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OBJECTIVES: (1) Reexamine the item structure and reliability of the Mayo-Portland Adaptability Inventory (4th ed; MPAI-4) through Rasch analysis of admission and discharge scores for a large sample of adults with acquired brain injury (ABI) who participated in various types of posthospital brain injury rehabilitation (PHBIR) programs; (2) compare differential item functioning (DIF) for traumatic brain injury (TBI), stroke and other ABI; and (3) explore the viability of more specific subscales in addition to the established indices. SETTING: Data from Residential Neurobehavioral, Residential Neurorehabilitation, Home and Community, Day Treatment, and Outpatient rehabilitation programs serving individuals with ABI. PARTICIPANTS: A total of 2154 individuals with TBI, stroke, or other ABI. DESIGN: Retrospective analysis of de-identified admission and discharge data from the Foundation to Advance Brain Rehabilitation (FABR) consortium database. MAIN MEASURE: MPAI-4. RESULTS: After adjusting 4 misfitting items and eliminating 20 misfitting persons, the MPAI-4 demonstrated real person reliability/separation = 0.93/3.52 and real item reliability/separation = 1.00/24.02. Independent Rasch analyses by diagnostic category found similar reliabilities and separations. Residual item correlations and principal component analysis of residuals (PCAR) indicated areas of local dependence arranged hierarchically reflecting the full-scale item hierarchy and providing the basis for 3 new subscales of Physical Abilities, Cognitive Abilities, and Autonomy. DIF across diagnostic categories revealed differences in item elevations characteristic of typical patients in each category. Measure means and SDs were very similar across categories. CONCLUSIONS: MPAI-4 items demonstrate very good person and item reliabilities for individuals with TBI, stroke, and other ABI at a level that supports individual evaluation. Variations in item calibrations across diagnostic categories reflect the differential characteristics of typical patients within categories. The entire measure provides an overall assessment of common sequalae of ABI, and standard indices used in combination with newly derived subscales provide more specific assessments of rehabilitation needs for treatment planning.
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OBJECTIVE: Evaluate outcomes of intensive posthospital brain injury rehabilitation programs compared to supported living (SL) programs; explore variations in outcome by diagnostic category (traumatic brain injury, stroke, and other acquired brain injury [ABI]) and specific program type. SETTING: Data were obtained from Residential Neurobehavioral, Residential Neurorehabilitation, Home and Community Neurorehabilitation, Day Treatment, Outpatient Neurorehabilitation, and SL programs serving individuals with ABI. PARTICIPANTS: A total of 2120 individuals with traumatic brain injury, stroke, or other ABI participated in this study. MAIN MEASURES: The main measures are sex, age, time since injury, and Mayo-Portland Adaptability Inventory (4th edition; MPAI-4). DESIGN: Retrospective analyses of demographic variables and MPAI-4 Total, index, and subscale Rasch-derived T-scores on admission and discharge. RESULTS: Gains on MPAI-4 Total T-scores were significantly greater for the intensive rehabilitation (IR) group in comparison to stable functioning in the SL group (F = 236.69, P < .001, partial η2 = .101) while controlling for admission/time 1 scores; similar results were found for MPAI-4 indices and subscales. For the IR cohort, discharge scores differed by diagnostic category after controlling for admission scores for the Total MPAI-4 T-score (F = 22.65, P < .001, partial η2 = .025), as well as all indices and subscales. A statistically significant interaction between program type and diagnostic group on discharge MPAI-4 Total T-scores (F = 2.55, P = .018, partial η2 = .01) after controlling for admission scores indicated that differing outcomes across diagnoses also varied by program type. Varying significant main effects and interactions were apparent for MPAI-4 indices and subscales with generally small effect sizes. CONCLUSIONS: Significant gains on MPAI-4 variables across IR program types compared to no change over a comparable period of time for SL programs supports the effectiveness of posthospital brain injury rehabilitation. This finding in the presence of small effect sizes on outcome variables for program type and for significant interactions between program type and diagnostic category suggests that participants generally were appropriately matched to program type and benefited from interventions provided through specific program types.
RESUMEN
OBJECTIVE: Describe and compare the demographic characteristics and disability profiles of individuals admitted to 6 types of posthospital brain injury rehabilitation (PHBIR) programs. SETTING: Data from Residential Neurobehavioral, Residential Neurorehabilitation, Home and Community Neurorehabilitation, Day Treatment, Outpatient Neurorehabilitation, and Supported Living programs serving individuals with acquired brain injury (ABI). PARTICIPANTS: Two thousand twenty-eight individuals with traumatic brain injury (TBI), stroke, or other ABI. MAIN MEASURES: Sex, age, time since injury, and Mayo-Portland Adaptability Inventory, 4th edition (MPAI-4). DESIGN: Retrospective analyses of demographic variables and MPAI-4 Total, Index, and subscale Rasch-derived T-scores on admission comparing diagnostic categories and program types within diagnostic categories. RESULTS: Participants with TBI were predominantly male, and those with stroke were generally older. Admissions to more intensive and supervised programs (residential neurobehavioral and residential neurorehabilitation) generally showed greater disability than admissions to home and community programs who were more disabled than participants in day treatment and outpatient programs. Residential neurobehavioral and supported living program participants generally were male and had TBI. Home and community admissions tended to be more delayed than residential neurorehabilitation admissions. The majority of those with other ABI were admitted to outpatient rather than more intensive programs. Additional analyses demonstrated significant differences in MPAI-4 profiles among the various program types. CONCLUSIONS: Admissions with TBI, stroke, and other ABI to PHBIR differ in demographic factors and disability profiles. When examined within each diagnostic category, demographic features and disability profiles also distinguish among admissions to the various program types. Results provide insights about decision-making in referral patterns to various types of PHBIR programs, although other factors not available for analysis (eg, participant/family preference, program, and funding availability) likely also contribute to admission patterns.
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OBJECTIVE: To investigate the role of participant level of effort (LoE) on outcome in post-acute brain injury rehabilitation with the hypothesis that greater effort is associated with more positive outcomes. DESIGN: Observational cohort study. SETTING: Comprehensive integrated rehabilitation program for brain injury within a skilled nursing facility. PARTICIPANTS: Consecutive admissions with acquired brain injury (N=101). INTERVENTIONS: Individualized interdisciplinary brain injury rehabilitation; therapist rating of participant LoE with Acquired Brain Injury LoE Scale (ABI-LoES) during physical therapy, occupational therapy, and speech and language pathology sessions. MAIN OUTCOME MEASURES: Mayo-Portland Adaptability Inventory, fourth edition (MPAI-4); Supervision Rating Scale (SRS). RESULTS: Linear regression showed that discharge MPAI-4 Total T scores were significantly associated with mean ABI-LoES rating, admission MPAI-4 Total T scores, age at admission, and days from injury but not with standard deviation of ABI-LoES rating, sex, injury type, length of stay, or treatment before or during the COVID-19 pandemic. Discharge SRS scores were significantly associated with mean ABI-LoES rating, admission SRS scores, and age. A 1-unit increase in mean ABI-LoES rating was associated with 5.1-unit lower discharge MPAI-4 Total T scores and 1.5 lower discharge SRS scores, after controlling for other variables. Logistic regression showed that the odds of achieving a minimal clinically important difference on the MPAI-4 were 8.34 times higher with each 1-unit increase in mean ABI-LoES rating after controlling for other variables. Admission MPAI-4 was negatively associated with mean ABI-LoES rating (ß=-0.07, t=-8.85, P<.0001). CONCLUSIONS: After controlling for nonmodifiable variables, average ABI-LoES rating is positively associated with outcome. Initial level of disability is negatively associated with mean ABI-LoES rating.