Regional Variations in Rehabilitation Outcomes of Adult Patients With Traumatic Brain Injury: A Uniform Data System for Medical Rehabilitation Investigation

Efficacy of BETTER transitional care intervention for diverse patients with traumatic brain injury and their families: Study protocol of a randomized controlled trial

OBJECTIVE

The purpose of this study is to examine the efficacy of BETTER (Brain Injury, Education, Training, and Therapy to Enhance Recovery) vs. usual transitional care management among diverse adults with traumatic brain injury (TBI) discharged home from acute hospital care and families.

METHODS

This will be a single-site, two-arm, randomized controlled trial (N = 436 people, 218 patient/family dyads, 109 dyads per arm) of BETTER, a culturally- and linguistically-tailored, patient- and family-centered, TBI transitional care intervention for adult patients with TBI and families. Skilled clinical interventionists will follow a manualized protocol to address patient/family needs. The interventionists will co-establish goals with participants; coordinate post-hospital care, services, and resources; and provide patient/family education and training on self- and family-management and coping skills for 16 weeks following hospital discharge. English- and Spanish-speaking adult patients with mild-to-severe TBI who are discharged directly home from the hospital without inpatient rehabilitation or transfer to other settings (community discharge) and associated family caregivers are eligible and will be randomized to treatment or usual transitional care management. We will use intention-to-treat analysis to determine if patients receiving BETTER have a higher quality of life (primary outcome, SF-36) at 16-weeks post-hospital discharge than those receiving usual transitional care management. We will conduct a descriptive, qualitative study with 45 dyads randomized to BETTER, using semi-structured interviews, to capture perspectives on barriers and facilitators to participation. Data will be analyzed using conventional content analysis. Finally, we will conduct a cost/budget impact analysis, evaluating differences in intervention costs and healthcare costs by arm.

DISCUSSION

Findings will guide our team in designing a future, multi-site trial to disseminate and implement BETTER into clinical practice to enhance the standard of care for adults with TBI and families. The new knowledge generated will drive advancements in health equity among diverse adults with TBI and families.

TRIAL REGISTRATION

NCT05929833.

The BETTER Traumatic Brain Injury Transitional Care Intervention: A Feasibility Study

This study aimed to investigate the feasibility, acceptability, and clinical outcome measures of BETTER (Brain Injury Education, Training, and Therapy to Enhance Recovery), a culturally tailored traumatic brain injury (TBI) transitional care intervention, among diverse younger adult patients with TBI (age 18-64) and their caregivers. Trained clinical interventionists addressed patient/family needs; established goals; coordinated post-hospital care and resources; and provided patient/family training on self- and family-management coping skills. Fifteen dyads enrolled (N = 31, 15 patients, 16 caregivers). All completed baseline data; 74.2% (n = 23; 10 patients, 13 caregivers) completed 8-week data; 83.8% (n = 26; 13 each) completed 16-week data. Approximately 38% (n = 12, 3 patients, 9 caregivers) completed acceptability data, showing positive experiences (mean = 9.25, range 0-10; SD = 2.01). Overall and mental quality of life (QOL) scores did not differ over time but physical QOL scores did improve over time (baseline: 30.3, 8 weeks: 46.5, 16 weeks: 61.6; p = 0.0056), which was considered to be a suitable outcome measure for a future trial. BETTER is a promising intervention with implications to improve TBI care standards. Research is needed to determine efficacy in a randomized trial.

"If you respect me, you are respecting my culture": methods and recommendations for personalizing a TBI transitional care intervention

OBJECTIVE

Despite research, national legislation, and clinical guidelines supporting transitional care, there is minimal benefit from existing transitional care interventions for racial/ethnic minorities with traumatic brain injury (TBI) discharged home from acute hospital care. Existing TBI transitional care interventions are not tailored to address the needs/preferences of patients from various racial/ethnic minority groups. The purpose of this study was to describe use of personalization to tailor a TBI transitional care intervention for various racial/ethnic groups.

DESIGN

Following preliminary intervention manual development, a qualitative descriptive study was conducted using eight focus groups with 40 English-and Spanish-speaking participants (12 patients, 12 caregivers, and 16 providers).

RESULTS

Three personalization-related themes emerged: 1) what is important to me, 2) finding someone to deliver the intervention who can adapt to my needs, and 3) respect over culture. Findings informed personalization strategies within our final manual.

CONCLUSIONS

We recommend researchers who wish to use personalization to tailor interventions to consider: 1) allowing stakeholders to dictate what is most important and 2) implementing an iterative intervention development process with input from diverse stakeholders. Findings have implications for informing the development of transitional care interventions to increase the likelihood that interventions are inclusive of needs and preferences of various races/ethnicities.

Prognostic humility and ethical dilemmas after severe brain injury: Summary, recommendations, and qualitative analysis of Curing Coma Campaign virtual event proceedings

Background

Patients with severe acute brain injuries (SABI) are at risk of living with long-term disability, frequent medical complications and high rates of mortality. Determining an individual patient’s prognosis and conveying this to family members/caregivers can be challenging. We conducted a webinar with experts in neurosurgery, neurocritical care, neuro-palliative care, neuro-ethics, and rehabilitation as part of the Curing Coma Campaign, which is supported by the Neurocritical Care Society. The webinar discussed topics focused on prognostic uncertainty, communicating prognosis to family members/caregivers, gaps within healthcare systems, and research infrastructure as it relates to patients experiencing SABI. The purpose of this manuscript is to describe the themes that emerged from this virtual discussion.

Methods

A qualitative analysis of a webinar “Prognostic Humility and Ethical Dilemmas in Acute Brain Injury” was organized as part of the Neurocritical Care Society’s Curing Coma Campaign. A multidisciplinary group of experts was invited as speakers and moderators of the webinar. The content of the webinar was transcribed verbatim. Two qualitative researchers (NK and BM) read and re-read the transcription, and familiarized themselves with the text. The two coders developed and agreed on a code book, independently coded the transcript, and discussed any discrepancies. The transcript was analyzed using inductive thematic analysis of codes and themes that emerged within the expert discussion.

Results

We coded 168 qualitative excerpts within the transcript. Two main themes were discussed: (1) the concept of prognostic uncertainty in the acute setting, and (2) lack of access to and evidence for quality rehabilitation and specialized continuum of care efforts specific to coma research. Within these two main themes, we found 5 sub-themes, which were broken down into 23 unique codes. The most frequently described code was the need for clinicians to acknowledge our own uncertainties when we discuss prognosis with families, which was mentioned 13 times during the webinar. Several strategies were described for speaking with surrogates of patients who have had a severe brain injury resulting in SABI. We also identified important gaps in the United States health system and in research to improve the care of patients with severe brain injuries.

Conclusion

As a result of this webinar and expert discussion, authors identified and analyzed themes related to prognostic uncertainty with SABI. Recommendations were outlined for clinicians who engage with surrogates of patients with SABI to foster informed decisions for their loved one. Finally, recommendations for changes in healthcare systems and research support are provided in order to continue to propel SABI science forward to improve future prognostic certainty.

Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study

Objective

Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. In this study, the characteristics of the patients, who were admitted to the China Rehabilitation Research Center, were elucidated in the TBI database, and a prediction model based on the Fugl-Meyer assessment scale (FMA) was established using this database.

Methods

A retrospective analysis of 463 TBI patients, who were hospitalized from June 2016 to June 2020, was performed. The data of the patients used for this study included the age and gender of the patients, course of TBI, complications, and concurrent dysfunctions, which were assessed using FMA and other measures. The information was collected at the time of admission to the hospital and 1 month after hospitalization. After 1 month, a prediction model, based on the correlation analyses and a 1-layer genetic algorithms modified back propagation (GA-BP) neural network with 175 patients, was established to predict the FMA. The correlations between the predicted and actual values of 58 patients (prediction set) were described.

Results

Most of the TBI patients, included in this study, had severe conditions (70%). The main causes of the TBI were car accidents (56.59%), while the most common complication and dysfunctions were hydrocephalus (46.44%) and cognitive and motor dysfunction (65.23 and 63.50%), respectively. A total of 233 patients were used in the prediction model, studying the 11 prognostic factors, such as gender, course of the disease, epilepsy, and hydrocephalus. The correlation between the predicted and the actual value of 58 patients was R ² = 0.95.

Conclusion

The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.

Post-Acute Care for Traumatic Brain Injury Patients in Taiwan

Background

Traumatic brain injury (TBI) can result in functional impairments. Many patients with TBI require post-acute care to improve their functional skills and allow for greater self-independence and a better quality of life. Taiwan's National Health Insurance proposed a nationwide post-acute care program in 2017 for patients with traumatic brain injury. The program's goal was to maximize patients' functional recovery and make it possible for them to return to their homes and communities. This study aimed to explore the effectiveness of such programs in Taiwan.

Methods

This pilot study retrospectively evaluated a de-identified database that contained the scores of various assessments evaluated at admission and discharge. It used the data to determine the functional improvement of patients with traumatic brain injury after participating in post-acute care programs.

Results

This study collected complete data from 27 patients. After an average of 45.11 days in the program, the patients showed significant improvement in the Barthel Activity Daily Living Index, the Lawton-Brody Instrumental Activity Daily Living Scale, the Mini Nutrition Assessment, the EuroQol Five Dimensions Questionnaire, the Berg Balance Scale, the Galveston Orientation and Amnesia Test, the Rancho Los Amigos Scale, the Concise Chinese Aphasia Test, and the Mini Mental State Examination. After discharge, 96% of the patients could return to their community.

Conclusion

This pilot study concluded that the program significantly promoted functional recovery for patients and could help patients with traumatic brain injury return to their communities and reduce the risk of institutionalization. Thus, patients with the potential for functional recovery could receive post-acute care in regional or community hospitals immediately after being discharged from acute wards. In the future randomized controlled trials are needed to further confirm the clinical impact of this program.

Design, methods, and baseline characteristics of the Brain Injury Education, Training, and Therapy to Enhance Recovery (BETTER) feasibility study: a transitional care intervention for younger adult patients with traumatic brain injury and caregivers

OBJECTIVES

We developed a patient- and family-centered traumatic brain injury (TBI) transitional care intervention, called BETTER (Brain Injury Education, Training, and Therapy to Enhance Recovery), to improve quality of life (via SF-36) of younger TBI patients of different racial groups discharged home from acute hospital care and caregivers. We describe our design, methods, and baseline characteristics for our feasibility study.

METHODS

We co-developed BETTER with input from key stakeholders (TBI patients and caregivers, healthcare providers, and interdisciplinary research team members). BETTER is guided by the Individual and Family Self-Management Theory, our team's prior research, as well as literature used to support, educate, and train patients and families recovering from TBI and other conditions. The intervention is delivered by trained clinical interventionists (transitional care managers), beginning 24-72 h pre-discharge to 16 weeks post-discharge. BETTER offers tailored transitional care support to patient/family dyads, including assessing needs; establishing goals; coordinating post-hospital care, services, and resources; and providing patient/family education and training on brain injury coping skills. The majority of the intervention is delivered remotely via phone and remote video conferencing platform (Clinicaltrials.gov: NCT04584554).

RESULTS

We enrolled 15 dyads (N = 31, 15 patients, 16 caregivers) in this single arm, single center feasibility study. Most patients were men (n = 11, 73.33%), had a mean age of 39.07 (SD: 15.15), and were Black (n = 9, 60%), White (n = 5, 33.3%), or American Indian (n = 1, 0.66%). Injury severities were mild (n = 6, 40%), moderate (n = 4, 26.6%) or severe (n = 5, 33.33%). Most patients were insured (n = 10; 66.7%), had a high school education (n = 6; 40%); and earned $30,000 or less per year (n = 11; 73.3%). Most caregivers were married (n = 9, 56.25%) women (n = 14, 87.5%) with a mean age of 43.38 (SD: 10.45) and were Black (n = 8, 50%), White (n = 7, 43.75%), or American Indian (n = 1, 0.62%). Most caregivers identified as the spouse (n = 7; 43.75%) or parent (n = 6; 37.5%) of the patient.

CONCLUSIONS

BETTER is among the first TBI transitional care intervention to address needs/preferences for younger TBI patients of different racial groups after discharge home from acute hospital care and families. Findings can be used to inform future work.

Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision

Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.