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. 2024 Jan 17;14(1):e073791.
doi: 10.1136/bmjopen-2023-073791.

Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network

Annemarie G Hirsch  1 , Sarah Conderino  2 , Tessa L Crume  3 , Angela D Liese  4 , Anna Bellatorre  3 , Stefanie Bendik  2 , Jasmin Divers  5 , Rebecca Anthopolos  2 , Brian E Dixon  6   7 , Yi Guo  8 , Giuseppina Imperatore  9 , David C Lee  2 , Kristi Reynolds  10 , Marc Rosenman  11   12 , Hui Shao  13 , Levon Utidjian  14 , Lorna E Thorpe  2 ; DiCAYA Study Group
Collaborators, Affiliations

Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network

Annemarie G Hirsch et al. BMJ Open. .

Abstract

Introduction: Traditional survey-based surveillance is costly, limited in its ability to distinguish diabetes types and time-consuming, resulting in reporting delays. The Diabetes in Children, Adolescents and Young Adults (DiCAYA) Network seeks to advance diabetes surveillance efforts in youth and young adults through the use of large-volume electronic health record (EHR) data. The network has two primary aims, namely: (1) to refine and validate EHR-based computable phenotype algorithms for accurate identification of type 1 and type 2 diabetes among youth and young adults and (2) to estimate the incidence and prevalence of type 1 and type 2 diabetes among youth and young adults and trends therein. The network aims to augment diabetes surveillance capacity in the USA and assess performance of EHR-based surveillance. This paper describes the DiCAYA Network and how these aims will be achieved.

Methods and analysis: The DiCAYA Network is spread across eight geographically diverse US-based centres and a coordinating centre. Three centres conduct diabetes surveillance in youth aged 0-17 years only (component A), three centres conduct surveillance in young adults aged 18-44 years only (component B) and two centres conduct surveillance in components A and B. The network will assess the validity of computable phenotype definitions to determine diabetes status and type based on sensitivity, specificity, positive predictive value and negative predictive value of the phenotypes against the gold standard of manually abstracted medical charts. Prevalence and incidence rates will be presented as unadjusted estimates and as race/ethnicity, sex and age-adjusted estimates using Poisson regression.

Ethics and dissemination: The DiCAYA Network is well positioned to advance diabetes surveillance methods. The network will disseminate EHR-based surveillance methodology that can be broadly adopted and will report diabetes prevalence and incidence for key demographic subgroups of youth and young adults in a large set of regions across the USA.

Keywords: adolescent; diabetes & endocrinology; epidemiology; health informatics; paediatric endocrinology.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Map of counties included in the DiCAYA network by clinical centre. DiCAYA, Diabetes in Children, Adolescents and Young Adults.
Figure 2
Figure 2
Computable phenotype (CP) for diabetes (DM) flow chart.
See this image and copyright information in PMC

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