Validating Coding for the Identification of Pediatric Treatment Resistant Epilepsy Patients.

Child neurology open Pub Date : 2021-08-31 eCollection Date: 2021-01-01 DOI:10.1177/2329048X211037806
Daniel A Freedman, Zachary Grinspan, Peter Glynn, Jackson Mittlesteadt, Alex Dawes, Anup D Patel
{"title":"Validating Coding for the Identification of Pediatric Treatment Resistant Epilepsy Patients.","authors":"Daniel A Freedman,&nbsp;Zachary Grinspan,&nbsp;Peter Glynn,&nbsp;Jackson Mittlesteadt,&nbsp;Alex Dawes,&nbsp;Anup D Patel","doi":"10.1177/2329048X211037806","DOIUrl":null,"url":null,"abstract":"<p><p>The International Classification of Diseases (ICD) system includes sub codes to indicate that an individual with epilepsy is treatment resistant. These codes would be a valuable tool to identify individuals for quality improvement and population health, as well as for recruitment into clinical trials. However, the accuracy of these codes is unclear. We performed a single center cross sectional study to understand the accuracy of ICD codes for treatment resistant epilepsy. We identified 344 individuals, roughly half with treatment resistant epilepsy The ICD code had a sensitivity of 90% (147 of 164) and specificity of 86% (155 of 180). The miscoding of children with refractory epilepsy was attributed to the following reasons: 5 patients had epilepsy surgery, 4 had absence epilepsy, 4 patients were seen by different providers, and 1 patient was most recently seen in movement disorders clinic. ICD codes accurately identify children with treatment resistant epilepsy.</p>","PeriodicalId":72572,"journal":{"name":"Child neurology open","volume":"8 ","pages":"2329048X211037806"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/13/db/10.1177_2329048X211037806.PMC8424723.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child neurology open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/2329048X211037806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The International Classification of Diseases (ICD) system includes sub codes to indicate that an individual with epilepsy is treatment resistant. These codes would be a valuable tool to identify individuals for quality improvement and population health, as well as for recruitment into clinical trials. However, the accuracy of these codes is unclear. We performed a single center cross sectional study to understand the accuracy of ICD codes for treatment resistant epilepsy. We identified 344 individuals, roughly half with treatment resistant epilepsy The ICD code had a sensitivity of 90% (147 of 164) and specificity of 86% (155 of 180). The miscoding of children with refractory epilepsy was attributed to the following reasons: 5 patients had epilepsy surgery, 4 had absence epilepsy, 4 patients were seen by different providers, and 1 patient was most recently seen in movement disorders clinic. ICD codes accurately identify children with treatment resistant epilepsy.

Abstract Image

Abstract Image

儿童抗治疗癫痫患者识别的验证编码。
国际疾病分类(ICD)系统包括子代码,表明癫痫患者具有治疗耐药性。这些代码将是一个有价值的工具,可以用来识别个人,以提高质量和人群健康,以及招募他们参加临床试验。然而,这些代码的准确性尚不清楚。我们进行了一项单中心横断面研究,以了解ICD编码对难治性癫痫的准确性。我们确定了344名患者,其中大约一半患有难治性癫痫。ICD编码的敏感性为90%(147/164),特异性为86%(155/180)。儿童难治性癫痫的错误诊断可归因于以下原因:5名患者接受了癫痫手术,4名患者患有缺席癫痫,4名由不同的提供者就诊,1名患者最近在运动障碍诊所就诊。ICD编码可准确识别具有难治性癫痫的儿童。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
15 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信