Hammond, Flora M.

Abstract Objective To conduct a scoping review of models of care for chronic disease management to identify potentially effective components for management of chronic traumatic brain injury (TBI). Methods Information sources : Systematic searches of three databases (Ovid MEDLINE, Embase, and Cochrane Database of Systematic Reviews) from January 2010 to May 2021. Eligibility criteria : Systematic reviews and meta‐analyses reporting on the effectiveness of the Chronic Care Model (CCM), collaborative/integrated care, and other chronic disease management models. Data : Target diseases, model components used ( n = 11), and six outcomes (disease‐specific, generic health‐related quality of life and functioning, adherence, health knowledge, patient satisfaction, and cost/health care use). Synthesis : Narrative synthesis, including proportion of reviews documenting outcome benefits. Results More than half (55%) of the 186 eligible reviews focused on collaborative/integrated care models, with 25% focusing on CCM and 20% focusing on other chronic disease management models. The most common health conditions were diabetes ( n = 22), depression ( n = 16), heart disease ( n = 12), aging ( n = 11), and kidney disease ( n = 8). Other single medical conditions were the focus of 22 reviews, multiple medical conditions of 59 reviews, and other or mixed mental health/behavioral conditions of 20 reviews. Some type of quality rating for individual studies was conducted in 126 (68%) of the reviews. Of reviews that assessed particular outcomes, 80% reported disease‐specific benefits, and 57% to 72% reported benefits for the other five types of outcomes. Outcomes did not differ by the model category, number or type of components, or target disease. Conclusions Although there is a paucity of evidence for TBI per se, care model components proven effective for other chronic diseases may be adaptable for chronic TBI care.

AbstractObjectiveTo identify group‐based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI).MethodsParticipants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire‐9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post‐injury. Ak‐means cluster analysis was conducted to determine group‐based patterns of SI, and pre‐injury variables were compared with ANOVAs and chi‐square tests.ResultsSI and attempts decreased over time. Four group‐based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre‐injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander.ConclusionThese findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI.

This study aims to characterize the patterns of functional change experienced between 5 and 10 years after moderate-severe traumatic brain injury (TBI). The study included TBI Model Systems national database participants ( N = 372) at six sites who experienced TBI, received inpatient rehabilitation, and were followed at 5 and 10 years post-TBI. Outcome measures included self- or proxy-reported Functional Independence Measure (FIM TM ) structured interview at 5 and 10 years post-TBI and domain change indices (DCIs) at 10 years to assess subjective change over the previous 5 years. When all seven FIM and subjective DCI subscales were considered together, 69% reported improvement in at least one subscale and 41% reported decline in at least one subscale; 51% reported more domains improved than declined, and 20% reported more domains declined than improved. Age at injury, post-traumatic amnesia duration, FIM, and depression and anxiety at year 5 were associated with FIM change and DCI measures. Although most persons with moderate-severe TBI do not experience widespread change from year 5 to 10 on individual FIM subscales or perceived domain-specific subscales, the vast majority do report change in one or more domains, with more improvement than decline and more change in subjective DCI than in FIM. Clinicians and researchers should be alert to the possibility of both positive and deleterious changes many years after TBI.

SummaryObjectiveDetermine incidence of posttraumatic seizure (PTS) following traumatic brain injury (TBI) among individuals with moderate‐to‐severe TBI requiring rehabilitation and surviving at least 5 years.MethodsUsing the prospective TBI Model Systems National Database, we calculated PTS incidence during acute hospitalization, and at years 1, 2, and 5 postinjury in a continuously followed cohort enrolled from 1989 to 2000 (n = 795). Incidence rates were stratified by risk factors, and adjusted relative risk (RR) was calculated. Late PTS associations with immediate (<24 h), early (24 h–7 day), or late seizures (>7 day) versus no seizure prior to discharge from acute hospitalization was also examined.ResultsPTS incidence during acute hospitalization was highest immediately (<24 h) post‐TBI (8.9%). New onset PTS incidence was greatest between discharge from inpatient rehabilitation and year 1 (9.2%). Late PTS cumulative incidence from injury to year 1 was 11.9%, and reached 20.5% by year 5. Immediate/early PTS RR (2.04) was increased for those undergoing surgical evacuation procedures. Late PTS RR was significantly greater for individuals who self‐identified as a race other than black/white (year 1 RR = 2.22), and for black individuals (year 5 RR = 3.02) versus white individuals. Late PTS was greater for individuals with subarachnoid hemorrhage (year 1 RR = 2.06) and individuals age 23–32 (year 5 RR = 2.43) and 33–44 (year 5 RR = 3.02). Late PTS RR years 1 and 5 was significantly higher for those undergoing surgical evacuation procedures (RR: 3.05 and 2.72, respectively).SignificanceIn this prospective, longitudinal, observational study, PTS incidence was similar to that in studies published previously. Individuals with immediate/late seizures during acute hospitalization have increased late PTS risk. Race, intracranial pathologies, and neurosurgical procedures also influenced PTS RR. Further studies are needed to examine the impact of seizure prophylaxis in high‐risk subgroups and to delineate contributors to race/age associations on long‐term seizure outcomes.

SummaryObjectivePosttraumatic seizures (PTS) are well‐recognized acute and chronic complications of traumatic brain injury (TBI). Risk factors have been identified, but considerable variability in who develops PTS remains. Existing PTS prognostic models are not widely adopted for clinical use and do not reflect current trends in injury, diagnosis, or care. We aimed to develop and internally validate preliminary prognostic regression models to predict PTS during acute care hospitalization, and at year 1 and year 2 postinjury.MethodsPrognostic models predicting PTS during acute care hospitalization and year 1 and year 2 post‐injury were developed using a recent (2011–2014) cohort from the TBI Model Systems National Database. Potential PTS predictors were selected based on previous literature and biologic plausibility. Bivariable logistic regression identified variables with a p‐value < 0.20 that were used to fit initial prognostic models. Multivariable logistic regression modeling with backward‐stepwise elimination was used to determine reduced prognostic models and to internally validate using 1,000 bootstrap samples. Fit statistics were calculated, correcting for overfitting (optimism).ResultsThe prognostic models identified sex, craniotomy, contusion load, and pre‐injury limitation in learning/remembering/concentrating as significant PTS predictors during acute hospitalization. Significant predictors of PTS at year 1 were subdural hematoma (SDH), contusion load, craniotomy, craniectomy, seizure during acute hospitalization, duration of posttraumatic amnesia, preinjury mental health treatment/psychiatric hospitalization, and preinjury incarceration. Year 2 significant predictors were similar to those of year 1: SDH, intraparenchymal fragment, craniotomy, craniectomy, seizure during acute hospitalization, and preinjury incarceration. Corrected concordance (C) statistics were 0.599, 0.747, and 0.716 for acute hospitalization, year 1, and year 2 models, respectively.SignificanceThe prognostic model for PTS during acute hospitalization did not discriminate well. Year 1 and year 2 models showed fair to good predictive validity for PTS. Cranial surgery, although medically necessary, requires ongoing research regarding potential benefits of increased monitoring for signs of epileptogenesis, PTS prophylaxis, and/or rehabilitation/social support. Future studies should externally validate models and determine clinical utility.