Assessment of the Accuracy of Firearm Injury Intent Coding at 3 US Hospitals

Author:

Miller Matthew12,Azrael Deborah2,Yenduri Ravali34,Barber Catherine2,Bowen Andrew5,MacPhaul Erin3,Mooney Stephen J.56,Zhou Li3,Goralnick Eric34,Rowhani-Rahbar Ali56

Affiliation:

1. Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts

2. Harvard Injury Control Research Center, Harvard T. H. Chan School of Public Health, Boston, Massachusetts

3. Department of Emergency Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts

4. Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, Massachusetts

5. Firearm Injury and Policy Research Program, University of Washington, Seattle

6. Department of Epidemiology, School of Public Health, University of Washington, Seattle

Abstract

ImportanceThe absence of reliable hospital discharge data regarding the intent of firearm injuries (ie, whether caused by assault, accident, self-harm, legal intervention, or an act of unknown intent) has been characterized as a glaring gap in the US firearms data infrastructure.ObjectiveTo use incident-level information to assess the accuracy of intent coding in hospital data used for firearm injury surveillance.Design, Setting, and ParticipantsThis cross-sectional retrospective medical review study was conducted using case-level data from 3 level I US trauma centers (for 2008-2019) for patients presenting to the emergency department with an incident firearm injury of any severity.ExposuresClassification of firearm injury intent.Main Outcomes and MeasuresResearchers reviewed electronic health records for all firearm injuries and compared intent adjudicated by team members (the gold standard) with International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM) codes for firearm injury intent assigned by medical records coders (in discharge data) and by trauma registrars. Accuracy was assessed using intent-specific sensitivity and positive predictive value (PPV).ResultsOf the 1227 cases of firearm injury incidents seen during the ICD-10-CM study period (October 1, 2015, to December 31, 2019), the majority of patients (1090 [88.8%]) were male and 547 (44.6%) were White. The research team adjudicated 837 (68.2%) to be assaults. Of these assault incidents, 234 (28.0%) were ICD coded as unintentional injuries in hospital discharge data. These miscoded patient cases largely accounted for why discharge data had low sensitivity for assaults (66.3%) and low PPV for unintentional injuries (34.3%). Misclassification was substantial even for patient cases described explicitly as assaults in clinical notes (sensitivity of 74.3%), as well as in the ICD-9-CM study period (sensitivity of 77.0% for assaults and PPV of 38.0% for unintentional firearm injuries). By contrast, intent coded by trauma registrars differed minimally from researcher-adjudicated intent (eg, sensitivity for assault of 96.0% and PPV for unintentional firearm injury of 93.0%).Conclusions and RelevanceThe findings of this cross-sectional study underscore questions raised by prior work using aggregate count data regarding the accuracy of ICD-coded discharge data as a source of firearm injury intent. Based on our observations, researchers and policy makers should be aware that databases drawn from hospital discharge data (most notably, the Nationwide Emergency Department Sample) cannot be used to reliably count or characterize intent-specific firearm injuries.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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