title: Implications of the Medicaid undercount in a high-penetration Medicaid state.
abstract: OBJECTIVE
  This study investigates the impact of misreporting by Medicaid recipients on estimates of the uninsured in Louisiana, and is based on similar work by Call et al. in Minnesota and Klerman, Ringel, and Roth in California. With its unique charity hospital system, culture, and high poverty, Louisiana provides an interesting and unique context for examining Medicaid underreporting.
  
  
  METHODS
  Results are based on a random sample of 2,985 Medicaid households. Respondents received a standard questionnaire to identify health insurance status, and individual records were matched to Medicaid enrollment data to identify misreporting.
  
  
  METHODS
  Data were collected by the Public Policy Research Lab at Louisiana State University using computer-assisted telephone interviewing. Using Medicaid enrollment data to obtain contact information, the Louisiana Health Insurance Survey was administered to 2,985 households containing Medicaid recipients. Matching responses on individuals from these households to Medicaid enrollment data yielded responses for 3,199 individuals.
  
  
  CONCLUSIONS
  Results suggest relatively high rates of underreporting among Medicaid recipients in Louisiana for both children and adults. Given the very high proportion of Medicaid recipients in the population, this may translate up to a 3 percent bias in estimates of uninsured populations.
  
  
  CONCLUSIONS
  Medicaid bias may be particularly pronounced in areas with high Medicaid enrollments. Misreporting rates and thus the bias in estimates of the uninsured may differ across areas of the United States with important consequences for Medicaid funding.
authors.affiliation: Reilly Center for Media & Public Affairs, Manship School of Mass Communication, Louisiana State University, Baton Rouge, LA 70803, USA.
authors.forename: R Kirby
authors.initials: RK
authors.lastname: Goidel
authors.forename: Steven
authors.initials: S
authors.lastname: Procopio
authors.forename: Douglas
authors.initials: D
authors.lastname: Schwalm
authors.forename: Dek
authors.initials: D
authors.lastname: Terrell
mesh_terms: D000293:Adolescent; D000328:Adult; D003625:Data Collection / Q000379:methods; D004522:Educational Status; D005260:Female; D006801:Humans; D007182:Income; D019458:Insurance Coverage / Q000706:statistics & numerical data*; D007348:Insurance, Health; D008145:Louisiana; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008875:Middle Aged; D014481:United States