Literature DB >> 33674335

Exploring injury intentionality and mechanism via ICD-10-CM injury codes and self-reported injury in a large, urban emergency department.

Michael J Clery1,2, Philip Joseph Hudson3, Jasmine C Moore2, Laura M Mercer Kollar4, Daniel T Wu5,2.   

Abstract

Health systems capture injuries using International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Clinical Modification (ICD-10-CM) diagnostic codes and share data with public health to inform injury surveillance. This study analyses provider-assigned ICD-10-CM injury codes among self-reported injuries to determine the effectiveness of ICD-10-CM coding in capturing injury and assault.
METHODS: Self-reported injury screen records from an urban, level 1 trauma centre collected between 20 November 2015 and 30 September 2019 were compared with corresponding provider-assigned ICD-10-CM codes discerning the frequency in which intentions are indicated among patients reporting (1) any injury and (2) assault.
RESULTS: Of 380 922 patients screened, 32 788 (8.61%) reported any injury and 6763 (1.78%) reported assault. ICD-10-CM codes had a sensitivity of 67.40% (95% CI 66.89% to 67.91%) for any injury and specificity of 89.79% (95% CI 89.69% to 89.89%]). For assault, ICD-10-CM codes had sensitivity of 2.25% (95% CI 1.91% to 2.63%) and specificity of 99.97% (95% CI 99.97% 99.98%). DISCUSSION: This study found provider-assigned ICD-10-CM had limited sensitivity to identify injury and low sensitivity for assault. This study more fully characterises ICD-10-CM coding system effectiveness in identifying assaults. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; multiple injury; public health; trauma systems; violence

Year:  2021        PMID: 33674335     DOI: 10.1136/injuryprev-2019-043508

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  1 in total

1.  Utilization of Automated Keyword Search to Identify E-Scooter Injuries in the Emergency Department.

Authors:  Ali Pourmand; Keith S Boniface; Katherine Douglass; Colton Hood; Sarah E Frasure; Jeremy Barnett; Kunj Bhatt; Neal Sikka
Journal:  Cureus       Date:  2021-11-13
  1 in total

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