman, L., & Berger, A. (2013). Chronic conditions. San Francisco, CA: National Adolescent and Young Adult Health Information Center. 14. Patient Protection and Affordable Care Act. Available at: https://democrats.senate.gov/pdfs/reform/patient-protection-affordable-care-act- as-passed.pdf. Accessed June 10th, 2017. 15. McGinley, L., & Cary, M. (2010, September 23). Kids with preexisting illness get new protection for coverage but hurdles remain. Retrieved from Kaiser Health News: http://khn.org/news/kids-preexisting-conditions/ 16. Angrist, D., & Pischkke, J. (2009). Mostly Harmless Econometrics, An Empiricist's Companion. Princeton, New Jersey: Princeton University Press. 17. Newacheck, P., & Halfton, N. (1998, October 7). Prevalence and impact of disabling chronic conditions in childhood. American Journal of Public Health . Retrieved from Chronic Disease Epidemiology, Prevention, and Control, Fourth Edition: http://ajph.aphapublications.org/doi/abs/10.2105/AJPH.88.4.610 18. Jeffrey, A., & Newacheck, P. (2006). Role of insurance for children wit special healthcare needs: a synthesis of the evidence. Pediatrics, 1027-1038.

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THANK YOU

Contact information: Diana Govier, govierd@oregonstate.edu Jangho Yoon, jangho.yoon@oregonstate.edu COLLEGE OF PUBLIC HEALTH AND HUMAN SCIENCES School of Social and Behavioral Health Sciences