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Volume 88, Issue 1, Pages 11-18 (January 2007)


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Functional Outcomes From Inpatient Rehabilitation After Traumatic Brain Injury: How Do Hispanics Fare?

Presented as a poster to the American Congress of Rehabilitation Medicine, September 28 to October 1, 2005, Chicago, IL.

Juan Carlos Arango-Lasprilla, PhDabCorresponding Author Informationemail address, Mitchell Rosenthal, PhDab, John DeLuca, PhDab, David X. Cifu, MDc, Robin Hanks, PhDd, Eugene Komaroff, PhDab

Abstract 

Arango-Lasprilla JC, Rosenthal M, DeLuca J, Cifu DX, Hanks R, Komaroff E. Functional outcomes from inpatient rehabilitation after traumatic brain injury: how do Hispanics fare?

Objective

To examine the relation between Hispanic ethnicity and rehabilitation outcome in traumatic brain injury (TBI) survivors.

Design

Retrospective study.

Setting

Longitudinal dataset of the Traumatic Brain Injury Model Systems national database.

Participants

Persons (N=3056; 2745 whites vs 311 Hispanics) with moderate to severe TBI hospitalized between 1989 and 2003.

Interventions

Not applicable.

Main Outcome Measures

Functional outcomes at discharge and 1-year follow-up (Disability Rating Scale [DRS], FIM instrument). Glasgow Outcome Scale−Extended (GOS-E), and the Community Integration Questionnaire (CIQ) were measured at follow-up only.

Results

At admission, Hispanics were less educated (P≤.001), earned less money (P≤.05), and were younger (P≤.001) than whites. Hispanics had lower GOS-E scores (P≤.01) at acute hospital admission compared with whites. Despite similar functional status at inpatient rehabilitation discharge, Hispanic ethnicity was associated with poorer functional outcomes at 1 year postinjury (DRS, FIM, CIQ), after controlling for age, length of posttraumatic amnesia, injury severity, DRS score at admission, FIM score at admission, and preinjury educational level (P<.05).

Conclusions

Hispanics showed significantly reduced long-term functional outcome after rehabilitation relative to whites. Rehabilitation professionals should recognize the possible impact of individual differences and diverse sociodemographic, injury, and rehabilitation characteristics so that differential health outcomes among TBI survivors can be reduced or eliminated.

Article Outline

Abstract

Methods

Measures

Sociodemographic Variables

Injury and Rehabilitation Characteristics

Functional Outcomes

Disability Rating Scale

Community Integration Questionnaire

FIM instrument

Glasgow Outcome Scale−Extended

Statistical Analyses

Results

Admission

Discharge

One-Year Follow-Up

Discussion

Study Limitations

Conclusions

References

Copyright

TRAUMATIC BRAIN INJURY (TBI) is among the most common causes of brain damage in the United States with an estimated 1.5 million people each year affected, principally as a result of vehicular incidents, falls, acts of violence, and sports injuries.1, 2, 3 The number of people surviving TBI has increased significantly in recent years, which has been attributed to faster and more effective emergency care, quicker and safer transportation to specialized treatment facilities, and advances in acute medical management.4 However, almost all of those surviving after a moderate to severe TBI suffer a number of physical (ie, ambulation, balance, coordination, fine motor skills), behavioral (ie, impulsivity), cognitive (ie, disruption in learning and memory, processing speed, executive functioning), and emotional changes (ie, depression).4 The consequences of moderate to severe TBI generally include a dramatic change in the individual’s lifestyle, profound disruption of the family, substantial loss of income or earning potential, and costly lifetime expenses.5, 6

The U.S. minority population is growing rapidly and may constitute up to 45.5% of the country’s total population by the year 2050.7 Within the past decade, Hispanics have become the fastest growing minority group. Between the years 1990 and 2000, Hispanics/Latinos increased their numbers by 57.9% and it is estimated that by the year 2050 Hispanics will account for 24.5% of the total population in the United States.7 Although Hispanics are the largest minority population in the United States, they are underserved in the health care system.8 They are significantly less likely than non-Hispanics to have health care coverage, have 1 or more regular personal health care providers, or have a regular place of care.9

The Hispanic population in the United States has a disproportionately higher risk of suffering certain types of serious medical illnesses, including diabetes mellitus, peripheral vascular disease, cancer, hypertension, stroke, human immunodeficiency virus infection, asthma, and tuberculosis10, 11, 12, 13, 14; mental health disorders, including posttraumatic stress disorder and depression15, 16; and physical injuries, including TBI and spinal cord injury.17, 18 A higher than average incidence of TBI among Hispanics/Latinos has been reported.18 Some studies report a TBI incidence rate of 262 per 100,000 persons for Hispanics versus the national average of 200 per 100,000,18 and risk rates among Hispanics/Latinos may be influenced by factors associated with ethnic minority status, including poverty, restricted occupational and educational opportunities, dangerous residential environments, employment in physically demanding and dangerous jobs, and/or culture-specific health behaviors.19, 20 High incidence rates have made Hispanics among the largest and fastest growing TBI subpopulation in the United States, thus necessitating rehabilitation services that target the specific needs of this population. A National Institutes of Health consensus statement has advocated further investigation into the experiences of minority group members with TBI.21

Previous studies have reported that Hispanics with TBI have a longer waiting time to see a physician in emergency care,22 have fewer social supports available to them,23 and have lower levels of social functioning and higher rates of alcohol abuse after TBI24 compared with whites. Even though there have been important advances in the understanding of the diagnosis and rehabilitation of TBI during the past 2 decades, currently no studies exist in the literature examining the relation between Hispanic ethnicity, TBI, and rehabilitation outcomes.

The aims of the present study were (1) to examine the demographic factors, injury and rehabilitation characteristics, and functional levels of a large sample of white and Hispanic TBI survivors on admission to an inpatient rehabilitation program and (2) to determine differences in functional outcomes after rehabilitation at 2 time points: on discharge and at a 1-year postinjury follow-up.

Methods 

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Data were extracted from the National Institute on Disability and Rehabilitation Research (NIDRR) funded Traumatic Brain Injury Model Systems (TBIMS) national database. The protocol for the proposed study was reviewed and deemed to have met ethical standards according to the institutional review board at Kessler Medical Rehabilitation Research and Education Corp.

For the purposes of the present study, TBI was defined as damage to brain tissue caused by an external mechanical force. Such damage is normally suspected if the person loses consciousness or experiences posttraumatic amnesia (PTA) as a result of brain trauma or if the neurologic findings confer with physical or mental examination of the patient and can be attributed to TBI.25 Most participants had a moderate to severe TBI, which was determined by meeting 1 of the following criteria: PTA for longer than 24 hours, intracranial neuroimaging abnormalities caused by trauma, loss of consciousness for more than 30 minutes (excluding unconsciousness as a result of drug or alcohol use), or an emergency department–documented Glasgow Coma Scale (GCS) score of less than 13. Patients who were chemically paralyzed, in a chemically induced coma, or intubated at the time of GCS scoring were labeled as such in the database and excluded from the sample.25

Additional inclusion criteria included being age 16 or older at the time of the injury and arriving at a TBIMS acute care hospital within 24 hours postinjury. All participants received both acute hospital care and comprehensive rehabilitation in a designated inpatient TBIMS rehabilitation program between 1989 and 2003. Comprehensive rehabilitation must have occurred in a hospital, rehabilitation unit, rehabilitation hospital, hospital-based skilled nursing facility, skilled nursing facility, or long-term acute care hospital in which (1) medical and rehabilitation care are regularly supervised by a TBIMS-affiliated physician; (2) the patient receives nursing care around the clock; and (3) at the very minimum, physical therapy, occupational therapy, speech therapy, rehabilitation psychology and/or neuropsychology, and family support and/or education are all available as needed to enhance functional gains. The patient (or the patient’s legal guardian or family member if appropriate) provided informed consent so that relevant health information from medical records or from laboratory tests could be included in the database.26

The final sample consisted of 3056 participants (2745 whites, 311 Hispanics) with primarily moderate to severe TBI who received acute care and inpatient rehabilitation in a TBI TBIMS during a 14-year period (1989−2003).

Measures 

The ethnicity variable from the TBIMS database was dichotomized into Hispanic or European-American white based on patient self-report of his/her race. If the patient reported both (indicating mixed race), the father’s race was used to define ethnicity.27 Ethnicity served as the independent variable in the statistical analyses.

Sociodemographic Variables 

Age was a continuous variable measured in years. Sex was reported as male or female. Years of education was dichotomized by the authors of the present study into no college education (1−8, 9−11, General Educational Development [GED] equivalency, GED or high school, high school, trade school, high school diploma) or any college education (some college, associate’s degree, bachelor’s degree, master’s degree, doctoral-level degree). We dichotomized marital status into married or not married (including the database categories single, divorced, separated, widowed). Employment status was categorized as student (full-time student, part-time student), competitively employed (database category), unemployed (database category), retired (database category), or other (including database categories homemaker, special employed, volunteer work, and others). Annual earnings were collapsed into 3 categories: (1) less than $50,000 (including database categories ≤$9,999, $10,000−$19,999, $20,000−$29,999, $30,000−$39,999, $40,000−$49,999); (2) $50,000−$99,999 (including $50,000−$59,999, $60,000−$69,999, $70,000−$79,999, $80,000−$89,999, $90,000−$99,999); and (3) $100,000 or more per year, which was left as the original database variable.

Injury and Rehabilitation Characteristics 

Etiology of injury was categorized as vehicular, an act of violence, sports related, a fall, or a pedestrian accident. Severity of the injury was measured by using the variables (1) GCS total score at admission and (2) number of days in PTA. Length of stay (LOS) in acute care and length of rehabilitation services were continuous variables measured in number of days. The total stay was a composite score of the LOS in acute care and length of rehabilitation services.

Functional Outcomes 

Disability Rating Scale 

The Disability Rating Scale (DRS)28 has been used with adolescents and adults with moderate and severe TBI in an inpatient rehabilitation setting. It tracks the general functioning of the person from coma to activities at home and in the community. The DRS includes impairment and cognitive ability ratings to reflect disability and handicap. It consists of 8 items divided into 4 categories: arousal and awareness, cognitive ability to handle self-care, physical dependence on others, and psychosocial adaptability. Scores range from 0 (no disability) to a maximum of 29 (extreme vegetative state). Raters are trained, certified, and periodically recertified through a standardized test administered through a single training center. According to Rappaport et al,28 the Pearson interrater correlation has been found to range from .97 to .98. DRS outcome was measured at admission, discharge, and 1-year follow-up.

Community Integration Questionnaire 

The Community Integration Questionnaire (CIQ)29 was developed for TBIMS as a measure of home and social integration and productive activities. The questionnaire can be completed by the TBI survivor or a family member by using the paper-and-pencil format or through an interview. Scores range from 0 (no integration) to 29 (greater integration). The CIQ has been found to have good test-retest reliability, with a coefficient of .91 for the TBI survivor and .97 for family members, and high internal consistency, with reliability coefficients ranging from .83 to .93 for the TBI survivor and .90 to .97 for family members.29 The CIQ has been shown to differentiate between white and minority samples.30 The CIQ was given at 1-year follow-up to assess community integration.

FIM instrument 

The FIM instrument31 is the most widely accepted functional assessment measure in use in the rehabilitation community. It mainly evaluates progress during inpatient rehabilitation. The scale assesses performance on 18 tasks related to daily living activities. Each task is scored from 1 to 7 based on the relative amount of assistance needed to complete each task. A score of 1 on a particular task indicates that total assistance is needed and less than 25% of the task can be completed alone, whereas a score of 7 reflects the person’s complete independence in performing a particular task. A rehabilitation health care provider typically observes the patient and rates independent performance in different tasks ranging from self-care, sphincter control, transfers, locomotion, communication, and social cognition. Qualified telephone interviewers can also administer the scale to determine functioning postdischarge based on interview with patient and/or family. Each FIM rater is certified as qualified by the Uniform Data System for Medical Rehabilitation and has periodic recertification. Total scores range from 18 to 126, with a minimum score on each of the 18 tasks of 1 and a maximum score of 7. The FIM was assessed at admission, discharge, and 1-year follow-up.

Glasgow Outcome Scale−Extended 

The Glasgow Outcome Scale−Extended (GOS-E)32 expanded the 5 categories of the original GOS to be more sensitive to change in disability and recovery. The scale categories include dead, vegetative state, lower severe disability, upper severe disability, lower moderate disability, upper moderate disability, lower good recovery, and upper good recovery. The GOS-E provides a structured interview, which has shown good interrater reliability (κ=.85)32 and content validity (see Levin et al33). This outcome was measured at the 1-year follow-up in the current study.

Statistical Analyses 

Demographic characteristics were analyzed by using chi-square tests. Nonparametric Mann-Whitney U tests were used to evaluate minority status differences in injury and rehabilitation characteristics and functional outcomes. Because the 4 functional outcome variables were markedly skewed, multivariable proportional odds logistics regression modeling was used after converting the outcome variables into ordinal quartiles or tertiles using all available data for the respective variables to determine cutpoints. The DRS and CIQ were divided into quartiles and FIM into tertiles, and each was used as a dependent variable in separate proportional odds models to test for differences in ethnicity after controlling for age, length of PTA, injury severity, DRS score at admission or FIM score at admission (in their respective models), and preinjury educational level. FIM was categorized into tertiles for modeling purposes because quartiles violated the proportional odds assumption (chi-square test for proportionality, P<.05). GOS-E tertiles were created by combining scale categories (dead/vegetative/severe, moderate, good) but were not modeled because the proportional odds assumption was not tenable (see McCullagh and Nelder34 for discussion of proportional odds logistic regression models).

To consider the potential effect that missing data had on these analyses, we created datasets with no missing values with a multiple imputation procedure. Instead of filling in a single value for each missing value, the multiple imputation procedure replaced each missing value with a set of plausible values that represented the uncertainty about the right values to impute.35 The Markov chain Monte Carlo method as available with PROC MIa was used for the multiple imputations. Then, the same proportional odds (logistic) regression models were run on the imputed datasets, and the resulting parameter estimates pooled over the imputations with PROC MIANALYZEa to obtain revised estimates of the parameters and their standard errors.

To consider the possibility of a cohort effect or that differences in outcomes were not consistent throughout the study period, we created an indicator (dummy) variable for pre- and post-1995 enrollment in TBIMS. The data were too sparse to consider cohort effects on a year-by-year basis, but a double digit jump in annual enrollment starting in 1995 for Hispanics might be a signal for the start of a new cohort. Also, the cohort dummy variable was added to 3 proportional odds models to evaluate the extent to which a cohort effect could explain the results.

Results 

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Admission 

As seen in table 1, Hispanic TBI survivors were more likely to be men (P≤.001), less educated (P≤.001), earned less money (P≤.05), and were younger (P≤.001) than whites. There were no significant differences in marital and employment status between groups. Table 2 shows that Hispanics were twice as likely to suffer a violence-related TBI compared with whites (P≤.001). Hispanics had significantly lower GCS scores at admission (P≤.01). No statistically significant differences were found between whites and Hispanics on length of PTA, duration of rehabilitation services, or the total LOS. As indicated in table 3, there were no significant differences between Hispanics and whites on the DRS or on the FIM instrument at admission.

Table 1.

Demographic Characteristics

VariablesHispanicsWhitesP
Mean age ± SD (y)33.2±14.4 (n=311)38.0±17.9 (n=2745)<.001
Sex (%)(n=311)(n=2745)<.001
Male80.771.5
Female19.328.5
Marital status (%)(n=309)(n=2741).526
Married32.033.9
Unmarried68.066.1
Employment status (%)(n=108)(n=1066).689
Student5.68.8
Competitively employed64.864.4
Unemployed12.09.6
Retired13.013.8
Other4.63.5
Education (%)(n=286)(n=2605)<.001
No college education82.563.6
Any college education17.536.4
Annual earning (%)(n=53)(n=590)<.05
≤$49,99996.280.7
$50,000–$99,9993.815.6
≥$100,0000.03.7

Abbreviation: SD, standard deviation.

Table 2.

Injury and Rehabilitation Characteristics

VariablesHispanicsWhitesP
Injury characteristics
GCS7.9±4.1(n=246)8.8±4.4(n=2117)<.01
PTA27.3±19.8(n=215)28.0±23.8(n=1882).370
Cause of the injury (%)(n=310)(n=2736)<.001
Vehicular49.062.9
Acts of violence20.08.3
Sports0.31.9
Falls29.025.1
Pedestrian1.61.9
Rehabilitation characteristics
LOS in acute care23.0±17.0(n=311)21.0±16.5(n=2745).022
LOS in rehabilitation28.7±21.8(n=303)29.9±27.8(n=2671).397
Total LOS51.6±31.1(n=303)50.9±37.4(n=2671).082

NOTE. Values are mean ± SD or as otherwise indicated.

Table 3.

Functional Outcomes

Functional OutcomesHispanicsWhitesP
DRS
Admission12.7±5.3(n=299)12.3±5.8(n=2672).112
Discharge6.1±4.0(n=300)6.0±4.0(n=2680).588
1-year follow-up3.5±3.6(n=182)2.4±3.4(n=2089)<.001
FIM
Admission54.0±24.8(n=206)54.5±26.3(n=1799).867
Discharge95.1±22.5(n=215)96.2±23.4(n=1903).171
1-year follow-up113.2±17.1(n=114)116.4±18.5(n=1197)<.001
CIQ(n=112)(n=1265)
1-year follow-up13.8±5.416.1±5.7<.001
GOS-E(n=121)(n=1628)
1-year follow-up5.0±1.75.7±1.7<.001

NOTE. Values are mean ± SD.

Discharge 

Table 3 shows that at discharge from inpatient rehabilitation, there were no significant differences between Hispanics and whites for the DRS or the FIM.

One-Year Follow-Up 

Fig 1, Fig 2, Fig 3, Fig 4 and table 4 show that Hispanics were significantly more likely to score in the worse quartile (1 quartile) for the DRS, FIM, GOS-E, and CIQ compared with whites at 1-year follow-up (Cochran-Armitage trend tests, P<.001) (for each variable, see table 4). For example, significantly more Hispanics (34%) had higher DRS scores (1 quartile) compared with whites (18%). For the FIM, 41% of Hispanics were in the worse quartile compared with 24% of whites. Similar results were observed for the GOS-E (48% vs 27%) and CIQ (37% vs 26%).


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Fig 1. DRS score at 1 year postinjury. ■, Hispanics; □, whites.



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Fig 2. FIM score at 1 year postinjury. ■, Hispanics; □, whites.



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Fig 3. CIQ score at 1 year postinjury. ■, Hispanics; □, whites.



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Fig 4. The GOS-E score at 1 year postinjury. ■, Hispanics; □, whites.


Table 4.

Distribution of Outcomes for Hispanics and Whites

Outcome Measure0.00.1−1.51.6−4.0≥4.0P
DRS (1-y follow-up) <.001
Hispanic15%21%30%34%
27395561
Whites30%28%24%18%
628577498386
18−116117−122123−125≥126
FIM (1-y follow-up) <.001
Hispanic41%21%20%18%
47242320
Whites24%25%27%24%
288298321290
1–45–67–8P
GOS-E (1-y follow-up) <.001
Hispanic48%30%22%
583627
Whites27%35%37%
445577606
0−1112−1516–19≥20
CIQ (1-y follow-up) <.001
Hispanic37%25%21%18%
41282320
Whites26%24%24%26%
273272338382

Cochran-Armitage trend test.

Similar conclusions can be drawn for the DRS, FIM, and CIQ from the adjusted proportional odds logistic regression models (table 5). The cumulative odds for being in worse quartiles is significantly higher for Hispanics compared with whites for the DRS, FIM, and CIQ, the adjusted or ordinal multiple logistic regression models. For example, in the model with the DRS as the 4-category ordinal outcome variable after adjusting for DRS score at admission, age, PTA, education, and GCS score, Hispanics had 2.8 times higher odds than whites for being in the worst quartile (1 quartile), worst 2 quartiles (1 or 2 quartiles), or worst 3 quartiles (1 or 2 or 4 quartiles) versus being in the remaining quartile(s), respectively. Similar results were obtained for the FIM and CIQ in their adjusted models.

Table 5.

Proportional Odds Models for 1-Year Follow-Up

Complete Case Analyses (Listwise Deletion)Multiple Imputation Analyses
VariableReferenceAdjusted OR95% CIPVariableReferenceAdjusted OR95% CIP
DRS (n=1196) DRS (n=3056)
DRS admission1 unit1.031.02−1.04<.001DRS admission1 unit1.021.01−1.02<.001
Age1 unit1.031.02−1.04<.001Age1 unit1.031.02−1.03<.001
PTA1 unit1.021.01−1.02<.001PTA1 unit1.021.01−1.02.004
CollegeYes0.540.43−0.67<.001CollegeYes0.620.52−0.74<.001
No1 No1
GCSMild0.890.67−1.17.407GCSMild0.650.49−0.85.003
Moderate1.080.80−1.45.635 Moderate0.740.58−0.94.017
Severe1 Severe1
HispanicYes2.791.90−4.09<.001HispanicYes2.211.66−2.94<.001
No1 No1
FIM (n=557)FIM (n=3056)
FIM admission1 unit0.980.97−0.99<.001FIM admission1 unit0.980.97−0.99.002
Age1 unit1.021.01−1.03<.001Age1 unit1.021.01−1.03.001
PTA1 unit1.021.01−1.02.001PTA1 unit1.011.00−1.02.131
CollegeYes0.560.40−0.79.001CollegeYes0.730.58−0.91.007
No1 No1
GCSMild1.470.95−2.29.085GCSMild0.960.62−1.49.842
Moderate1.390.90−2.15.138 Moderate0.940.64−1.37.713
Severe1 Severe1
HispanicYes2.981.68−5.29<.001HispanicYes1.701.23−2.35.002
No1 No1
CIQ (n=703)CIQ (n=3056)
Age1 unit1.041.03−1.05<.001Age1 unit1.041.03−1.05<.001
PTA1 unit1.021.01−1.02<.001PTA1 unit1.021.01−1.02.002
CollegeYes0.400.30−0.54<.001CollegeYes0.460.37−0.56<.001
No1 No1
GCSMild0.830.58−1.19.301GCSMild0.750.57−1.05.043
Moderate0.770.53−1.12.174 Moderate0.780.61−1.02.063
Severe1 Severe1
HispanicYes2.921.78−4.79<.001HispanicYes1.611.06−2.44.030
No1 No1

Abbreviations: CI, confidence interval; OR, odds ratio.

Based on Wald test.

Based on t distribution.

Accepting the idea that imputations produced reasonable replacements for the missing values, the analyses based on multiple imputations revealed a shift toward the null but did not eradicate the complete case analysis (see table 5). Hispanics still fared worse compared with whites with significantly higher odds of worse functional outcomes and community integration at 1 year postdischarge.

There were no differences between the pre- and post-1995 cohorts of Hispanics on the the following demographics (covariates) used in each model: college (P=.729), GCS score (P=.808), age (P=.976), and PTA (P=.469). Also, there was no difference in the proportion enrolled in TBIMS between Hispanics and whites pre- and post-1995 (P=.139), and finally the dummy variable for cohort was not significant in each of the proportional odds models either as a main effect or as an interaction effect with race and ethnicity.

Discussion 

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This is the largest, multicenter, longitudinal study of the impact of ethnicity on functional outcome after TBI in the literature. The purpose of the present study was to examine the relation between Hispanic ethnicity and rehabilitation outcome in TBI survivors on admission to and discharge from inpatient rehabilitation as well as 1 year postinjury. This study extends prior TBIMS research by focusing specifically on Hispanics, controlling for injury severity, and assessing outcomes at 1 year postinjury. Results showed that there were no significant differences between whites and Hispanic TBI survivors in functional outcome at both admission and discharge. In contrast, at 1 year postinjury, Hispanics were now approximately 2.5 times more likely than whites to have worse outcomes across all functional outcome measures. Even controlling for differences between Hispanics and whites at admission to rehabilitation, significant differences in all categories of functioning at 1 year postinjury were observed.

The findings of this large-scale, multicenter study confirm some of the demographic, injury, and discharge functional outcome results previously reported in the literature. For example, a smaller TBIMS database study comparing a minority (black, n=216; Hispanic, n=42) group of TBI survivors to a white group (n=310) of TBI survivors used data from the 4 initial TBIMS.36 The finding of significantly lower levels of education among minority TBI survivors at admission was reported in both studies. In addition, both studies found that the minority and white TBI survivor groups were similar with respect to their cognitive and physical functioning at admission and discharge. Most important, both the present study and Rosenthal et al36 found that the minority group had significantly lower levels of community integration at 1 year postdischarge. Another small study by Hart et al30 compared 55 white and 39 black TBI survivors and found that despite the similar demographic characteristics, at the 1-year follow-up, blacks scored significantly lower on the social integration subscale of the CIQ than whites. Additionally, Hart30 reported that black TBI survivors also significantly decreased their income from preinjury to 1-year follow-up, whereas their white counterparts did not. Thus, although differences in educational level may initially appear to account for differences in community integration at 1 year postdischarge, loss of income may be a more important contributor to lower community integration scores.

Some findings of the present study are not consistent with previously reported findings. For example, Burnett et al37 examined data from a single TBIMS center over a 10-year period and described the demographic, injury, and rehabilitation discharge outcome characteristics of a minority group composed of African-American (n=82) and Hispanic (n=5) TBI survivors. Burnett reported no differences in injury characteristics at admission or functional outcomes on discharge when this group was compared with a white group. Unfortunately, the statistical analyses and corresponding results are not reported in the study and no information is provided regarding the white TBI survivor comparison group. The present much larger scale study did find significant differences in outcome between Hispanics and whites and by virtue of the sample size alone, more likely reflects true differences between groups than the descriptive analysis of a relatively small sample of minority TBI survivors as reported by Burnett.37 Initial sociodemographic factors (eg, income and educational levels) found in the present study may have differentially affected rehabilitation characteristics and functional outcomes at 1-year follow-up, even though admission data and discharge outcomes were not affected. It is likely that while patients are in rehabilitation, they receive similar services, regardless of preinjury socioeconomic levels. However, when patients are discharged, sociodemographic variables may assume a more important role (eg, in access to transportation and outpatient rehabilitation services, level of income, language). Alternatively, TBI has been shown to affect socioeconomic levels after discharge (eg, loss of employment), and it is not clear if preinjury sociodemographic variables are as influential as the environment to which one returns to19 in determining rehabilitation outcomes in diverse individuals. Because very little is known about the factors that influence rehabilitation outcomes in minorities, future studies should examine the role of pre- and postinjury sociodemographic variables, independent of and in combination with ethnicity and other factors.

In the present study, the Hispanic group was more than twice as likely as the white group to have sustained a TBI as a result of violence. This is not surprising given the findings of other TBIMS studies that have looked at risk factors for brain injury in minorities and show that violent injuries are especially common (eg, Hanks et al38). This may be a consequence of a higher likelihood of living in potentially dangerous residential environments and/or being exposed to occupational hazards than their white counterparts.19 Differences in TBI etiology among Hispanics and whites may have contributed to a significantly lower initial GCS at admission for the Hispanic group.

Although similarities in functional status at admission and discharge may initially seem surprising given the differences in sociodemographic and injury characteristics reported between groups, an understanding of the inpatient rehabilitation selection process clarifies these seemingly disparate findings. For persons to “qualify” for admission to a TBIMS inpatient brain injury rehabilitation unit, they must first be able to show specific social support, physical, neurologic, and medical characteristics. Namely, they must be able to have reached a certain physical and functional threshold to meet admission criteria. Although this process is necessary for rehabilitation units to meet their mandate of effectively and efficiently returning individuals to the community, it also reduces the physical and functional variability observed after TBI. Likewise, even though initial demographic variables differ between groups, it is likely that both Hispanics and whites in the current sample had similar levels (even if they were of different make up) of social supports in place to enable a discharge to “home.” Thus, the inpatient rehabilitation requirements for admission to a TBIMS program may artificially “normalize” much of the variation seen acutely after TBI. Unfortunately, this homogenization limits the generalizability of this research for the population of all patients after moderate to severe TBI. At the same time, the conclusion from the current results on Hispanics must be somewhat conservative, and even larger differences may be observed if the admission criteria were in some way affecting Hispanics more than whites.

Importantly, the present study identified significant differences in functional and community integration outcomes at the 1-year postinjury follow-up between TBI survivors of Hispanic and white ethnicities. The Hispanic TBI survivors showed lower cognitive functioning on the DRS, lower cognitive and physical functioning on the GOS-E and FIM, and lower community integration on the CIQ. Given the similarities between the 2 groups in these parameters at rehabilitation discharge, it is unlikely that these new differences were the result of the initial brain injury. Rather, the differences are likely to have been caused by factors after discharge such as differences in socioeconomic status, ongoing social supports, late medical complications (both those related to the TBI and non-TBI issues), access to medical and rehabilitation aftercare, societal barriers (eg, unequal access to vocational opportunities), and cultural differences (eg, acculturation level, English language proficiency, religious issues, family roles, mistrust in majority group care providers, low expectations of recovery). Future research must necessarily focus on identifying the post–inpatient rehabilitation factors that are the most important contributors to successful functional and community integration outcomes in the Hispanic TBI survivor subpopulation.

The family plays an important role in the rehabilitation process once the TBI survivor is discharged. Hispanics often believe that the best place for the injured person is in the home to be cared for by a member of the family.39 Given the fact that many of the caregivers of Hispanic TBI survivors are dealing with multiple challenges that were most likely in place before their loved one’s injury (eg, fewer financial resources, less access to resources) and that these challenges may have been exacerbated by numerous postinjury stressors, the interplay between caregiver functioning and TBI survivor outcome deserves further study. Interventions geared toward assisting the caregiver (eg, providing information in the person’s native language and offering support groups [possibly even psychotherapy] to discuss problems and how to solve them) could then be developed and implemented to improve functional and community integration outcomes.

Study Limitations 

The present large, multicenter, longitudinal study used well-accepted and standardized measures of describing patient and injury characteristics and prospectively collected outcome data; however, it has a number of limitations. The measures used have been standardized in white populations and are accepted measures when used within this majority group. The present study introduces a separate minority subgroup, and it is quite possible that the measures do not maintain the same internal validity. For example, community integration may be different across ethnicities and the questions found on the CIQ, for instance, may not accurately reflect community reintegration of a Hispanic into his/her community. In other words, the baseline levels of certain outcome measures may have been different between whites and Hispanics, leading to erroneous conclusions of change at the 1-year follow-up. Language translation of the instruments used to collect data from Hispanic TBI survivors and their caregivers may have also confounded the results in that simple translations are not always adequate.40

Missing data and the attrition rates of this retrospective database study may pose another limitation. NIDRR, who maintains the database through the TBI National Data Center, has implemented rigorous standards to assure high follow-up rates and low missing data rates. Moreover, there are quality control algorithms programmed into the database to promote accuracy, uniformity, and compliance. However, there is the possibility that data were not missing at random, as was assumed in the statistical analyses conducted in the present study. Future prospective studies of rehabilitation outcomes in minority groups are needed to shed light on the situation of health disparities in TBI treatment.

As noted, the requirement that all patients enrolled in the TBIMS database receive inpatient rehabilitation may limit the generalizability of these results because Hispanics may be less likely than whites to be in such programs. Future research assessing ethnic differences in a less restricted sample of people with TBI would extend this generalizability. Because ethnicity was a self-defined variable, the term ethnicity in the present study reflects cultural identity rather than race per se. It is difficult to partial out the effects of sociodemographic differences from the impact of ethnicity, and therefore it would also be helpful to compare this Hispanic group with other minority populations, including blacks or Native Americans, in order to identify the similarities and differences in preinjury factors as well as postinjury outcomes.

Conclusions 

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In this large, multicenter, longitudinal study, Hispanic ethnicity was associated with poorer functional outcomes at 1 year postinjury relative to whites, despite a lack of significant group differences at discharge. Future studies should be aimed toward understanding variables that contribute to these long-term group differences as well as examining the potential impact on everyday quality of life such as return to work, productivity, attitudes, and beliefs about disability and rehabilitation as well as access to health care.

Supplier

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a Kessler Medical Rehabilitation Research and Education Corp, West Orange, NJ

b Department of Physical Medicine and Rehabilitation, University of Medicine and Dentistry of New Jersey, Newark, NJ

c Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA

d Department of Physical Medicine and Rehabilitation, Wayne State University, Detroit, MI.

Corresponding Author InformationReprint requests to Juan Carlos Arango-Lasprilla, PhD, Neuropsychology and Neuroscience Laboratory, Kessler Medical Rehabilitation Research and Education Corp, 300 Executive Dr, Ste 010, West Orange, NJ 07052.

 Supported in part by the National Institute on Disability and Rehabilitation Research (grants no. H133A011403, H133A020515), the National Institutes of Health (grants no. HD07522-05, T32 HD007522-05), and the Henry H. Kessler Foundation.

No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

a Version 9; SAS Institute Inc, 100 SAS Campus Dr, Cary, NC 27513.

PII: S0003-9993(06)01438-9

doi:10.1016/j.apmr.2006.10.029


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