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. Author manuscript; available in PMC: 2015 Mar 26.
Published in final edited form as: Arch Phys Med Rehabil. 2014 Aug 2;95(11):2140–2151. doi: 10.1016/j.apmr.2014.07.398

Racial and Ethnic Disparities in Functioning at Discharge and Follow-Up Among Patients With Motor Complete Spinal Cord Injury

Denise C Fyffe a,b, Anne Deutsch c,d, Amanda L Botticello a,b, Steven Kirshblum a,b,e, Kenneth J Ottenbacher f
PMCID: PMC4374601  NIHMSID: NIHMS671786  PMID: 25093999

Abstract

Objective

To examine racial and ethnic differences in self-care and mobility outcomes for persons with a motor complete, traumatic spinal cord injury (SCI) at discharge and 1-year follow-up.

Design

Retrospective cohort study.

Setting

Sixteen rehabilitation centers contributing to the Spinal Cord Injury Model Systems (SCIMS) database.

Participants

Adults with traumatic, motor complete SCI (N=1766; American Spinal Injury Association Impairment Scale grade A or B) enrolled in the SCIMS between 2000 and 2011. Selected cases had complete self-reported data on race and ethnicity (non-Hispanic white, non-Hispanic black, or Hispanic) and motor FIM scores assessed at inpatient rehabilitation admission, discharge, and 1-year follow-up.

Interventions

Not applicable.

Main Outcome Measures

Functional outcomes were measured by FIM self-care and mobility scores on a 1 to 7 FIM scale, at discharge and 1-year follow-up.

Results

Multiple regression models stratified by neurologic category and adjusted for sociodemographic and injury characteristics assessed racial and ethnic group differences in FIM self-care and mobility change scores at discharge and 1-year follow-up. At discharge, non-Hispanic black participants with tetraplegia and paraplegia had significantly poorer gains in FIM self-care and mobility scores relative to non-Hispanic white and Hispanic participants. At 1-year follow-up, similar FIM self-care and mobility change scores were found across racial and ethnic groups within each neurologic category.

Conclusions

Non-Hispanic white and Hispanic participants had comparatively more improvement in self-care and mobility during inpatient rehabilitation compared with non-Hispanic black participants. At 1-year follow-up, no differences in self-care and mobility outcomes were observed across racial and ethnic groups. Additional research is needed to identify potential modifiable factors that may contribute to racially and ethnically different patterns of functional outcomes observed during inpatient rehabilitation.

Keywords: Activities of daily living, Health status disparities, Motor activity, Rehabilitation, Spinal cord injuries


Spinal cord injury (SCI) is a sudden and debilitating injury that results in paralysis, sensory deficits, and drastically altered function and quality of life.13 According to the National Spinal Cord Injury Statistical Center, approximately 275,000 individuals in the United States are living with SCI, with roughly 12,000 new cases of SCI reported annually.4,5 The 3 largest racial and ethnic groups living with a traumatic SCI are non-Hispanic white (64.4%), non-Hispanic black (24.4%), and His-panic (7.9%), respectively.6

As the proportion of racial and ethnic minorities with SCI has increased over the past 3 decades, health disparities research in SCI has begun to reveal important differences in health outcomes among racial and ethnic groups. Racial and ethnic minorities living with an SCI are at increased risk of secondary health complications,79 psychological distress,10,11 poorer quality of life,11,12 and having inadequate wheelchair quality.13,14 For example, non-Hispanic black individuals living with SCI have higher rates of severe pressure ulcers requiring invasive treatment than their Hispanic and non-Hispanic white counterparts.8,15,16 Non-Hispanic black and Hispanic women with SCI also report more depressive symptoms in comparison to non-Hispanic black men and non-Hispanic white women and men.17,18 Only a fraction of persons with SCI attain gainful employment postinjury, and this socioeconomic problem is magnified by a significant employment gap observed between non-Hispanic whites and minority groups.1921 Any combination of these negative outcomes can impose an additional burden on health status, community integration and participation, and readjustment to life after an SCI for minority groups.

Despite the increased focus on the occurrence and implications of health disparities in medical rehabilitation, few SCI studies have examined the association between race and ethnicity on functional outcomes. Functional outcomes are the key predictors of SCI health status, community integration/participation, and quality of life, as well as quality indicators of inpatient rehabilitation facilities.22,23 Self-care and mobility are key domains of SCI rehabilitation used in the classification of therapeutic interventions2426 as well as constructs of commonly used rehabilitation outcome measures, such as the FIM.2729

Few published studies have used the Spinal Cord Injury Model Systems (SCIMS) data set to examine the impact of race and ethnicity on functional outcomes. Of these, 3 studied FIM scores from admission to discharge from inpatient rehabilitation,3032 while only 1 study analyzed changes in functional outcomes after discharge and up to 12 months postinjury.33 While these previous studies observed similar functional outcomes across racial and ethnic groups with SCI, their findings were limited by (1) relatively small sample sizes; (2) limited statistical power to disaggregate racial and ethnic differences (ie, these studies compared only white and black rather than non-Hispanic white, non-Hispanic black, and Hispanic groups), which does not account for the cultural diversity of individuals living with SCI and the potential impact of race and ethnicity on functional outcomes; and (3) broad functional measures that failed to capture clinically important aspects of functional gains over time, such as self-care and mobility.34,35 This cohort study builds on the current literature by examining the effect of race and ethnicity on self-care and mobility outcomes in individuals living with SCI at rehabilitation discharge and 1 year postinjury, after controlling for key sociodemographic and injury characteristics.

Methods

Data source

Secondary data analyses were conducted using data extracted from the SCIMS database (sponsored by the U.S. Department of Education’s National Institute on Disability and Rehabilitation Research). The SCIMS database is a longitudinal repository of clinical, psychosocial, health, and functional data on patients with traumatic SCI.36 In-depth descriptions of the SCIMS database history and methods are described elsewhere.4,3638 Each center has approval by its local institutional review board, and the primary site for the current study obtained approval from the institutional review board to conduct the current analysis.

Analytic sample

The study sample was derived from acute rehabilitation programs and 1-year follow-up data from persons with traumatic SCI enrolled in the SCIMS database between 2000 and 2011. A total of 16 unique rehabilitation facilities were included in the SCIMS database during the 2000 to 2006 and 2006 to 2011 SCIMS grant cycles. During these grant cycles, 11 rehabilitation facilities were consistently in both grant periods being studied. Inclusion criteria were informed by previous research and the Consortium for Spinal Cord Medicine’s clinical practice guidelines,23,39 to ensure our comparison groups were functionally similar. Sampling targeted (1) individuals from the 3 largest racial and ethnic groups included in the SCIMS database—persons who self-identified as non-Hispanic white, non-Hispanic black, and Hispanic; (2) persons classified with motor complete American Spinal Injury Association Impairment Scale grade A or B at discharge, consistent with the Consortium for Spinal Cord Medicine’s clinical practice guidelines23; (3) complete diagnostic information related to neurologic level of injury obtained at discharge; (4) onset date (ie, the period from injury data to admission date was <60 days), to ensure the similar clinical profiles (ie, minimize risk of major secondary complications associated with an SCI during acute care)40; and (5) complete FIM data at rehabilitation admission, discharge, and 1-year follow-up. Sampling methods are illustrated in figure 1 and yielded a final sample of 1766 participants. The proportions of non-Hispanic white, non-Hispanic black, and Hispanic participants were 62.6%, 25.5%, and 11.9%, respectively. When we compare the motor complete SCI cases missing FIM data with the motor complete cases not missing data, we found the following: (1) a small proportion of non-Hispanic whites were missing FIM data (P<.05); and (2) the group excluded for missing FIM data had significantly lower FIM self-care at admission (P<.05) and mobility scores at discharge (P<.01).

Fig. 1.

Fig. 1

Sample derivation. Abbreviation: AIS, American Spinal Injury Association Impairment Scale.

Independent variable

Racial and ethnic group differences in functional independence are the primary focus of the current analysis. The SCIMS collects self-identified data about race (ie, white, black, Native American, Eskimo or Aleut, Asian or Pacific Islander) separately from ethnicity (Hispanic origin). Hispanic origin is not mutually exclusive from racial categories; however, we prioritized Hispanic identity for those individuals who self-identified as being of Hispanic origin. The final race/ethnicity variable used in the analyses distinguished respondents who are non-Hispanic white, non-Hispanic black, and Hispanic.

Stratification criteria and covariates: injury characteristics

The SCIMS centers use standardized methods for the neurologic examination and classification of SCI based on the International Standards for Neurological Classification of Spinal Cord Injury.41 The sample was stratified based on the following neurologic categories: tetraplegia (C1-8) and paraplegia (T1 and below). Based on the 8 levels of injury outlined in the Consortium for Spinal Cord Medicine’s clinical practice guidelines,23 we adjusted for T1-9, T10-L1, and L2-S2 levels of lesions among participants with paraplegia, and adjusted for C1-3, C4, C5, C6, and C7-8 levels of lesions among participants with tetraplegia.42 We controlled for the leading causes of SCI including vehicular collisions, falls, violence, and other (ie, surgical, medical, and pedestrian).

Sociodemographic covariates

Informed by prior studies,21,4347 the following sociodemographic characteristics were included in our analyses because of their potential association with functional outcomes: (1) age at injury, which was skewed and recoded as a categorical variable—18 to 29 years, 30 to 49 years, and >50 years; (2) sex; (3) marital status, which was coded into 3 categories—single, no longer married including divorced and separated, and married; (4) educational attainment, which was coded into 3 categories—less than high school (up to grade 12), high school diploma (grade 12 or equivalent)/general equivalency diploma, and some college or greater; and (5) self-reported preinjury employment status, which was coded into 2 categories—unemployed (ie, unemployed, homemaker, student, retired, or other) and employed. The regression analyses included only preinjury demographic characteristics.

Outcome variables

Functional outcomes were measured using 11 motor FIM items. FIM items are rated on a scale of 1 (ie, total dependence) to 7 (ie, complete independence). We divided the motor FIM into 2 subdomains for analysis: self-care and mobility. The SCIMS collects FIM scores assessed during rehabilitation by trained clinicians, while follow-up scores are conducted by trained interviewers. Self-care was measured by summing 6 items (ie, eating, grooming, bathing, upper body dressing, lower body dressing, toileting) and dividing by the number of self-care items to maintain a metric (1–7) common with the original FIM rating scale. Similarly, mobility was measured by summing 5 items (ie, bed/wheelchair transfer, toilet transfer, tub/shower transfer, walk/wheelchair, stairs) and dividing by the number of items to enhance the interpretability of the scores in the multivariate analyses. Self-care and mobility scores demonstrated adequate internal consistency and reliability at admission (α=.81 and α=.63, respectively), discharge (α=.95 and α=.85, respectively), and 1-year follow-up (α=.95 and α= .84, respectively).

We assessed 2 sets of functional outcomes: (1) mean FIM self-care and mobility scores at discharge and 1-year follow-up; and (2) change in FIM self-care and mobility scores. We assessed change in FIM self-care and mobility scores at inpatient rehabilitation discharge (ie, discharge FIM score minus admission FIM score) and at 1-year follow-up (ie, 1-year follow-up FIM score minus discharge FIM score).

Statistical analyses

Chi-square and t tests analyses were used to assess racial and ethnic group differences across the covariates. For each neurologic category and at each time point, we compared the unadjusted mean FIM self-care and mobility scores as well as FIM self-care and mobility gains by racial and ethnic group and injury level by using analysis of variance and the Benjamini and Hochberg post hoc method. We calculated effect size to compare the magnitude of the differences in FIM change scores across the 3 racial and ethnic groups between admission, discharge, and 1-year follow-up.48,49 Effect size is defined as the mean change score divided by the pooled SD.48,49 We used Cohen’s general definitions of small (0.2), medium (0.4–0.5) and large (0.8) to interpret the effect size estimates.50

Linear regression models quantified the effect of race and ethnicity on change in FIM self-care and mobility scores. The models adjusted for admission FIM self-care or mobility scores, age at injury, injury etiology, neurologic level at discharge, sex, marital status, education level, and preinjury employment status. The reference categories for injury characteristics were based on the lowest level of lesion at rehabilitation discharge among cervical (eg, C1-3) and thoracic injuries (eg, T1-9). Reference categories for the demographic and socioeconomic covariates were selected based on indicators of socioeconomic advantage (ie, previously employed, more years of education). The Benjamini and Hochberg post hoc method was applied to determine the probability of type 1 errors and to confirm the significance of the regressions models. Data were analyzed using SPSS version 21a software.

Results

Table 1 compares the sociodemographic and injury characteristics, and FIM self-care and mobility scores across racial and ethnic groups within neurologic categories. Non-Hispanic white participants (mean age=36.4±14.0y) with paraplegia were older at the time of their injury than non-Hispanic black (mean age=29.3±9.7y) and Hispanic (mean age=30.8±10.3y) participants (F=35.5, P=.001). Among participants with tetraplegia and paraplegia, non-Hispanic whites were more likely to report completing some college, in comparison to non-Hispanic black and Hispanic participants (tetraplegia: χ24=84.1, P=.001; paraplegia: χ24=91.2, P=.001). On average, non-Hispanic black participants were more likely to report being unemployed pre-injury relative to non-Hispanic white and Hispanic participants (tetraplegia: χ22=19.0, P=.001; paraplegia: χ22=61.8, P=.001). Non-Hispanic black participants with paraplegia were disproportionately injured from acts of violence in comparison to non-Hispanic white and Hispanic participants (χ24=62.8, P=.001).51,52 The unadjusted mean and change in FIM self-care and mobility scores by race and ethnicity at rehabilitation admission, discharge, and 1-year follow-up are shown in table 2 (including effect sizes) and figures 2 and 3.

Table 1.

Sociodemographic and injury characteristics by neurologic category across racial and ethnic groups

Characteristics Tetraplegia
Paraplegia
Total Tetraplegia
(n=756)
Non-Hispanic
White (n=506)
Non-Hispanic
Black (n=155)
Hispanic
(n=95)
Total Paraplegia
(n=1010)
Non-Hispanic
White (n=600)
Non-Hispanic
Black (n=295)
Hispanic
(n=115)
Demographics
 Age at injury (y) 35.3±13.3 36.0±14.1 34.6±12.0 32.5±10.9 33.7±13.0 36.4±14.0 29.3±9.7* 30.8±10.3*
  18–29 41.7 40.7 41.3 47.4 46.8 39.8 59.0 52.2
  30–49 41.9 40.3 47.1 42.1 40.0 41.5 36.6 40.9
  ≥50 16.4 19.0 11.6 10.5 13.2 18.7 4.4* 7.0*
 Sex
  Male 82.3 81.2 83.9 85.3 83.4 80.3 89.5 83.5
 Marital status
  Single 47.3 44.4 55.5* 49.5 52.5 41.3 74.2* 54.8
  No longer married 17.1 17.7 18.1 12.6 13.6 16.0 9.2 12.2
  Married 35.5 37.9 26.5 37.9 34.0 42.7 16.6 33.0
Socioeconomic factors
 Education
  < HS 14.1 7.1* 27.2 31.5 20.1 10.9* 31.0 38.9
  HS/GED 63.0 63.5 64.2 58.4 60.6 63.8 56.9 54.0
  Some college + 22.8 29.4* 8.6 10.1 19.3 25.3* 12.1 7.1
 Employment status
  Preinjury employment status
   Unemployed 18.9 15.1 31.1* 19.8 21.0 14.0 36.8* 17.7
   Employed 81.1 84.9 68.9* 80.2 79.0 86.0 63.2* 82.3
  Postinjury employment status
   Unemployed 92.6 90.9 98.1 92.6 84.9 79.8 93.6* 89.6
   Employed 7.4 9.1 1.9 7.4 15.1 20.2* 6.4 10.4
Injury characteristics
 Injury etiology
  Vehicular 49.7 50.2 51.3 44.7 38.8 45.2 26.1* 38.6
  Falls 19.5 19.1 18.2 23.4 23.9 31.4 7.5 27.2
  Violence 8.8 3.6 22.7* 13.8* 24.6 6.4 61.0* 25.4
  Sports 20.0 25.1 5.8* 16.0 7.9 11.9 1.4* 3.5*
  Surgical/medical 0.8 0.8 0.6 1.1 3.5 4.0 2.4 3.5
  Pedestrian 1.2 1.2 1.3 1.1 1.3 1.0 1.7 1.8
 Neurologic level at discharge
  C1-3 (n=68) 9.0 8.7 9.7 9.5 NA NA NA NA
  C4 (n=263) 34.8 33.8 38.1 34.7 NA NA NA NA
  C5 (n=207) 27.4 27.7 26.5 27.4 NA NA NA NA
  C6 (n=148) 19.6 20.6 15.5 21.1 NA NA NA NA
  C7-8 (n=70) 9.3 9.3 10.3 7.4 NA NA NA NA
  T1-9 (n=585) NA NA NA NA 57.9 57.3 58.0 60.9
  T10-L1 (n=385) NA NA NA NA 38.1 38.2 38.6 36.5
  L2-S2 (n=40) NA NA NA NA 4.0 4.5 3.4 2.6
 Length of stay (no. of days from acute rehabilitation to discharge)
  Mean ± SD 78.8±44.4 82.7±45.0 68.0±42.1 75.6±42.6 52.5±33.2 54.1±33.6 48.2±32.2 55±33.0
  Median 67.0 72.0 57.0 63.0 43.0 45.0 38.0 46.5
 Admission rehabilitation motor FIM scores
  Self-care (6 items) 1.3±0.6 (1.0–5.0) 1.2±0.5 (1.0–4.0) 1.3±0.7 (1.0–5.0) 1.2±0.5 (1.0–3.5) 3.0±0.8 (1.0–6.5) 2.9±0.9 (1.0–6.3) 3.1±0.8 (1.0–6.5) 3.0±0.8 (1.3–5.1)
  Mobility (5 items) 1.1±0.3 (1.0–3.6) 1.1±0.3 (1.0–3.4) 1.1±0.3 (1.0–3.6) 1.2±0.3 (1.0–3.0) 1.7±0.7 (1.0–5.6) 1.6±0.7 (1.0– 5.4) 1.7±0.6 (1.0–4.6) 1.7±0.8 (1.0–5.6)
 Discharge motor FIM scores
  Self-care (6 items) 2.6±1.4 (1.0–6.6) 2.6±1.5 (1.0–6.6) 2.2±1.2 (1.0–6.5) 2.8±1.4 (1.0–6.3) 5.5±1.0 (1.5–7.0) 5.5±1.0 (1.5–7.0) 5.5±1.0 (1.5–7.0) 5.9±0.8 (2.67–7.0)
  Mobility (5 items) 2.2±0.9 (1.0–6.4) 2.3±1.0 (1.0–6.2) 2.0±0.9 (1.0–6.4) 2.4±0.9 (1.0–5.0) 4.2±1.0 (1.0–7.0) 4.2±1.0 (1.0– 7.0) 4.2±0.9 (1.0–6.0) 4.4±0.8 (2.0–6.0)
 1-year follow-up motor FIM scores
  Self-care (6 items) 3.0±1.8 (1.0–7.0) 3.0±1.8 (1.0–7.0) 2.8±1.8 (1.0–7.0) 3.2±1.8 (1.0–7.0) 6.2±1.0 (1.5–7.0) 6.2±1.0 (1.5– 7.0) 6.1±1.1 (1.6–7.0) 6.2±0.9 (3.1–7.0)
  Mobility (5 items) 2.5±1.4 (1.0–7.0) 2.6±1.4 (1.0–7.0) 2.3±1.3 (1.0–6.8) 2.7±1.3 (1.0–5.8) 4.8±1.1 (1.0–7.0) 4.8±1.1 (1.0– 7.0) 4.7±1.1 (1.0–6.8) 4.8±1.1 (1.0–7.0)

NOTE. Values are mean ± SD, %, mean ± SD (range), or as otherwise indicated. FIM self-care ratings were calculated by the sum of 6 items (ie, eating, grooming, bathing, upper body dressing, lower body dressing, toileting) and divided by the number of items. FIM mobility ratings were calculated by the sum of 5 items (ie, bed/wheelchair transfer, toilet transfer, tub/shower transfer, walk/wheelchair, stairs) and divided by the number of items.

Abbreviations: GED, general equivalency diploma; HS, high school; NA, not applicable.

*

P<.001.

P<.01.

P<.05.

Table 2.

Effect size calculations based on unadjusted mean change in FIM self-care and mobility scores

FIM Subscale Racial/Ethnic Group Comparison Admission to Discharge Change FIM Scores Effect Size Discharge to 1-Year Follow-Up Change FIM Scores Effect Size Admission to 1-Year Follow-Up Change FIM Scores Effect Size
Tetraplegia (n=756)
 Self-care
NHW-NHB 1.4±1.2 – 0.9±0.9 .47* 0.3±1.1 – 0.5±1.2 −.17 1.7±1.6 – 1.5±1.5 .13
NHW-Hisp/Latino 1.4±1.2 – 1.5±1.2 −.08 0.3±1.1 – 0.4±1.4 −.08 1.7±1.6 – 2.0±1.6 −.18
NHB-Hisp/Latino 0.9±0.9 – 1.5±1.2 −.56* 0.5±1.2 – 0.4±1.4 .07 1.5±1.5 – 2.0±1.6 −.32
 Mobility
NHW-NHB 1.2±0.9 – 0.9±0.8 .35 0.3±1.0 – 0.4±1.1 −.09 1.5±1.3 – 1.2±1.3 .23*
NHW-Hisp/Latino 1.2±0.9 – 1.2±0.9 0 0.3±1.0 – 0.3±1.0 0 1.5±1.3 – 1.5±1.3 0
NHB-Hisp/Latino 0.9±0.8 – 1.2±0.9 −.35 0.4±1.1 – 0.9±1.0 .09 1.2±1.3 – 1.5±1.3 −.23
Paraplegia (n=1010)
 Self-care
NHW-NHB 2.6±1.1 – 2.4±1.0 .19 0.7±1.1 – 0.6±1.3 .08 3.3±1.2 – 3.0±1.3 .24
NHW-Hisp/Latino 2.6±1.1 – 2.8±1.0 −.19 0.7±1.1 – 0.3±1.1 .36 3.3±1.2 – 3.2±1.1 .08
NHB-Hisp/Latino 2.4±1.0 – 2.8±1.0 −.39 0.6±1.3 – 0.3±1.1 .25 3.0±1.3 – 3.2±1.1 −.17
 Mobility
NHW-NHB 2.5±1.1 – 2.5±1.0 0 0.7±1.0 – 0.5±1.2 .18 3.2±1.2 – 3.0±1.3 .16
NHW-Hisp/Latino 2.5±1.1 – 2.6±1.0 −.09 0.7±1.0 – 0.4±1.0 .30 3.2±1.2 – 3.1±1.2 .08
NHB-Hisp/Latino 2.5±1.1 – 2.5±1.0 0 0.5±1.2 – 0.4±1.0 .09 3.0±1.3 – 3.1±1.2 −.08

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

Abbreviations: Hisp, Hispanic; NHB, non-Hispanic black; NHW, non-Hispanic white.

*

Medium effect size: 0.4–0.59.

Small to medium effect size: 0.2–0.39.

Fig. 2.

Fig. 2

Unadjusted mean change in FIM self-care and mobility scores by race and ethnicity among SCI patients with tetraplegia. Abbreviations: NHB, non-Hispanic black; NHW, non-Hispanic white.

Fig. 3.

Fig. 3

Unadjusted mean change in FIM self-care and mobility scores by race and ethnicity among SCI patients with paraplegia. Abbreviations: NHB, non-Hispanic black; NHW, non-Hispanic white.

In tables 3 and 4, we reported the regression coefficients, stratified by neurologic category, for race and ethnicity associated with the change in FIM self-care and mobility scores during rehabilitation and at 1-year follow-up, adjusting for sociodemographic and injury characteristics. Non-Hispanic black participants with tetraplegia had significantly smaller gains in self-care scores during rehabilitation in comparison to non-Hispanic white participants with tetraplegia (β=−.30; 95% confidence interval [CI], −.48 to −.11; P=.002). Hispanics with tetraplegia had significantly more improvement in self-care change scores (β=.30; 95% CI, .07–.52; P=.01) relative to non-Hispanic whites during rehabilitation. At 1-year follow-up, no racial or ethnic differences in self-care change scores were observed. However, smaller gains in mobility scores were observed for non-Hispanic black participants (β=−.19; 95% CI, −.35 to −.03; P=.02) with tetraplegia during rehabilitation in comparison to non-Hispanic whites. Among Hispanics with tetraplegia, no significant difference in mobility scores was observed in comparison to non-Hispanic whites during rehabilitation and at 1-year follow-up.

Table 3.

Association between race/ethnicity and change in FIM self-care and mobility scores at discharge and 1-year after rehabilitation among persons with tetraplegia (N=756)

Race/Ethnicity Self-Care
Mobility
Discharge 1-Year Follow-Up Discharge 1-Year Follow-Up
Non-Hispanic white Reference Reference Reference Reference
Non-Hispanic black .30 (−.48 to −.11)
P=.002
.23 (−.01 to .46)
P=.06
−.19 (−.35 to −.03)
P=.02
.07 (−.13 to .28)
P=.47
Hispanic .30 (.07 to .52)
P=.01
−.02 (−.30 to .26)
P=.87
.11 (−.08 to .30)
P=.27
−.10 (−.34 to .15)
P=.45

NOTE. Values are β (95% CI) or as otherwise indicated. β is an unstandardized coefficient. Adjusted for admission FIM self-care or mobility scores, age at injury, injury etiology, neurologic level at discharge, sex, marital status, education level, and preinjury employment status.

Table 4.

Association between race/ethnicity and change in FIM self-care and mobility scores at discharge and 1-year after rehabilitation among persons with paraplegia (N=1010)

Race/Ethnicity Self-Care
Mobility
Discharge 1-Year Follow-Up Discharge 1-Year Follow-Up
Non-Hispanic white Reference Reference Reference Reference
Non-Hispanic black −.27 (−.46 to −.08)
P=.005
.02 (−.19 to .22)
P=.86
−.21 (−.40 to −.03)
P=.02
.01 (−.18 to .20)
P=.91
Hispanic .21 (−.01 to .44)
P=.06
−.33 (−.58 to −.08)
P=.009
.02 (−.20 to .24)
P=.84
−.18 (−.42 to .05)
P=.12

NOTE. Values are β (95% CI) or as otherwise indicated. β is an unstandardized coefficient. Adjusted for admission FIM self-care or mobility scores, age at injury, injury etiology, neurologic level at discharge, sex, marital status, education level, and preinjury employment status.

Among participants with paraplegia (see table 4), the change in FIM self-care scores was significantly different across race and ethnic groups at discharge. Non-Hispanic black participants with paraplegia had significantly smaller self-care gains than non-Hispanic whites during rehabilitation (β=−.27; 95% CI, −.46 to −.08; P=.005). At 1-year follow-up, Hispanic participants with paraplegia demonstrated significantly smaller gains in self-care scores relative to non-Hispanic white participants (β=−.33; 95% CI, −.58 to −.08; P=.009). The mean change in FIM mobility scores at 1-year follow-up was not significantly different across racial or ethnic groups with paraplegia.

Discussion

This study examined the effect of race and ethnicity on self-care and mobility outcomes at discharge and 1-year follow-up among patients with motor complete SCI. Small, significant differences in functional improvements were observed across racial and ethnic groups at discharge. There were no differences observed at 1-year follow-up.

When demographic and injury covariates were taken into account, non-Hispanic black participants with tetraplegia and paraplegia achieved significantly smaller gains in FIM self-care and mobility scores during inpatient rehabilitation in comparison to non-Hispanic white and Hispanic participants. Based on the estimates obtained from this analysis, on average, participants with paraplegia were admitted to rehabilitation with self-care scores of 3.0 (ie, needing moderate assistance) on the 1 to 7 FIM scale. The average gains made over the course of rehabilitation differed by race and ethnicity. Non-Hispanic whites and Hispanics in this sample gained 3.8 and 4.0 FIM units, respectively (adjusting for the covariates), which means that by discharge, the average person with paraplegia of non-Hispanic white or Hispanic descent had an FIM self-care score of 7 and was completely independent in self-care. In comparison, the non-Hispanic blacks gained an average of approximately 3.5 units, which translates to requiring minimal assistance at discharge. Although this is a relatively small difference, this discrepancy implies that non-Hispanic black persons with paraplegia may require more assistance (with devices) in comparison to their non-Hispanic white and Hispanic peers. This places further challenges on persons of non-Hispanic black background in addition to the physical, social, and emotional challenges of SCI, as the need for assistive devices requires resources and advocacy on the part of patients and their families at a time of significant readjustment to life with a disability.

Although not statistically significant, previous studies30,32 using the SCIMS database also observed lower FIM scores at discharge among non-Hispanic black patients with SCI relative to non-Hispanic white patients with SCI. Poorer functional outcomes observed at discharge among non-Hispanic black individuals with tetraplegia and paraplegia may be attributed cultural factors or to reduced access to economic and supportive resources during inpatient rehabilitation. For example, Myaskovsky et al12 found that non-Hispanic black individuals with SCI reported more experiences of discrimination in health care, greater perceived racism, more health care system distrust, and lower health literacy than did non-Hispanic whites.

A key feature of the current study is the ability to elucidate important functional outcome differences between Hispanic patients with SCI and non-Hispanic white and black patients with SCI.4,5,5355 Hispanics with tetraplegia and paraplegia demonstrated significantly higher self-care and mobility scores at discharge relative to non-Hispanic whites and non-Hispanic blacks. These findings are consistent with the “Hispanic paradox” cited in public health research, which has documented better health outcomes among Hispanics despite being socioeconomically disadvantaged.56,57 Better self-care outcomes at discharge among Hispanic patients with tetraplegia may be related to cultural factors, such as a substantial amount of family involvement and social support during inpatient rehabilitation observed in other SCI studies.43

Consistent with previous studies, our findings show similar mean FIM self-care and mobility scores at 1-year follow-up across racial and ethnic groups.33 Hispanic participants with paraplegia achieved significantly smaller gains in FIM self-care scores at 1-year follow-up in comparison to non-Hispanic whites, which may be due to a “ceiling effect” in their functional gains obtained during inpatient rehabilitation, limited access to assistive devices, lack of transfer of knowledge from inpatient rehabilitation to home environment, and limited access to outpatient therapies or practice of self-care activities.58

The methodological strengths of this study include adjustment for sociodemographic and injury characteristics, using self-care and mobility subscales of the FIM rather than the total FIM score, and stratification of participants with SCI into 3 racial and ethnic groups to compare mean differences and changes in FIM self-care and mobility scores at discharge and 1-year follow-up. Based on the manner in which we operationalized our key outcome variables (ie, change in FIM scores), the best possible comparison study was conducted by Granger et al.59 This study benchmarked functional outcomes using a sample of patients with traumatic SCI from the Uniform Data System Medical Rehabilitation database. The current study’s FIM scores were similar to admission, discharge, and change in FIM scores at discharge reported in Granger’s national sample. The methodological strengths of our study and consistency with prior research give us greater confidence in the accuracy to detect meaningful differences in self-care and mobility outcomes while accounting for the injury complexities across racial and ethnic groups with SCI.

Study limitations

Despite these strengths, the study is limited by the continuity of rehabilitation centers included in the grant cycles of the SCIMS, which could vary the proportion of racial and ethnic groups included in the sample. We attempted to minimize the variability of rehabilitation facilities by focusing on 2 grant cycles that consistently funded 11 SCIMS centers. During 2000 to 2011, trends in health policy and changes in clinical practice could have influenced these results. During this sampling time frame, socioeconomic indicators (eg, health insurance, income) were not assessed in the SCIMS database, making it difficult to ascertain the potential confounding role these socioeconomic factors could contribute to the findings. Although administrative data quality of the SCIMS is highly monitored, admission and discharge FIM scores are gathered by rehabilitation clinical staff, while the follow-up FIM is administered by trained SCIMS interview staff and self-reported by participants, which may also limit the findings. The lack of specificity to the needs of SCI is often demonstrated in the ceiling and floor effects in FIM motor scores.6062 Since the SCIMS is a database of grantees from the National Institute on Disability and Rehabilitation Research that is not a nationally representative sample of the SCI population across the country, nor are the data weighted, the generalizability of results is limited. Further, the study compared racial and ethnic group changes in FIM scores rather than individual change in FIM trajectories (eg, based on each spinal segment), which could limit findings. While we compared patients with SCI within each stratification group at the lowest level of lesion at discharge, we did not account for potential changes in the American Spinal Injury Association Impairment Scale classification at 1-year follow-up, which could impact functional outcomes. Another potential source of bias may be due to demographic and SCI injury differences observed in the missing and excluded cases, which may have included more disadvantaged and functionally impaired persons than the cases retained for analysis.

Conclusions

Overall, the study suggests that differential patterns of self-care and mobility outcomes among patients with motor complete SCI may emerge across racial and ethnic groups at discharge from inpatient rehabilitation. These differences were not evident at 1-year follow-up. Additional research is needed to confirm these results and determine the underlying mechanisms through which these variations in self-care and mobility outcomes occur across racial and ethnic groups and are associated with successful transition, functional independence, and quality of life in SCI.

Acknowledgments

Supported by the National Institute of Child Health and Human Development (grant no. R24 HD065702); National Institute on Disability and Rehabilitation Research (grant no. H133N110020); the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant no. U01AR057929-03S1); and the Kessler Foundation.

We thank Rachel Byrne, MA, and Tiara Brown, BA, for their assistance with references, data collection, and preparation.

List of abbreviations

CI

confidence interval

SCI

spinal cord injury

SCIMS

Spinal Cord Injury Model Systems

Footnotes

a

IBM Corp, 1 New Orchard Rd, Armonk, NY 10504-1722.

Presented in part to the Center for Large Rehabilitation Research Using Large Datasets, October 24–25, 2013, Houston, TX.

Disclosures: none.

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