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Ali, M.K.* ; Siegel, K.R.* ; Laxy, M. ; Gregg, E.W.*

Advancing measurement of diabetes at the population level.

Curr. Diab. Rep. 18:108 (2018)
Postprint DOI
Open Access Green
PurposeThe 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.FindingsCurrent 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.SummaryCurrent 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Diabetes ; Surveillance ; Burden Estimation ; Nutrition ; Quality Of Life; Quality-of-life; Disease; Adults; Care; Complications; Epidemiology; Perspectives; Mellitus; Risk
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 1534-4827
e-ISSN 1539-0829
Zeitschrift Current Diabetes Reports
Quellenangaben Band: 18, Heft: 11, Seiten: , Artikelnummer: 108 Supplement: ,
Verlag Springer
Verlagsort Heidelberg [u.a.]
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Health Economics and Health Care Management (IGM)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-505300-002
DOI 10.1007/s11892-018-1088-z
WOS ID WOS:000445077300002
Scopus ID 85053499529
Erfassungsdatum 2018-10-02
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