Use of ICD-10-CM coded hospitalisation and emergency department data for injury surveillance

IntroductionThe purpose of this study was to estimate the positive predictive value (PPV) of International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes for injury, poisoning, physical or sexual assault complicating pregnancy, childbirth and the puerperium (PCP) to capture injury encounters within both hospital and emergency department claims data.MethodsA medical record review was conducted on a sample (n=157) of inpatient and emergency department claims from one Kentucky healthcare system from 2015 to 2017, with any diagnosis in the ICD-10-CM range O9A.2-O9A.4. Study clinicians reviewed medical records for the sampled cases and used an abstraction form to collect information on documented presence of injury and PCP complications. The study estimated the PPVs and the 95% CIs of O9A.2-O9A.4 codes for (1) capturing injuries and (2) capturing injuries complicating PCP.ResultsThe estimated PPV for the codes O9A.2-O9A.4 to identify injury in the full sample was 79.6% (95% CI 73.3% to 85.9%) and the PPV for capturing injuries complicating PCP was 72.0% (95% CI 65.0% to 79.0%). The estimated PPV for an inpatient principal diagnosis O9A.2-O9A.4 to capture injuries was 90.7% (95% CI 82.0% to 99.4%) and the PPV for capturing injuries complicating PCP was 88.4% (95% CI 78.4% to 98.4%). The estimated PPV for any mention of O9A.2-O9A.4 in emergency department data to capture injuries was 95.2% (95% CI 90.6% to 99.9%) and the PPV for capturing injuries complicating PCP was 81.0% (95% CI 72.4% to 89.5%).DiscussionThe O9A.2-O9A.4 codes captured high percentage true injury cases among pregnant and puerperal women.

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VICTORIAN EMERGENCY DEPARTMENT DATA FOR INJURY SURVEILLANCE: HOW USEFUL IS IT?

British Journal of Sports Medicine ◽

10.1136/bjsports-2014-093494.112 ◽

2014 ◽

Vol 48 (7) ◽

pp. 601.2-601 ◽

Cited By ~ 1

Author(s):

S Gray ◽

C Finch

Keyword(s):

Emergency Department ◽

Injury Surveillance ◽

Emergency Department Data

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Injury Surveillance: A Statewide Survey of Emergency Department Data Collection Practices

Annals of Emergency Medicine ◽

10.1016/s0196-0644(96)70086-0 ◽

1996 ◽

Vol 28 (6) ◽

pp. 635-640 ◽

Cited By ~ 4

Author(s):

Harold B Weiss ◽

Susan M Dill ◽

Samuel N Forjuoh ◽

Herbert G Garrison ◽

Jeffrey H Coben

Keyword(s):

Emergency Department ◽

Data Collection ◽

Injury Surveillance ◽

Emergency Department Data ◽

Collection Practices

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Infant product-related injuries: comparing specialised injury surveillance and routine emergency department data

Australian and New Zealand Journal of Public Health ◽

10.1111/1753-6405.12466 ◽

2015 ◽

Vol 40 (1) ◽

pp. 37-42

Author(s):

Kirsten Vallmuur ◽

Ruth Barker

Keyword(s):

Emergency Department ◽

Injury Surveillance ◽

Emergency Department Data

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Using routine emergency department data for syndromic surveillance of acute respiratory illness before and during the COVID-19 pandemic in Germany, week 10-2017 and 10-2021

10.1101/2021.08.19.21262303 ◽

2021 ◽

Author(s):

T Sonia Boender ◽

Wei Cai ◽

Madlen Schranz ◽

Theresa Kocher ◽

Birte Wagner ◽

...

Keyword(s):

Emergency Department ◽

Emergency Departments ◽

Syndromic Surveillance ◽

Virus Disease ◽

Respiratory Illness ◽

Acute Respiratory Illness ◽

Case Definitions ◽

Emergency Department Data ◽

Duration Magnitude ◽

Icd 10

Introduction: To better assess the epidemiological situation of acute respiratory illness in Germany over time, we used emergency department data for syndromic surveillance before and during the COVID-19 pandemic. Methods: We included routine attendance data from emergency departments who continuously transferred data between week 10-2017 and 10-2021, with ICD-10 codes available for >75% of the attendances. Case definitions for acute respiratory illness (ARI), severe ARI (SARI), influenza-like illness (ILI), respiratory syncytial virus disease (RSV) and Coronavirus disease 2019 (COVID-19) were based on a combination of ICD-10 codes, and/or chief complaints, sometimes combined with information on hospitalisation and age. Results: We included 1,372,958 attendances from eight emergency departments. The number of attendances dropped in March 2020, increased during summer, and declined again during the resurge of COVID-19 cases in autumn and winter of 2020/2021. A pattern of seasonality of acute respiratory infections could be observed. By using different case definitions (i.e. for ARI, SARI, ILI, RSV) both the annual influenza seasons in the years 2017-2020 and the dynamics of the COVID-19 pandemic in 2020-2021 were apparent. The absence of a flu season during the fall and winter of 2020/2021 was visible, in parallel to the resurge of COVID-19 cases. The proportion of SARI among ARI cases peaked in April-May 2020 and November 2020-January 2021. Conclusion: Syndromic surveillance using routine emergency department data has the potential to monitor the trends, timing, duration, magnitude and severity of illness caused by respiratory viruses, including both influenza and SARS-CoV-2.

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Use of statewide electronic emergency department data for occupational injury surveillance: A feasibility study in massachusetts

American Journal of Industrial Medicine ◽

10.1002/ajim.21035 ◽

2011 ◽

Vol 55 (4) ◽

pp. 344-352 ◽

Cited By ~ 7

Author(s):

Letitia K. Davis ◽

Phillip R. Hunt ◽

H. Holly Hackman ◽

Loreta N. McKeown ◽

Victoria V. Ozonoff

Keyword(s):

Emergency Department ◽

Feasibility Study ◽

Occupational Injury ◽

Injury Surveillance ◽

Emergency Department Data

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Identification of work-related injury emergency department visits using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes

Injury Prevention ◽

10.1136/injuryprev-2019-043507 ◽

2021 ◽

Vol 27 (Suppl 1) ◽

pp. i3-i8

Author(s):

Ashley M Bush ◽

Terry L Bunn ◽

Madison Liford

Keyword(s):

Emergency Department ◽

International Classification Of Diseases ◽

Injury Surveillance ◽

Discharge Data ◽

Work Related ◽

Work Related Injury ◽

Classification Of Diseases ◽

Icd 10 ◽

Ed Visits

IntroductionEmergency department (ED) visit discharge data are a less explored population-based data source used to identify work-related injuries. When using discharge data, work-relatedness is often determined by the expected payer of workers’ compensation (WC). In October 2015, healthcare discharge data coding systems transitioned to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). ICD-10-CM’s structure offers potential new work-related codes to enhance work-related injury surveillance. This study identified work-related ED visits using relevant ICD-10-CM work-related injury codes. Cases identified using this method were compared with those identified using the WC expected payer approach.MethodsState ED visit discharge data (2016–2019) were analysed using the CDC’s discharge data surveillance definition. Injuries were identified using a diagnosis code or an external cause-of-injury code in any field. Injuries were assessed by mechanism and expected payer. Literature searches and manual review of ICD-10-CM codes were conducted to identify possible work-related injury codes. Descriptive statistics were performed and assessed by expected payer.ResultsWC was billed for 87 361 injury ED visits from 2016 to 2019. Falls were the most frequent injury mechanism. The 246 ICD-10-CM work-related codes identified 36% more work-related ED injury visits than using WC as the expected payer alone.ConclusionThis study identified potential ICD-10-CM codes to expand occupational injury surveillance using discharge data beyond the traditional WC expected payer approach. Further studies are needed to validate the work-related injury codes and support the development of a work-related injury surveillance case definition.

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