Introduction: Drowning is the cause of approximately 4,000 U.S. deaths each year and disproportionately affects some age, racial, and ethnic groups. Infrastructure disruptions during the COVID-19 pandemic, including limited access to supervised swimming settings, might have affected drowning rates and risk. Data on factors that contribute to drowning risk are limited. To assess the potential impact of the pandemic on drowning death rates, pre- and post-COVID-19 pandemic rates were compared. Methods: National Vital Statistics System data were used to compare unintentional drowning death rates in 2019 (pre- COVID-19 pandemic onset) with those in 2020, 2021, and 2022 (post-pandemic onset) by age, sex, and race and ethnicity. National probability-based online panel survey (National Center for Health Statistics Rapid Surveys System) data from October-November 2023 were used to describe adults' self-reported swimming skill, swimming lesson participation, and exposure to recreational water. Results: Unintentional drowning death rates were significantly higher during 2020, 2021, and 2022 compared with those in 2019. In all years, rates were highest among children aged 1-4 years; significant increases occurred in most age groups. The highest drowning rates were among non-Hispanic American Indian or Alaska Native and non-Hispanic Black or African American persons. Approximately one half (54.7%) of U.S. adults reported never having taken a swimming lesson. Swimming skill and swimming lesson participation differed by age, sex, and race and ethnicity. Conclusions and Implications for Public Health Practice: Recent increases in drowning rates, including those among populations already at high risk, have increased the urgency of implementing prevention strategies. Basic swimming and water safety skills training can reduce the risk for drowning. Addressing social and structural barriers that limit access to this training might reduce drowning deaths and inequities. The U.S. National Water Safety Action Plan provides recommendations and tools for communities and organizations to enhance basic swimming and water safety skills training.

Objective Describe rates of hip fracture-related emergency department (ED) visits, hospitalizations, and deaths among older adults (aged ≥65 years) in the United States. Methods Data from the 2019 Healthcare Cost and Utilization Project and National Vital Statistics System were used to calculate rates of hip fracture-related ED visits, hospitalizations, and deaths among older adults by select characteristics and mechanism of injury. Results In 2019, there were 318,797 ED visits, 290,130 hospitalizations, and 7731 deaths related to hip fractures among older adults. About 88% of ED visits and hospitalizations and approximately 83% of deaths related to hip fractures were caused by falls. Rates were highest among older adults living in rural areas and among those aged ≥85 years. Discussion Most hip fractures among older adults are fall-related. Healthcare providers can prevent falls among their older patients by screening for fall risk, assessing modifiable risk factors, and offering evidence-based interventions.

Introduction: Traumatic brain injury (TBI) affects how the brain functions and remains a prominent cause of death in the United States. Although preventable, anyone can experience a TBI and epidemiological research suggests some groups have worse health outcomes following the injury. Methods: We analyzed 2020 multiple-cause-of-death data from the National Vital Statistics System to describe TBI mortality by geography, sociodemographic characteristics, mechanism of injury (MOI), and injury intent. Deaths were included if they listed an injury International Classification of Diseases, Tenth Revision (ICD-10) underly-ing cause of death code and a TBI-related ICD-10 code in one of the multiple-cause-of-death fields. Results: During 2020, 64,362 TBI-related deaths occurred and age-adjusted rates, per 100,000 population, were highest among persons residing in the South (20.2). Older adults (>= 75) displayed the highest num-ber and rate of TBI-related deaths compared with other age groups and unintentional falls and suicide were the leading external causes among this older age group. The age-adjusted rate of TBI-related deaths in males was more than three times the rate of females (28.3 versus 8.4, respectively); further, males dis-played higher numbers and age-adjusted rates compared with females for all the principal MOIs that con-tributed to a TBI-related death. American Indian or Alaska Native, Non-Hispanic (AI/AN) persons had the highest age-adjusted rate (29.0) of TBI-related deaths when compared with other racial and ethnic groups. Suicide was the leading external cause of injury contributing to a TBI-related death among AI/ AN persons. Practical application: Prevention efforts targeting older adult falls and suicide are warranted to reduce disparities in TBI mortality among older adults and AI/AN persons. Effective strategies are described in CDC's Stopping Elderly Accidents, Deaths, & Injuries (STEADI) initiative to reduce older adult falls and CDC's Preventing Suicide: A Technical Package of Policy, Programs, and Practices for the best available evidence in suicide prevention.(c) 2022 National Safety Council and Elsevier Ltd. All rights reserved.

Background-Administrative data from medical claims are often used for injury surveillance. Effective October 1, 2015, hospitals covered by the Health Insurance Portability and Accountability Act were required to use the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) to report medical information in administrative data. In 2017, the National Center for Health Statistics (NCHS) and the National Center for Injury Prevention and Control (NCIPC) published a proposed ICD-10-CM surveillance case definition for injuryrelated emergency department (ED) visits. At the time, ICD-10-CM coded data were not available for testing. When data became available, NCHS and NCIPC collaborated with the Council of State and Territorial Epidemiologists and epidemiologists from state and local health departments to test and update the proposed definition. This report summarizes the results and presents the 2021 revised ICD-10-CM surveillance case definition.

Falls are a major health concern for older adults with Parkinson's disease (PD). This study was designed to examine differences in falls risk and its relation to changes in the average and variability (i.e. intra-individual variability) of reaction time (RT), finger tapping, standing balance and walking between healthy older adults and persons with PD. Thirty-nine adults with PD (70.0 ± 8.1 years) and 29 healthy older adults (66.8 ± 10.4 years) participated in this study. Falls risk (using the physiological profile assessment), gait, RT, balance and tapping responses were assessed for all persons. Results demonstrated that individuals with PD exhibited a greater risk of falling coupled with a general slowing of motor function covering declines in walking, RT and finger tapping. In addition, the movement responses of the PD group were more variable than the healthy older adults. Correlation results revealed group differences with regards to the neuromotor measures which were significantly correlated with falls risk. For the PD group, gait measures were highly correlated with their falls risk while, for the healthy older adults, falls risk was linked to balance measures even though PD persons had increased sway. Overall, persons with PD were at greater falls risk, moved slower and with increased variability compared to the healthy older adults. Further, while there are some similarities between the two groups in terms of those measures related to falls risk, there were also several differences which highlight that persons with PD can have different risk factors for falling compared to healthy adults of similar age.

Traumatic brain injury (TBI), which can disrupt normal brain function and result in short- and long-term adverse clinical outcomes, including disability and death, is preventable. To describe the 2018 incidence of nonfatal TBI-related hospitalizations in the United States by sociodemographic characteristics, injury intent, and mechanism of injury, CDC analyzed data from the Healthcare Cost and Utilization Project (HCUP) National (Nationwide) Inpatient Sample. During 2018, there were 223,050 nonfatal TBI-related hospitalizations; rates among persons aged ≥75 years were approximately three times higher than those among persons aged 65-74 years, and the age-adjusted rate among males was approximately double that among females. Unintentional falls were the most common mechanism of injury leading to nonfatal TBI-related hospitalization, followed by motor vehicle crashes. Proper and consistent use of recommended restraints (i.e., seatbelts, car seats, and booster seats) and, particularly for persons aged ≥75 years, learning about individual fall risk from health care providers are two steps the public can take to prevent the most common injuries leading to nonfatal TBIs. The findings in this report could be used by public health officials and clinicians to identify priority areas for prevention programs.

OBJECTIVE:To provide state-level traumatic brain injury (TBI)-related emergency department (ED) visit, hospitalization, and death estimates by sex for 2014.SETTING AND PARTICIPANTS:Centers for Disease Control and Prevention's Core Violence and Injury Prevention Program and State Injury Indicators-participating states.DESIGN:Cross-sectional.MAIN MEASURES:Number and rate of TBI-related ED visits, hospitalizations, and deaths (indicators) by sex in over 25 states.RESULTS:Across all states that supplied data, males had higher rates of TBI-related ED visits, hospitalizations, and deaths than females. However, for some indicators, high rates for both sexes and low rates for both sexes appeared clustered in a specific region of the United States. There was also within-state variability in TBI rates by indicator and sex. For example, within-state variability between sexes ranged from as low as 2.8% for ED visits and as high as 335% for deaths.CONCLUSION:TBI-related ED visits, hospitalizations, and deaths varied by state and by sex, and evidence was found for within-state variability in TBI rates by indicator and sex in 2014. Differences in TBI indicators by sex may have important implications for public health professionals implementing TBI prevention and care strategies at the state level.

During 2010-2016, there were an average of 283,000 U.S. emergency department (ED) visits each year among children for sports and recreation-related traumatic brain injuries (SRR-TBIs); approximately 45% of these SRR-TBIs were associated with contact sports (1). Although most children with an SRR-TBI are asymptomatic within 4 weeks, there is growing concern about potential long-term effects on a child's developing brain (2). This has led to calls to reduce the risk for traumatic brain injuries (TBIs) among child athletes, resulting in the introduction of state policies and the institution of safety rules (e.g., age and contact restrictions) for some sports programs. To assess changes in the incidence of ED-related SRR-TBI among children, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) for the period 2001-2018. After more than a decade of increasing rates, the rate of contact sports-related TBI ED visits declined 32% from 2012 to 2018. This reduction was primarily the result of a decline in football-related SRR-TBI ED visits during 2013-2018. Decreased participation in tackle football (3) and implementation of contact limitations (4) were likely contributing factors to this decline. Public health professionals should continue to expand efforts to address SRR-TBIs in football, which is the sport with the highest incidence of TBI, and identify effective prevention strategies for all sports to reduce TBIs among children.

Background-Injury diagnosis frameworks, or matrices, based on the International Classification of Diseases (ICD) provide standardized categories for reporting injuries by body region and nature of injury. In 2016, the National Center for Health Statistics (NCHS) and the National Center for Injury Prevention and Control (NCIPC) published a proposed injury diagnosis matrix for use with data coded using the ICD, 10th Revision, Clinical Modification (ICD-10-CM). At the time the proposed matrix was developed, ICD-10-CM coded data were not available to evaluate the performance of the proposed matrix. As data became available, NCHS and NCIPC received recommendations from clinicians and researchers to improve the consistency and clinical applicability of categorization of codes within the matrix. This report describes the modifications made to the 2016 proposed ICD-10-CM injury diagnosis matrix and presents the final 2020 ICD-10-CM injury diagnosis matrix. Methods-Comments on the 2016 proposed matrix were received from several federal agencies, military health centers, state health departments, researchers, and others. Additionally, subject matter experts from NCHS, NCIPC, the Council of State and Territorial Epidemiologists, and others reviewed code descriptions, coding guidelines, updates to the ICD-10-CM code set, and other materials to identify possible needed changes to the 2016 proposed ICD-10-CM injury diagnosis matrix. Results-Consideration of issues raised by clinicians and researchers and from the internal review resulted in relocation of approximately 3% of the 9,000 codes in the 2016 proposed ICD-10-CM injury diagnosis matrix. These relocations generally involved changes to the assigned nature-of-injury category. Additionally, approximately 200 new injury diagnosis codes not available at the time the 2016 proposed matrix was developed were added to create the final 2020 matrix. Conclusions-The 2020 final ICD-10-CM injury diagnosis matrix provides standard categories for reporting injuries by body region and nature of injury. Use of this tool promotes consistency for comparisons across populations and over time.

Daugherty, Jill PhD; Thomas, Karen MPH; Waltzman, Dana PhD; Sarmiento, Kelly MPH; Haarbauer-Krupa, Juliet PhDEditor(s): Daugherty, Jill MPH, PhD Author Information

Traumatic brain injuries (TBIs), including concussions, are at the forefront of public concern about athletic injuries sustained by children. Caused by an impact to the head or body, a TBI can lead to emotional, physiologic, and cognitive sequelae in children (1). Physiologic factors (such as a child's developing nervous system and thinner cranial bones) might place children at increased risk for TBI (2,3). A previous study demonstrated that 70% of emergency department (ED) visits for sports- and recreation-related TBIs (SRR-TBIs) were among children (4). Because surveillance data can help develop prevention efforts, CDC analyzed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP)* by examining SRR-TBI ED visits during 2010-2016. An average of 283,000 children aged <18 years sought care in EDs each year for SRR-TBIs, with overall rates leveling off in recent years. The highest rates were among males and children aged 10-14 and 15-17 years. TBIs sustained in contact sports accounted for approximately 45% of all SRR-TBI ED visits. Activities associated with the highest number of ED visits were football, bicycling, basketball, playground activities, and soccer. Limiting player-to-player contact and rule changes that reduce risk for collisions are critical to preventing TBI in contact and limited-contact sports. If a TBI does occur, effective diagnosis and management can promote positive health outcomes among children.

Background-External cause-of-injury frameworks, or matrices, based on the International Classification of Diseases (ICD) provide standardized categories for reporting injuries by mechanism and intent of injury. In 2014, the National Center for Health Statistics (NCHS) and the National Center for Injury Prevention and Control (NCIPC) published a proposed external cause-of-injury matrix for use with data coded using the ICD, 10th Revision, Clinical Modification (ICD-10-CM). At the time the proposed matrix was developed, ICD-10-CM coded data were not available to evaluate the performance of the proposed matrix. When data became available, NCHS and NCIPC collaborated with the Council of State and Territorial Epidemiologists and state and local health departments to evaluate the proposed matrix to identify any changes needed before finalization. This report describes the results of that evaluation. Methods-With guidance from NCHS and NCIPC, state and local injury epidemiologists from five jurisdictions analyzed their hospital discharge and emergency department administrative claims data. The epidemiologists applied the ICD-9-CM matrix to ICD-9-CM coded data and the 2014 proposed ICD-10-CM matrix to ICD-10-CM coded data for similar time periods (e.g., January through December). The numbers for each mechanism and intent category in each of the two matrices were calculated and compared, and major differences were explored. Results-Based on the findings, several adjustments were made to the original placement of codes in the 2014 proposed ICD-10-CM external cause-of-injury matrix. These changes involved codes related to Drowning/submersion, Firearm, Motor vehicle-Traffic, Overexertion, and Unspecified mechanisms. In addition, new external cause codes not available at the time the 2014 proposed matrix was developed were added to create the 2019 final matrix. Conclusions-The 2019 final ICD-10-CM external cause-of-injury matrix provides standard categories for reporting injuries by mechanism and intent of injury. Use of this tool promotes consistency for comparisons across populations and over time.

Context: The Center of Disease Control and Prevention's Core State Violence and Injury Prevention Program (Core SVIPP) provides an opportunity for states to engage with their partners to implement, evaluate, and disseminate strategies that lead to the reduction and prevention of injury and violence. Core SVIPP requires awardees to develop or update their state injury and violence plans. Currently, literature informing state planning efforts is limited, especially regarding materials related to injury and violence. Presumably, plans that are higher quality result in having a greater impact on preventing injury and violence, and literature to improve quality would benefit prevention programming. Objective: (1) To create a comprehensive injury-specific index to aid in the development and revision of state injury and violence prevention plans, and (2) to assess the reliability and utility of this index. Design: Through an iterative development process, a workgroup of subject matter experts created the Violence and Injury Prevention: Comprehensive Index Tool (VIP:CIT). The tool was pilot tested on 3 state injury and violence prevention plans and assessed for initial usability. Following revisions to the tool (ie, a rubric was developed to further delineate consistent criteria for rating; items were added and clarified), the same state plans were reassessed to test interrater reliability and tool utility. Results: For the second assessment, reliability of the VIP:CIT improved, indicating that the rubric was a useful addition. Qualitative feedback from states suggested that the tool significantly helped guide plan development and communicate about planning processes. Conclusion: The final VIP:CIT is a tool that can help increase plan quality, decrease the research-to-practice gap, and increase connectivity to emerging public health paradigms. The tool provides an example of tailoring guidance materials to reflect academic literature, and it can be easily adapted to other topic areas to promote quality of strategic plans for numerous outcomes.