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Assessing Cognitive Estimation and Its Effects on Community Integration in People with Acquired Brain Injury Undergoing Rehabilitation.

ABSTRACT: The purpose of the present study was to examine the convergent and divergent validity of the Biber Cognitive Estimation Test (BCET) in individuals with ABI undergoing postacute rehabilitation and to assess the measure's ability to account for unique variance in community integration following rehabilitation. Participants with ABI referred for postacute rehabilitation (N = 201) were assessed on the BCET and a number of other neuropsychological tests that have been demonstrated to rely on aspects of executive processing (Trail-Making Test, Modified Six Elements Test, and verbal fluency measures) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Internal consistency of the total BCET was good; however, interpretable solutions for existing subscales were not discerned. The BCET total score demonstrated positive associations with tests of executive functioning; however, it was also significantly associated with more general aspects of neuropsychological functioning suggesting that it does not solely assess executive processes in ABI patients undergoing rehabilitation. Hierarchical multiple regression suggested that the BCET accounted for significant additional variance in community integration after severity of disability, executive functioning, and more general aspects of neuropsychological status were statistically controlled. While the subscale structure of the BCET may be somewhat inconsistent, the total scale score accounts for some unique variance in pragmatic rehabilitation outcome and may be a useful tool in postacute rehabilitation assessment protocols.

SUBMITTER: Fortune DG

PROVIDER: S-EPMC5549505 | biostudies-other | 2017

REPOSITORIES: biostudies-other

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Project description:BackgroundIn 2020 and 2021, people increasingly used the internet to connect socially and professionally. However, people with an acquired brain injury (ABI) experience challenges in using social media, and rehabilitation professionals have reported feeling underprepared to support them in its use. To date, no review of social media skills training to inform ABI rehabilitation has been conducted.ObjectiveThis scoping review aimed to examine research on interventions addressing social media skills and safety, with a focus on people living with health conditions; free web-based resources for the general public on social media skills training; and currently available online support groups for people with ABI.MethodsAn integrative scoping review was conducted, with a systematic search strategy applied in March and November 2020 across OvidSP (MEDLINE, AMED, PsycINFO, and Embase), Scopus, Web of Science, CINAHL, Google Scholar, Google, and Facebook. The data collected were critically appraised and synthesized to describe the key content and features of social media training resources.ResultsThis review identified 47 peer-reviewed academic articles, 48 social media training websites, and 120 online support groups for people with ABI. A key recommendation was interactive training with practical components addressing cybersafety, how to use platforms, and how to connect with others. However, no social media training resources that were relevant and accessible for people with ABI were identified.ConclusionsTraining resources to support people with ABI in safely using social media are limited. The key content to be addressed and the features to be incorporated into web-based social media training were determined, including the need for interactive training that is co-designed and safe and incorporates practical components that support people with ABI. These findings can be used to inform the development of web-based evidence-based support for people with ABI who may be vulnerable when participating in social media.

Project description:PurposeTransition back into the community following acute management of acquired brain injury (ABI) is a critical part of recovery. Post-acute rehabilitation and transitional care can significantly improve outcomes. The Acquired Brain Injury Community REhabilitation and Support Services OuTcomes CohoRT (ABI-RESTaRT) is a novel whole-population cohort formed to better understand the needs of individuals with ABI receiving post-acute rehabilitation and disability services in Western Australia (WA), and to improve their outcomes. To do this a unique combination of (1) internal clinical/rehabilitation data, and (2) externally linked health data from the WA Data Linkage System was used, including hospitalisations, emergency department presentations, mental health service use and death records, to measure longitudinal needs and outcomes of individuals with ABI over 29 years, making this the largest, most diverse post-acute ABI cohort in Australia to date.ParticipantsWhole-population cohort of individuals (n=1011) with an ABI who received post-acute community-based neurorehabilitation or disability support services through Brightwater Care Group from 1991 to 2020.Findings to dateComprehensive baseline demographic, clinical and rehabilitation data, outcome measures and linked health data have been collected and analysed. Non-traumatic brain injury (eg, stroke, hypoxia) was the main diagnostic group (54.9%, n=555), followed by traumatic brain injury (34.9%, n=353) and eligible neurological conditions (10.2%, n=103). Mean age at admission was 45.4 years, and 67.5% were men (n=682). The cohort demonstrated significant heterogeneity, socially and clinically, with differences between ABI groups across a number of domains.Future plansABI-RESTaRT is a dynamic whole-population cohort that will be updated over time as individuals enrol in the service. Future analyses will assess longitudinal brain injury outcomes, the changing health and social needs of individuals with ABI and evaluate and inform post-acute services to best support these individuals.RegistrationThis cohort is not linked to a clinical trial, and is not registered.

Project description:We aimed to (1) apply cluster analysis techniques to mixed-type data (numerical and categorical) from baseline neuropsychological standard and widely used assessments of patients with acquired brain injury (ABI) (2) apply state-of-the-art cluster validity indexes (CVI) to assess their internal validity (3) study their external validity considering relevant aspects of ABI rehabilitation such as functional independence measure (FIM) in activities of daily life assessment (4) characterize the identified profiles by using demographic and clinically relevant variables and (5) extend the external validation of the obtained clusters to all cognitive rehabilitation tasks executed by the participants in a web-based cognitive rehabilitation platform (GNPT). We analyzed 1,107 patients with ABI, 58.1% traumatic brain injury (TBI), 21.8% stroke and 20.1% other ABIs (e.g., brain tumors, anoxia, infections) that have undergone inpatient GNPT cognitive rehabilitation from September 2008 to January 2021. We applied the k-prototypes algorithm from the clustMixType R package. We optimized seven CVIs and applied bootstrap resampling to assess clusters stability (fpc R package). Clusters' post hoc comparisons were performed using the Wilcoxon ranked test, paired t-test or Chi-square test when appropriate. We identified a three-clusters optimal solution, with strong stability (>0.85) and structure (e.g., Silhouette > 0.60, Gamma > 0.83), characterized by distinctive level of performance in all neuropsychological tests, demographics, FIM, response to GNPT tasks and tests normative data (e.g., the 3 min cut-off in Trail Making Test-B). Cluster 1 was characterized by severe cognitive impairment (N = 254, 22.9%) the mean age was 47 years, 68.5% patients with TBI and 22% with stroke. Cluster 2 was characterized by mild cognitive impairment (N = 376, 33.9%) mean age 54 years, 53.5% patients with stroke and 27% other ABI. Cluster 3, moderate cognitive impairment (N = 477, 43.2%) mean age 33 years, 83% patients with TBI and 14% other ABI. Post hoc analysis on cognitive FIM supported a significant higher performance of Cluster 2 vs. Cluster 3 (p < 0.001), Cluster 2 vs. Cluster 1 (p < 0.001) and Cluster 3 vs. Cluster 1 (p < 0.001). All patients executed 286,798 GNPT tasks, with performance significantly higher in Cluster 2 and 3 vs. Cluster 1 (p < 0.001).

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Assessing Cognitive Estimation and Its Effects on Community Integration in People with Acquired Brain Injury Undergoing Rehabilitation.

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