Traumatic brain injury (TBI) is one of the most common, costly, and disabling occupational injuries. Objectives included determining whether work-related TBI could be reliably identified using the Occupational Injury and Illness Classification System (OIICS) and describing challenges in developing an OIICS-based TBI case definition.
Washington State trauma registry reports and workers’ compensation claims were linked (1998–2008). Trauma registry diagnoses were used as the gold standard for six OIICS-based TBI case definitions.
OIICS-based case definitions were highly specific but had low sensitivity, capturing less than a third of fatal and nonfatal TBI.
The use of OIICS versus ICD-9-CM codes underestimated TBI and changed the attributable cause distribution, with potential implications for prevention efforts. Surveillance methods that can more fully and accurately capture the impact of work-related TBI across the U.S are needed.
Approximately 1.7 million people sustain traumatic brain injuries (TBI) each year in the U.S.
The CDC has published case definitions for TBI using ICD-9-CM and ICD-10 codes, which are commonly used in injury research.
The structure of the OIICS requires coders to identify the most severe injury and default to multiple injury/multiple body part categories when there is conflict or insufficient information, which can obscure the presence of individual injuries such as TBI. An apparent undercount of TBI using the OIICS when compared with ICD-9-CM codes was noted in previous work by this article’s first author.
The aims of this study were to: (1) determine whether TBI can be reliably identified using existing OIICS codes, (2) describe the accuracy and completeness of case classification and case-finding for various OIICS-based case definitions, using clinically-identified TBI in trauma registry data as the gold standard, (3) enumerate TBI cases contained in various combinations of OIICS nature and part of body codes, (4) describe whether OIICS-based case definitions more reliably identify isolated TBI compared with TBI in combination with other traumatic injuries, or fatal TBI compared with nonfatal TBI, and (5) explore and describe challenges with respect to developing an OIICS-based case definition for TBI and the potential implications for surveillance and prevention efforts.
Data for injuries occurring from 1998 through 2008 were obtained from: (1) the Washington State Trauma Registry (WTR), maintained by the Washington State Department of Health, and (2) WC claims, maintained by the Washington State Department of Labor and Industries (L&I). This study was approved by the Washington State IRB.
The WTR contains reporting data for traumatic injuries meeting specific inclusion criteria from all state-designated acute trauma facilities. For most of the years of this study, reports were mandatory for adult patients who (1) were discharged with ICD-9-CM diagnosis codes of 800–904 or 910–959 (injuries), 994.1 (drowning), 994.7 (asphyxiation), or 994.8 (electrocution), and (2) met at least one of the following criteria: trauma resuscitation team activation, dead on arrival, death during the emergency department (ED) visit or associated hospital stay, interfacility transfer by Emergency Medical Services (EMS) or ambulance, or inpatient admission of at least 48 hours. The WTR contains no information about occupation or industry, but does contain a work-relatedness field that has been shown to be highly sensitive and specific in identifying work-related injuries.
Washington State has a single payer WC system (the State Fund) that covers approximately 70% of workers specified by the Industrial Insurance Act.
Records were linked and deduplicated using The Link King, a public domain software program developed in Washington State for deterministic and probabilistic linkage of administrative records.
TBI was identified following the CDC case definition: the presence of any ICD-9-CM code of 800.0–801.9, 803.0–804.9, 850.0–854.1, 950.1–950.3, or 959.01 in any of the 27 WTR ICD-9-CM diagnosis fields.
Isolated TBI was defined as TBI that did not have any maximum Abbreviated Injury Scale (AIS) score greater than 1 (no more than minor injury) in body regions other than the head/neck, as well as no indication of additional moderate extracranial injury in the head/neck region (e.g., facial fractures, cervical spine injuries). TBI with other trauma was defined as TBI that had at least one maximum AIS score greater than 1 in a body region other than the head/neck or an ICD-9-CM code in the head/neck region indicating at least moderate extracranial injury.
Fatalities were defined as workers who died prior to or during the initial hospitalization according to WTR data, or whose WC claim was classified as a fatality. Fatalities would not be captured by the WTR if there was no trauma hospital involvement (e.g., direct transport to a morgue or coroner). Cause of injury was based on the ICD-9-CM external cause of injury codes (E codes) from WTR records and categorized according to CDC recommendations.
L&I uses the 2007 version of the OIICS to identify and record injury/illness characteristics.
Solely for purposes of this study, six OIICS-based TBI case definitions were defined as shown in
WTR-based ICD-9-CM codes were used as the gold standard for identification of TBI cases. Counts of TBI captured by various combinations of OIICS nature and part of body categories were calculated separately for: (1) all TBI, (2) fatal TBI, and (3) isolated TBI. Sensitivity, specificity, area under the curve (AUC) using receiver operating characteristic (ROC) curves, positive predictive value (PV+), and negative predictive value (PV−) were estimated for each of the six case definitions. The number and percent of cases captured by each of the six case definitions were calculated for several subsets of TBI (fatal, nonfatal, isolated TBI, TBI with other trauma).
Analyses were performed using Stata/SE 11.2 for Windows (StataCorp LP, College Station, TX). The Stata user-written program -diagt- was used to calculate case classification statistics.
Overall, 19.8% of work-related injuries reported to the WTR and linked to a WC claim involved TBI. By cause of injury, 36.7% of motor vehicle traffic incidents and 25.4% of falls involved TBI. Among work-related injury fatalities, 59.5% overall involved TBI, as did 88.2% of fatal falls and 66.0% of fatal motor vehicle traffic incidents. Most of the 117 fatal TBI cases were due to falls (51.3%) and motor vehicle traffic incidents (27.4%). Of all linked work-related TBI in this sample, 8.9% were fatal and 91.1% were nonfatal; 34.6% of the sample was isolated TBI and 65.4% was TBI with other trauma.
This study did not identify any reasonably sensitive OIICS-based case definition for TBI. Though highly specific, all case definitions used in this study had low sensitivity, capturing less than a third of the fatal or nonfatal work-related TBI identified using the clinical diagnoses codes available in the trauma registry (with the exception of CD6, which lacked face validity and was included only for purposes of illustration). A high proportion of TBI was obscured within the categories of multiple traumatic injuries and/or multiple body parts. In addition, OIICS-based case definitions captured only about half of the isolated TBI cases, presumably due to deficiencies in the information available to OIICS coders or coding errors (which might vary by jurisdiction or database).
All of the TBI case definitions used in this study identified the primary cause of work-related fatal/nonfatal TBI as falls. This comports with several studies of occupational TBI conducted in Ontario and Washington State,
Anderson, Bonauto, and Adams (2010) described similar case ascertainment issues when using another common injury classification scheme, the American National Standards Institute (ANSI) Z16 system, to identify amputations.
The OIICS version 2.0 issued in Sept 2010 (and the minor update 2.01 issued in Jan 2012) contained some changes that may alleviate some of the issues raised here, but probably will not completely resolve them.
This study constitutes a preliminary and novel effort to explore and describe challenges with respect to developing an OIICS-based case definition for fatal/nonfatal TBI and the potential implications for prevention efforts. This study relied on clinical diagnosis codes from a trauma registry combined with WC claims data. Most states maintain a trauma registry, and researchers in several states (e.g., Alaska, Illinois, and Washington) have begun to explore these registries as a resource for occupational injury surveillance and research.
This study relied on a relatively severe group of injuries reported to a trauma registry, and those injured may have been more likely to have sustained TBI and/or multiple injuries compared with a more general occupational injury sample. In this study, about 20% of all injuries and 60% of fatal injuries involved TBI, compared with a CDC estimate that TBI contributes to 31% of all injury-related deaths.
We do not presume to recommend any specific OIICS-based case definition for use in TBI surveillance. Doing so would require further expert review for face validity, as well as validation in data sets more representative of the spectrum of occupational injuries. Some of the case definitions used in this study might be less specific for TBI in a broader occupational injury sample. There are many possible combinations of OIICS codes that could be contemplated for inclusion. For example, the case definitions used in this study did not include gunshots to the head for simplicity’s sake, although this was done in a NIOSH study of fatal occupational TBI (using nature=036 and part of body=00 or 01 or 08).
This study captured only a portion of the work-related TBI in Washington State, and the numbers presented were not intended to describe incidence. This study was limited to traumatic injuries eligible for and included in the WTR and required linkage to a compensable WC claim. Thus, minor injuries, injuries not treated at a designated trauma hospital or not reported to the trauma registry, as well as injuries not reported to WC or not covered by WC (e.g., federal workers, domestic workers, the self-employed, etc.) would not have been included.
This study casts light on the potential undercount of work-related TBI when a commonly used occupational injury classification system, the OIICS, is relied upon for case-finding. OIICS-based case definitions captured less than a third of the fatal or nonfatal work-related TBI identified using clinical diagnoses codes available from a trauma registry. Systematic underestimation of the incidence of work-related TBI, an often severe and disabling injury, directly hinders surveillance efforts. In addition, the use of OIICS versus ICD-9-CM codes for case identification, at least in this sample, changed the observed attributable cause distribution, underestimating the contribution of motor vehicle traffic incidents to work-related TBI. This has important implications for the targeting of primary prevention programs and resources. Further research to develop an adequate OIICS-based TBI case definition is indicated, preferably using data sets that are representative of the full spectrum of occupational injuries. However, it is unlikely that any OIICS-based TBI case definition can fully mitigate this potential undercount due to frequently incomplete injury information and issues related to identifying the most severe injury and classifying multiple injuries. As efforts develop to document the incidence and importance of work-related TBI across the U.S., attention must be paid to developing surveillance methods that can more fully and accurately capture its impact.
This study was funded in part by the National Institute for Occupational Safety and Health (NIOSH, 1R03OH009883). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIOSH. Dr. Graves received fellowship support from the National Institute of Child Health and Human Development (T32HD057822).
We gratefully acknowledge Darrin Adams, Barbara Silverstein, and David Bonauto at the Washington State Department of Labor and Industries and Kathy Schmitt, Zeynep Shorter, Mary Rotert, and Susan Reynolds at the Washington State Department of Health Trauma Registry for providing the data and for their extensive and generous explanations of each system and the underlying data generating processes.
No conflicts of interest were reported by the authors.
Occupational Injury and Illness Classification System (OIICS)-based case definition (CD) criteria used for traumatic brain injury (TBI) case classification estimates. Numbers in the first and second rows indicate OIICS nature and body part codes respectively. All existing subgroups of each code shown were subsumed unless otherwise indicated. An “X” indicates each nature/body part combination that was included by the case definition on the same row.
Count of all traumatic brain injury (TBI) cases captured by each Occupational Injury and Illness Classification System (OIICS) nature/part of body combination (N=1,313). OIICS codes not listed contained no TBI cases; all existing subgroups of each listed OIICS code were subsumed unless otherwise indicated.
Count of fatal traumatic brain injury (TBI) cases captured by each Occupational Injury and Illness Classification System (OIICS) nature/part of body combination (N=117). OIICS codes not listed contained no TBI cases; all existing subgroups of each listed OIICS code were subsumed unless otherwise indicated.
Count of isolated traumatic brain injury (TBI) cases captured by each Occupational Injury and Illness Classification System (OIICS) nature/part of body combination (N=454). OIICS codes not listed contained no TBI cases; all existing subgroups of each listed OIICS code were subsumed unless otherwise indicated.
Case Classification for OIICS-based Case Definitions (N=6,639
| Case definition (CD) | True positives n | False positives n | Sensitivity | Specificity | AUC | PV+ | PV− |
|---|---|---|---|---|---|---|---|
| CD1 | 168 | 17 | 12.8 | 99.7 | 0.56 | 90.8 | 82.3 |
| CD2 | 227 | 23 | 17.3 | 99.6 | 0.58 | 90.8 | 83.0 |
| CD3 | 261 | 61 | 19.9 | 98.9 | 0.59 | 81.1 | 83.3 |
| CD4 | 320 | 70 | 24.4 | 98.7 | 0.62 | 82.1 | 84.1 |
| CD5 | 406 | 99 | 30.9 | 98.1 | 0.65 | 80.4 | 85.2 |
| CD6 | 937 | 898 | 71.4 | 83.1 | 0.77 | 51.1 | 92.2 |
All linked work-related injuries having available OIICS codes.
OIICS, Occupational Injury and Illness Classification System; AUC, area under the receiver operating characteristic curve; PV+, positive predictive value; PV−, negative predictive value; CD, case definition.
True Positive Cases of Work-Related TBI Identified Using OIICS-Based Case Definitions (CD), by TBI Category
| TBI category | TBI | CD1 | CD2 | CD3 | CD4 | CD5 | CD6 |
|---|---|---|---|---|---|---|---|
| All TBI | 1,313 | 168 (12.8) | 227 (17.3) | 261 (19.9) | 320 (24.4) | 406 (30.9) | 937 (71.4) |
| Fatal TBI | 117 | 15 (12.8) | 17 (14.5) | 17 (14.5) | 28 (23.9) | 36 (30.8) | 100 (85.5) |
| Nonfatal TBI | 1,196 | 153 (12.8) | 210 (17.6) | 244 (20.4) | 292 (24.4) | 370 (30.9) | 837 (70.0) |
| Isolated TBI | 454 | 121 (26.7) | 150 (33.0) | 155 (34.1) | 178 (39.2) | 240 (52.9) | 319 (70.3) |
| TBI with other trauma | 859 | 47 (5.5) | 77 (9.0) | 106 (12.3) | 142 (16.5) | 166 (19.3) | 618 (71.9) |
TBI identified using WTR-based ICD-9-CM codes according to the CDC case definition.
TBI, traumatic brain injury; OIICS, Occupational Injury and Illness Classification System; CD, case definition.
Attributable Cause of Work-Related TBI (Percentage Distribution) for each WTR and OIICS-Based Case Definition (CD)
| Cause of injury | TBI | CD1 (N=185) | CD2 (N=250) | CD3 (N=322) | CD4 (N=390) | CD5 (N=505) |
|---|---|---|---|---|---|---|
| Motor vehicle traffic | 20.4 | 11.9 | 10.0 | 11.2 | 10.8 | 10.9 |
| Pedal cyclist, other | 0.2 | - | - | - | - | 0.2 |
| Pedestrian, other | 0.5 | - | - | 0.3 | 0.3 | 0.4 |
| Transport, other | 3.7 | 1.6 | 2.8 | 2.2 | 3.1 | 4.0 |
| Firearm | 0.6 | - | - | - | - | 0.2 |
| Poisoning | - | - | - | - | 0.3 | 0.2 |
| Falls | 50.3 | 58.4 | 56.4 | 49.4 | 46.4 | 46.9 |
| Fire/burn | 0.3 | - | - | - | 0.3 | 0.6 |
| Cut/pierce | 1.1 | 1.1 | 0.8 | 1.2 | 1.3 | 1.8 |
| Struck by/against | 14.8 | 16.2 | 19.6 | 24.5 | 25.6 | 24.0 |
| Machinery | 4.3 | 8.1 | 7.2 | 7.5 | 7.7 | 6.7 |
| Natural/environmental | 0.3 | 0.5 | 0.4 | 0.3 | 0.3 | 0.4 |
| Other specified | 2.9 | 1.6 | 2.0 | 2.8 | 3.3 | 3.2 |
| Other specified, NEC | 0.2 | 0.5 | 0.4 | 0.3 | 0.5 | 0.4 |
| Unspecified | 0.3 | - | 0.4 | 0.3 | 0.3 | 0.2 |
TBI identified using WTR-based ICD-9-CM codes according to the CDC case definition.
TBI, traumatic brain injury; WTR, Washington State Trauma Registry; OIICS, Occupational Injury and Illness Classification System; CD, case definition; NEC, not elsewhere classifiable.