Primary Language and Participation Outcomes in Hispanics With Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study

Predictors of Multidimensional Profiles of Participation After Traumatic Brain Injury: A TBI Model Systems Study

OBJECTIVES

To identify personal, clinical, and environmental factors associated with 4 previously identified distinct multidimensional participation profiles of individuals following traumatic brain injury (TBI).

SETTING

Community.

PARTICIPANTS

Participants ( n = 408) enrolled in the TBI Model Systems (TBIMS) Participation Module, all 1 year or more postinjury.

DESIGN

Secondary data analysis of cross-sectional data from participants in a multicenter TBIMS module study on participation conducted between May 2006 and September 2007. Participants provided responses to questionnaires via a telephone interview at their study follow-up (1, 2, 5, 10, or 15 years postinjury).

MAIN MEASURES

Participants provided responses to personal (eg, demographic), clinical (eg, function), environmental (eg, neighborhood type), and participation measures to create multidimensional participation profiles. Data from measures collected at the time of injury (preinjury questionnaire, injury characteristics) were also included. The primary outcome was assignment to one of 4 multidimensional participation profile groups based on participation frequency, importance, satisfaction, and enfranchisement. The measures used to develop the profiles were: Participation Assessment with Recombined Tools-Objective, Importance, and Satisfaction scores, each across 3 domains (Productivity, Social Relationships, Out and About in the Community) and the Enfranchisement Scale (contributing to one's community, feeling valued by the community, choice and control).

RESULTS

Results of the multinomial regression analysis, with 4 distinct participation profile groups as the outcome, indicated that education, current employment, current illicit drug use, current driving status, community type, and FIM Cognitive at follow-up significantly distinguished participation profile groups. Findings suggest a trend toward differences in participation profile groups by race/Hispanic ethnicity.

CONCLUSIONS

Understanding personal, clinical, and environmental factors associated with distinct participation outcome profiles following TBI may provide more personalized and nuanced guidance to inform rehabilitation intervention planning and/or ongoing clinical monitoring.

Predictive factors influencing outcome of early cranioplasty after decompressive craniectomy: a outcome prediction model study

Objective

The timing of cranioplasty (CP) has become a widely debated topic in research, there is currently no unified standard. To this end, we established a outcome prediction model to explore the factors influencing the outcome of early CP. Our aim is to provide theoretical and practical basis for whether patients with skull defects after decompressive craniectomy (DC) are suitable for early CP.

Methods

A total of 90 patients with early CP after DC from January 2020 to December 2021 were retrospectively collected as the training group, and another 52 patients with early CP after DC from January 2022 to March 2023 were collected as the validation group. The Nomogram was established to explore the predictive factors that affect the outcome of early CP by Least absolute shrinkage analysis and selection operator (LASSO) regression and Logistic regression analysis. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the prediction model. Calibration curve was used to evaluate the accuracy of data fitting, and decision curve analysis (DCA) diagram was used to evaluate the benefit of using the model.

Results

Age, preoperative GCS, preoperative NIHSS, defect area, and interval time from DC to CP were the predictors of the risk prediction model of early CP in patients with skull defects. The area under ROC curve (AUC) of the training group was 0.924 (95%CI: 0.867-0.980), and the AUC of the validation group was 0.918 (95%CI, 0.842-0.993). Hosmer-Lemeshow fit test showed that the mean absolute error was small, and the fit degree was good. The probability threshold of decision risk curve was wide and had practical value.

Conclusion

The prediction model that considers the age, preoperative GCS, preoperative NIHSS, defect area, and interval time from DC has good predictive ability.

The Participation Assessment with Recombined Tools-Objective (PART-O): measurement properties of the Norwegian version after traumatic brain injury

OBJECTIVE

To translate and evaluate the validity of the Participation Assessment with Recombined Tools-Objective (PART-O) in a Norwegian context.

METHODS

One hundred and twenty persons with TBI with verified intracranial lesions and persistent symptoms lasting more than 2 years, included in a randomized controlled trial, rated their participation using the PART-O at baseline. The PART-O with its three subscales (Productivity, Out and About, and Social Relations) was translated to Norwegian. Descriptive statistics, Cronbach's alpha, Rasch analysis, and correlation analysis were applied.

RESULTS

The Rasch analysis indicated a unidimensional construct of PART-O and its subscales (χ2 < 12.69, p > 0.28). The internal consistency was moderate (Cronbach's alpha 0.48-0.52) and there was a need to reduce scaling options for most of the items. The Out and About and Productivity subscales had considerable floor effects. PART-O showed moderate positive correlation to TBI-related quality of life and global functioning.

CONCLUSIONS

PART-O and its subscales reflect unidimensional aspects of participation. In the present Norwegian TBI population the original scaling of PART-O was too detailed for all subscales. The floor effects and suboptimal targeting between items and subjects participation level of the Out and About subscale is a matter of concern.

Comparison of Informational and Educational Resource Provision for Individuals Living With Traumatic Brain Injury Based on Language, Nativity, and Neighborhood

OBJECTIVE

To examine a resource provision program for individuals living with moderate-to-severe traumatic brain injury (TBI), using a comparison of the resources provided across social differences of language, nativity, and neighborhood.

SETTING

The Rusk Rehabilitation TBI Model System (RRTBIMS) collects data longitudinally on individuals from their associated private and public hospitals, located in New York City.

PARTICIPANTS

A total of 143 individuals with TBI or their family members.

DESIGN

An observational study of relative frequency of resource provision across variables of language, nativity, and neighborhood, using related-samples nonparametric analyses via Cochran's Q test.

MAIN MEASURES

Variables examined were language, place of birth, residence classification as medically underserved area/population (MUA), and resource categories.

RESULTS

Results indicate that US-born persons with TBI and those living in medically underserved communities are provided more resources than those who are born outside the United States or reside in communities identified as adequately medically served. Language was not found to be a factor.

CONCLUSION

Lessons learned from this research support the development of this resource provision program, as well as guide future programs addressing the gaps in health information resources for groups negatively impacted by social determinants of health (SDoH). An approach with immigrant participants should take steps to elicit questions and requests, or offer resources explicitly. We recommend research looking at what interpreter strategies are most effective and research on SDoH in relation to the dynamic interaction of variables in the neighborhood setting.

Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study

OBJECTIVE

To identify key variables that could predict risk of loss to follow-up (LTFU) in a nationally funded longitudinal database of persons with traumatic brain injury.

DESIGN

Secondary analysis of a prospective longitudinal cohort study.

SETTING

Traumatic Brain Injury Model System (TBIMS) Centers in the US.

PARTICIPANTS

A total of 17,956 TBIMS participants (N=17,956) with interview status data available were included if eligible for 1-, 2-, 5-, 10-, 15-, or 20-year follow-ups between October 31, 1989, and September 30, 2020.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Follow-up data collection completion status at years 1, 2, 5, 10, 15, and 20.

RESULTS

Information relevant to participants' history, injury characteristics, rehabilitation stay, and patterns of follow-up across 20 years were considered using a series of logistic regression models. Overall, LTFU rates were low (consistently <20%). The most robust predictors of LTFU across models were missed earlier follow-ups and demographic factors including Hispanic ethnicity, lower education, and lack of private health insurance.

CONCLUSIONS

Efforts to retain participants in such social disadvantaged or minority groups are encouraged given their disproportionate rate of LTFU. Repeated attempts to reach participants after a previously missed assessment are beneficial because many participants that missed 1 or more follow-ups were later recovered.

Assessment of the individual and compounding effects of marginalization factors on injury severity, discharge location, recovery, and employment outcomes at 1 year after traumatic brain injury

Objective

The aim of this study is to examine the effect of eight distinct marginalized group memberships and explore their compounding effect on injury severity, recovery, discharge location, and employment outcomes 1-year after traumatic brain injury (TBI).

Methods

Individuals with medically confirmed, complicated mild-severe TBI (N = 300) requiring inpatient rehabilitation care between the ages of 18 and 65 were recruited at two urban (public and private) health systems between 2013 and 2019. Data were collected from self-report and medical record abstraction. Marginalized group membership (MGM) includes racial and ethnic minority status, less than a high school diploma/GED, limited English proficiency, substance abuse, homelessness, psychiatric hospitalizations, psychiatric disorders, and incarceration history. Membership in four or more of these groups signifies high MGM. In addition, these factors were explored individually. Unadjusted and adjusted linear and logistic regressions and Kruskal–Wallis tests were used to assess the associations of interest in RStudio.

Results

After adjusting for age, sex, and cause of injury, compared to TBI patients with low MGM, those with high MGM experience significantly longer post-traumatic amnesia (95% CI = 2.70, 16.50; p = 0.007) and are significantly more likely to have a severe TBI (per the Glasgow-Coma Scale) (95% CI = 1.70, 6.10; p ≤ 0.001) than a complicated mild-moderate injury. Individuals with high MGM also are significantly less likely to be engaged in competitive paid employment 1 year after injury (95% CI = 2.40, 23.40; p = 0.001). Patients with high MGM are less likely to be discharged to the community compared to patients with low MGM, but this association was not significant (95% CI = 0.36, 1.16; p = 0.141). However, when assessing MGMs in isolation, certain associations were not significant in unadjusted or adjusted models.

Conclusion

This exploratory study's findings reveal that when four or more marginalization factors intersect, there is a compounding negative association with TBI severity, recovery, and employment outcomes. No significant association was found between high MGM and discharge location. When studied separately, individual MGMs had varying effects. Studying marginalization factors affecting individuals with TBI has critical clinical and social implications. These findings underline the importance of addressing multidimensional factors concurrent with TBI recovery, as the long-term effects of TBI can place additional burdens on individuals and their economic stability.