Medicaid Insurance is a Predictor of Prolonged Hospital Length of Stay After Traumatic Brain Injury: A Stratified National Trauma Data Bank Cohort Analysis of 552 949 Patients.

BACKGROUND AND OBJECTIVES: Hospital length of stay (HLOS) is a metric of injury severity, resource utilization, and healthcare access. Recent evidence has shown an association between Medicaid insurance and increased HLOS after traumatic brain injury (TBI). This study aims to validate the association between Medicaid and prolonged HLOS after TBI using the National Trauma Data Bank. METHODS: National Trauma Data Bank Trauma Quality Programs Participant Use Files (2003-2021) were queried for adult patients with TBI using traumatic intracranial injury ICD-9/ICD-10 codes. Patients with complete HLOS, age, sex, race, insurance payor, Glasgow Coma Scale, Injury Severity Score, and discharge disposition data were included (N = 552 949). Analyses were stratified by TBI severity using Glasgow Coma Scale. HLOS was coded into Tiers according to percentiles within TBI severity categories (Tier 1: 1-74th; 2: 75-84th; 3: 85-94th; 4: 95-99th). Multivariable logistic regressions evaluated associations between insurance payor and prolonged (Tier 4) HLOS, controlling for sociodemographic, Injury Severity Score, cranial surgery, and discharge disposition variables. Adjusted odds ratios (aOR) and 95% CI were reported. RESULTS: HLOS Tiers consisted of 0-19, 20-27, 28-46, and ≥47 days (Tiers 1-4, respectively) in severe TBI (N = 103 081); 0-15, 16-21, 22-37, and ≥38 days in moderate TBI (N = 39 904); and 0-7, 8-10, 11-19, and ≥20 days in mild TBI (N = 409 964). Proportion of Medicaid patients increased with Tier ([Tier 1 vs Tier 4] severe: 16.0% vs 36.1%; moderate: 14.1% vs 31.6%; mild TBI: 10.2% vs 17.4%; all P < .001). On multivariable analyses, Medicaid was associated with prolonged HLOS (severe TBI: aOR = 2.35 [2.19-2.52]; moderate TBI: aOR = 2.30 [2.04-2.61]; mild TBI: aOR = 1.75 [1.67-1.83]; reference category: private/commercial). CONCLUSION: This study supports Medicaid as an independent predictor of prolonged HLOS across TBI severity strata. Reasons may include different efficacies in care delivery and reimbursement, which require further investigation. Our findings support the development of discharge coordination pathways and policies for Medicaid patients with TBI.

Socioeconomic and clinical factors associated with prolonged hospital length of stay after traumatic brain injury.

BACKGROUND: Hospital length of stay (HLOS) after traumatic brain injury (TBI) is a metric of injury severity, resource utilization, and access to services. This study aimed to evaluate socioeconomic and clinical factors associated with prolonged HLOS after TBI. METHODS: Retrospective data from adult hospitalized patients diagnosed with acute TBI at a US Level 1 trauma center between August 1, 2019 - April 1, 2022 were extracted from the electronic health record. HLOS was stratified by Tier (1: 1-74th percentile; 2: 75-84th; 3: 85-94th; 4: 95-99th). Demographic, socioeconomic, injury severity, and level-of-care factors were compared by HLOS. Multivariable logistic regressions evaluated associations between socioeconomic and clinical variables and prolonged HLOS, using multivariable odds ratios (mOR) and [95% confidence intervals]. Estimated daily charges were calculated for a subset of medically-stable inpatients awaiting placement. Statistical significance was assessed at p < 0.05. RESULTS: In 1443 patients, median HLOS was 4 days (interquartile range 2-8; range 0-145). HLOS Tiers were 0-7, 8-13, 14-27, and ≥28 days (Tiers 1-4, respectively). Patients with Tier 4 HLOS differed significantly from others, with increased Medicaid insurance (53.4% vs. 30.3-33.1%, p = 0.003), severe TBI (Glasgow Coma Scale 3-8: 38.4% vs. 8.7-18.2%, p < 0.001), younger age (mean 52.3-years vs. 61.1-63.7-years, p = 0.003), low socioeconomic status (53.4% vs. 32.0-33.9%, p = 0.003), and need for post-acute care (60.3% vs. 11.2-39.7%, p < 0.001). Independent factors associated with prolonged (Tier 4) HLOS were Medicaid (mOR = 1.99 [1.08-3.68], vs. Medicare/commercial), moderate and severe TBI (mOR = 3.48 [1.61-7.56]; mOR = 4.43 [2.18-8.99], respectively, vs. mild TBI), and need for post-acute placement (mOR = 10.68 [5.74-19.89], while age was protective (per-year mOR = 0.98 [0.97-0.99]). Estimated daily charges for a medically-stable inpatient was $17126. CONCLUSIONS: Medicaid insurance, moderate/severe TBI, and need for post-acute care were independently associated with prolonged HLOS ≥28 days. Medically-stable inpatients awaiting placement accrue immense daily healthcare costs. At-risk patients should be identified early, receive care transitions resources, and be prioritized for discharge coordination pathways.

Predictors of Extreme Hospital Length of Stay After Traumatic Brain Injury.

BACKGROUND: Hospital length of stay (HLOS) after traumatic brain injury (TBI) is an important metric of injury severity, resource utilization, and access to post-acute care services. Risk factors for protracted HLOS after TBI require further characterization. METHODS: Data regarding adult inpatients admitted to a single U.S. level 1 trauma center with a diagnosis of acute TBI between August 1, 2019, and April 1, 2022, were extracted from the electronic health record. Patients with extreme HLOS (XHLOS, >99th percentile of institutional TBI HLOS) were compared with those without XHLOS. Socioeconomic status (SES), clinical/injury factors, and discharge disposition were analyzed. RESULTS: In 1638 patients, the median HLOS was 3 days (interquartile range [IQR]: 2-8 days). XHLOS threshold was >70 days (N = 18; range: 72-146 days). XHLOS was associated with younger age (XHLOS/non-XHLOS: 50.4/59.6 years; P = 0.042) and greater proportions with severe TBI (55.6%/11.4%; P < 0.001), low SES (72.2%/31.4%; P < 0.001), and Medicaid insurance (77.8%/30.1%; P < 0.001). XHLOS patients were more likely to die in hospital (22.2%/8.1%) and discharge to post-acute facility (77.8%/16.3%; P < 0.001). No XHLOS patients were discharged to home. In XHLOS patients alive at discharge, medical stability was documented at median 39 days (IQR: 28-58 days) and were hospitalized for another 56 days (IQR: 26.5-78.5 days). CONCLUSIONS: XHLOS patients were more likely to have severe injuries, low SES, and Medicaid. XHLOS is associated with in-hospital mortality and need for post-acute placement. XHLOS patients often demonstrated medical stability long before placement, underscoring complex relationships between SES, health insurance, and outcome. These findings have important implications for quality improvement and resource utilization at acute care hospitals and await validation from larger trials.

Navigated TMS in the ICU: Introducing Motor Mapping to the Critical Care Setting.

Navigated transcranial magnetic stimulation (nTMS) is a modality for noninvasive cortical mapping. Specifically, nTMS motor mapping is an objective measure of motor function, offering quantitative diagnostic information regardless of subject cooperation or consciousness. Thus far, it has mostly been restricted to the outpatient setting. This study evaluates the feasibility of nTMS motor mapping in the intensive care unit (ICU) setting and solves the challenges encountered in this special environment. We compared neuronavigation based on computed tomography (CT) and magnetic resonance imaging (MRI). We performed motor mappings in neurocritical patients under varying conditions (e.g., sedation or hemicraniectomy). Furthermore, we identified ways of minimizing electromyography (EMG) noise in the interference-rich ICU environment. Motor mapping was performed in 21 patients (six females, median age: 69 years). In 18 patients, motor evoked potentials (MEPs) were obtained. In three patients, MEPs could not be evoked. No adverse reactions occurred. We found CT to offer a comparable neuronavigation to MRI (CT maximum e-field 52 ± 14 V/m vs. MRI maximum e-field 52 ± 11 V/m; p = 0.6574). We detailed EMG noise reduction methods and found that propofol sedation of up to 80 mcg/kg/h did not inhibit MEPs. Yet, nTMS equipment interfered with exposed pulse oximetry. nTMS motor mapping application and use was illustrated in three clinical cases. In conclusion, we present an approach for the safe and reliable use of nTMS motor mapping in the ICU setting and outline possible benefits. Our findings support further studies regarding the clinical value of nTMS in critical care settings.

Internet-based dyspnea self-management support for patients with chronic obstructive pulmonary disease.

CONTEXT: People with chronic obstructive pulmonary disease experience dyspnea with activities despite optimal medical management. OBJECTIVES: The purpose of this study was to test the efficacy of two 12-month dyspnea self-management programs (DSMPs), Internet-based (eDSMP) and face-to-face (fDSMP), compared with a general health education (GHE) control on the primary outcome of dyspnea with activities. METHODS: Participants with chronic obstructive pulmonary disease were randomized to eDSMP (n=43), fDSMP (n=41), or GHE (n=41). The content of the DSMPs were similar and focused on education, skills training, and coaching on dyspnea self-management strategies, including exercise, and only differed in the delivery mode. Dyspnea with activities was measured with the Chronic Respiratory Questionnaire at three, six, and 12 months. Secondary outcomes included exercise behavior and performance, health-related quality of life, self-efficacy for dyspnea management, and perception of support for exercise. The study was registered at Clinicaltrials.gov (NCT00461162). RESULTS: There were no differences in dyspnea with activities across groups over 12 months (P=0.48). With the exception of arm endurance (P=0.04), exercise behavior, performance, and health-related quality of life did not differ across groups (P>0.05). Self-efficacy for managing dyspnea improved for the DSMPs compared with GHE (P=0.06). DSMP participants perceived high levels of support for initiating and maintaining an exercise program. CONCLUSION: The DSMPs did not significantly reduce dyspnea with activities compared with attention control. However, the high participant satisfaction with the DSMPs combined with positive changes in other outcomes, including self-efficacy for managing dyspnea and exercise behavior, highlight the need for additional testing of individually tailored technology-enabled interventions to optimize patient engagement and improve clinically relevant outcomes.