OBJECTIVE: To assess the quality of the Current Population Survey's (CPS) Child Health Insurance Program (CHIP) data. DATA SOURCES: Linked 2000-2004 Medicaid Statistical Information System (MSIS) and the 2001-2004 CPS. DATA COLLECTION METHODS: Centers for Medicare & Medicaid Services provided the Census Bureau with its MSIS file. The Census Bureau linked the MSIS to the CPS data within its secure data analysis facilities. STUDY DESIGN: We compared responses to the CPS health insurance items with Medicaid and CHIP status according to the MSIS. PRINCIPAL FINDINGS: CHIP reporting in the CPS is unreliable. Only 10-30 percent of those with CHIP (but not Medicaid) report this type of coverage in the CPS. Many with CHIP report Medicaid coverage, so the reporting error for a Medicaid-CHIP composite is smaller, but still substantial. CONCLUSIONS: The quality of the CPS CHIP information renders it effectively unusable for health policy analysis. Analysts should consider using a Medicaid-CHIP composite for CPS-based analyses.
OBJECTIVE: To assess the quality of the Current Population Survey's (CPS) Child Health Insurance Program (CHIP) data. DATA SOURCES: Linked 2000-2004 Medicaid Statistical Information System (MSIS) and the 2001-2004 CPS. DATA COLLECTION METHODS: Centers for Medicare & Medicaid Services provided the Census Bureau with its MSIS file. The Census Bureau linked the MSIS to the CPS data within its secure data analysis facilities. STUDY DESIGN: We compared responses to the CPS health insurance items with Medicaid and CHIP status according to the MSIS. PRINCIPAL FINDINGS: CHIP reporting in the CPS is unreliable. Only 10-30 percent of those with CHIP (but not Medicaid) report this type of coverage in the CPS. Many with CHIP report Medicaid coverage, so the reporting error for a Medicaid-CHIP composite is smaller, but still substantial. CONCLUSIONS: The quality of the CPS CHIP information renders it effectively unusable for health policy analysis. Analysts should consider using a Medicaid-CHIP composite for CPS-based analyses.
Entities:
Keywords:
Insurance; Law, Medicaid; Politics; Premiums, Health Policy; Survey Research and Questionnaire Design, Health Care Financing
Authors: Michael Davern; Jacob Alex Klerman; David K Baugh; Kathleen Thiede Call; George D Greenberg Journal: Health Serv Res Date: 2009-01-28 Impact factor: 3.402
Authors: Jacob A Klerman; Michael Davern; Kathleen Thiede Call; Victoria Lynch; Jeanne D Ringel Journal: Health Aff (Millwood) Date: 2009-09-10 Impact factor: 6.301