Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network.
Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network.
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使用电子健康记录来增强儿童，青少年和年轻人的糖尿病监测：DICAYA网络的研究方案。
DOI：
10.1136/bmjopen-2023-073791
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发表时间：
2024-01-17
期刊：
影响因子：
2.9
通讯作者：
Thorpe, Lorna E.
中科院分区：
文献类型：
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作者：
Hirsch, Annemarie G.;Conderino, Sarah;Crume, Tessa L.;Liese, Angela D.;Bellatorre, Anna;Bendik, Stefanie;Divers, Jasmin;Anthopolos, Rebecca;Dixon, Brian E.;Guo, Yi;Imperatore, Giuseppina;Lee, David C.;Reynolds, Kristi;Rosenman, Marc;Shao, Hui;Utidjian, Levon;Thorpe, Lorna E.
传统的以调查为基础的监测成本高，区分糖尿病类型的能力有限，而且耗时，导致报告延迟。儿童、青少年和年轻人糖尿病（DiCAYA）网络旨在通过使用大量电子健康记录（EHR）数据来推进青年和年轻人的糖尿病监测工作。该网络有两个主要目标，即：（1）完善和验证基于EHR的可计算表型算法，以准确识别青年和年轻人中的1型和2型糖尿病;（2）估计青年和年轻人中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岁的青年进行糖尿病监测（A部分），三个中心仅对18-44岁的青年进行监测（B部分），两个中心对A和B部分进行监测。该网络将评估可计算表型定义的有效性，以根据表型的敏感性、特异性、阳性预测值和阴性预测值，对照手动提取的病历的金标准，确定糖尿病状态和类型。患病率和发生率将以未校正的估计值和使用泊松回归的人种/种族、性别和年龄校正的估计值表示。DiCAYA网络在推进糖尿病监测方法方面处于有利地位。该网络将传播可广泛采用的基于EHR的监测方法，并将报告美国各地大量地区青年和年轻成年人关键人口亚组的糖尿病患病率和发病率。
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.
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DOI：
10.1136/amiajnl-2014-002764
发表时间：
2014-07
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
Kaushal R;Hripcsak G;Ascheim DD;Bloom T;Campion TR Jr;Caplan AL;Currie BP;Check T;Deland EL;Gourevitch MN;Hart R;Horowitz CR;Kastenbaum I;Levin AA;Low AF;Meissner P;Mirhaji P;Pincus HA;Scaglione C;Shelley D;Tobin JN;NYC-CDRN
通讯作者：
NYC-CDRN
影响因子：
16.2
作者：
Bryden, KS;Dunger, DB;Neil, HAW
通讯作者：
Neil, HAW
影响因子：
120.7
作者：
Dabelea, Dana;Mayer-Davis, Elizabeth J.;Saydah, Sharon;Imperatore, Giuseppina;Linder, Barbara;Divers, Jasmin;Bell, Ronny;Badaru, Angela;Talton, Jennifer W.;Crume, Tessa;Liese, Angela D.;Merchant, Anwar T.;Lawrence, Jean M.;Reynolds, Kristi;Dolan, Lawrence;Liu, Lenna L.;Hamman, Richard F.
通讯作者：
Hamman, Richard F.
DOI：
10.1136/amiajnl-2014-002744
发表时间：
2014-07
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
DeVoe JE;Gold R;Cottrell E;Bauer V;Brickman A;Puro J;Nelson C;Mayer KH;Sears A;Burdick T;Merrell J;Matthews P;Fields S
通讯作者：
Fields S
1型和2型糖尿病青年糖尿病周围神经病的患病率和危险因素：青年研究中寻找糖尿病。
影响因子：
16.2
作者：
Jaiswal M;Divers J;Dabelea D;Isom S;Bell RA;Martin CL;Pettitt DJ;Saydah S;Pihoker C;Standiford DA;Dolan LM;Marcovina S;Linder B;Liese AD;Pop-Busui R;Feldman EL
通讯作者：
Feldman EL