Literature DB >> 17641138

Medicaid, Medicare, and the Michigan Tumor Registry: a linkage strategy.

Cathy J Bradley1, Charles W Given, Zhehui Luo, Caralee Roberts, Glenn Copeland, Beth A Virnig.   

Abstract

The study of health outcomes and the reduction in health disparities is at the forefront of the nation's health care agenda. A theme in the disparities literature is the call for a data infrastructure that can track progress toward goals aimed at reducing differences in health outcomes. This article describes a strategy for linking Medicaid, Medicare, and Michigan Tumor Registry data for the purposes of studying disparities in cancer diagnosis, quality of care, and survival. The authors review their procedures for ensuring that a correct match between files occurred and offer guidance for merging and assessing the quality of these complex linked data sets. A cohort of 113,604 subjects (90%) from a population of 125,900 subjects was correctly linked from the Michigan Tumor Registry to Medicare and Medicaid files. Using probabilistic and deterministic methods, the prediction rate of the Medicaid match to the Michigan Tumor Registry was 93%. Approximately 13% of the subjects were dually eligible for Medicare and Medicaid. An expansive data set reflecting the Medicare and Medicaid medical service utilization and outcomes for a cohort of individuals age 65 years and older when diagnosed with cancer was created. This data set serves as a cornerstone of a health outcomes data infrastructure. The methodology described may serve as a model for other researchers seeking to create a similar data set in their state.

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Year:  2007        PMID: 17641138     DOI: 10.1177/0272989X07302129

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  23 in total

1.  Health services research and data linkages: issues, methods, and directions for the future.

Authors:  Cathy J Bradley; Lynne Penberthy; Kelly J Devers; Debra J Holden
Journal:  Health Serv Res       Date:  2010-08-02       Impact factor: 3.402

2.  Organizational characteristics and cancer care for nursing home residents.

Authors:  Jan P Clement; Cathy J Bradley; Chunchieh Lin
Journal:  Health Serv Res       Date:  2009-09-23       Impact factor: 3.402

3.  Economic burden of cancer in the United States: estimates, projections, and future research.

Authors:  K Robin Yabroff; Jennifer Lund; Deanna Kepka; Angela Mariotto
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-10       Impact factor: 4.254

4.  Linking the Ohio Cancer Incidence Surveillance System with Medicare, Medicaid, and Clinical Data from Home Health Care and Long Term Care Assessment Instruments: Paving the Way for New Research Endeavors in Geriatric Oncology.

Authors:  Siran M Koroukian
Journal:  J Registry Manag       Date:  2008

5.  VA-INPC: Linking Department of Veterans Affairs (VA) and Indiana Network for Patient Care (INPC) data to assess surveillance testing among veterans with colorectal cancer.

Authors:  David A Haggstrom; Marc Rosenman; Laura J Myers; Evgenia Teal; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Ability of Medicare claims data to identify nursing home patients: a validation study.

Authors:  Siran M Koroukian; Fang Xu; Patrick Murray
Journal:  Med Care       Date:  2008-11       Impact factor: 2.983

7.  Linking Medicare, Medicaid, and cancer registry data to study the burden of cancers in West Virginia.

Authors:  Pramit A Nadpara; Suresh S Madhavan
Journal:  Medicare Medicaid Res Rev       Date:  2012-11-05

8.  Colon cancer treatment costs for Medicare and dually eligible beneficiaries.

Authors:  Zhehui Luo; Cathy J Bradley; Bassam A Dahman; Joseph C Gardiner
Journal:  Health Care Financ Rev       Date:  2010

9.  Connecting communities to health research: development of the Project CONNECT minority research registry.

Authors:  Melissa A Green; Mimi M Kim; Sharrelle Barber; Abedowale A Odulana; Paul A Godley; Daniel L Howard; Giselle M Corbie-Smith
Journal:  Contemp Clin Trials       Date:  2013-01-20       Impact factor: 2.226

10.  Inventory of data sources for estimating health care costs in the United States.

Authors:  Jennifer L Lund; K Robin Yabroff; Yoko Ibuka; Louise B Russell; Paul G Barnett; Joseph Lipscomb; William F Lawrence; Martin L Brown
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

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