Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA
Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
BMJ Open. 2024 Jan 17;14(1):e073791. doi: 10.1136/bmjopen-2023-073791.
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.
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.
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.
传统的基于调查的监测既昂贵,又难以区分糖尿病类型,且耗时,导致报告延迟。儿童、青少年和青年糖尿病(DiCAYA)网络旨在通过使用大量电子健康记录(EHR)数据来推进青少年和青年的糖尿病监测工作。该网络有两个主要目标,即:(1)改进和验证基于 EHR 的可计算表型算法,以准确识别青少年和青年中的 1 型和 2 型糖尿病;(2)估计青少年和青年中 1 型和 2 型糖尿病的发病率和患病率及其趋势。该网络旨在增强美国的糖尿病监测能力,并评估基于 EHR 的监测的性能。本文介绍了 DiCAYA 网络以及如何实现这些目标。
DiCAYA 网络分布在美国八个地理位置不同的中心和一个协调中心。三个中心仅对 0-17 岁的青少年进行糖尿病监测(组件 A),三个中心仅对 18-44 岁的年轻人进行监测(组件 B),两个中心在组件 A 和 B 中进行监测。该网络将评估可计算表型定义的有效性,以确定基于手动摘录病历的黄金标准的表型的敏感性、特异性、阳性预测值和阴性预测值的糖尿病状况和类型。将使用泊松回归呈现未调整的患病率和发病率估计值,以及按种族/族裔、性别和年龄调整的估计值。
DiCAYA 网络非常适合推进糖尿病监测方法。该网络将传播可广泛采用的基于 EHR 的监测方法,并报告美国大量地区的青少年和青年关键人口亚组的糖尿病患病率和发病率。