Completeness of the CHIP and Dual Status Codes in 2017 (Brief)

Completeness of the CHIP and Dual Status Codes in 2017 (Brief)

T-MSIS Analytic Files Data Quality Brief #4132
Published: Oct 24, 2019
Publisher: Baltimore, MD: Centers for Medicare & Medicaid Services
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Authors

Tasnuva Khan

Edward Weizenegger

Kimberly Proctor

Jessie Parker

Key Findings
  • This brief identifies states in which the CHIP code or the dual status code have high rates of missing values or the distribution of values does not conform to expected patterns. The CHIP code can be used to distinguish between Medicaid, Medicaid expansion CHIP, and the separate CHIP populations. The dual status code indicates whether a beneficiary is also dually eligible for Medicare, and if so, the level of Medicaid coverage to which they are entitled.
  • Thirty-eight states have CHIP code data that present a low data quality concern, and an additional eight states have CHIP code data that present a medium data quality concern. In Tennessee, the CHIP code data presents a high data quality concern, because the state did not use the expected codes given the type of program operating in the state. Rhode Island reported no CHIP code data, rendering this data element unusable for analysis. Notably, many of the states in the medium- and high-concern categories had low rates of missing data, but the reported values were inconsistent with the type of CHIP program in the state.
  • Thirty-eight states have dual code data that present a low data quality concern, and another six states have data that present a medium data quality concern due to moderate rates of missing values. Four states have unusable dual code data because of very high rates of missing values.

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