Validating Medicare Claims Data For Stroke

MedicalResearch.com Interview with
Hiraku Kumamar, MD, MPH
Department of Epidemiology
Harvard School of Public Health, Boston, MA and
Soko Setoguchi-Iwata, M.D.
Duke Clinical Research Institute
Durham, NC 27715

Medical Research: What are the main findings of the study?

Answer: We evaluated the accuracy of discharge diagnosis of stroke in the Medicare claims database by linking it to a nationwide epidemiological study cohort with 30239 participants called REasons for Geographic And Racial Differences in Stroke (REGARDS). We found that among the 282 events captured using a strict claims definition of stroke, 91% were true events.  We also found that 12% of the overall strokes had been identified only by Medicare claims, strongly supporting the use of these readily available data for event follow-up in cohort studies.
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Neighborhood Socioeconomic Status Impact On Medicare Rating for Heart Failure

Alex Blum, MD MPH FAAP Chief Medical Officer Evergreen Health, Baltimore MD 21211MedicalResearch.com Interview with:
Alex Blum, MD MPH FAAP
Chief Medical Officer
Evergreen Health, Baltimore MD 21211


MedicalResearch.com: What are the main findings of the study?

Dr. Blum: Accounting for the social risk of patients using a measure of neighborhood socioeconomic status (SES), did not alter the hospital rankings for congestive heart failure (CHF) readmission rates. Continue reading

Bariatric Surgery: Centers of Excellence Programs and Minority Access

Dr. Lauren Hersch Nicholas Ph.D Research Affiliate, Population Studies Center. Faculty Research Fellow, Survey Research Center University of MichiganMedicalResearch.com Interview Invitation
Dr. Lauren Hersch Nicholas Ph.D
Research Affiliate, Population Studies Center.
Faculty Research Fellow, Survey Research Center
University of Michigan


MedicalResearch.com: What are the main findings of the study?

Dr. Nicholas: We found that a Medicare policy designed to improve the safety of bariatric surgery was associated with 17% decline in the share of Medicare patients from minority groups receiving bariatric surgery.
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Using Medicare Claims Data to Predict Life Expectancy

MedicalResearch.com Interview with: Alai Tan, MD, PhD

Assistant Professor, Dept. of Preventive Medicine & Community Health
Sr. Biostatistician, Sealy Center on Aging
Univerisity of Texas Medical Branch
301 University Blvd., Galveston, TX  77555-0177

MedicalResearch.com: What are the main findings of the study?

Dr. Tan: The study developed and validated sex-specific Cox proportional-hazards models with predictors of age and comorbidities to predict patient life expectancy using Medicare claims data. The predictive model was well-calibrated and showed good predictive discrimination for risk of mortality between 5 and 10 years.
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