Uncovering the missing Medicaid cases and assessing their bias for estimates of the uninsured.
General population surveys of health insurance coverage are thought to undercount Medicaid enrollment, which may bias estimates of the uninsured. This article describes the results of an experiment undertaken in conjunction with a general population survey in Minnesota. Responses to health insurance questions by a known sample of public program enrollees are analyzed to determine possible reasons for the undercount and the amount of bias introduced in estimates of uninsured people. While public program enrollees often misreport the type of coverage they have, the impact on estimates of those without insurance is negligible. Restrictions to generalizing the finding beyond this study are discussed.
Call
K T
KT
Division of Health Services Research and Policy, School of Public Health, University of Minnesota, Minneapolis 55455, USA.
Davidson
G
G
Sommers
A S
AS
Feldman
R
R
Farseth
P
P
Rockwood
T
T
D015982:Bias; D003625:Data Collection; D019538:Health Care Surveys / Q000379:methods*; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data; D008484:Medicaid / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008910:Minnesota; D011635:Public Health Administration