|
Activity Number:
|
365
- SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2018 : 10:30 AM to 11:15 AM
|
|
Sponsor:
|
Government Statistics Section
|
|
Abstract #332844
|
|
|
Title:
|
Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
|
|
Author(s):
|
Linda Andes*
|
|
Companies:
|
Centers for Disease Control & Prevention
|
|
Keywords:
|
Medicare;
Diabetes;
Surveillance;
Epidemiology;
Administrative data
|
|
Abstract:
|
The prevalence of diabetes increases with age, due in part to an increase in incidence among adults age 65 and over. However, these estimates of diabetes prevalence and incidence are based on the results of survey research where there are rarely sufficient numbers of geriatric adults to obtain precise estimates, particularly among various subgroups within the elderly population. Administrative data sets built from Medicare claims contain millions of cases, affording an opportunity to explore heterogeneity within the geriatric population. Although most older adults in the U.S. are enrolled in Medicare, data is only available for the portion of beneficiaries that are enrolled in Fee-for-Service (FFS or Parts A and B). Therefore, it is critical to carefully define the population-at-risk in order to obtain accurate denominator counts for estimates of prevalence and incidence. We will specify a proposed definition for the population-at-risk and present estimates of diabetes prevalence and incidence for the years 2001-2013.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2018 program
|
