Advancing Measurement of Diabetes at the Population Level.

Abstract:

PURPOSE:The measurement and estimation of diabetes in populations guides resource allocation, health priorities, and can influence practice and future research. To provide a critical reflection on current diabetes surveillance, we provide in-depth discussion about how upstream determinants, prevalence, incidence, and downstream impacts of diabetes are measured in the USA, and the challenges in obtaining valid, accurate, and precise estimates. FINDINGS:Current estimates of the burden of diabetes risk are obtained through national surveys, health systems data, registries, and administrative data. Several methodological nuances influence accurate estimates of the population-level burden of diabetes, including biases in selection and response rates, representation of population subgroups, accuracy of reporting of diabetes status, variation in biochemical testing, and definitions of diabetes used by investigators. Technological innovations and analytical approaches (e.g., data linkage to outcomes data like the National Death Index) may help address some, but not all, of these concerns, and additional methodological advances and validation are still needed. Current surveillance efforts are imperfect, but measures consistently collected and analyzed over several decades enable useful comparisons over time. In addition, we proposed that focused subsampling, use of technology, data linkages, and innovative sensitivity analyses can substantially advance population-level estimation.

journal_name

Curr Diab Rep

journal_title

Current diabetes reports

authors

Ali MK,Siegel KR,Laxy M,Gregg EW

doi

10.1007/s11892-018-1088-z

subject

Has Abstract

pub_date

2018-09-19 00:00:00

pages

108

issue

11

eissn

1534-4827

issn

1539-0829

pii

10.1007/s11892-018-1088-z

journal_volume

18

pub_type

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