ABSTRACT
BACKGROUND: In 2022, suicide ranked as the 11th leading cause of death in the United States with 49,513 deaths. Provisional mortality data from 2022 indicate a 2.8% increase in the number of suicides compared to 2021. This paper examines overall suicide trends, sodium nitrite ingestion as an emerging suicide method, and the role that online forums play in sharing information about suicide methods (including sodium nitrite ingestion). METHODS: Suicides were identified from CDC's National Vital Statistics System (2018-July 2023 provisional) multiple cause-of-death mortality files using International Classification of Diseases (ICD), Tenth Revision underlying cause-of-death codes U03, X60-X84, and Y87.0 and T code T50.6 (antidotes and chelating agents). Google search popularity metrics were captured from January 2019 to January 2023. Case reports of sodium nitrite related suicide and suicide attempts (through February 2024) were identified in the medical and forensic literature. RESULTS: At least 768 suicides involving antidotes and chelating agents (including sodium nitrite) occurred between 2018 and July 2023, set in the context of 268,972 total suicides during that period. Overall, suicides involving antidotes and chelating agents (including sodium nitrite) represent <1% of all suicides, however, numbers are rising. CONCLUSIONS: Suicide methods are known to change over time. These changes can be influenced by, among other factors, online forums and means accessibility, such as internet purchase availability. CDC remains committed to prevention through comprehensive public health strategies that protect individuals, families, and communities. PRACTICAL APPLICATIONS: States and community partners might consider leveraging physicians, emergency responders, and other appropriate crisis response groups to disseminate information on sodium nitrite self-poisoning and its antidote, methylene blue. Efforts should be part of a comprehensive public health approach to suicide prevention.
Subject(s)
Centers for Disease Control and Prevention, U.S. , Sodium Nitrite , Suicide , Humans , United States/epidemiology , Suicide/statistics & numerical data , Sodium Nitrite/poisoning , Male , Adult , Female , Middle Aged , Young Adult , Aged , Adolescent , InternetABSTRACT
Background: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied posts made to an online suicide discussion forum, "Sanctioned Suicide," which is a primary source of information on the use and procurement of SN. Objective: This study aims to determine the trends in SN purchase and use, as obtained via data mining from subscriber posts on the forum. We also aim to determine the substances and topics commonly co-occurring with SN, as well as the geographical distribution of users and sources of SN. Methods: We collected all publicly available from the site's inception in March 2018 to October 2022. Using data-driven methods, including natural language processing and machine learning, we analyzed the trends in SN mentions over time, including the locations of SN consumers and the sources from which SN is procured. We developed a transformer-based source and location classifier to determine the geographical distribution of the sources of SN. Results: Posts pertaining to SN show a rise in popularity, and there were statistically significant correlations between real-life use of SN and suicidal intent when compared to data from the Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (â´=0.727; P<.001) and the National Poison Data System (â´=0.866; P=.001). We observed frequent co-mentions of antiemetics, benzodiazepines, and acid regulators with SN. Our proposed machine learning-based source and location classifier can detect potential sources of SN with an accuracy of 72.92% and showed consumption in the United States and elsewhere. Conclusions: Vital information about SN and other emerging mechanisms of suicide can be obtained from online forums.
Subject(s)
Natural Language Processing , Self-Injurious Behavior , Sodium Nitrite , Humans , Self-Injurious Behavior/epidemiology , Suicide/trends , Suicide/psychology , Adult , Internet , Male , Female , Social Media , Young AdultABSTRACT
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.
Subject(s)
COVID-19 , Drowning , Self Report , Swimming , Humans , Drowning/mortality , Swimming/statistics & numerical data , United States/epidemiology , Male , Adult , Female , Young Adult , Child, Preschool , Adolescent , Child , Middle Aged , Infant , COVID-19/epidemiology , COVID-19/mortality , Aged , RecreationABSTRACT
BACKGROUND: Suicide rates for children and adolescents have been increasing over the past 2 decades. In April 2023, the National Institute of Mental Health (NIMH) convened a two-day workshop to address child and youth suicide. PURPOSE: The workshop focus was to discuss the state of the science and stimulate a collaborative response between researchers, death investigators, and data collection teams to build a science to service and service to science approach toward understanding - and ultimately preventing - this growing problem of child and youth suicide. HIGHLIGHTS: Topics that meeting participants highlighted as worthy of further consideration for research and practice were: increasing awareness among death investigators, medical examiners, and coroners that child suicide deaths under age 10 years do occur and should be investigated and documented accordingly; emphasizing the value of science based protocols for child and youth death investigations to enhance consistency of approaches; and articulating needs for postvention services to suicide loss survivors. OUTCOMES: The importance of collecting an accurate and complete cause and manner of death (i.e., unintentional, suicide, homicide, undetermined) among all child decedents, and demographic information such as race, ethnicity, and sexual/gender minority status was underscored as critical for enhanced surveillance. For prevention efforts, approaches to assessing and understanding suicidal thoughts and behaviors among diverse groups of children, and the variability in proximal and distal risk factors are needed to inform opportunities for preventive interventions for diverse communities. The need for consistent measures and processes to improve death investigations, fatality review committees, and coordination between data collection systems and agencies was also raised. PRACTICAL APPLICATIONS: Collaborations among researchers, death investigators, and data collection teams can help to fully describe the child and youth suicide crisis and provide actionable information for new research, and prevention and response efforts.
Subject(s)
Population Surveillance , Suicide , Child , Humans , Adolescent , Cause of Death , Homicide , EthnicityABSTRACT
Suicide is the third leading cause of death among high school-aged youths aged 14-18 years. The 2021 suicide rate for this age group was 9.0 per 100,000 population. Updating a previous analysis of the Youth Risk Behavior Survey during 2009-2019, this report uses 2019 and 2021 data to examine high school students' reports of suicidal thoughts and behaviors. Prevalence estimates are reported by grade, race and ethnicity, sexual identity, and sex of sexual contacts. Unadjusted logistic regression models were used to calculate prevalence differences comparing 2019 to 2021 and prevalence ratios comparing suicidal behavior between subgroups across demographic characteristics to a referent group. From 2019 to 2021, female students had an increased prevalence of seriously considered attempting suicide (from 24.1% to 30%), an increase in making a suicide plan (from 19.9% to 23.6%), and an increase in suicide attempts (from 11.0% to 13.3%). In addition, from 2019 to 2021, Black or African American (Black), Hispanic or Latino (Hispanic), and White female students had an increased prevalence of seriously considered attempting suicide. In 2021, Black female students had an increased prevalence of suicide attempts and Hispanic female students had an increased prevalence of suicide attempts that required medical treatment compared with White female students. Prevalence of suicidal thoughts and behaviors remained stable overall for male students from 2019 to 2021. A comprehensive approach to suicide prevention with a focus on health equity is needed to address these disparities and reduce prevalence of suicidal thoughts and behaviors for all youths. School and community-based strategies include creating safe and supportive environments, promoting connectedness, teaching coping and problem solving, and gatekeeper training.
Subject(s)
Adolescent Behavior , Suicidal Ideation , Humans , Male , Adolescent , Female , United States/epidemiology , Child , Suicide, Attempted , Risk-Taking , StudentsABSTRACT
BACKGROUND: All data systems used for non-fatal injury surveillance and research have strengths and limitations that influence their utility in understanding non-fatal injury burden. The objective of this paper was to compare characteristics of major data systems that capture non-fatal injuries in the USA. METHODS: By applying specific inclusion criteria (eg, non-fatal and non-occupational) to well-referenced injury data systems, we created a list of commonly used non-fatal injury data systems for this study. Data system characteristics were compiled for 2018: institutional support, years of data available, access, format, sample, sampling method, injury definition/coding, geographical representation, demographic variables, timeliness (lag) and further considerations for analysis. RESULTS: Eighteen data systems ultimately fit the inclusion criteria. Most data systems were supported by a federal institution, produced national estimates and were available starting in 1999 or earlier. Data source and injury case coding varied between the data systems. Redesigns of sampling frameworks and the use of International Classification of Diseases, 9th Revision, Clinical Modification/International Classification of Diseases, 10th Revision, Clinical Modification coding for some data systems can make longitudinal analyses complicated for injury surveillance and research. Few data systems could produce state-level estimates. CONCLUSION: Thoughtful consideration of strengths and limitations should be exercised when selecting a data system to answer injury-related research questions. Comparisons between estimates of various data systems should be interpreted with caution, given fundamental system differences in purpose and population capture. This research provides the scientific community with an updated starting point to assist in matching the data system to surveillance and research questions and can improve the efficiency and quality of injury analyses.
Subject(s)
International Classification of Diseases , Population Surveillance , Humans , United States/epidemiologyABSTRACT
Suicide was among the 10 leading causes of death in the United States in 2020 among persons aged 10-64 years, and the second leading cause of death among children and adolescents aged 10-14 and adults aged 25-34 years (1). During 1999-2020, nearly 840,000 lives were lost to suicide in the United States. During that period, the overall suicide rate peaked in 2018 and declined in 2019 and 2020 (1). Despite the recent decline in the suicide rate, factors such as social isolation, economic decline, family stressors, new or worsening mental health symptoms, and disruptions to work and school associated with the COVID-19 pandemic have raised concerns about suicide risk in the United States. During 2020, a total of 12.2 million U.S. adults reported serious thoughts of suicide and 1.2 million attempted suicide (2). To understand how changes in suicide death rates might have varied among subpopulations, CDC analyzed counts and age-adjusted suicide rates during 2019 and 2020 by demographic characteristics, mechanism of injury, county urbanization level, and state. From 2019 to 2020, the suicide rate declined by 3% overall, including 8% among females and 2% among males. Significant declines occurred in seven states but remained stable in the other states and the District of Columbia. Despite two consecutive years of declines, the overall suicide rate remains 30% higher compared with that in 2000 (1). A comprehensive approach to suicide prevention that uses data driven decision-making and implements prevention strategies with the best available evidence, especially among disproportionately affected populations (3), is critical to realizing further declines in suicide and reaching the national goal of reducing the suicide rate by 20% by 2025 (4).
Subject(s)
Suicide/statistics & numerical data , Suicide/trends , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Child , Ethnicity/statistics & numerical data , Female , Humans , Male , Middle Aged , Population Surveillance , Sex Distribution , United States/epidemiology , Urbanization , Young AdultABSTRACT
Background: Drug overdose deaths among U.S. women have risen steadily from 1999 to 2017, especially among certain ages. Various studies report involvement of drugs and drug classes in overdose deaths. Less is known, however, regarding the combinations that are most often indicated on death certificates, particularly among females. Analyzing mutually, exclusive drug/drug class combinations listed on death certificates of females are the objective of this study. Materials and Methods: Mortality data for U.S. female residents were obtained from the 1999 to 2017 National Vital Statistics System (n = 260,782). Analyses included deaths with an underlying cause of death based on International Classification of Diseases, 10th Revision (ICD-10) codes for drug overdoses. The drug/drug class involved included individual 4-digit ICD-10 codes in the range T36.0-T50.9, including poisoning deaths due to all drugs, excluding alcohol. Years from 1999 to 2017 were grouped in six 3-year categories with the most recent year (2017) left separate for analysis. All drug overdose deaths were analyzed in mutually exclusive categories. Results: From 1999 to 2017, the top-listed drug/drug class overall and by year grouping was solely "other and unspecified drugs, medicaments and biological substances"; however, that listing dropped from 25.8% from the 1999 to 2001 period to 14.1% in 2017. Overall, the next most frequent single drug/drug class mentions were "natural and semisynthetic opioids" (20,951; 8.0%) and "cocaine" (10,882; 4.2%). Two of the top five drug/drug class combinations included benzodiazepines ("natural and semisynthetic opioids"/"benzodiazepines" and "methadone"/"benzodiazepines"). Conclusions: Analyzing trends in drugs and drug classes involved in female drug overdose deaths is a critical foundation for developing gender-responsive public health interventions. Reducing high-risk drug use by improving prescribing practices, preventing drug use initiation, and addressing use of multiple drugs can help prevent overdose deaths.
Subject(s)
Cocaine , Drug Overdose , Substance-Related Disorders , Vital Statistics , Analgesics, Opioid , Female , Humans , United States/epidemiologyABSTRACT
Suicide is the 10th leading cause of death in the United States overall, and the second and fourth leading cause among persons aged 10-34 and 35-44 years, respectively (1). In just over 2 decades (1999-2019), approximately 800,000 deaths were attributed to suicide, with a 33% increase in the suicide rate over the period (1). In 2019, a total of 12 million adults reported serious thoughts of suicide during the past year, 3.5 million planned a suicide, and 1.4 million attempted suicide (2). Suicides and suicide attempts in 2019 led to a lifetime combined medical and work-loss cost (i.e., the costs that accrue from the time of the injury through the course of a person's expected lifetime) of approximately $70 billion (https://wisqars.cdc.gov:8443/costT/). From 2018 to 2019, the overall suicide rate declined for the first time in over a decade (1). To understand how the decline varied among different subpopulations by demographic and other characteristics, CDC analyzed changes in counts and age-adjusted suicide rates from 2018 to 2019 by demographic characteristics, county urbanicity, mechanism of injury, and state. Z-tests and 95% confidence intervals were used to assess statistical significance. Suicide rates declined by 2.1% overall, by 3.2% among females, and by 1.8% among males. Significant declines occurred, overall, in five states. Other significant declines were noted among subgroups defined by race/ethnicity, age, urbanicity, and suicide mechanism. These declines, although encouraging, were not uniform, and several states experienced significant rate increases. A comprehensive approach to prevention that uses data to drive decision-making, implements prevention strategies from CDC's Preventing Suicide: A Technical Package of Policy, Programs, and Practices with the best available evidence, and targets the multiple risk factors associated with suicide, especially in populations disproportionately affected, is needed to build on initial progress from 2018 to 2019 (3).
Subject(s)
Suicide/trends , Adolescent , Adult , Aged , Aged, 80 and over , Child , Female , Humans , Male , Middle Aged , Suicide/statistics & numerical data , United States/epidemiology , Young AdultABSTRACT
INTRODUCTION: Falls are the leading cause of traumatic brain injury (TBI) for children in the 0-4â¯year age group. There is limited literature pertaining to fall-related TBIs in children age 4 and under and the circumstances surrounding these TBIs. This study provides a national estimate and describes actions and products associated with fall-related TBI in this age group. METHOD: Data analyzed were from the 2001-2013 National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP), a nationally representative sample of emergency departments (ED). Case narratives were coded for actions associated with the fall, and product codes were abstracted to determine fall location and product type. All estimates were weighted. RESULTS: An estimated 139,001 children younger than 5â¯years were treated annually in EDs for nonfatal, unintentional fall-related TBI injuries (totalâ¯=â¯1,807,019 during 2001-2013). Overall, child actions (e.g., running) accounted for the greatest proportion of injuries and actions by others (e.g., carrying) was highest for children younger than 1â¯year. The majority of falls occurred in the home, and involved surfaces, fixtures, furniture, and baby products. CONCLUSIONS: Fall-related TBI in young children represents a significant public health burden. The majority of children seen for TBI assessment in EDs were released to home. Prevention efforts that target parent supervision practices and the home environment are indicated. Practical applications: Professionals in contact with parents of young children can remind them to establish a safe home and be attentive to the environment when carrying young children to prevent falls.
Subject(s)
Accidental Falls/statistics & numerical data , Brain Injuries, Traumatic/epidemiology , Brain Injuries, Traumatic/etiology , Child, Preschool , Emergency Service, Hospital/statistics & numerical data , Female , Humans , Infant , Infant, Newborn , Male , United States/epidemiologyABSTRACT
In this ecological study, we attempt to quantify the extent to which differences in homicide and suicide death rates between three countries, and among states/provinces within those countries, may be explained by differences in their social, economic, and structural characteristics. We examine the relationship between state/province level measures of societal risk factors and state/province level rates of violent death (homicide and suicide) across Australia, Canada, and the United States. Census and mortality data from each of these three countries were used. Rates of societal level characteristics were assessed and included residential instability, self-employment, income inequality, gender economic inequity, economic stress, alcohol outlet density, and employment opportunities). Residential instability, self-employment, and income inequality were associated with rates of both homicide and suicide and gender economic inequity was associated with rates of suicide only. This study opens lines of inquiry around what contributes to the overall burden of violence-related injuries in societies and provides preliminary findings on potential societal characteristics that are associated with differences in injury and violence rates across populations.
ABSTRACT
OBJECTIVE: To classify and compare US nationwide opioid-related hospital inpatient discharges over time by discharge type: 1) opioid use disorder (OUD) diagnosis without opioid overdose, detoxification, or rehabilitation services, 2) opioid overdose, 3) OUD diagnosis or opioid overdose with detoxification services, and 4) OUD diagnosis or opioid overdose with rehabilitation services. METHODS: Survey-weighted national analysis of hospital discharges in the Healthcare Cost and Utilization Project National Inpatient Sample yielded age-adjusted annual rates per 100,000 population. Annual percentage change (APC) in the rate of opioid-related discharges by type during 1993-2016 was assessed. RESULTS: The annual rate of hospital discharges documenting OUD without opioid overdose, detoxification, or rehabilitation services quadrupled during 1993-2016, and at an increased rate (8% annually) during 2003-2016. The discharge rate for all types of opioid overdose increased an average 5-9% annually during 1993-2010; discharges for non-heroin overdoses declined 2010-2016 (3-12% annually) while heroin overdose discharges increased sharply (23% annually). The rate of discharges including detoxification services among OUD and overdose patients declined (-4% annually) during 2008-2016 and rehabilitation services (e.g., counselling, pharmacotherapy) among those discharges decreased (-2% annually) during 1993-2016. CONCLUSIONS: Over the past two decades, the rate of both OUD diagnoses and opioid overdoses increased substantially in US hospitals while rates of inpatient detoxification and rehabilitation services identified by diagnosis codes declined. It is critical that inpatients diagnosed with OUD or treated for opioid overdose are linked effectively to substance use disorder treatment at discharge.
Subject(s)
Community Health Centers/statistics & numerical data , Drug Overdose/therapy , Inpatients/statistics & numerical data , Mental Health Services/statistics & numerical data , Opioid-Related Disorders/therapy , Patient Discharge/statistics & numerical data , Adult , Drug Overdose/epidemiology , Drug Overdose/rehabilitation , Health Services Research , Humans , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/rehabilitation , United States/epidemiologyABSTRACT
Objectives: Both the National Vital Statistics System (NVSS) and the Fatality Analysis Reporting System (FARS) can be used to examine motor vehicle crash (MVC) deaths. These 2 data systems operate independently, using different methods to collect and code information about the type of vehicle (e.g., car, truck, bus) and road user (e.g., occupant, motorcyclist, pedestrian) involved in an MVC. A substantial proportion of MVC deaths in NVSS are coded as "unspecified" road user, which reduces the utility of the NVSS data for describing burden and identifying prevention measures. This study aimed to describe characteristics of unspecified road user deaths in NVSS to further our understanding of how these groups may be similar to occupant road user deaths. Methods: Using data from 1999 to 2015, we compared NVSS and FARS MVC death counts by road user type, overall and by age group, gender, and year. In addition, we examined factors associated with the categorization of an MVC death as unspecified road user such as state of residence of decedent, type of medical death investigation system, and place of death. Results: The number of MVC occupant deaths in NVSS was smaller than that in FARS in each year and the number of unspecified road user deaths in NVSS was greater than that in FARS. The sum of the number of occupant and unspecified road user deaths in NVSS, however, was approximately equal to the number of FARS occupant deaths. Age group and gender distributions were roughly equivalent for NVSS and FARS occupants and NVSS unspecified road users. Within NVSS, the number of MVC deaths listed as unspecified road user varied across states and over time. Other categories of road users (motorcyclists, pedal cyclists, and pedestrians) were consistent when comparing NVSS and FARS. Conclusions: Our findings suggest that the unspecified road user MVC deaths in NVSS look similar to those of MVC occupants according to selected characteristics. Additional study is needed to identify documentation and reporting challenges in individual states and over time and to identify opportunities for improvement in the coding of road user type in NVSS.
Subject(s)
Accidents, Traffic/mortality , Accidents, Traffic/statistics & numerical data , Vital Statistics , Adolescent , Adult , Aged , Bicycling/injuries , Bicycling/statistics & numerical data , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Motorcycles/statistics & numerical data , Pedestrians/statistics & numerical data , United States/epidemiology , Young AdultABSTRACT
The drug epidemic in the United States continues to evolve. The drug overdose death rate has rapidly increased among women (1,2), although within this demographic group, the increase in overdose death risk is not uniform. From 1999 to 2010, the largest percentage changes in the rates of overall drug overdose deaths were among women in the age groups 45-54 years and 55-64 years (1); however, this finding does not take into account trends in specific drugs or consider changes in age group distributions in drug-specific overdose death rates. To target prevention strategies to address the epidemic among women in these age groups, CDC examined overdose death rates among women aged 30-64 years during 1999-2017, overall and by drug subcategories (antidepressants, benzodiazepines, cocaine, heroin, prescription opioids, and synthetic opioids, excluding methadone). Age distribution changes in drug-specific overdose death rates were calculated. Among women aged 30-64 years, the unadjusted drug overdose death rate increased 260%, from 6.7 deaths per 100,000 population (4,314 total drug overdose deaths) in 1999 to 24.3 (18,110) in 2017. The number and rate of deaths involving antidepressants, benzodiazepines, cocaine, heroin, and synthetic opioids each increased during this period. Prescription opioid-related deaths increased between 1999 and 2017 among women aged 30-64 years, with the largest increases among those aged 55-64 years. Interventions to address the rise in drug overdose deaths include implementing the CDC Guideline for Prescribing Opioids for Chronic Pain (3), reviewing records of controlled substance prescribing (e.g., prescription drug monitoring programs, health insurance programs), and developing capacity of drug use disorder treatments and linkage to care, especially for middle-aged women with drug use disorders.
Subject(s)
Drug Overdose/mortality , Adult , Female , Humans , Middle Aged , United States/epidemiologyABSTRACT
BACKGROUND: Understanding more about circumstances in which patients receive an opioid use disorder (OUD) diagnosis might illuminate opportunities for intervention and ultimately prevent opioid overdoses. This study aimed to describe patient and clinical characteristics of hospital discharges documenting OUD among patients not being treated for opioid overdose, detoxification, or rehabilitation. METHODS: We assessed patient, payer, and clinical characteristics of nationally-representative 2011-2015 National Inpatient Sample discharges documenting OUD, excluding opioid overdose, detoxification, and rehabilitation. Discharges were clinically classified by Diagnostic Related Group (DRG) for analysis. RESULTS: Annual discharges grew 38%, from 347,137 (2011) to 478,260 (2015), totaling 2 million discharges during the study period. The annual discharge rate increased among all racial/ethnic groups, but was highest among the non-Hispanic black population until 2015, when non-Hispanic whites had a slightly higher rate (164 versus 162 per 100,000 population). Female patients and Medicaid and Medicare as primary payer accounted for an increasing annual proportion of discharges. Just 14 DRGs accounted for nearly 50% of discharges over the study period. The most prevalent primary treatment received during OUD inpatient stays was for psychoses (DRG 885; 16% of discharges) and drug and alcohol abuse or dependence symptoms (including withdrawal) or (non-opioid) poisoning (DRG 894, 897, 917, 918; 12% of discharges). CONCLUSIONS: Now nearly half a million yearly US hospital discharges for a range of primary treatment include patients' diagnosis of OUD without opioid overdose, detoxification, or rehabilitation services. Inpatient stays present an important opportunity to link OUD patients to treatment to reduce opioid-related morbidity and mortality.
Subject(s)
Analgesics, Opioid/administration & dosage , Hospitalization/statistics & numerical data , Opioid-Related Disorders/epidemiology , Patient Discharge/statistics & numerical data , Adult , Diagnosis-Related Groups , Female , Humans , Male , Medicaid/statistics & numerical data , Medicare/statistics & numerical data , Middle Aged , Prevalence , Racial Groups/statistics & numerical data , Sex Factors , United StatesABSTRACT
INTRODUCTION: As more states legalize medical/recreational marijuana use, it is important to determine if state motor-vehicle surveillance systems can effectively monitor and track driving under the influence (DUI) of marijuana. This study assessed Colorado's Department of Revenue motor-vehicle crash data system, Electronic Accident Reporting System (EARS), to monitor non-fatal crashes involving driving under the influence (DUI) of marijuana. METHODS: Centers for Disease Control and Prevention guidelines on surveillance system evaluation were used to assess EARS' usefulness, flexibility, timeliness, simplicity, acceptability, and data quality. We assessed system components, interviewed key stakeholders, and analyzed completeness of Colorado statewide 2014 motor-vehicle crash records. RESULTS: EARS contains timely and complete data, but does not effectively monitor non-fatal motor-vehicle crashes related to DUI of marijuana. Information on biological sample type collected from drivers and toxicology results were not recorded into EARS; however, EARS is a flexible system that can incorporate new data without increasing surveillance system burden. CONCLUSIONS: States, including Colorado, could consider standardization of drug testing and mandatory reporting policies for drivers involved in motor-vehicle crashes and proactively address the narrow window of time for sample collection to improve DUI of marijuana surveillance. Practical applications: The evaluation of state motor-vehicle crash systems' ability to capture crashes involving drug impaired driving (DUID) is a critical first step for identifying frequency and risk factors for crashes related to DUID.
Subject(s)
Accidents, Traffic/statistics & numerical data , Cannabis/adverse effects , Driving Under the Influence/statistics & numerical data , Law Enforcement/methods , Colorado , Humans , SafetyABSTRACT
Injuries and violence among young people have a substantial emotional, physical, and economic toll on society. Understanding the epidemiology of this public health problem can guide prevention efforts, help identify and reduce risk factors, and promote protective factors. We examined fatal and nonfatal unintentional injuries, injuries intentionally inflicted by other (i.e., assaults and homicides) among children ages 0-19, and intentionally self-inflicted injuries (i.e., self-harm and suicides) among children ages 10-19. We accessed deaths (1999-2015) and visits to emergency departments (2001-2015) for these age groups through the Centers for Disease Control and Prevention's (CDC) Web-based Injury Statistics Query and Reporting System (WISQARS), and examined trends and differences by age, sex, race/ethnicity, rural/urban status, and injury mechanism. Almost 13,000 children and adolescents age 0-19 years died in 2015 from injury and violence compared to over 17,000 in 1999. While the overall number of deaths has decreased over time, there were increases in death rates among certain age groups for some categories of unintentional injury and for suicides. The leading causes of injury varied by age group. Our results indicate that efforts to reduce injuries to children and adolescents should consider cause, intent, age, sex, race, and regional factors to assure that prevention resources are directed at those at greatest risk.
Subject(s)
Accidents/statistics & numerical data , Homicide/statistics & numerical data , Self-Injurious Behavior/epidemiology , Violence/statistics & numerical data , Wounds and Injuries/epidemiology , Accidents/mortality , Adolescent , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Population Surveillance , Protective Factors , Risk Factors , Sex Factors , United States/epidemiology , Wounds and Injuries/etiology , Young AdultABSTRACT
PROBLEM/CONDITION: Drug overdoses are a leading cause of injury death in the United States, resulting in approximately 52,000 deaths in 2015. Understanding differences in illicit drug use, illicit drug use disorders, and overall drug overdose deaths in metropolitan and nonmetropolitan areas is important for informing public health programs, interventions, and policies. REPORTING PERIOD: Illicit drug use and drug use disorders during 2003-2014, and drug overdose deaths during 1999-2015. DESCRIPTION OF DATA: The National Survey of Drug Use and Health (NSDUH) collects information through face-to-face household interviews about the use of illicit drugs, alcohol, and tobacco among the U.S. noninstitutionalized civilian population aged ≥12 years. Respondents include residents of households and noninstitutional group quarters (e.g., shelters, rooming houses, dormitories, migratory workers' camps, and halfway houses) and civilians living on military bases. NSDUH variables include sex, age, race/ethnicity, residence (metropolitan/nonmetropolitan), annual household income, self-reported drug use, and drug use disorders. National Vital Statistics System Mortality (NVSS-M) data for U.S. residents include information from death certificates filed in the 50 states and the District of Columbia. Cases were selected with an underlying cause of death based on the ICD-10 codes for drug overdoses (X40-X44, X60-X64, X85, and Y10-Y14). NVSS-M variables include decedent characteristics (sex, age, and race/ethnicity) and information on intent (unintentional, suicide, homicide, or undetermined), location of death (medical facility, in a home, or other [including nursing homes, hospices, unknown, and other locations]) and county of residence (metropolitan/nonmetropolitan). Metropolitan/nonmetropolitan status is assigned independently in each data system. NSDUH uses a three-category system: Core Based Statistical Area (CBSA) of ≥1 million persons; CBSA of <1 million persons; and not a CBSA, which for simplicity were labeled large metropolitan, small metropolitan, and nonmetropolitan. Deaths from NVSS-M are categorized by the county of residence of the decedent using CDC's National Center for Health Statistics 2013 Urban-Rural Classification Scheme, collapsed into two categories (metropolitan and nonmetropolitan). RESULTS: Although both metropolitan and nonmetropolitan areas experienced significant increases from 2003-2005 to 2012-2014 in self-reported past-month use of illicit drugs, the prevalence was highest for the large metropolitan areas compared with small metropolitan or nonmetropolitan areas throughout the study period. Notably, past-month use of illicit drugs declined over the study period for the youngest respondents (aged 12-17 years). The prevalence of past-year illicit drug use disorders among persons using illicit drugs in the past year varied by metropolitan/nonmetropolitan status and changed over time. Across both metropolitan and nonmetropolitan areas, the prevalence of past-year illicit drug use disorders declined during 2003-2014. In 2015, approximately six times as many drug overdose deaths occurred in metropolitan areas than occurred in nonmetropolitan areas (metropolitan: 45,059; nonmetropolitan: 7,345). Drug overdose death rates (per 100,000 population) for metropolitan areas were higher than in nonmetropolitan areas in 1999 (6.4 versus 4.0), however, the rates converged in 2004, and by 2015, the nonmetropolitan rate (17.0) was slightly higher than the metropolitan rate (16.2). INTERPRETATION: Drug use and subsequent overdoses continue to be a critical and complicated public health challenge across metropolitan/nonmetropolitan areas. The decline in illicit drug use by youth and the lower prevalence of illicit drug use disorders in rural areas during 2012-2014 are encouraging signs. However, the increasing rate of drug overdose deaths in rural areas, which surpassed rates in urban areas, is cause for concern. PUBLIC HEALTH ACTIONS: Understanding the differences between metropolitan and nonmetropolitan areas in drug use, drug use disorders, and drug overdose deaths can help public health professionals to identify, monitor, and prioritize responses. Consideration of where persons live and where they die from overdose could enhance specific overdose prevention interventions, such as training on naloxone administration or rescue breathing. Educating prescribers on CDC's guideline for prescribing opioids for chronic pain (Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain-United States, 2016. MMWR Recomm Rep 2016;66[No. RR-1]) and facilitating better access to medication-assisted treatment with methadone, buprenorphine, or naltrexone could benefit communities with high opioid use disorder rates.
Subject(s)
Drug Overdose/mortality , Illicit Drugs/poisoning , Rural Population/statistics & numerical data , Substance-Related Disorders/epidemiology , Urban Population/statistics & numerical data , Humans , Prevalence , United States/epidemiologyABSTRACT
PROBLEM/CONDITION: Drug overdoses are a leading cause of injury death in the United States, resulting in approximately 52,000 deaths in 2015. Understanding differences in illicit drug use, illicit drug use disorders, and overall drug overdose deaths in metropolitan and nonmetropolitan areas is important for informing public health programs, interventions, and policies. REPORTING PERIOD: Illicit drug use and drug use disorders during 2003-2014, and drug overdose deaths during 1999-2015. DESCRIPTION OF DATA: The National Survey of Drug Use and Health (NSDUH) collects information through face-to-face household interviews about the use of illicit drugs, alcohol, and tobacco among the U.S. noninstitutionalized civilian population aged ≥12 years. Respondents include residents of households and noninstitutional group quarters (e.g., shelters, rooming houses, dormitories, migratory workers' camps, and halfway houses) and civilians living on military bases. NSDUH variables include sex, age, race/ethnicity, residence (metropolitan/nonmetropolitan), annual household income, self-reported drug use, and drug use disorders. National Vital Statistics System Mortality (NVSS-M) data for U.S. residents include information from death certificates filed in the 50 states and the District of Columbia. Cases were selected with an underlying cause of death based on the ICD-10 codes for drug overdoses (X40-X44, X60-X64, X85, and Y10-Y14). NVSS-M variables include decedent characteristics (sex, age, and race/ethnicity) and information on intent (unintentional, suicide, homicide, or undetermined), location of death (medical facility, in a home, or other [including nursing homes, hospices, unknown, and other locations]) and county of residence (metropolitan/nonmetropolitan). Metropolitan/nonmetropolitan status is assigned independently in each data system. NSDUH uses a three-category system: Core Based Statistical Area (CBSA) of ≥1 million persons; CBSA of <1 million persons; and not a CBSA, which for simplicity were labeled large metropolitan, small metropolitan, and nonmetropolitan. Deaths from NVSS-M are categorized by the county of residence of the decedent using CDC's National Center for Health Statistics 2013 Urban-Rural Classification Scheme, collapsed into two categories (metropolitan and nonmetropolitan). RESULTS: Although both metropolitan and nonmetropolitan areas experienced significant increases from 2003-2005 to 2012-2014 in self-reported past-month use of illicit drugs, the prevalence was highest for the large metropolitan areas compared with small metropolitan or nonmetropolitan areas throughout the study period. Notably, past-month use of illicit drugs declined over the study period for the youngest respondents (aged 12-17 years). The prevalence of past-year illicit drug use disorders among persons using illicit drugs in the past year varied by metropolitan/nonmetropolitan status and changed over time. Across both metropolitan and nonmetropolitan areas, the prevalence of past-year illicit drug use disorders declined during 2003-2014. In 2015, approximately six times as many drug overdose deaths occurred in metropolitan areas than occurred in nonmetropolitan areas (metropolitan: 45,059; nonmetropolitan: 7,345). Drug overdose death rates (per 100,000 population) for metropolitan areas were higher than in nonmetropolitan areas in 1999 (6.4 versus 4.0), however, the rates converged in 2004, and by 2015, the nonmetropolitan rate (17.0) was slightly higher than the metropolitan rate (16.2). INTERPRETATION: Drug use and subsequent overdoses continue to be a critical and complicated public health challenge across metropolitan/nonmetropolitan areas. The decline in illicit drug use by youth and the lower prevalence of illicit drug use disorders in rural areas during 2012-2014 are encouraging signs. However, the increasing rate of drug overdose deaths in rural areas, which surpassed rates in urban areas, is cause for concern. PUBLIC HEALTH ACTIONS: Understanding the differences between metropolitan and nonmetropolitan areas in drug use, drug use disorders, and drug overdose deaths can help public health professionals to identify, monitor, and prioritize responses. Consideration of where persons live and where they die from overdose could enhance specific overdose prevention interventions, such as training on naloxone administration or rescue breathing. Educating prescribers on CDC's guideline for prescribing opioids for chronic pain (Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain-United States, 2016. MMWR Recomm Rep 2016;66[No. RR-1]) and facilitating better access to medication-assisted treatment with methadone, buprenorphine, or naltrexone could benefit communities with high opioid use disorder rates.