OBJECTIVE: Surveillance of traumatic brain injury (TBI), including concussion, in the United States has historically relied on healthcare administrative datasets, but these methods likely underestimate the true burden of TBI. The Centers for Disease Control and Prevention (CDC) has recently added TBI prevalence questions to several national surveys. The objective of this article is to summarize their recent efforts and report TBI prevalence estimates. SETTING: Surveys. PARTICIPANTS: Adult and youth respondents to a series of national surveys. DESIGN: Recent nationally representative surveys with either 12-month or lifetime TBI prevalence questions were identified. MAIN MEASURES: For each data source, survey methodology, TBI definition, question wording, and prevalence estimates were examined. RESULTS: TBI prevalence varied depending on the question wording and data source. Overall 12-month prevalence of concussion/TBI among adults ranged from 2% to 12% while overall lifetime prevalence of concussion or TBI ranged from 19% to 29%. Overall 12-month prevalence of concussion/TBI among children and adolescents was 10% while 12-month prevalence of sports- and recreation-related concussion for youth ranged from 7% to 15%. Overall lifetime prevalence of TBI among youth ranged from 6% to 14%. CONCLUSION: Survey data based on self-reported concussions and TBIs resulted in larger prevalence estimates than would be expected based on traditional surveillance methods. Analyses of the various surveys shows that how the questions are asked and what terminology is used can notably affect the estimates observed. Efforts can be made to optimize and standardize data collection approaches to ensure consistent measurement across settings and populations.

INTRODUCTION: Concussions sustained during sports and recreational activities are a concern for young athletes. The purpose of this study was to estimate past 12-month sport- and recreation-related (SRR) traumatic brain injuries (TBIs) among a sample of children. METHODS: Pilot data from the Centers for Disease Control and Prevention's National Concussion Surveillance System were analyzed. National Concussion Surveillance System utilized a cross-sectional random-digit-dial telephone survey using computer-assisted telephone interviewing to collect self/proxy-reported data from 2018 to 2019. Adults with children aged 5-17 in the household were asked about head injuries sustained by their children. Estimates were stratified by sociodemographic and injury circumstance characteristics. Data analysis occurred from April 2022 to July 2023. RESULTS: Utilizing a tiered case definition developed by the Centers for Disease Control and Prevention, an estimated 6.9% (95% confidence interval [CI], 6.0%-7.8%) of the sample's 5-17-year-old children sustained at least one probable or possible SRR-TBI in the previous 12 months; 3.3% (95% CI, 2.7%-4.0%) of the children sustained at least one probable SRR-TBI. An estimated 63.6% (95% CI, 58.1%-69.0%) of all reported TBIs were attributed to SRR activities. Of the SRR-TBIs reported, 41.1% (95% CI, 33.0%-49.2%) were experienced while playing contact sports. Symptoms did not resolve for 8 or more days or had not resolved at the time of the interview for 18.1% (95% CI, 13.0%-23.1%) of the children's most recent SRR-TBI. CONCLUSIONS: Many proxy-reported TBIs among children aged 5-17 years were due to sports and recreational activities. Athletic trainers and healthcare providers can play a role in the prevention, identification, and management of SRR-TBIs in their respective environments.

OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. METHODS: Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)'s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months (n = 1,364) were retained and queried for injury, outcome, and clinical characteristics. An unsupervised machine learning algorithm, partitioning around medoids (PAM), that employed Gower's dissimilarity matrix, was used to conduct a cluster analysis. RESULTS: PAM grouped respondents into five TBI clusters (phenotypes A-E). Phenotype C represented more clinically severe TBIs with a higher prevalence of symptoms and association with worse outcomes. When compared to individuals in Phenotype A, a group with few TBI-related symptoms, individuals in Phenotype C were more likely to undergo medical evaluation (odds ratio [OR] = 9.8, 95% confidence interval[CI] = 5.8-16.6), have symptoms that were not currently resolved or resolved in 8+ days (OR = 10.6, 95%CI = 6.2-18.1), and more likely to report at least moderate impact on social (OR = 54.7, 95%CI = 22.4-133.4) and work (OR = 25.4, 95%CI = 11.2-57.2) functioning. CONCLUSION: Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.

BACKGROUND: Current methods of traumatic brain injury (TBI) morbidity surveillance in the United States have primarily relied on hospital-based data sets. However, these methods undercount TBIs as they do not include TBIs seen in outpatient settings and those that are untreated and undiagnosed. A 2014 National Academy of Science Engineering and Medicine report recommended that the Centers for Disease Control and Prevention (CDC) establish and manage a national surveillance system to better describe the burden of sports- and recreation-related TBI, including concussion, among youth. Given the limitations of TBI surveillance in general, CDC took this recommendation as a call to action to formulate and implement a robust pilot National Concussion Surveillance System that could estimate the public health burden of concussion and TBI among Americans from all causes of brain injury. Because of the constraints of identifying TBI in clinical settings, an alternative surveillance approach is to collect TBI data via a self-report survey. Before such a survey was piloted, it was necessary for CDC to develop a case definition for self-reported TBI. OBJECTIVE: This article outlines the rationale and process the CDC used to develop a tiered case definition for self-reported TBI to be used for surveillance purposes. CONCLUSION: A tiered TBI case definition is proposed with tiers based on the type of sign/symptom(s) reported the number of symptoms reported, and the timing of symptom onset.

OBJECTIVE: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

INTRODUCTION: Previous international research suggests that the incidence of head injuries may follow seasonal patterns. However, there is limited information about how the numbers and rates of head injuries, particularly sports- and recreation-related head injuries, among adults and children evaluated in the emergency department (ED) vary by month in the USA. This information would provide the opportunity for tailored prevention strategies. METHODS: We analysed data from the National Electronic Injury Surveillance System-All Injury Program from 2016 to 2019 to examine both monthly variation of ED visit numbers and rates for head injuries overall and those due to sports and recreation. RESULTS: The highest number of head injuries evaluated in the ED occurred in October while the lowest number occurred in February. Among males, children ages 0-4 years were responsible for the highest rates of head injury-related ED visits each year, while in females the highest rates were seen in both children ages 0-4 and adults ages 65 and older. The highest number of head injuries evaluated in the ED due to sports and recreation were seen in September and October. Head injury-related ED visits due to sports and recreation were much more common in individuals ages 5-17 than any other age group. CONCLUSION: This study showed that head injury-related ED visits for all mechanisms of injury, as well as those due to sports- and recreation-related activities, followed predictable patterns-peaking in the fall months. Public health professionals may use study findings to improve prevention efforts and to optimise the diagnosis and management of traumatic brain injury and other head injuries.

Sexual violence (SV) is a critical public health problem that is associated with numerous negative health consequences, including immediate- and long-term physical and mental health conditions and health-risk behaviors. Some of these health-risk behaviors (e.g., substance use, unsafe driving practices, poor mental health, lower impulse control, and abnormal brain circuitry) might increase the risk for sustaining a traumatic brain injury (TBI). A TBI causes neurological or neuropsychological changes and may also lead to various symptoms that affect a person's cognition, mobility, behavior, and mental health. Determining if those who have experienced SV are at increased risk of sustaining a TBI in their lifetime is critical given the high prevalence and health impacts of SV, the potential vulnerability to TBI after SV, and the known detrimental effects of TBI. This exploratory study examined data from the 2017 Connecticut behavioral risk factor surveillance system and found that lifetime SV victimization (controlling for age and sex) was associated with increased odds of reporting a recent TBI in the past 12 months (adjusted odds ratio [AOR] = 2.1; 95% confidence interval [CI] [1.03, 4.21]). Further research is needed to better understand how SV history is related to the risk of sustaining a TBI. Healthcare professionals can support patients who experience SV by providing resources to help reduce associated physical and mental health conditions and health-risk behaviors.

We examined associations between mild or asymptomatic prenatal SARS-CoV-2 infection and preterm live birth in a prospective cohort study. During August 2020-October 2021, pregnant persons were followed with systematic surveillance for RT-PCR or serologically confirmed SARS-CoV-2 infection until pregnancy end. The association between prenatal SARS-CoV-2 infection and preterm birth was assessed using Cox proportional-hazards regression. Among 954 pregnant persons with a live birth, 185 (19%) had prenatal SARS-CoV-2 infection and 123 (13%) had preterm birth. The adjusted hazard ratio for the association between SARS-CoV-2 infection and preterm birth was 1.28 (95% confidence interval 0.82-1.99, p = 0.28), although results did not reach statistical significance.

BACKGROUND: Integration of a sensitive point-of-care (POC) HIV viral load (VL) test into screening algorithms may help detect acute HIV infection earlier, identify people with HIV (PWH) who are not virally suppressed, and facilitate earlier referral to antiretroviral therapy (ART), or evaluation for pre-exposure prophylaxis (PrEP). This report describes a randomized clinical trial sponsored by the Centers for Disease Control and Prevention (CDC): "Ending the HIV Epidemic Through Point-of-Care Technologies" (EHPOC). The study's primary aim is to evaluate the use of a POC HIV VL test as part of a testing approach and assess the impact on time to linkage to ART or PrEP. The study will recruit people in Baltimore, Maryland, including patients attending a hospital emergency department, patients attending an infectious disease clinic, and people recruited via community outreach. The secondary aim is to evaluate the performance characteristics of two rapid HIV antibody tests approved by the United States Food and Drug Administration (FDA). METHODS: The study will recruit people 18 years or older who have risk factors for HIV acquisition and are not on PrEP, or PWH who are not taking ART. Participants will be randomly assigned to either the control arm or the intervention arm. Participants randomized to the control arm will only receive the standard-of-care (SOC) HIV screening tests. Intervention arm participants will receive a POC HIV VL test in addition to the SOC HIV diagnostic screening tests. Follow up will consist of an interim phone survey conducted at week-4 and an in-person week-12 visit. Demographic and behavioral information, and oral fluid and blood specimens will be collected at enrollment and at week-12. Survey data will be captured in a Research Electronic Data Capture (REDCap) database. Participants in both arms will be referred for either ART or PrEP based on their HIV test results. DISCUSSION: The EHPOC trial will explore a novel HIV diagnostic technology that can be performed at the POC and provide viral assessment. The study may help inform HIV testing algorithms and contribute to the evidence to support same day ART and PrEP recommendations. TRIAL REGISTRATION: NIH ClinicalTrials.gov NCT04793750. Date: 11 March 2021.

Objective Evaluate pregnant women’s attitudes toward COVID-19 illness and vaccination and identify factors associated with vaccine acceptability.Study Design Cross-sectional survey among pregnant women enrolled in a prospective COVID-19 cohort study in Salt Lake City, UT, Birmingham, AL, and New York, NY, August 9– December 10, 2020. Women were eligible if they were 18-50 years old and <28 weeks of gestation. Upon enrollment, women completed surveys regarding concerns about COVID-19 illness and likelihood of getting COVID-19 vaccine if one were available during pregnancy. Vaccine acceptability was defined as a response of “very likely” or “somewhat likely” on a 4-point Likert scale. Factors associated with vaccine acceptability were assessed with multivariable logistic regression.Results Of 939 pregnant women eligible for the main cohort study, 915 (97%) consented to participate. Among these 915 women, 39% self-identified as White, 23% Black, 33% Hispanic, and 4% Other. Sixty-two percent received an influenza vaccine last season. Seventy-two percent worried about getting sick with COVID-19. If they were to get sick, 92% worried about harm to their pregnancy and 80% about harm to themselves. Only 41% reported they would get a vaccine. Of women who were unlikely to get vaccinated, the most frequently cited concern was vaccine safety for their pregnancy (82%). Non-Hispanic Black and Hispanic women had lower odds of accepting a vaccine compared with non-Hispanic White women (adjusted odds ratios (aOR) 0.4, 95%CI 0.2–0.6 for both). Receipt of influenza vaccine during the previous season was associated with higher odds of vaccine acceptability (aOR 2.1, 95%CI 1.5-3.0).Conclusion Although most pregnant women worried about COVID-19 illness, <50% were willing to get vaccinated during pregnancy. Racial and ethnic disparities in plans to accept COVID-19 vaccine highlight the need to prioritize strategies to address perceived barriers among groups at high risk for COVID-19.Competing Interest StatementAll authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no support from any organization for the submitted work; author CGB has an unrestricted grant from SMFM/AMAG to study prematurity.Funding StatementFunding: This study was funded by the US Centers for Disease Control and Prevention through Contract # 75D30120C08150 with Abt Associates.Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:Centralized Institutional Review Board approval was obtained (IRB-AAAT1906), and informed consent was obtained from all participants. The Columbia University Medical Center IRB served as the centralized IRB for this study.All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesData will automatically be sequestered by site.

OBJECTIVE: American football is associated with the largest number of emergency department visits for pediatric sports-related traumatic brain injury, including concussions. Tackling is responsible for almost two-thirds of football concussions. Some have recommended implementing age restrictions on tackling in youth football. It is unclear whether the public would support such restrictions and what factors may drive support. DESIGN: Cross-sectional. SETTING AND PARTICIPANTS: Data were collected from 4,053 adults in the summer wave of Porter Novelli's 2020 U.S. Consumer Styles survey. MAIN MEASURES: Respondents answered questions about when is a good age to start tackle football, past football playing history, concerns about safety, and the benefits and risks of playing football. RESULTS: Most respondents believed that middle (32.8%) or high school (27.8%) was a good age to start playing tackle football. About one in five (19.8%) respondents reported children should never play tackle football. Certain groups of individuals were more likely to support having children start to play tackle football at high school age or above or to say that children should never play tackle football, including those with a bachelor's degree or more (rate ratio [RR]HS+ = 1.41, 95% confidence interval [CI]=1.14-1.76; RRNEVER = 2.70, 95% CI = 1.93-3.78), those who did not have children under 18 (RRHS+ = 1.54, 95% CI = 1.26-1.90; RRNEVER = 1.54, 95% CI = 1.14-2.07), those who were not football fans (RRNEVER = 3.07, 95% CI - 2.32-4.06), and those who were very (RRHS+ = 3.94, 95% CI = 2.87-5.42; RRNEVER = 11.52, 95% CI = 7.32-18.15) or somewhat concerned (RRHS+ = 1.88, 95% CI = 1.41-2.52) about kids' safety. CONCLUSION: Despite acknowledging benefits of playing football, many adults expressed concern about safety and endorsed high school age and older or never as a good age to start playing tackle football, highlighting a disconnect with current football program practices regarding age.

BACKGROUND: Traumatic brain injury (TBI) is a leading cause of homicide-related death in the United States. Penetrating TBI associated with firearms is a unique injury with an exceptionally high mortality rate that requires specialized neurocritical trauma care. OBJECTIVE: To report incidence patterns of firearm-related and nonfirearm-related TBI homicides in the United States between 2000 and 2019 by demographic characteristics to provide foundational data for prevention and treatment strategies. METHODS: Data were obtained from multiple cause of death records from the National Vital Statistics System using Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database for the years 2000 to 2019. Number, age-adjusted rates, and percent of firearm and nonfirearm-related TBI homicides by demographic characteristics were calculated. Temporal trends were also evaluated. RESULTS: During the study period, there were 77 602 firearm-related TBI homicides. Firearms were involved in the majority (68%) of all TBI homicides. Overall, men, people living in metro areas, and non-Hispanic Black persons had higher rates of firearm-related TBI homicides. The rate of nonfirearm-related TBI homicides declined by 40%, whereas the rate of firearm-related TBI homicides only declined by 3% during the study period. There was a notable increase in the rate of firearm-related TBI homicides from 2012/2013 through 2019 for women (20%) and nonmetro residents (39%). CONCLUSION: Firearm-related violence is an important public health problem and is associated with the majority of TBI homicide deaths in the United States. The findings from this study may be used to inform prevention and guide further research to improve treatment strategies directed at reducing TBI homicides involving firearms.

Background: Pregnant individuals are at increased risk of coronavirus disease 2019 (COVID-19) hospitalization and death, and primary and booster COVID-19 vaccination is recommended for this population. Method(s): Among a cohort of pregnant individuals who received prenatal care at 3 healthcare systems in the United States, we estimated the cumulative incidence of hospitalization with symptomatic COVID-19 illness. We also identified factors associated with COVID-19 hospitalization using a multivariable Cox proportional hazards model with pregnancy weeks as the timescale and a time-varying adjustor that accounted for severe acute respiratory syndrome coronavirus 2 circulation; model covariates included site, age, race, ethnicity, insurance status, prepregnancy weight status, and selected underlying medical conditions. Data were collected primarily through medical record extraction. Result(s): Among 19 456 pregnant individuals with an estimated due date during 1 March 2020-28 February 2021, 75 (0.4%) were hospitalized with symptomatic COVID-19. Factors associated with hospitalization for symptomatic COVID-19 were Hispanic ethnicity (adjusted hazard ratio [aHR], 2.7 [95% confidence interval {CI}, 1.3-5.5]), Native Hawaiian or Pacific Islander race (aHR, 12 [95% CI, 3.2-45.5]), age <25 years (aHR, 3.1 [95% CI, 1.3-7.6]), prepregnancy obesity (aHR, 2.1 [95% CI, 1.1-3.9]), diagnosis of a metabolic disorder (aHR, 2.2 [95% CI, 1.2-3.8]), lung disease excluding asthma (aHR, 49 [95% CI, 28-84]), and cardiovascular disease (aHR, 2.6 [95% CI, 1.5-4.7]). Conclusion(s): Although hospitalization with symptomatic COVID-19 was uncommon, pregnant individuals should be aware of risk factors associated with severe illness when considering COVID-19 vaccination. Copyright © 2022 Published by Oxford University Press on behalf of Infectious Diseases Society of America. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Introduction: Research shows that a mild traumatic brain injury (mTBI) impairs a person's ability to identify driving hazards 24 h post injury and increases the risk for motor vehicle crash. This study examined the percentage of people who reported driving after their most serious mTBI and whether healthcare provider education influenced this behavior. Methods: Self-reported data were collected from 4,082 adult respondents in the summer wave of Porter Novelli's 2021 ConsumerStyles survey. Respondents with a driver's license were asked whether they drove right after their most serious mTBI, how safe they felt driving, and whether a doctor or nurse talked to them about when it was ok to drive after their injury. Results: About one in five (18.8 %) respondents reported sustaining an mTBI in their lifetime. Twenty-two percent (22.3 %) of those with a driver's license at the time of their most serious mTBI drove within 24 h, and 20 % felt very or somewhat unsafe doing so. About 19 % of drivers reported that a doctor or nurse talked to them about when it was safe to return to driving. Those who had a healthcare provider talk to them about driving were 66 % less likely to drive a car within 24 h of their most serious mTBI (APR = 0.34, 95 % CI: 0.20, 0.60) compared to those who did not speak to a healthcare provider about driving. Conclusions: Increasing the number of healthcare providers who discuss safe driving practices after a mTBI may reduce acute post-mTBI driving. Practical Applications: Inclusion of information in patient discharge instructions and prompts for healthcare providers in electronic medical records may help encourage conversations about post-mTBI driving. © 2023

During 2010-2019, U.S. correctional authorities held 1.4-1.6 million persons in state and federal prisons annually, and 10.3-12.9 million persons were admitted to local jails each year (1,2). Incarcerated persons experience a disproportionate burden of negative health outcomes, including unintentional and violence-related injuries (3,4). No national studies on injury-related emergency department (ED) visits by incarcerated persons have been conducted, but a previous study demonstrated a high rate of such visits among a Seattle, Washington jail population (5). To examine nonfatal injury-related ED visits among incarcerated adults, CDC analyzed 2010-2019 National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) data. During 2010-2019, an estimated 733,547 ED visits by incarcerated adults occurred in the United States. The proportion of ED visits resulting from assault* and self-harm among incarcerated adults was five times as high as those among nonincarcerated adults. Among incarcerated adults, men and adult persons aged <65 years had the highest proportion of assault-related ED visits. Falls accounted for the most ED visits among incarcerated adults aged ≥65 years. A higher proportion of ED visits by incarcerated women than incarcerated men were for overdose or poisoning. These findings suggest that injuries among incarcerated adults differ from those among nonincarcerated adults and might require development and implementation of age- and sex-specific prevention strategies for this population.

INTRODUCTION: The reliability of self-reported brain injury data relies on how well people interpret the questions. OBJECTIVE: This study examines how different yet commonly used questions may impact traumatic brain injury (TBI) estimates. METHODS: Self-report data were collected from 4,053 respondents in the summer wave of Porter Novelli's 2020 ConsumerStyles survey. Respondents were randomized to be asked about lifetime experience of either concussion or mild TBI (mTBI) and then asked follow-up questions. RESULTS: Approximately 25.5% of respondents reported sustaining a concussion in their lifetime while 17.2% reported an mTBI. The circumstances of the injuries, such as location and mechanism of injury, were similar. A greater percentage of individuals who were asked about concussions (91.1%) reported receiving a diagnosis for their most serious injury compared to those who were asked about diagnosis of an mTBI (69.9%). DISCUSSION: A greater percentage of respondents reported a lifetime history of concussion than mTBI. More respondents with a lifetime history of concussion reported receiving a diagnosis. These results suggest that the terminology used can impact reporting. These findings suggest that there is a meaningful difference in the understanding of the terms 'concussion' and 'mild TBI,' with people perceiving mTBI as a more serious injury.

Coaches play an important role in concussion safety and their views on concussion influence those of their athletes and athletes' reporting behaviors. This 2021 survey of youth examined how often coaches provide concussion safety information to their athletes and the association between the presence of athletic trainers (ATs) at a team's games and practices and coaches' provision of concussion information to athletes. More than 4 in 10 youth who played sports reported that their coaches did not provide any sort of concussion education/information to them in the past 12 months. Among those youth who always/sometimes had ATs at practices or games, 76.3% received some type of coach education on concussion in the past 12 months, compared to 31.9% of those who rarely/never had ATs at practices or games (p<0.0001). Increasing access to ATs and adapting current concussion trainings and educational materials for coaches to increase coach-athlete communication may be beneficial.

OBJECTIVE: Adverse childhood experiences (ACEs) are associated with increased risk of sustaining a traumatic brain injury (TBI). Alcohol use may play an important role in this relationship. This study examines whether binge drinking mediates the relationship between four ACEs and TBIs sustained in adulthood. METHODS: Using the National Longitudinal Survey of Youth, 1979 cohort, we conducted longitudinal mediation analyses (n=6317). Interviews occurred annually from 1979 to 1994 and biennially until 2016. We evaluated the direct and indirect effects of individual ACEs (ie, experiencing physical violence, low parental warmth, familial alcoholism and familial mental illness; reported retrospectively) and a cumulative ACEs score on mean level of binge drinking (calculated across waves) and having a TBI in adulthood. To establish temporality, we included binge drinking that was measured at age 18 or older and before any reported TBI. RESULTS: Cumulative ACEs, familial alcoholism and physical abuse exposure were significantly associated with having a TBI through binge drinking, although this only explained a small part of the association between ACEs and TBI. Other ACEs were not significantly associated with binge drinking or TBI. CONCLUSION: The results indicate that while ACEs and adult TBI risk were significantly associated, lifetime binge drinking explains only a small part of the association. Future research could examine alternative social, biological and behavioural mechanisms along the pathway between ACEs and TBI. Determining this mechanism will allow public health practitioners to design and implement effective TBI prevention programmes for those at higher risk of injury due to ACE exposure.

Influenza testing and case-confirmation rates in pregnant populations have not been reported during the coronavirus disease 2019 (COVID-19) pandemic. Using electronic medical record data from a cohort of nearly 20,000 pregnancies in the United States, this retrospective cohort study examines the frequency of acute respiratory or febrile illness encounters, influenza testing, and influenza positivity during the 2020-2021 influenza season, which occurred during the COVID-19 pandemic, compared with the 2019-2020 influenza season, which largely did not. The ratios of influenza tests to acute respiratory or febrile illness visits were similar in the 2019-2020 and 2020-2021 influenza seasons (approximately 1:8 and 1:9, respectively) but were low and varied by study site. Although influenza testing in pregnant patients continued in the 2020-2021 season, when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) circulation was widespread in the United States, no cases of influenza were identified in our study cohort.

BACKGROUND: Return to learn (RTL) after mild traumatic brain injury (mTBI) presents unique challenges for school professionals. A multidisciplinary team approach is necessary yet training school professionals is logistically difficult. This paper describes an innovative pilot RTL program and its evaluation. METHODS: Utilizing the telehealth/telementoring program Project ECHO® (Extension for Community Healthcare Outcomes), this study utilized a multidisciplinary team of subject matter experts to deliver five 1-hour sessions across 5 cohorts of school-based professionals (total of 133 participants). The evaluation used a mixed-methods approach of post-session and post-program participant surveys and post-program participant focus groups. RESULTS: Participants who completed a post-program survey reported statistically significant improvements in essential aspects of RTL knowledge and self-efficacy. This included improvements in how to manage a student with an mTBI (44.8% to 86.9%), benefits of early return to school for students following mTBI (31.8% to 86.9%), and the importance of written RTL policies/procedures (55.1% to 97.1%). CONCLUSIONS: This study demonstrates that RTL training via a telementoring approach may be a positive and effective way to train school-based professionals and improve knowledge and self-efficacy, especially when attending face-to-face trainings are difficult. This model has the potential to produce programmatic and systematic improvements for RTL education. © 2022 The Authors. Journal of School Health published by Wiley Periodicals LLC on behalf of American School Health Association.

OBJECTIVE: Depression is common in individuals with chronic cutaneous lupus erythematosus (CCLE). However, how CCLE may impact patients' psychological well-being is poorly understood, particularly among disproportionally affected populations. We examined the relationships between depression and psychosocial factors in a cohort of predominantly Black patients with primary CCLE (CCLE without systemic manifestations). METHODS: Cross-sectional assessment of individuals with dermatologist-validated diagnosis of primary CCLE. NIH-PROMIS short-forms were used to measure depression, disease-related stigma, social isolation and emotional support. Linear regression analyses (=0.05) were used to test an a priori conceptual model of the relationship between stigma and depression and the effect of social isolation and emotional support on that association. RESULTS: Among 121 participants (87.6%women; 85.1% Black), 37 (30.6%) reported moderate to severe depression. Distributions of examined variables divided equally among those which did (eg, work status, stigma (more), social isolation (more), emotional support (less)) and did not (eg, age, sex, race, marital status) significantly differ by depression. Stigma was significantly associated with depression (b=0.77; 95% CI0.65 to 0.90), whereas social isolation was associated with both stigma (b=0.85; 95% CI 0.72 to 0.97) and depression (b=0.70; 95% CI0.58 to 0.92). After controlling for confounders, stigma remained associated with depression (b=0.44; 95% CI0.23 to 0.66) but lost significance (b=0.12; 95% CI -0.14 to 0.39) when social isolation (b=0.40; 95% CI 0.19 to 0.62) was added to the model. Social isolation explained 72% of the total effect of stigma on depression. Emotional support was inversely associated with depression in the univariate analysis; however, no buffer effect was found when it was added to the multivariate model. CONCLUSION: Our findings emphasise the psychosocial challenges faced by individuals living with primary CCLE. The path analysis suggests that stigmatisation and social isolation might lead to depressive symptoms. Early clinical identification of social isolation and public education demystifying CCLE could help reduce depression in patients with CCLE.

BACKGROUND: Identifying SARS-CoV-2 infections during peripartum hospitalizations is important to guide care, implement prevention measures, and understand infection burden. METHODS: This cross-sectional analysis used electronic health record data from hospitalizations during which pregnancies ended (peripartum hospitalizations) among a cohort of pregnant persons at 3 U.S. integrated healthcare networks (Sites 1-3). Maternal demographic, medical encounter, SARS-CoV-2 testing, and pregnancy and neonatal outcome information was extracted for persons with estimated delivery and pregnancy end dates during March 2020-February 2021 and ≥1 prenatal care record. Site-stratified multivariable logistic regression was used to identify factors associated with testing and compare pregnancy and neonatal outcomes among persons tested. RESULTS: Among 17,858 pregnant persons, 10,863 (60.8%) had peripartum SARS-CoV-2 testing; 222/10,683 (2.0%) had positive results. Testing prevalence varied by site and was lower during March-May 2020. Factors associated with higher peripartum SARS-CoV-2 testing odds were Asian race (adjusted odds ratio [aOR]: 1.36; 95% CI: 1.03-1.79; referent: White) (Site 1), Hispanic or Latina ethnicity (aOR: 1.33; 95% CI: 1.08-1.64) (Site 2), peripartum Medicaid coverage (aOR: 1.33; 95% CI: 1.06-1.66) (Site 1), and preterm hospitalization (aOR: 1.69; 95% CI: 1.19-2.39 [Site 1]; aOR: 1.39; 95% CI: 1.03-1.88 [Site 2]). CONCLUSIONS: Findings highlight potential disparities in SARS-CoV-2 peripartum testing by demographic and pregnancy characteristics. Testing practice variations should be considered when interpreting studies relying on convenience samples of pregnant persons testing positive for SARS-CoV-2. Efforts to address testing differences between groups could improve equitable testing practices and care for pregnant persons with SARS-CoV-2 infections.

INTRODUCTION: There is some evidence to suggest that Americans living in rural areas are at increased risk for sustaining a traumatic brain injury (TBI) compared to those living in urban areas. In addition, once a TBI has been sustained, rural residents have worse outcomes, including a higher risk of death. Individuals living in rural areas tend to live farther from hospitals and have less access to TBI specialists. Aside from these factors, little is known what challenges healthcare providers practicing in rural areas face in diagnosing and managing TBI in their patients and what can be done to overcome these challenges. METHODS: Seven focus groups and one individual interview were conducted with a total of 18 healthcare providers who mostly practiced in primary care or emergency department settings in rural areas. Providers were asked about common mechanisms of TBI in patients that they treat, challenges they face in initial and follow-up care, and opportunities for improvement in their practice. RESULTS: The rural healthcare providers reported that common mechanisms of injury included sports-related injuries for their pediatric and adolescent patients and work-related accidents, motor vehicle crashes, and falls among their adult patients. Most providers felt prepared to diagnose and manage their patients with TBI, but acknowledged a series of challenges they face, including pushback from parents, athletes, and coaches and lack of specialists to whom they could refer. They also noted that patients had their own barriers to overcome for timely and adequate care, including lack of access to transportation, difficulties with cost and insurance, and denial about the seriousness of the injury. Despite these challenges, the focus group participants also outlined benefits to practicing in a rural area and several ways that their practice could improve with support. CONCLUSION: Rural healthcare providers may be comfortable diagnosing, treating, and managing their patients who present with a suspected TBI, but they also face many challenges in their practice. In this study it was continually noted that there was lack of resources and a lack of awareness, or recognition of the seriousness of TBI, among the providers' patient populations. Education about common symptoms and the need for evaluation after an injury is needed. The use of telemedicine, an increasingly common technology, may help close some gaps in access to services. People living in rural areas may be at increased risk for TBI. Healthcare providers who work in these areas face many challenges but have found ways to successfully manage the treatment of this injury in their patients.

Respiratory specimen collection materials shortages hampers severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing. We compared specimen alternatives and evaluated SARS-CoV-2 RNA stability under simulated shipping conditions. We compared concordance of RT-PCR detection of SARS-CoV-2 from flocked midturbinate swabs (MTS) in viral transport media (VTM), foam MTS without VTM, and saliva. Specimens were collected between August 2020 and April 2021 from three prospective cohorts. We compared RT-PCR cycle quantification (C(q)) for Spike (S), Nucleocapsid (N), and the Open Reading Frame 1ab (ORF) genes for flocked MTS and saliva specimens tested before and after exposure to a range of storage temperatures (4-30C) and times (2, 3, and 7days). Of 1,900 illnesses with 2 specimen types tested, 335 (18%) had SARS-CoV-2 detected in 1 specimen; 304 (91%) were concordant across specimen types. Among illnesses with SARS-CoV-2 detection, 97% (95% confidence interval [CI]: 94-98%) were positive on flocked MTS, 99% (95% CI: 97-100%) on saliva, and 89% (95% CI: 84-93%) on foam MTS. SARS-CoV-2 RNA was detected in flocked MTS and saliva stored up to 30C for 7days. All specimen types provided highly concordant SARS-CoV-2 results. These findings support a range of viable options for specimen types, collection, and transport methods that may facilitate SARS-CoV-2 testing during supply and personnel shortages. IMPORTANCE Findings from this analysis indicate that (1) self-collection of flocked and foam MTS and saliva samples is feasible in both adults and children, (2) foam MTS with VTM and saliva are both viable and reasonable alternatives to traditional flocked MTS in VTM for SARS-CoV-2 detection, and (3) these sample types may be stored and transported at ambient temperatures for up to 7days without compromising sample quality. These findings support methods of sample collection for SARS-CoV-2 detection that may facilitate widespread community testing in the setting of supply and personnel shortages during the current pandemic.

BACKGROUND Evidence suggests that those who have sustained a traumatic brain injury (TBI) are at increased risk of adverse behaviors and health indicators, such as certain chronic physical and mental health conditions. However, little is known about the prevalence of these behaviors and health indicators among these individuals, information that could help decrease their risk of developing such conditions.METHODS Data (N = 4733) from the 2018 North Carolina Behavioral Risk Factor Surveillance System (BRFSS) were analyzed to determine the prevalence of behaviors and health indicators among individuals who report having a lifetime history of TBI with loss of consciousness (LOC).RESULTS North Carolinians who report a lifetime history of TBI with LOC were at increased risk of reporting a range of 3 negative health behaviors: less than always seatbelt use (adjusted odds ratio [AOR] = 1.7; 95% confidence interval [CI] = 1.2-2.4), HIV risk behaviors (AOR = 1.7; 95% CI = 1.1-2.6), and reporting less than 7 hours of sleep (AOR = 1.5; 95% CI = 1.2-1.8); more difficulty obtaining health care (not seeing a doctor due to health care cost in the past 12 months [AOR = 1.3; 95% CI = 1.0-1.8]; not getting a routine medical check-up in the past 12 months [AOR = 1.5; 95% CI = 1.2-2.0]); worse self-reported health (fair or poor general health [AOR = 1.8; 95% CI = 1.4-2.3]); and reporting fair or poor mental health (AOR = 2.1; 95% CI = 1.6-2.8) compared with individuals who did not report a history of TBI.LIMITATIONS There are several limitations to the study, such as the sample being biased toward more severe brain injuries. Additionally, because the data in the BRFSS are retrospective and cross-sectional, it is not possible to determine temporality and causality between TBI history and the behaviors and health indicators examined.CONCLUSION Despite these limitations, this paper is one of the first to directly examine the association between history of TBI with LOC and a range of current behaviors and health care utilization. Assessing positive and negative behaviors and health indicators can help identify and tailor evidence-based interventions for those who have a history of TBI.

BACKGROUND: Compared with civilians, service members and veterans who have a history of traumatic brain injury (TBI) are more likely to experience poorer physical and mental health. To investigate this further, this article examines the association between self-reported history of TBI with loss of consciousness and living with 1 or more current disabilities (ie, serious difficulty with hearing, vision, cognition, or mobility; any difficulty with self-care or independent living) for both veterans and nonveterans. METHODS: A cross-sectional study using data from the North Carolina Behavioral Risk Factor Surveillance System for 4733 veterans and nonveterans aged 18 years and older. RESULTS: Approximately 34.7% of veterans residing in North Carolina reported having a lifetime history of TBI compared with 23.6% of nonveterans. Veterans reporting a lifetime history of TBI had a 1.4 times greater risk of also reporting living with a current disability (adjusted prevalence ratio = 1.4; 95% confidence interval, 1.2-1.8) compared with nonveterans. The most common types of disabilities reported were mobility, cognitive, and hearing. CONCLUSIONS: Compared with nonveterans, veterans who reported a lifetime history of TBI had an increased risk of reporting a current disability. Future studies, such as longitudinal studies, may further explore this to inform the development of interventions.

OBJECTIVE: The objective of this study was to compare individuals who were not evaluated by a doctor or nurse for a self-reported concussion versus individuals who were evaluated for a concussion by demographic variables, concussion history, and concussion circumstances. SETTINGS AND PARTICIPANTS: Data were collected from 2018 SpringStyles, a web-based panel survey of US adults 18 years or older (n = 6427), fielded in March-April. DESIGN: Cross-sectional. MAIN MEASURES: Respondents were asked whether they believed they had sustained a concussion in their lifetime and details about their most recent concussion, including whether they were evaluated by a doctor or nurse. RESULTS: Twenty-seven percent of adults in the survey reported a lifetime concussion (n = 1835). Among those individuals, 50.4% were not evaluated by a healthcare provider for their most recent concussion. Not being evaluated was higher among individuals whose concussion was caused by a slip, trip, or fall (adjusted prevalence ratio [APR] = 2.22; 95% CI, 1.65-2.99), riding a bicycle (APR = 2.28; 95% CI, 1.58-3.27), being struck by or against something by accident (APR = 2.50; 95% CI, 1.88-3.34), or being struck by or against something during a fight or argument (APR = 2.89; 95% CI, 2.11-3.97), compared with individuals whose concussion was caused by a motor vehicle crash. No evaluation was also higher among individuals whose concussion occurred while engaging in a sports or recreational activity (APR = 1.39; 95% CI, 1.07-1.82) or engaging in regular activities around the house (APR = 1.65; 95% CI, 1.27-2.14), compared with individuals whose concussion occurred while working for pay. CONCLUSION: More than a quarter of adults reported a lifetime concussion; however, half of them were not evaluated for their last concussion by a healthcare provider. Examination by a healthcare professional for a suspected concussion may prevent or mitigate potential long-term sequelae. Furthermore, current US surveillance methods may underestimate the burden of TBI because many individuals do not seek evaluation.

BACKGROUND: To inform prevention strategies, this study provides incidence, factors, and actions taken when a suspected concussion occurred in K-12 schools in Utah. METHODS: Data were collected using Utah's Student Injury Reporting System (SIRS) from the academic years 2011-2012 to 2018-2019. SIRS is a unique online system that tracks injuries that occur in the school setting among K-12 students in Utah. Descriptive statistics were computed to characterize students with a suspected concussion. Chi-square (χ(2) ) analysis looking at characteristics by school level was also conducted. RESULTS: Over 63,000 K-12 students in Utah sustained an injury at school during the study period. Suspected concussions comprised 10% of all injuries. The prevalence of concussions was highest among males (60.6%) and elementary school students (42.6%) and most often occurred outdoors (57.6%) or on a playground/playfield (33.9%), and in sports- and recreation-related activities (75.1%) (specifically contact sports, 24.0%). Most students with a suspected concussion were absent 1 day or less from school (71.4%) but about 68% were seen by a medical professional. Further, there were differences by school level. Females and students playing contact sports had a higher percentage of suspected concussions as school level increased, whereas males and concussions sustained during school hours had a lower percentage of suspected concussions as school level increased. CONCLUSIONS: SIRS enables schools in Utah to identify groups at risk for concussion, as well as activities most commonly associated with these injuries, within the school environment. Using this information, schools may implement targeted prevention strategies to protect students.

STUDY OBJECTIVE: A better understanding of differences in traumatic brain injury incidence by geography may help inform resource needs for local communities. This paper presents estimates on traumatic brain injury-related hospitalizations and deaths by urban and rural county of residence. METHODS: To estimate the incidence of traumatic brain injury-related hospitalizations, data from the 2017 Healthcare Cost and Utilization Project's National Inpatient Sample were analyzed (n=295,760). To estimate the incidence of traumatic brain injury-related deaths, the Centers for Disease Control and Prevention's National Vital Statistics System multiple-cause-of-death files were analyzed (n=61,134). Datasets were stratified by residence, sex, principal mechanism of injury, and age group. Traumatic brain injury-related hospitalizations were also stratified by insurance status and hospital location. RESULTS: The rate of traumatic brain injury-related hospitalizations was significantly higher among urban (70.1 per 100,000 population) than rural residents (61.0), whereas the rate of traumatic brain injury-related deaths was significantly higher among rural (27.5) than urban residents (17.4). These patterns held for both sexes, individuals age 55 and older, and within the leading mechanisms of injury (ie, suicide, unintentional falls). Among patients with Medicare or Medicaid, the rate of traumatic brain injury-related hospitalizations was higher among urban residents; there was no urban/rural difference with other types of insurance. Nearly all (99.6%) urban residents who were hospitalized for a traumatic brain injury received care in an urban hospital. Additionally, approximately 80.3% of rural residents were hospitalized in an urban hospital. CONCLUSION: Urban residents had a higher rate of traumatic brain injury-related hospitalizations, whereas rural residents had a higher rate of traumatic brain injury-related deaths. This disparity deserves further study using additional databases that assess differences in mechanisms of injury and strategies to improve access to emergency care among rural residents.

Traumatic brain injuries (TBIs) have contributed to approximately one million deaths in the United States over the last 2 decades (1). CDC analyzed National Vital Statistics System (NVSS) mortality data for a 3-year period (2016-2018) to examine numbers and rates of TBI-related deaths, the percentage difference between each state's rate and the overall U.S. TBI-related death rate, leading causes of TBI, and the association between TBI and a state's level of rurality. During 2016-2018, a total of 181,227 TBI-related deaths (17.3 per 100,000 population per year) occurred in the United States. The percentage difference between state TBI-related death rates and the overall U.S. rate during this period ranged from 46.2% below to 101.2% above the overall rate. By state, the lowest rate was in New Jersey (9.3 per 100,000 population per year); the states with the highest rates were Alaska (34.8), Wyoming (32.6), and Montana (29.5). States in the South and those with a higher proportion of residents living in rural areas had higher rates, whereas states in the Northeast and those with a lower proportion of residents living in rural areas had lower TBI-related death rates. In 43 states, suicide was the leading cause of TBI-related deaths; in other states, unintentional falls or unintentional motor vehicle crashes were responsible for the highest numbers and rates of TBI-related deaths. Consistent with previous studies (2), differences in TBI incidence and outcomes were observed across U.S. states; therefore, states can use these findings to develop and implement evidence-based prevention strategies, based on their leading causes of TBI-related deaths. Expanding evidence-based prevention strategies that address TBI-related deaths is warranted, especially among states with high rates due to suicide, unintentional falls, and motor vehicle crashes.