title: Comparing errors in Medicaid reporting across surveys: evidence to date.
abstract: OBJECTIVE
  To synthesize evidence on the accuracy of Medicaid reporting across state and federal surveys.
  
  
  METHODS
  All available validation studies.
  
  
  METHODS
  Compare results from existing research to understand variation in reporting across surveys.
  
  
  METHODS
  Synthesize all available studies validating survey reports of Medicaid coverage.
  
  
  RESULTS
  Across all surveys, reporting some type of insurance coverage is better than reporting Medicaid specifically. Therefore, estimates of uninsurance are less biased than estimates of specific sources of coverage. The CPS stands out as being particularly inaccurate.
  
  
  CONCLUSIONS
  Measuring health insurance coverage is prone to some level of error, yet survey overstatements of uninsurance are modest in most surveys. Accounting for all forms of bias is complex. Researchers should consider adjusting estimates of Medicaid and uninsurance in surveys prone to high levels of misreporting.
authors: SHADAC, University of Minnesota, 2221 University Ave SE, Suite 345, Minneapolis, MN 55414, USA. callx001@umn.edu
authors: Kathleen T
authors: KT
authors: Call
authors: Michael E
authors: ME
authors: Davern
authors: Jacob A
authors: JA
authors: Klerman
authors: Victoria
authors: V
authors: Lynch
mesh_terms: D015982:Bias; D003625:Data Collection / Q000379:methods*; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data; D019458:Insurance Coverage / Q000706:statistics & numerical data; D008484:Medicaid / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D017149:Private Sector / Q000706:statistics & numerical data; D017150:Public Sector / Q000706:statistics & numerical data; D014481:United States