Details:

Alternative Title:
Prev Chronic Dis
Personal Author:
Mardon, Russ ; Marker, David ; Nooney, Jennifer ; Campione, Joanne ; Jenkins, Frank ; ... More +
Mardon, Russ ; Marker, David ; Nooney, Jennifer ; Campione, Joanne ; Jenkins, Frank ; Johnson, Maurice ; Merrill, Lori ; Rolka, Deborah B. ; Saydah, Sharon ; Geiss, Linda S. ; Zhang, Xuanping ; Shrestha, Sundar Less -
Description:
States bear substantial responsibility for addressing the rising rates of diabetes and prediabetes in the United States. However, accurate state-level estimates of diabetes and prediabetes prevalence that include undiagnosed cases have been impossible to produce with traditional sources of state-level data. Various new and nontraditional sources for estimating state-level prevalence are now available. These include surveys with expanded samples that can support state-level estimation in some states and administrative and clinical data from insurance claims and electronic health records. These sources pose methodologic challenges because they typically cover partial, sometimes nonrandom subpopulations; they do not always use the same measurements for all individuals; and they use different and limited sets of variables for case finding and adjustment. We present an approach for adjusting new and nontraditional data sources for diabetes surveillance that addresses these limitations, and we present the results of our proposed approach for 2 states (Alabama and California) as a proof of concept. The method reweights surveys and other data sources with population undercoverage to make them more representative of state populations, and it adjusts for nonrandom use of laboratory testing in clinically generated data sets. These enhanced diabetes and prediabetes prevalence estimates can be used to better understand the total burden of diabetes and prediabetes at the state level and to guide policies and programs designed to prevent and control these chronic diseases.
Subjects:
[+]
Tools and Techniques
Source:
Prev Chronic Dis. 14.
Pubmed ID:
29101768
Pubmed Central ID:
PMC5672889
Document Type:
Journal Article
Collection(s):
Preventing Chronic Disease
Main Document Checksum:
[+]
urn:sha256:57185c93ec9658fcc48aa2b64bb2c2d99f592b7dd7e3bd6742bed6e08b274ff9
Download URL:
https://stacks.cdc.gov/view/cdc/50126/cdc_50126_DS1.pdf
File Type:

Supporting Files

• PCD-14-E106.nxml

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