Medicaid expansion and the Medicaid undercount in the American Community Survey
Objective To measure discordance between aggregate estimates of means‐tested coverage from the American Community Survey (ACS) and administrative counts and examine the association of discordance with ACA Medicaid expansion. Data Sources 2010‐2016 ACS and counts of Medicaid and Children's Healt...
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Veröffentlicht in: | Health services research 2019-12, Vol.54 (6), p.1263-1272 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Objective
To measure discordance between aggregate estimates of means‐tested coverage from the American Community Survey (ACS) and administrative counts and examine the association of discordance with ACA Medicaid expansion.
Data Sources
2010‐2016 ACS and counts of Medicaid and Children's Health Insurance Program enrollment from the Centers for Medicare & Medicaid Services.
Study Design
State‐by‐year counts of means‐tested coverage from the ACS were compared to administrative counts using percentage differences. Discordance was compared for states that did and did not adopt expansion using difference‐in‐differences. We then contrasted the effect of expansion on means‐tested coverage estimated from the ACS with results from administrative data.
Data Collection/Extraction
Survey and administrative data.
Principal Findings
One year before expansion there was a 0.8 and 4 percent overcount in expansion and nonexpansion states, respectively. By 2016, there was a 10.64 percent undercount in expansion states vs a 0.02 percent undercount in nonexpansion states. The ACS suggests that expansion increased means‐tested coverage in the full population by three percentage points, relative to five percentage points suggested by administrative records.
Conclusions
Discordance between the ACS and administrative records has increased over time. The ACS underestimates the impact of Medicaid expansion, relative to administrative counts. |
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ISSN: | 0017-9124 1475-6773 |
DOI: | 10.1111/1475-6773.13213 |