18 research outputs found

    Reliability of Bell’s Test Conducted with Virtual Reality

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    Cancellation tasks are commonly used assessment tools to detect unilateral neglect. Bell’s Test, one of the most commonly administered cancellation tasks, requires individuals to quickly and accurately identify “bells” randomly placed in an array of symbols. The reliability of Bells Test conducted with a paper and pencil is well established. A newly developed, commercial software application, allows Bell’s Test to be administered in fully immersive virtual reality environment. PURPOSE: The purpose of this study was to measure the reliability of the Bell’s Test using a virtual reality (VR) system and to establish the level of agreement between the pen-paper and VR administration. METHODS: Fourteen apparently healthy individuals between the age of 24 – 73y volunteered (47.9±20.7y; 166.0±5.2cm; 77.5±16.3kg). Subjects were excluded if they had a history of concussion or had perceptual or visual deficits. Participants completed Bell’s Test a total of four times. The first time, it was completed with a pen-paper (PP). Then, participants completed an initial assessment in VR (VRbase); the same test was administered again in VR one-hour (PostVR1hr) and one-week (PostVR1wk) post baseline. Realization time, total time, and the number of errors committed in the right and left field of view were recorded. Cronbach’s alpha was computed on realization and total time in all VR conditions. Additionally, an ANOVA with repeated measures was used to determine differences in PP, VRbase, PostVR1HR, and PostVR1Wk. The Holms-Sidak method was used to identify pairwise differences. Alpha was set at pa priori. RESULTS: Reliability for realization time for the Bell’s test conducted in VR was acceptable (α=0.79). There was, however, a significant difference between trials (F=6.65; p=0.013). VRbase (29.25±8.11s) was significantly different than PostVR1HR (15.52±4.30; p=0.006). and VRpost1wk (21.24±5.89s; p=0.01). Additionally, PP realization time (15.31±4.25s) was significantly different than PostVR1HR (p=0.02) and PostVR1WK (p=0.03). Reliability for total time for the Bell’s test conducted in VR was good. (α=0.82). There was not a significant difference between the trials (F=4.34; p=0.06) for VRbase(24.1±6.7s), PostVR1HR (45.44±12.6) or VRpost1wk(p=0.06). However, there was a significant difference found in PPtotal time taken and VR1wk with the (p=0.03). The average number of left side omitted bells was 0.50±0.65; 0.07±0.26; 0.07±0.26; 0.14±0.36 for PP, VRbase, Post VR1HR, and PostVR1WK; respectively. The number of bells omitted on the right side was 0.50±0.85, 0.21±0.57, 0.14±0.36, for 0.14±0.36 for PP, VRbase, PostVR1HR, and PostVR1WK; respectively. CONCLUSION: These data indicate that the reliability of the Bell’s Test for the realization time is acceptable, and the total time reliability was good in the virtual reality system. Healthy individuals performing the Bell’s Test in VR show slight improvements one hour after baseline, but there was no difference after one week. More data are needed within different age groups to determine reliability in young and older individuals. Additionally, future studies are required to determine the reliability of Bell’s Test in VR for individuals suffering from neurological injuries or diseases

    Bifactor Model of the Sport Concussion Assessment Tool Symptom Checklist: Replication and Invariance Across Time in the CARE Consortium Sample

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    Background: Identifying separate dimensions of concussion symptoms may inform a precision medicine approach to treatment. It was previously reported that a bifactor model identified distinct acute postconcussion symptom dimensions. Purpose: To replicate previous findings of a bifactor structure of concussion symptoms in the Concussion Assessment Research and Education (CARE) Consortium sample, examine measurement invariance from pre- to postinjury, and evaluate whether factors are associated with other clinical and biomarker measures. Study design: Cohort study (Diagnosis); Level of evidence, 2. Methods: Collegiate athletes were prospectively evaluated using the Sport Concussion Assessment Tool-3 (SCAT-3) during preseason (N = 31,557); 2789 were followed at <6 hours and 24 to 48 hours after concussion. Item-level SCAT-3 ratings were analyzed using exploratory and confirmatory factor analyses. Bifactor and higher-order models were compared for their fit and interpretability. Measurement invariance tested the stability of the identified factor structure across time. The association between factors and criterion measures (clinical and blood-based markers of concussion severity, symptom duration) was evaluated. Results: The optimal structure for each time point was a 7-factor bifactor model: a General factor, on which all items loaded, and 6 specific factors-Vestibulo-ocular, Headache, Sensory, Fatigue, Cognitive, and Emotional. The model manifested strict invariance across the 2 postinjury time points but only configural invariance from baseline to postinjury. From <6 to 24-48 hours, some dimensions increased in severity (Sensory, Fatigue, Emotional), while others decreased (General, Headache, Vestibulo-ocular). The factors correlated with differing clinical and biomarker criterion measures and showed differing patterns of association with symptom duration at different time points. Conclusion: Bifactor modeling supported the predominant unidimensionality of concussion symptoms while revealing multidimensional properties, including a large dominant General factor and 6 independent factors: Headache, Vestibulo-ocular, Sensory, Cognitive, Fatigue, and Emotional. Unlike the widely used SCAT-3 symptom severity score, which declines gradually after injury, the bifactor model revealed separable symptom dimensions that have distinct trajectories in the acute postinjury period and different patterns of association with other markers of injury severity and outcome. Clinical relevance: The SCAT-3 total score remains a valuable, robust index of overall concussion symptom severity, and the specific factors identified may inform management strategies. Because some symptom dimensions continue to worsen in the first 24 to 48 hours after injury (ie, Sensory, Fatigue, Emotional), routine follow-up in this time frame may be valuable to ensure that symptoms are managed effectively

    Creating Your Own Space: How to make Centers and Institutes a reality

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    This presentation includes background, foundational, and structural aspects of creating professional environments for service and research in professional settings. Many times, the infrastructure of a university, clinic, or hospital setting is a rich environment to cultivate interdisciplinary specialty spaces. How to effectively develop an idea and present it to leadership is the cornerstone of creating your own space with appropriate financial support

    Clinical Reaction-Time Performance Factors in Healthy Collegiate Athletes

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    Context: In the absence of baseline testing, normative data may be used to interpret postconcussion scores on the clinical reaction-time test (RTclin). However, to provide normative data, we must understand the performance factors associated with baseline testing. Objective: To explore performance factors associated with baseline RTclin from among candidate variables representing demographics, medical and concussion history, self-reported symptoms, sleep, and sport-related features. Design: Cross-sectional study. Setting: Clinical setting (eg, athletic training room). Patients or other participants: A total of 2584 National Collegiate Athletic Association student-athletes (n = 1206 females [47%], 1377 males [53%], and 1 unreported (<0.1%); mass = 76.7 ± 18.7 kg; height = 176.7 ± 11.3 cm; age = 19.0 ± 1.3 years) from 3 institutions participated in this study as part of the Concussion Assessment, Research and Education Consortium. Main outcome measure(s): Potential performance factors were sex; race; ethnicity; dominant hand; sport type; number of prior concussions; presence of anxiety, learning disability, attention-deficit disorder or attention-deficit/hyperactivity disorder, depression, or migraine headache; self-reported sleep the night before the test; mass; height; age; total number of symptoms; and total symptom burden at baseline. The primary study outcome measure was mean baseline RTclin. Results: The overall RTclin was 202.0 ± 25.0 milliseconds. Female sex (parameter estimate [B] = 8.6 milliseconds, P < .001, Cohen d = 0.54 relative to male sex), black or African American race (B = 5.3 milliseconds, P = .001, Cohen d = 0.08 relative to white race), and limited-contact (B = 4.2 milliseconds, P < .001, Cohen d = 0.30 relative to contact) or noncontact (B = 5.9 milliseconds, P < .001, Cohen d = 0.38 relative to contact) sport participation were associated with slower RTclin. Being taller was associated with a faster RTclin, although this association was weak (B = -0.7 milliseconds, P < .001). No other predictors were significant. When adjustments are made for sex and sport type, the following normative data may be considered (mean ± standard deviation): female, noncontact (211.5 ± 25.8 milliseconds), limited contact (212.1 ± 24.3 milliseconds), contact (203.7 ± 21.5 milliseconds); male, noncontact (199.4 ± 26.7 milliseconds), limited contact (196.3 ± 23.9 milliseconds), contact (195.0 ± 23.8 milliseconds). Conclusions: Potentially clinically relevant differences existed in RTclin for sex and sport type. These results provide normative data adjusting for these performance factors

    Uncovering Frustrations: A Qualitative Needs Assessment of Academic General Internists as Geriatric Care Providers and Teachers

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    BACKGROUND: General internists commonly provide medical care for older adults and geriatric education to trainees, but lack the necessary knowledge and skills to fulfill these tasks. OBJECTIVE: Assess the geriatric training needs of academic general internists in 3 hospital systems in Portland, OR. DESIGN: Ten focus groups and 1 semi-structured interview. Interview transcripts were analyzed using thematic analysis, a well-recognized qualitative technique. PARTICIPANTS: A convenience sample of 22 academic general internists and 8 geriatricians from 3 different teaching hospitals. MEASUREMENTS: We elicited stories of frustration and success in caring for elderly patients and in teaching about their care. We asked geriatricians to recount their experiences as consultants to general internists and to comment on the training of Internists in geriatrics. RESULTS: In addition to deficits in their medical knowledge and skills, our Internists reported frustration with the process of delivering care to older adults. In particular, they felt ill prepared to guide care transitions for patients, use multidisciplinary teams effectively, and were frustrated with health care system issues. Additionally, general internists' approach to medical care, which largely relies on the medical model, is different from that of geriatricians, which focuses more on social and functional issues. CONCLUSIONS: Although our findings may not be broadly representative, improving our general internists' abilities to care for the elderly and to teach learners how to do the same should address deficits in medical knowledge and skills, barriers to the processes of delivering care, and philosophical approaches to care. Prioritizing and quantifying these needs and measuring the effectiveness of curricula to address them are areas for future research

    Age at First Concussion Influences the Number of Subsequent Concussions

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    Individuals who sustain their first concussion during childhood may be at greater risk of sustaining multiple concussions throughout their lifetime because of a longer window of vulnerability. This article aims to estimate the association between age at first concussion and number of subsequent concussions. A total of 23,582 collegiate athletes from 26 universities and military cadets from three military academies completed a concussion history questionnaire (65% males, age 19.9 ± 1.4 years). Participants self-reported concussions and age at time of each injury. Participants with a history of concussion (n = 3,647, 15.5%) were categorized as having sustained their first concussion during childhood (less than ten years old) or adolescence (≥10 and ≤18 years old). Poisson regression was used to model age group (childhood, adolescence) predicting the number of subsequent concussions (0, 1, 2+). A second Poisson regression was developed to determine whether age at first concussion predicted the number of subsequent concussions. Participants self-reporting their first concussion during childhood had an increased risk of subsequent concussions (rate ratio = 2.19, 95% confidence interval: 1.82, 2.64) compared with participants self-reporting their first concussion during adolescence. For every one-year increase in age at first concussion, we observed a 16% reduction in the risk of subsequent concussion (rate ratio = 0.84, 95% confidence interval: 0.82, 0.86). Individuals self-reporting a concussion at a young age sustained a higher number of concussions before age 18. Concussion prevention, recognition, and reporting strategies are of particular need at the youth level

    Estimated age of first exposure to American football and outcome from concussion

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    To examine the association between estimated age at first exposure (eAFE) to American football and clinical measures throughout recovery following concussion. Participants were recruited across 30 colleges and universities as part of the National Collegiate Athletic Association (NCAA)-Department of Defense Concussion Assessment, Research and Education Consortium. There were 294 NCAA American football players (age 19 ± 1 years) evaluated 24-48 hours following concussion with valid baseline data and 327 (age 19 ± 1 years) evaluated at the time they were asymptomatic with valid baseline data. Participants sustained a medically diagnosed concussion between baseline testing and postconcussion assessments. Outcome measures included the number of days until asymptomatic, Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) composite scores, Balance Error Scoring System (BESS) total score, and Brief Symptom Inventory 18 (BSI-18) subscores. The eAFE was defined as participant's age at the time of assessment minus self-reported number of years playing football. In unadjusted regression models, younger eAFE was associated with lower (worse) ImPACT Visual Motor Speed ( = 0.031, = 0.012) at 24-48 hours following injury and lower (better) BSI-18 Somatization subscores ( = 0.014, = 0.038) when the athletes were asymptomatic. The effect sizes were very small. The eAFE was not associated with the number of days until asymptomatic, other ImPACT composite scores, BESS total score, or other BSI-18 subscores. Earlier eAFE to American football was not associated with longer symptom recovery, worse balance, worse cognitive performance, or greater psychological distress following concussion. In these NCAA football players, longer duration of exposure to football during childhood and adolescence appears to be unrelated to clinical recovery following concussion
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