38 research outputs found

    Quality of life after traumatic brain injury: Finnish experience of the QOLIBRI in residential rehabilitation

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    Objective: To evaluate health-related quality of life of traumatic brain injury patients who have received intensive multidisciplinary residential rehabilitation. To examine the psychometric characteristics of the Finnish Quality of Life after Brain Injury (QOLIBRI) questionnaire. Subjects: A total of 157 adults with TBI, up to 15 years post-injury, who had been treated in the Käpylä Rehabilitation Centre, Helsinki, Finland. Methods: Functional status was assessed using the Extended Glasgow Outcome Scale. Emotional state was evaluated using the Hospital Anxiety and Depression Scale. Health-related quality of life was measured using a generic measure (Short Form-36) and the QOLIBRI. Results: Quality of life was related to depression, amount of help needed, anxiety, education level and age at injury. Quality of life was not associated with time since injury, but a paradoxical relationship was found with injury severity. Internal consistency (alpha = 0.79-0.95) and test-retest reliability (rtt = 0.75-0.87) of the Finnish QOLIBRI met standard psychometric criteria. Conclusion: Quality of life remained relatively stable in the long term. Milder injuries were associated with lower life satisfaction, and careful follow-up is recommended to target patients in special need. This study confirms the reliability and validity of the Finnish QOLIBRI

    Interpreting Quality of Life after Brain Injury (QOLIBRI) scores: Cross-walk with the Short Form-36

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    The Quality of Life after Brain Injury (QOLIBRI) instruments are traumatic brain injury-specific assessments of health-related quality of life (HRQoL), with established validity and reliability. The purpose of the study is to help improve the interpretability of the two QOLIBRI summary scores (the QOLIBRI Total score and the QOLBRI Overall Scale score). An analysis was conducted of 761 patients with traumatic brain injury (TBI) that took part in the QOLIBRI validation studies. A cross-walk between QOLIBRI scores and the SF-36 Mental Component Summary norm-based scoring system was performed using geometric mean regression analysis. The exercise supports a previous suggestion that QOLIBRI Total scores < 60 indicate low or impaired HRQoL, and indicate that the corresponding score on the QOLIBRI-OS is <52. The percentage of cases in the sample that fell into the ‘impaired HRQoL’ category were 36% for the Mental Component Summary, 38% for the QOLIBRI Total, and 39% for the QOLIBRI-OS. Relationships between the QOLIBRI scales and the Glasgow Outcome Scale – Extended (GOSE), as a measure of global function, are presented in the form of means and standard deviations that allow comparison with other studies, and data on age and gender are presented for the QOLIBRI-OS. While bearing in mind the potential imprecision of the comparison, the findings provide a framework for evaluating QOLIBRI summary scores in relation to generic HRQoL that improves their interpretability

    Influence of Sociodemographic, Premorbid, and Injury-Related Factors on Post-Concussion Symptoms after Traumatic Brain Injury

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    Background: Post-concussion symptoms (PCS) are often reported as consequences of mild and moderate traumatic brain injury (TBI), but these symptoms are not well documented in severe TBI. There is a lack of agreement as to which factors and covariates affect the occurrence, frequency, and intensity of PCS among TBI severity groups. The present study therefore aims to examine the association between sociodemographic, premorbid, and injury-related factors and PCS. Methods: A total of 1391 individuals (65% male) from the CENTER-TBI study were included in the analyses. The occurrence, frequency (number of PCS), and intensity (severity) of PCS were assessed using the Rivermead Post-concussion Symptoms Questionnaire (RPQ) at six months after TBI. To examine the association between selected factors (age, sex, living situation, employment status, educational background, injury and TBI severity, and premorbid problems) and PCS, a zero-inflated negative binomial model (ZINB) for occurrence and frequency of PCS and a standard negative binomial regression (NB) for intensity were applied. Results: Of the total sample, 72% of individuals after TBI reported suffering from some form of PCS, with fatigue being the most frequent among all TBI severity groups, followed by forgetfulness, and poor concentration. Different factors contributed to the probability of occurrence, frequency, and intensity of PCS. While the occurrence of PCS seemed to be independent of the age and sex of the individuals, both the frequency and intensity of PCS are associated with them. Both injury and TBI severity influence the occurrence and frequency of PCS, but are associated less with its intensity (except "acute" symptoms such as nausea, vomiting, and headaches). Analyses focusing on the mTBI subgroup only yielded results comparable to those of the total sample. Discussion: In line with previous studies, the results support a multifactorial etiology of PCS and show the importance of differentiating between their occurrence, frequency, and intensity to better provide appropriate treatment for individual subgroups with different symptoms (e.g., multiple PCS or more intense PCS). Although PCS often occur in mild to moderate TBI, individuals after severe TBI also suffer from PCS or post-concussion-like symptoms that require appropriate treatment. The chosen statistical approaches (i.e., ZINB and NB models) permit an ameliorated differentiation between outcomes (occurrence, frequency, and intensity of PCS) and should be used more widely in TBI research

    Prediction of global functional outcome and post-concussive symptoms after mild Traumatic Brain Injury: external validation of prognostic models in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study

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    The majority of traumatic brain injuries (TBIs) are categorized as mild, according to a baseline Glasgow Coma Scale (GCS) score of 13-15. Prognostic models that were developed to predict functional outcome and persistent post-concussive symptoms (PPCS) after mild TBI have rarely been externally validated. We aimed to externally validate models predicting 3-12-month Glasgow Outcome Scale Extended (GOSE) or PPCS in adults with mild TBI. We analyzed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) project, which included 2862 adults with mild TBI, with 6-month GOSE available for 2374 and Rivermead Post-Concussion Symptoms Questionnaire (RPQ) results available for 1605 participants. Model performance was evaluated based on calibration (graphically and characterized by slope and intercept) and discrimination (C-index). We validated five published models for 6-month GOSE and three for 6-month PPCS scores. The models used different cutoffs for outcome and some included symptoms measured 2 weeks post-injury. Discriminative ability varied substantially (C-index between 0.58 and 0.79). The models developed in the Corticosteroid Randomisation After Significant Head Injury (CRASH) trial for prediction of GOSE <5 discriminated best (C-index 0.78 and 0.79), but were poorly calibrated. The best performing models for PPCS included 2-week symptoms (C-index 0.75 and 0.76). In conclusion, none of the prognostic models for early prediction of GOSE and PPCS has both good calibration and discrimination in persons with mild TBI. In future studies, prognostic models should be tailored to the population with mild TBI, predicting relevant end-points based on readily available predictors.Analysis and support of clinical decision makingDevelopment and application of statistical models for medical scientific researc

    Psychosocial factors and health as determinants of quality of life in community-dwelling older adults.

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    PURPOSE: It is important to understand the determinants of differences in quality of life in old age and to include a wide range of possible predictors. The present study investigated the determinants of quality of life in two groups of older adults for whom there was an unusually informative set of possible predictor variables. METHOD: Participants were members of the Lothian Birth Cohorts of 1921 (n = 550) or 1936 (n = 1,091). Four facets of quality of life (QoL) and general QoL were measured using the WHOQOL-BREF. Possible determinants included personality traits, measured with the International Personality Item Pool (IPIP) scales; childhood and old age general cognitive ability, measured with the Moray House Test; minor psychological symptoms, measured with the Hospital Anxiety and Depression Scale (HADS); physical health, assessed by grip strength and cardiovascular disease history; and sociodemographic factors, assessed by interview. RESULTS: Linear regression analyses revealed that HADS depression had the greatest influence on quality of life. Personality traits, most notably Emotional Stability, also predicted quality of life to varying degrees, along with factors reflecting current life circumstances. There were differences between the two cohorts in the variables which predicted quality of life. There were different, conceptually relevant, contributions to the different QoL facets. CONCLUSIONS: Personality traits and minor depressive symptoms have an important influence on self-reported quality of life in old age. Quality of life may be influenced more by current than past circumstances, and this relationship may change with age

    Editorial

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    von Steinbuchel N, Steffen A, Markowitsch HJ. Editorial. EXPERIMENTAL BRAIN RESEARCH. 1998;123(1-2):1-4

    A Rasch Analysis of the QOLIBRI Six-Item Overall Scale

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    Objective: The Quality Of Life after BRain Injury (QOLIBRI) consortium has developed a short six-item scale (QOLIBRI-OS) to screen health-related quality of life after traumatic brain injury. The goal of the current study is to examine further psychometric qualities of the Quality Of Life after BRain Injury-Overall Scale (QOLIBRI-OS) at the item level using Rasch analysis with particular emphasis on the operating characteristics of the items. Method: A total of 921 participants with traumatic brain injury were recruited. The analysis sample was restricted to 795 participants with Glasgow Coma Score and Glasgow Outcome Score&ndash;Extended available in order to ensure a well-characterized sample. Results: Overall fit statistics indicate sufficient reliability of the QOLIBRI-OS. The assumption of unidimensionality could be confirmed with reservation. The range of item locations is small, whereas item thresholds cover a wide range of the latent trait. The majority of parameter estimations for all class intervals of the respective test are in accordance with the model assumptions. Conclusion: The results show that, despite marginal misfits to the model, the six items representing the QOLIBRI-OS could establish a Rasch scale

    Self-awareness and health-related quality of life after traumatic brain injury

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    Objective: To investigate the relations among self-awareness (SA), impaired SA, and health-related quality of life (HRQOL) after traumatic brain injury (TBI). Participants: One hundred forty-one adults hospitalized with TBI and their significant others from a cross-sectional multicenter study. Using Glasgow Coma Scale classification, 32 participants had severe injuries, 29 moderate, 44 mild, and 25 complicated mild TBI. Measures: Patient Competency Rating Scale for Neurorehabilitation; Short Form-36 Health Survey; Cognitive Quality of Life; Quality Of Life after Brain Injury; Hospital Anxiety and Depression Scale; Profile of Mood States; Glasgow Outcome Scale Extended. Method: Patient Competency Rating Scale for Neurorehabilitation ratings made by participants and their significant others were used to assess SA and discrepancies between the 2 ratings were used to define impaired SA. Results: Significant associations were identified between SA and HRQOL, anxiety, depression, and severity of injury. Participants with and without impaired SA differed in cognitive HRQOL and leisure activities. Using multiple regression, no direct predictors of SA were identified, although interaction effects were observed. Conclusion: After TBI, lower SA is associated with higher estimates of HRQOL, particularly in the cognitive domain. Although the associations are modest, the assessment of SA should play a role in the interpretation of reported HRQOL after TBI
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