Interpersonal Firearm Injury and Death in Portland, Oregon: 2018 Through 2021.

The annual number of firearm injuries in Portland, Oregon has been higher in the years since 2020 than in any prior year in the city's history. This descriptive study analyzed data from Gun Violence Archives (GVA) from January 1, 2018, to December 31, 2021. All incidents in GVA of interpersonal firearm injury that occurred in Portland during this period were analyzed for location, number of people injured or killed, and demographic information for those injured or killed. Comparisons in firearm injury rates were made with Seattle and San Francisco. Interpersonal firearm injuries began to rise after the first COVID-19 case in Oregon; July 2020 had the most injuries in the four-year period. Black men suffered the highest rate of interpersonal fatalities, with more than 11-fold higher rate per 100,000 than White men in every year studied. Portland had a higher rate of total interpersonal firearm injuries and a higher rate of firearm fatalities from 2018 through 2021 compared to Seattle and San Francisco. Neighborhoods near Downtown and those on the Eastside of the city had the highest rates of interpersonal injuries and deaths from firearms, whereas those in the Southwest had the lowest. Defining the burden of disease from interpersonal firearm injuries is a fundamental step in designing future public health research and implementing interventions to curb the trauma brought by interpersonal firearm injury.

Harmonizing federal interagency traumatic brain injury research data to examine depression and suicide-related outcomes.

OBJECTIVE: This proof-of-concept study was conducted to establish the feasibility of compiling Federal Interagency Traumatic Brain Injury Research (FITBIR) data pertaining to depression and suicide risk, with the secondary goal of improving understanding regarding these outcomes. FITBIR is a national repository of participant-level traumatic brain injury (TBI) data designed to address methodological limitations (e.g., small sample size, heterogeneity of injuries). METHOD: FITBIR studies with TBI severity and measures related to depression and suicidal ideation were identified. Data were harmonized across relevant studies and grouped to identify "probable depression" and suicidal ideation, resulting in a large, combined sample. Rates of probable depression and suicidal ideation were described across the available studies, considering the influence of demographic and/or injury-related factors on outcomes. RESULTS: Cross-sectional studies meeting criteria included four studies with depression outcomes and two with suicidal ideation outcomes. Two studies reported data appropriate for comparative analyses on depression. Combined results suggested that approximately 71% of participants were categorized as having probable depression. Participants with a history of mild TBI had 2.54 greater odds of probable depression (95% confidence interval [1.93, 3.34]) than those without a history of TBI. CONCLUSIONS: Methods, harmonization code, and meta-databases related to TBI, probable depression, and suicidal ideation are now publicly available on the FITBIR website. Even with limited data, harmonization of FITBIR studies can serve as the basis for ongoing TBI and mental health research. Analyses will be more robust in the future as more studies with relevant outcome data are added to the FITBIR database. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Increased Risk for Clinically Significant Sleep Disturbances in Mild Traumatic Brain Injury: An Approach to Leveraging the Federal Interagency Traumatic Brain Injury Research Database.

STUDY OBJECTIVES: The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance. METHODS: This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors. RESULTS: Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI. CONCLUSIONS: This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors.

Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning.

OBJECTIVE: Demonstrate how patient-level traumatic brain injury (TBI) data from studies in the Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System can be harmonized and pooled to examine relationships between TBI and cognitive functioning. METHOD: We harmonized and pooled data across studies and analyzed rates of probable cognitive functioning deficits by TBI history and severity. RESULTS: Four publicly available FITBIR studies with 3,445 participants included data on cognitive dysfunction, though only one included comparison groups (mild TBI vs. no history of TBI) and could be used in the final comparative analyses. Of the 1,539 participants, 82% had a history of mild TBI and 67% had data suggesting the presence of cognitive dysfunction. Participants with a history of mild TBI were mostly male (87%), 25-39 years old (53%), and Non-Hispanic White (60%). Conclusions: One publicly available FITBIR study reported cognitive dysfunction data as of January 2021, though findings were similar to prior research and supported an association between mild TBI and cognitive dysfunction. This proof-of-concept study shared newly developed methods including harmonization, analysis syntax, and meta-data via the FITBIR website to encourage dissemination of these TBI data resources in line with FAIR data goals.