Can researchers trust ICD-10 coding of medical comorbidities in orthopaedic trauma patients?

Author:

Arthur Rodney12,Mayberry R. Miles32,Odum Susan2,Kempton Laurence B.2,

Affiliation:

1. University of North Carolina School of Medicine, Chapel Hill, NC

2. Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Carolinas Medical Center, Charlotte, NC

3. Wake Forest School of Medicine, Winston-Salem, NC

Abstract

Abstract Objectives: The 10th revision of the International Classification of Diseases (ICD-10) coding system may prove useful to orthopaedic trauma researchers to identify and document populations based on comorbidities. However, its use for research first necessitates determination of its reliability. The purpose of this study was to assess the reliability of electronic medical record (EMR) ICD-10 coding of nonorthopaedic diagnoses in orthopaedic trauma patients relative to the gold standard of prospective data collection. Design: Nonexperimental cross-sectional study. Setting: Level 1 Trauma Center. Patients/Participants: Two hundred sixty-three orthopaedic trauma patients from 2 prior prospective studies from September 2018 to April 2022. Intervention: Prospectively collected data were compared with EMR ICD-10 code abstraction for components of the Charlson Comorbidity Index (CCI), obesity, alcohol abuse, and tobacco use (retrospective data). Main Outcome Measurements: Percent agreement and Cohen's kappa reliability. Results: Percent agreement ranged from 86.7% to 96.9% for all CCI diagnoses and was as low as 72.6% for the diagnosis “overweight.” Only 2 diagnoses, diabetes without end-organ damage (kappa = 0.794) and AIDS (kappa = 0.798) demonstrated Cohen's kappa values to indicate substantial agreement. Conclusion: EMR diagnostic coding for medical comorbidities in orthopaedic trauma patients demonstrated variable reliability. Researchers may be able to rely on EMR coding to identify patients with diabetes without complications or AIDS. Chart review may still be necessary to confirm diagnoses. Low prevalence of most comorbidities led to high percentage agreement with low reliability. Level of Evidence: Level 1 diagnostic.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3