台湾索赔数据中识别青光眼的诊断代码验证:多机构研究

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2024-04-03 DOI:10.2147/clep.s443872
Pei-Ting Lu, Tsung-Hsien Tsai, Chi-Chun Lai, Lan-Hsin Chuang, Shih-Chieh Shao
{"title":"台湾索赔数据中识别青光眼的诊断代码验证:多机构研究","authors":"Pei-Ting Lu, Tsung-Hsien Tsai, Chi-Chun Lai, Lan-Hsin Chuang, Shih-Chieh Shao","doi":"10.2147/clep.s443872","DOIUrl":null,"url":null,"abstract":"<strong>Background:</strong> Healthcare databases play a crucial role in improving our understanding of glaucoma epidemiology, which is the leading cause of irreversible blindness globally. However, the accuracy of diagnostic codes used in these databases to detect glaucoma is still uncertain.<br/><strong>Aim:</strong> To assess the accuracy of ICD-9-CM and ICD-10-CM codes in identifying patients with glaucoma, including two distinct subtypes, primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG).<br/><strong>Methods:</strong> We analyzed electronic medical records data from a 2% random sample of patients who newly underwent visual field examination in Taiwan’s largest multi-institutional healthcare system from 2011 to 2020. The diagnosis of glaucoma was confirmed by two ophthalmologists, based on the glaucoma diagnostic criteria. The positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for ICD-9-CM codes 365.1X and 365.2X, and ICD-10-CM codes H4010X, H4011X, H4012X, H4020X, H4021X, H4022X, H4023X and H4024X for glaucoma were calculated.<br/><strong>Results:</strong> We randomly selected 821 patients (mean age: 56.9 years old; female: 50.5%) from the original cohort of 41,050 newly receiving visual field examination in the study. Among 464 cases with an ICD-9-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 86.5, 96.5, 91.9, and 90.9%, respectively. Among 357 cases with an ICD-10-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 87.0, 92.8, 92.2 and 87.9%, respectively. The accuracy of diagnostic codes to identify POAG and PACG remained consistent.<br/><strong>Conclusion:</strong> The diagnostic codes were highly reliable for identifying cases of glaucoma in Taiwan’s routine healthcare practice. These results provide confidence when using ICD-9-CM and ICD-10-CM codes to define glaucoma cases in healthcare database research in Taiwan. <br/><br/>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of Diagnostic Codes to Identify Glaucoma in Taiwan’s Claims Data: A Multi-Institutional Study\",\"authors\":\"Pei-Ting Lu, Tsung-Hsien Tsai, Chi-Chun Lai, Lan-Hsin Chuang, Shih-Chieh Shao\",\"doi\":\"10.2147/clep.s443872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background:</strong> Healthcare databases play a crucial role in improving our understanding of glaucoma epidemiology, which is the leading cause of irreversible blindness globally. However, the accuracy of diagnostic codes used in these databases to detect glaucoma is still uncertain.<br/><strong>Aim:</strong> To assess the accuracy of ICD-9-CM and ICD-10-CM codes in identifying patients with glaucoma, including two distinct subtypes, primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG).<br/><strong>Methods:</strong> We analyzed electronic medical records data from a 2% random sample of patients who newly underwent visual field examination in Taiwan’s largest multi-institutional healthcare system from 2011 to 2020. The diagnosis of glaucoma was confirmed by two ophthalmologists, based on the glaucoma diagnostic criteria. The positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for ICD-9-CM codes 365.1X and 365.2X, and ICD-10-CM codes H4010X, H4011X, H4012X, H4020X, H4021X, H4022X, H4023X and H4024X for glaucoma were calculated.<br/><strong>Results:</strong> We randomly selected 821 patients (mean age: 56.9 years old; female: 50.5%) from the original cohort of 41,050 newly receiving visual field examination in the study. Among 464 cases with an ICD-9-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 86.5, 96.5, 91.9, and 90.9%, respectively. Among 357 cases with an ICD-10-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 87.0, 92.8, 92.2 and 87.9%, respectively. The accuracy of diagnostic codes to identify POAG and PACG remained consistent.<br/><strong>Conclusion:</strong> The diagnostic codes were highly reliable for identifying cases of glaucoma in Taiwan’s routine healthcare practice. These results provide confidence when using ICD-9-CM and ICD-10-CM codes to define glaucoma cases in healthcare database research in Taiwan. <br/><br/>\",\"PeriodicalId\":10362,\"journal\":{\"name\":\"Clinical Epidemiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/clep.s443872\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/clep.s443872","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

背景:青光眼是导致全球不可逆失明的主要原因,而医疗数据库在提高我们对青光眼流行病学的认识方面发挥着至关重要的作用。目的:评估 ICD-9-CM 和 ICD-10-CM 编码在识别青光眼患者(包括原发性开角型青光眼(POAG)和原发性闭角型青光眼(PACG)这两种不同亚型)方面的准确性:我们分析了 2011 年至 2020 年期间在台湾最大的多机构医疗系统中新接受视野检查的 2% 随机抽样患者的电子病历数据。青光眼的诊断由两名眼科医生根据青光眼诊断标准进行确认。计算了青光眼的 ICD-9-CM 编码 365.1X 和 365.2X,以及 ICD-10-CM 编码 H4010X、H4011X、H4012X、H4020X、H4021X、H4022X、H4023X 和 H4024X 的阳性预测值(PPV)、阴性预测值(NPV)、敏感性和特异性:我们从新接受视野检查的 41,050 名患者中随机抽取了 821 名患者(平均年龄:56.9 岁;女性:50.5%)。在 464 例带有 ICD-9-CM 青光眼代码的病例中,青光眼的敏感性、特异性、PPV 和 NPV 分别为 86.5%、96.5%、91.9% 和 90.9%。在 357 个有 ICD-10-CM 青光眼代码的病例中,青光眼的敏感性、特异性、PPV 和 NPV 分别为 87.0%、92.8%、92.2% 和 87.9%。诊断代码识别 POAG 和 PACG 的准确性保持一致:结论:在台湾的常规医疗实践中,诊断代码在识别青光眼病例方面具有很高的可靠性。这些结果为在台湾医疗数据库研究中使用ICD-9-CM和ICD-10-CM代码定义青光眼病例提供了信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Validation of Diagnostic Codes to Identify Glaucoma in Taiwan’s Claims Data: A Multi-Institutional Study
Background: Healthcare databases play a crucial role in improving our understanding of glaucoma epidemiology, which is the leading cause of irreversible blindness globally. However, the accuracy of diagnostic codes used in these databases to detect glaucoma is still uncertain.
Aim: To assess the accuracy of ICD-9-CM and ICD-10-CM codes in identifying patients with glaucoma, including two distinct subtypes, primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG).
Methods: We analyzed electronic medical records data from a 2% random sample of patients who newly underwent visual field examination in Taiwan’s largest multi-institutional healthcare system from 2011 to 2020. The diagnosis of glaucoma was confirmed by two ophthalmologists, based on the glaucoma diagnostic criteria. The positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for ICD-9-CM codes 365.1X and 365.2X, and ICD-10-CM codes H4010X, H4011X, H4012X, H4020X, H4021X, H4022X, H4023X and H4024X for glaucoma were calculated.
Results: We randomly selected 821 patients (mean age: 56.9 years old; female: 50.5%) from the original cohort of 41,050 newly receiving visual field examination in the study. Among 464 cases with an ICD-9-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 86.5, 96.5, 91.9, and 90.9%, respectively. Among 357 cases with an ICD-10-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 87.0, 92.8, 92.2 and 87.9%, respectively. The accuracy of diagnostic codes to identify POAG and PACG remained consistent.
Conclusion: The diagnostic codes were highly reliable for identifying cases of glaucoma in Taiwan’s routine healthcare practice. These results provide confidence when using ICD-9-CM and ICD-10-CM codes to define glaucoma cases in healthcare database research in Taiwan.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
期刊最新文献
Drug-Induced Gynecomastia: Data Mining and Analysis of the FDA Adverse Event Reporting System Database Impact of Smoking Reduction Scenarios on the Burden of Myocardial Infarction in the French Population Until 2035 Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England [Letter]. Burden of Gastrointestinal Tumors in Asian Countries, 1990–2021: An Analysis for the Global Burden of Disease Study 2021 Causes of Excess Mortality in Diabetes Patients Without Coronary Artery Disease: A Cohort Study Revealing Endocrinologic Contributions.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1