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Comparing errors in Medicaid reporting across surveys: evidence to date.
Call, Kathleen T; Davern, Michael E; Klerman, Jacob A; Lynch, Victoria.
Afiliação
  • Call KT; SHADAC, University of Minnesota, 2221 University Ave SE, Suite 345, Minneapolis, MN 55414, USA. callx001@umn.edu
Health Serv Res ; 48(2 Pt 1): 652-64, 2013 Apr.
Article em En | MEDLINE | ID: mdl-22816493
ABSTRACT

OBJECTIVE:

To synthesize evidence on the accuracy of Medicaid reporting across state and federal surveys. DATA SOURCES All available validation studies. STUDY

DESIGN:

Compare results from existing research to understand variation in reporting across surveys. DATA COLLECTION

METHODS:

Synthesize all available studies validating survey reports of Medicaid coverage. PRINCIPAL

FINDINGS:

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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coleta de Dados / Medicaid / Pessoas sem Cobertura de Seguro de Saúde Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coleta de Dados / Medicaid / Pessoas sem Cobertura de Seguro de Saúde Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos