Literature DB >> 11770664

Accuracy of external cause of injury codes reported in Washington State hospital discharge records.

M LeMier1, P Cummings, T A West.   

Abstract

OBJECTIVE: To evaluate the accuracy of external cause of injury codes (E codes) reported in computerized hospital discharge records.
METHODS: All civilian hospitals in Washington State submit computerized data for each hospital discharge to a file maintained by the Department of Health. In 1996, 32 hospitals accounted for 80% of the injury related discharges in this file; from these hospitals, we sampled 1,260 computerized records for injured patients in a stratified, but random, manner. An expert coder then visited the 32 study hospitals, reviewed the medical records that corresponded to each computerized record, and assigned an E code for that hospitalization. The computerized E code information was compared with codes provided by the expert reviewer.
RESULTS: The incidence of hospitalization for injury based upon computerized hospital discharge data was very similar to that based upon chart review: incidence rate ratio 1.0 (95% confidence interval 1.00 to 1.02). Computerized hospital discharge data correctly ranked injuries in regard to both mechanism and intent. Overall agreement on coding was 87% for mechanism of injury, 95% for intent of injury, and 66% for the complete E code. The sensitivity of computerized hospital discharge data for identification of falls, motor vehicle traffic injuries, poisonings, and firearm injuries was 91% or better. The predictive value positive of coding for these four categories of injury ranged from 88% for motor vehicle traffic injuries to 94% for poisonings. The amount of agreement for intent coding ranged from 84% for firearm injuries to 99% for falls. Agreement on coding of the complete E code ranged from 57% for firearm injuries to 72% for poisonings.
CONCLUSIONS: Computerized hospital discharge data can be used with confidence to determine how many injuries are treated in a hospital setting and the relative magnitude of various categories of injury. E codes reported in hospital discharge data are a reliable source of information on the types of information most often used for injury related analyses and priority setting. The detail codes (complete E codes) reported in hospital discharge codes are less reliable and must be used with caution.

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Year:  2001        PMID: 11770664      PMCID: PMC1730776          DOI: 10.1136/ip.7.4.334

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


  6 in total

1.  Coding external causes of injury (E-codes) in Maryland hospital discharges 1979-88: a statewide study to explore the uncoded population.

Authors:  B Marganitt; E J MacKenzie; G S Smith; A M Damiano
Journal:  Am J Public Health       Date:  1990-12       Impact factor: 9.308

2.  Methodological issues in using hospital discharge data to determine the incidence of hospitalized injuries.

Authors:  G S Smith; J A Langlois; J S Buechner
Journal:  Am J Epidemiol       Date:  1991-11-15       Impact factor: 4.897

3.  Injury surveillance using hospital discharge abstracts coded by external cause of injury (E code).

Authors:  B Guyer; G Berenholz; S S Gallagher
Journal:  J Trauma       Date:  1990-04

4.  Injury coding and hospital discharge data.

Authors:  J E Sniezek; J F Finklea; P L Graitcer
Journal:  JAMA       Date:  1989-10-27       Impact factor: 56.272

5.  Improving the E coding of hospitalizations for injury: do hospital records contain adequate documentation?

Authors:  J A Langlois; J S Buechner; E A O'Connor; E Q Nacar; G S Smith
Journal:  Am J Public Health       Date:  1995-09       Impact factor: 9.308

6.  Accuracy of e-codes assigned to emergency department records.

Authors:  R J Schwartz; B S Nightingale; D Boisoneau; L M Jacobs
Journal:  Acad Emerg Med       Date:  1995-07       Impact factor: 3.451

  6 in total
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5.  Motor vehicle collision-related emergency department visits by older adults in the United States.

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7.  Trends in the Incidence and Lethality of Suicidal Acts in the United States, 2006 to 2015.

Authors:  Jing Wang; Steven A Sumner; Thomas R Simon; Alex E Crosby; Francis B Annor; Elizabeth Gaylor; Likang Xu; Kristin M Holland
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8.  A population-based assessment of the potential interaction between serotonin-specific reuptake inhibitors and digoxin.

Authors:  David N Juurlink; Muhammad M Mamdani; Alexander Kopp; Nathan Herrmann; Andreas Laupacis
Journal:  Br J Clin Pharmacol       Date:  2005-01       Impact factor: 4.335

9.  Completeness of cause of injury coding in healthcare administrative databases in the United States, 2001.

Authors:  J H Coben; C A Steiner; M Barrett; C T Merrill; D Adamson
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

10.  Accuracy of injury coding under ICD-9 for New Zealand public hospital discharges.

Authors:  J Langley; S Stephenson; C Thorpe; G Davie
Journal:  Inj Prev       Date:  2006-02       Impact factor: 2.399

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