Dataset Information

Race and insurance disparities in discharge to rehabilitation for patients with traumatic brain injury.

ABSTRACT: Post-acute inpatient rehabilitation services are associated with improved functional outcomes among persons with traumatic brain injury (TBI). We sought to investigate racial and insurance-based disparities in access to rehabilitation. Data from the Nationwide Inpatient Sample from 2005-2010 were analyzed using standard descriptive methods and multivariable logistic regression to assess race- and insurance-based differences in access to inpatient rehabilitation after TBI, controlling for patient- and hospital-level variables. Patients with moderate to severe TBI aged 18-64 years with complete data on race and insurance status discharged alive from inpatient care were eligible for study. Among 307,675 TBI survivors meeting study criteria and potentially eligible for discharge to rehabilitation, 66% were white, 12% black, 15% Hispanic, 2% Asian, and 5% other ethnic minorities. Most whites (70%), Asians (70%), blacks (59%), and many Hispanics (49%) had insurance. Compared with insured whites, insured blacks had reduced odds of discharge to rehabilitation (odds ratio [OR] 0.84; 95% confidence interval [CI] 0.75-0.95). Also, insured Hispanics (OR 0.52; 95% CI 0.44-0.60) and insured Asians (OR 0.54; 95% CI 0.39-0.73) were less likely to be discharged to rehabilitation than insured whites. Compared with insured whites, uninsured whites (OR 0.57; 95% CI 0.51-0.63), uninsured blacks (OR 0.33; 95% CI 0.26-0.42), uninsured Hispanics (OR 0.27; 95% CI 0.22-0.33), and uninsured Asians (OR 0.40; 95% CI 0.22-0.73) were less likely to be discharged to rehabilitation. Race and insurance are strong predictors of discharge to rehabilitation among adult TBI survivors in the United States. Efforts are needed to understand and eliminate disparities in access to rehabilitation after TBI.

SUBMITTER: Asemota AO

PROVIDER: S-EPMC3868359 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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Race and insurance disparities in discharge to rehabilitation for patients with traumatic brain injury.

Asemota Anthony O AO George Benjamin P BP Cumpsty-Fowler Carolyn J CJ Haider Adil H AH Schneider Eric B EB

Journal of neurotrauma 20131106 24

Post-acute inpatient rehabilitation services are associated with improved functional outcomes among persons with traumatic brain injury (TBI). We sought to investigate racial and insurance-based disparities in access to rehabilitation. Data from the Nationwide Inpatient Sample from 2005-2010 were analyzed using standard descriptive methods and multivariable logistic regression to assess race- and insurance-based differences in access to inpatient rehabilitation after TBI, controlling for patient ...[more]

PMID: 23972035

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Project description:ObjectiveTo identify admission characteristics that predict a successful community discharge from an inpatient rehabilitation facility (IRF) among older adults with traumatic brain injury (TBI).DesignIn a retrospective cohort study, we leveraged probabilistically linked Medicare Administrative, IRF-Patient Assessment Instrument, and National Trauma Data Bank data to build a parsimonious logistic model to identify characteristics associated with successful discharge. Multiple imputation methods were used to estimate effects across linked datasets to account for potential data linkage errors.SettingInpatient Rehabilitation Facilities in the U.S.ParticipantsThe sample included a mean of 1060 community-dwelling adults aged 66 years and older across 30 linked datasets (N=1060). All were hospitalized after TBI between 2011 and 2015 and then admitted to an IRF. The mean age of the sample was 79.7 years, and 44.3% of the sample was women.InterventionsNot applicable.Main outcome measuresSuccessful discharge home.ResultsOverall, 64.6% of the sample was successfully discharged home. A logistic model including 4 predictor variables: Functional Independence Measure motor (FIM-M) and cognitive (FIM-C) scores, pre-injury chronic conditions, and pre-injury living arrangement, that were significantly associated with successful discharge, resulted in acceptable discrimination (area under the curve: 0.76, 95% confidence interval [CI]: 0.72-0.81). Higher scores on the FIM-M (odds ratio [OR]:1.07, 95% CI: 1.05-1.09) and FIM-C (OR: 1.05, 95% CI: 1.02-1.08) were associated with greater odds of successful discharge, whereas living alone vs with others (OR: 0.46, 95% CI: 0.30-0.71) and a greater number of chronic conditions (OR: 0.94, 95% CI: 0.90-0.99) were associated with lower odds of successful discharge.ConclusionsThe results provide a parsimonious model for predicting successful discharge among older adults admitted to an IRF after a TBI-related hospitalization and provide clinically useful information to inform discharge planning.

Project description:ObjectiveTo identify insurance-based disparities in access to outpatient pediatric neurorehabilitation services.DesignAudit study with paired calls, where callers posed as a mother seeking services for a simulated child with history of severe traumatic brain injury and public or private insurance.SettingOutpatient rehabilitation clinics.ParticipantsSample of rehabilitation clinics (N=287): 195 physical therapy (PT) clinics, 109 occupational therapy (OT) clinics, 102 speech therapy (ST) clinics, and 11 rehabilitation medicine clinics.InterventionsNot applicable.Main outcome measuresAcceptance of public insurance and the number of business days until the next available appointment.ResultsTherapy clinics were more likely to accept private insurance than public insurance (relative risk [RR] for PT clinics, 1.33; 95% confidence interval [CI], 1.22-1.44; RR for OT clinics, 1.40; 95% CI, 1.24-1.57; and RR for ST clinics, 1.42; 95% CI, 1.25-1.62), with no significant difference for rehabilitation medicine clinics (RR, 1.10; 95% CI, 0.90-1.34). The difference in median wait time between clinics that accepted public insurance and those accepting only private insurance was 4 business days for PT clinics and 15 days for ST clinics (P≤.001), but the median wait time was not significantly different for OT clinics or rehabilitation medicine clinics. When adjusting for urban and multidisciplinary clinic statuses, the wait time at clinics accepting public insurance was 59% longer for PT (95% CI, 39%-81%), 18% longer for OT (95% CI, 7%-30%), and 107% longer for ST (95% CI, 87%-130%) than that at clinics accepting only private insurance. Distance to clinics varied by discipline and area within the state.ConclusionsTherapy clinics were less likely to accept public insurance than private insurance. Therapy clinics accepting public insurance had longer wait times than did clinics that accepted only private insurance. Rehabilitation professionals should attempt to implement policy and practice changes to promote equitable access to care.

Project description:BackgroundTraumatic brain injury (TBI) is a leading cause of disability worldwide. TBI is a highly heterogeneous disease, which makes it complex for effective therapeutic interventions. Cluster analysis has been extensively applied in previous research studies to identify homogeneous subgroups based on performance in neuropsychological baseline tests. Nevertheless, most analyzed samples are rarely larger than a size of 100, and different cluster analysis approaches and cluster validity indices have been scarcely compared or applied in web-based rehabilitation treatments.ObjectiveThe aims of our study were as follows: (1) to apply state-of-the-art cluster validity indices to different cluster strategies: hierarchical, partitional, and model-based, (2) to apply combined strategies of dimensionality reduction by using principal component analysis and random forests and perform stability assessment of the final profiles, (3) to characterize the identified profiles by using demographic and clinically relevant variables, and (4) to study the external validity of the obtained clusters by considering 3 relevant aspects of TBI rehabilitation: Glasgow Coma Scale, functional independence measure, and execution of web-based cognitive tasks.MethodsThis study was performed from August 2008 to July 2019. Different cluster strategies were executed with Mclust, factoextra, and cluster R packages. For combined strategies, we used the FactoMineR and random forest R packages. Stability analysis was performed with the fpc R package. Between-group comparisons for external validation were performed using 2-tailed t test, chi-square test, or Mann-Whitney U test, as appropriate.ResultsWe analyzed 574 adult patients with TBI (mostly severe) who were undergoing web-based rehabilitation. We identified and characterized 3 clusters with strong internal validation: (1) moderate attentional impairment and moderate dysexecutive syndrome with mild memory impairment and normal spatiotemporal perception, with almost 66% (111/170) of the patients being highly educated (P<.05); (2) severe dysexecutive syndrome with severe attentional and memory impairments and normal spatiotemporal perception, with 49.2% (153/311) of the patients being highly educated (P<.05); (3) very severe cognitive impairment, with 45.2% (42/93) of the patients being highly educated (P<.05). We externally validated them with severity of injury (P=.006) and functional independence assessments: cognitive (P<.001), motor (P<.001), and total (P<.001). We mapped 151,763 web-based cognitive rehabilitation tasks during the whole period to the 3 obtained clusters (P<.001) and confirmed the identified patterns. Stability analysis indicated that clusters 1 and 2 were respectively rated as 0.60 and 0.75; therefore, they were measuring a pattern and cluster 3 was rated as highly stable.ConclusionsCluster analysis in web-based cognitive rehabilitation treatments enables the identification and characterization of strong response patterns to neuropsychological tests, external validation of the obtained clusters, tailoring of cognitive web-based tasks executed in the web platform to the identified profiles, thereby providing clinicians a tool for treatment personalization, and the extension of a similar approach to other medical conditions.

Project description:ObjectiveTo describe psychotropic medication administration patterns during inpatient rehabilitation for traumatic brain injury (TBI) and their relation to patient preinjury and injury characteristics.DesignProspective observational cohort.SettingMultiple acute inpatient rehabilitation units or hospitals.ParticipantsIndividuals with TBI (N=2130; complicated mild, moderate, or severe) admitted for inpatient rehabilitation.InterventionsNot applicable.Main outcome measuresNot applicable.ResultsMost frequently administered were narcotic analgesics (72% of sample), followed by antidepressants (67%), anticonvulsants (47%), anxiolytics (33%), hypnotics (30%), stimulants (28%), antipsychotics (25%), antiparkinson agents (25%), and miscellaneous psychotropics (18%). The psychotropic agents studied were administered to 95% of the sample, with 8.5% receiving only 1 and 31.8% receiving ≥6. Degree of psychotropic medication administration varied widely between sites. Univariate analyses indicated younger patients were more likely to receive anxiolytics, antidepressants, antiparkinson agents, stimulants, antipsychotics, and narcotic analgesics, whereas those older were more likely to receive anticonvulsants and miscellaneous psychotropics. Men were more likely to receive antipsychotics. All medication classes were less likely administered to Asians and more likely administered to those with more severe functional impairment. Use of anticonvulsants was associated with having seizures at some point during acute care or rehabilitation stays. Narcotic analgesics were more likely for those with history of drug abuse, history of anxiety and depression (premorbid or during acute care), and severe pain during rehabilitation. Psychotropic medication administration increased rather than decreased during the course of inpatient rehabilitation in each of the medication categories except for narcotics. This observation was also true for medication administration within admission functional levels (defined by cognitive FIM scores), except for those with higher admission FIM cognitive scores.ConclusionsMany psychotropic medications are used during inpatient rehabilitation. In general, lower admission FIM cognitive score groups were administered more of the medications under investigation compared with those with higher cognitive function at admission. Considerable site variation existed regarding medications administered. The current investigation provides baseline data for future studies of effectiveness.

Dataset Information

Race and insurance disparities in discharge to rehabilitation for patients with traumatic brain injury.

Publications

Race and insurance disparities in discharge to rehabilitation for patients with traumatic brain injury.

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