Literature DB >> 24467883

Concordance between survey report of Medicaid enrollment and linked Medicaid administrative records in two national studies.

Lisa B Mirel1, Alan E Simon2, Cordell Golden2, Catherine R Duran2, Kenneth C Schoendorf2.   

Abstract

The National Health and Nutrition Examination Survey (NHANES) and the National Health Interview Survey (NHIS) are population-based surveys that have each been linked to administrative data from the Centers for Medicare and Medicaid Services (CMS): the Medicaid Analytic eXtract (MAX) files. These linked data were used to examine, among children under age 18 years, respondent-level concordance between Medicaid or the Children's Health Insurance Program (CHIP) enrollment as reported in each survey (NHANES and NHIS) and as indicated by administrative data from the MAX files. Concordance was defined as having Medicaid/CHIP reported as a health insurance source in the survey questionnaire and having a CMS Medicaid/CHIP administrative record in the same month and year as the interview. Records were also considered concordant if there was no report of Medicaid/CHIP coverage based on the interview response and no match to the CMS administrative records for Medicaid enrollment. Between NHANES and MAX, 88% of observations were concordant with respect to Medicaid or CHIP enrollment, yielding a Kappa of 0.71. Between NHIS and MAX, 89% of observations were concordant with respect to Medicaid or CHIP enrollment, yielding a Kappa of 0.73. These concordance rates provide support for the use of both administrative and NHANES and NHIS as a valuable tool for public health researchers and survey methodologists. All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.

Entities:  

Mesh:

Year:  2014        PMID: 24467883

Source DB:  PubMed          Journal:  Natl Health Stat Report        ISSN: 2164-8344


  4 in total

1.  Cost-sharing, physician utilization, and adverse selection among Medicare beneficiaries with chronic health conditions.

Authors:  Geoffrey Hoffman
Journal:  Med Care Res Rev       Date:  2014-12-23       Impact factor: 3.929

2.  Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models.

Authors:  Jennifer Rammon; Yulei He; Jennifer D Parker
Journal:  Stat J IAOS       Date:  2019-08-26

3.  Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services' Medicaid data.

Authors:  Jennifer Rammon; Yulei He; Jennifer D Parker
Journal:  Health Serv Outcomes Res Methodol       Date:  2018-08-16

4.  Understanding sexual activity and Chlamydia testing rate based on linked national survey and Medicaid claims data.

Authors:  Guoyu Tao; Jennifer Hua; Jessica L Chen
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.