TY  - JOUR
AU  - Mardon, Russ
AU  - Marker, David
AU  - Nooney, Jennifer
AU  - Campione, Joanne
AU  - Jenkins, Frank
AU  - Johnson, Maurice
AU  - Merrill, Lori
AU  - Rolka, Deborah B.
AU  - Saydah, Sharon
AU  - Geiss, Linda S.
AU  - Zhang, Xuanping
AU  - Shrestha, Sundar
PY  - 2017
TI  - Novel Methods and Data Sources for Surveillance of State-Level Diabetes and Prediabetes Prevalence
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E106
VL  - 14
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - 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.
SN  - 1545-1151
UR  - https://doi.org/10.5888/pcd14.160572
DO  - 10.5888/pcd14.160572
ER  - 
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