DeCesaro and Hemmeter 2009 — Unmet Health Care Needs and Medical Out-of-Pocket Expenses of SSI Children

SSIchildrenhealth-careMedicaidunmet-needsout-of-pocket-expensesNSCFdisabilityyouth-transitionage-18-redetermination

Summary

DeCesaro and Hemmeter (2009) use the National Survey of Supplemental Security Income (SSI) Children and Families (NSCF; 2001–2002, N=3,155, weighted N=797,958) to profile the health care needs and medical out-of-pocket (MOOP) expenses of SSI children before the transition to adulthood. The central finding is that Medicaid coverage — held by 93% of SSI children — suppresses both unmet needs (9.5% overall) and MOOP expenses ($155/year population average) to levels substantially below comparable disabled child populations. Non-Medicaid insured SSI children are dramatically more exposed: 1.5× higher unmet needs, 4.7× higher MOOP incidence, and 86% higher MOOP amounts. Administrative access barriers are more prevalent than financial barriers. Published in the same Journal of Vocational Rehabilitation (JVR) special issue as Davies, Rupp, and Wittenburg (2009) on the SSI youth transition.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"Only 9 percent of SSI children report delaying or going without health care in the year before the interview and 24 percent report MOOP expenses."

"This research shows fairly good coverage of the medical needs and expenses of SSI youth before they transition to adulthood."

"Non-Medicaid insured SSI children appear to be doubly affected by their insurance status. Not only are they much more likely to have MOOP expenses, but when they have them they are much higher."

My Take

This is a solid descriptive paper with clean logistic regression results. Its primary contribution is providing the pre-transition baseline against which the Hemmeter (2011) age-18 exit effects are measured — without knowing that SSI children have 9.5% unmet needs and 24% MOOP incidence before the transition, the dramatic post-exit deterioration (to 59% unmet needs, 61% uninsured) has no reference point. The fungibility finding (SSI income spent on food and personal items, not medical expenses) is important for program design: it suggests SSI is functioning as a general anti-poverty cash transfer for these families, with Medicaid bearing the health care access function separately. The limitation is that the study is purely descriptive with no causal identification — it cannot establish that Medicaid causes lower unmet needs vs. being correlated with other unobservable characteristics. However, the magnitude of the insurance effects and their consistency across logistic regression specifications make the causal interpretation plausible.