Reconstruction of Identity After Brain Injury

AbstractFollowing severe traumatic brain injury, difficulty with behavioural adjustment and community reintegration is common. A potential contributor to this difficulty is a sense of personal identity that is inconsistent with the restrictions on activity and need for effortful compensation imposed by persistent impairment. We summarise an information processing framework within which the impact of schematic mental models of self is explained and present intervention procedures designed to help individuals with traumatic brain injury reconstruct an organised and positive sense of personal identity. We conclude the paper with three instructive case illustrations.

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Performance discrepancies on the California Verbal Learning Test–Children's Version (CVLT–C) in children with traumatic brain injury

Journal of the International Neuropsychological Society ◽

10.1017/s1355617704104025 ◽

2004 ◽

Vol 10 (4) ◽

pp. 482-488 ◽

Cited By ~ 27

Author(s):

JACOBUS DONDERS ◽

MICHAEL T. MINNEMA

Keyword(s):

Traumatic Brain Injury ◽

Information Processing ◽

Brain Injury ◽

Verbal Learning ◽

California Verbal Learning Test ◽

Cerebral Lesions ◽

Speed Of Information Processing ◽

Learning Test ◽

Pediatric Tbi ◽

The Impact

One hundred sixty-seven children with traumatic brain injury (TBI), selected from an 8-year series of consecutive referrals to a Midwestern rehabilitation hospital, completed the California Verbal Learning Test–Children's Version (CVLT–C) and the Wechsler Intelligence Scale for Children–Third Edition (WISC–III) within 1 year after injury. A large proactive interference (PI) effect, defined as performance on the second list that was at least 1.5 standard deviations below that on the 1st one, was statistically significantly more common in this clinical sample (21%) than in the CVLT–C standardization sample (11%). Other performance discrepancies, including retroactive interference, rapid forgetting, and retrieval problems, occurred at approximately the same rate in the clinical and standardization samples. Children with anterior cerebral lesions were about 3 times less likely to have a large PI effect than children without such lesions, but the former group performed worse on the first CVLT–C list. The impact of pediatric TBI on a wide range of CVLT–C quantitative variables was mediated by speed of information processing, as assessed by the WISC–III Processing Speed factor index. It is concluded that failure to release from PI is somewhat common, although certainly not universal, in children with TBI. Unlike with adults, anterior cerebral lesions are not associated selectively with an increased risk for PI after pediatric TBI but rather with a reduced efficiency of allocation of cognitive resources. Deficits in speed of information processing appear to be primarily responsible for the learning deficits on the CVLT–C after pediatric TBI. (JINS, 2004, 10, 482–488.)

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The impact of traumatic brain injury on developmental functioning in children: Mild TBI at home and school

PsycEXTRA Dataset ◽

10.1037/e556572013-079 ◽

2012 ◽

Author(s):

Rosalind Case ◽

Nicola Starkey ◽

Suzanne Barker-Collo ◽

Kelly Jones

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Tbi ◽

Developmental Functioning ◽

The Impact ◽

Home And School ◽

At Home

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Faculty Opinions recommendation of Prognostic value of demographic characteristics in traumatic brain injury: results from the IMPACT study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1087001.539961 ◽

2007 ◽

Author(s):

Donald Marion

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Prognostic Value ◽

Demographic Characteristics ◽

Impact Study ◽

The Impact

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Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury

Clinical Chemistry and Laboratory Medicine (CCLM) ◽

10.1515/cclm-2020-1293 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Fleur Lorton ◽

Jeanne Simon-Pimmel ◽

Damien Masson ◽

Elise Launay ◽

Christèle Gras-Le Guen ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

University Hospital ◽

S100b Protein ◽

Research Network ◽

Ct Scans ◽

Intermediate Risk ◽

Protein Assay ◽

The Impact

AbstractObjectivesTo evaluate the impact of implementing a modified Pediatric Emergency Care Applied Research Network (PECARN) rule including the S100B protein assay for managing mild traumatic brain injury (mTBI) in children.MethodsA before-and-after study was conducted in a paediatric emergency department of a French University Hospital from 2013 to 2015. We retrospectively included all consecutive children aged 4 months to 15 years who presented mTBI and were at intermediate risk for clinically important traumatic brain injury (ciTBI). We compared the proportions of CT scans performed and of in-hospital observations before (2013–2014) and after (2014–2015) implementation of a modified PECARN rule including the S100B protein assay.ResultsWe included 1,062 children with mTBI (median age 4.5 years, sex ratio [F/M] 0.73) who were at intermediate risk for ciTBI: 494 (46.5%) during 2013–2014 and 568 (53.5%) during 2014–2015. During 2014–2015, S100B protein was measured in 451 (79.4%) children within 6 h after mTBI. The proportion of CT scans and in-hospital observations significantly decreased between the two periods, from 14.4 to 9.5% (p=0.02) and 73.9–40.5% (p<0.01), respectively. The number of CT scans performed to identify a single ciTBI was reduced by two-thirds, from 18 to 6 CT scans, between 2013–2014 and 2014–2015. All children with ciTBI were identified by the rules.ConclusionsThe implementation of a modified PECARN rule including the S100B protein assay significantly decreased the proportion of CT scans and in-hospital observations for children with mTBI who were at intermediate risk for ciTBI.

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Interrupted time series design to evaluate ICD-9-CM to ICD-10-CM coding changes on trends in Colorado emergency department visits related to traumatic brain injury

Injury Epidemiology ◽

10.1186/s40621-021-00308-y ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Lauren Alexis De Crescenzo ◽

Barbara Alison Gabella ◽

Jewell Johnson

Keyword(s):

Public Health ◽

Traumatic Brain Injury ◽

Emergency Department ◽

Brain Injury ◽

Interrupted Time Series ◽

Emergency Department Visits ◽

Control And Prevention ◽

Icd 10 ◽

Ed Visits ◽

The Impact

Abstract Background The transition in 2015 to the Tenth Revision of the International Classification of Disease, Clinical Modification (ICD-10-CM) in the US led the Centers for Disease Control and Prevention (CDC) to propose a surveillance definition of traumatic brain injury (TBI) utilizing ICD-10-CM codes. The CDC’s proposed surveillance definition excludes “unspecified injury of the head,” previously included in the ICD-9-CM TBI surveillance definition. The study purpose was to evaluate the impact of the TBI surveillance definition change on monthly rates of TBI-related emergency department (ED) visits in Colorado from 2012 to 2017. Results The monthly rate of TBI-related ED visits was 55.6 visits per 100,000 persons in January 2012. This rate in the transition month to ICD-10-CM (October 2015) decreased by 41 visits per 100,000 persons (p-value < 0.0001), compared to September 2015, and remained low through December 2017, due to the exclusion of “unspecified injury of head” (ICD-10-CM code S09.90) in the proposed TBI definition. The average increase in the rate was 0.33 visits per month (p < 0.01) prior to October 2015, and 0.04 visits after. When S09.90 was included in the model, the monthly TBI rate in Colorado remained smooth from ICD-9-CM to ICD-10-CM and the transition was no longer significant (p = 0.97). Conclusion The reduction in the monthly TBI-related ED visit rate resulted from the CDC TBI surveillance definition excluding unspecified head injury, not necessarily the coding transition itself. Public health practitioners should be aware that the definition change could lead to a drastic reduction in the magnitude and trend of TBI-related ED visits, which could affect decisions regarding the allocation of TBI resources. This study highlights a challenge in creating a standardized set of TBI ICD-10-CM codes for public health surveillance that provides comparable yet clinically relevant estimates that span the ICD transition.

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