OBJECTIVE: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events with lifelong negative impacts. Population-level data on ACEs among adolescents have historically relied on parent reports and excluded abuse-related ACEs. We present the self-reported prevalence of ACEs among a large population-based sample of US high school students. METHODS: Using cross-sectional, state-representative data from 16 states that included core ACE questions on their 2021 Youth Risk Behavior Survey, we estimate the prevalence of 8 individual (lifetime emotional, physical, or sexual abuse, physical neglect, witnessed intimate partner violence, household substance use, household poor mental health, incarcerated parent or guardian) and cumulative ACEs (0, 1, 2-3, ≥4) among a large population-based sample of adolescents, overall and by demographic characteristics (sex, race and ethnicity, age, sexual orientation). RESULTS: Emotional abuse (65.8%), household poor mental health (36.1%), and physical abuse (32.5%) had the highest prevalence. ACEs were very common, with 80.5% of adolescents experiencing at least 1 ACE and 22.4% experiencing ≥4 ACEs. Experiencing ≥4 ACEs was highest among adolescents who were female (27.7%), non-Hispanic multiracial (33.7%), non-Hispanic American Indian or Alaska Native (27.1%), gay or lesbian (36.5%), bisexual (42.1%), or who described their sexual identity some other way or were not sure of their sexual identity (questioning) (36.5%). CONCLUSIONS: Self-reported ACE estimates among adolescents exceed previously published parent-reported estimates. ACEs are not equally distributed, with important differences in individual and cumulative ACEs by demographic characteristics. Collecting ACE data directly from adolescents at the state level provides actionable data for prevention and mitigation.

INTRODUCTION: Data on adverse childhood experiences (ACEs) are key to understanding their burden and informing prevention programs and strategies. Population-based surveys that collect ACEs data may be affected by item non-response. This study examines differences in non-response to the optional Behavior Risk Factor Surveillance System (BRFSS) ACEs module overall, by sociodemographic characteristics, year, and question. METHODS: The study used BRFSS ACEs Module data from 21 states in 2019 and 16 states in 2021. Weighted proportions and 95% confidence intervals (95% CI) of responders and non-responders to the ACEs module by year and sociodemographic characteristics, and percentages of non-responders for each question were calculated. Chi-square tests were used to assess statistically significant (p<0.05) differences. Analyses were conducted in 2023. RESULTS: In 2019 and 2021, 1.2% (95% CI=1.1, 1.4) and 2.4% (95% CI=2.2, 2.5) of BRFSS participants were non-responders to the ACEs Module, respectively (p<0.01). Compared with responders, non-responders were more likely to be non-Hispanic Black (p=0.01) or non-Hispanic Asian (p=0.01), unemployed (p<0.01), have income <$15,000 (p<0.01), or report poor health (p<0.01). Non-response by question increased as the module progressed, and non-response was highest for sexual abuse questions. CONCLUSIONS: Overall, findings demonstrate that individuals are willing to respond to the ACEs module questions. Although low, non-response to the module increased from 2019 to 2021. Higher non-response for sexual abuse questions may be due to their sensitivity or potential survey fatigue due to placement at the end of the module. Higher non-response among racial/ethnic minorities and economically disadvantages groups highlight opportunities to improve existing surveillance systems.

Positive childhood experiences (PCEs) promote optimal health and mitigate the effects of adverse childhood experiences, but PCE prevalence in the United States is not well-known. Using Behavioral Risk Factor Surveillance System data, this study describes the prevalence of individual and cumulative PCEs among adults residing in four states: Kansas (2020), Montana (2019), South Carolina (2020), and Wisconsin (2015). Cumulative PCE scores were calculated by summing affirmative responses to seven questions. Subscores were created for family-related (three questions) and community-related (four questions) PCEs. The prevalence of individual PCEs varied from 59.5% (enjoyed participating in community traditions) to 90.5% (adult in respondents' household made them feel safe), and differed significantly by race and ethnicity, age, and sexual orientation. Fewer non-Hispanic Black or African American (49.2%), non-Hispanic Alaska Native or American Indian (37.7%), and Hispanic or Latino respondents (38.9%) reported 6-7 PCEs than did non-Hispanic White respondents (55.2%). Gay or lesbian, and bisexual respondents were less likely than were straight respondents to report 6-7 PCEs (38.1% and 27.4% versus 54.7%, respectively). A PCE score of 6-7 was more frequent among persons with higher income and education. Improved understanding of the relationship of PCEs to adult health and well-being and variation among population subgroups might help reduce health inequities.

INTRODUCTION: Although adverse childhood experiences (ACEs) are associated with lifelong health harms, current surveillance data on adults' ACEs exposures are either unavailable or incomplete for many states. In this study, recent data from a nationally representative survey were used to obtain current and complete ACEs estimates at the national and state levels. METHODS: Current, complete, by-state ACEs estimates were obtained by applying small area estimation (SAE) technique to individual-level data on adults aged 18+ years from 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. The standardized ACEs questions included in 2019-2020 BRFSS survey allowed for obtaining ACEs estimates consistent across states. All missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondents skipped questions) were predicted through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL SAE regressions. The analyses were conducted between October 2022 and May 2023. RESULTS: Estimated 62.8% of U.S. adults had past ACEs exposures (range: 54.9% in Connecticut; 72.5% in Maine). Emotional abuse (34.5%) was most common; household member incarceration (10.6%) was least common. Sexual abuse varied markedly between females (22.2%) and males (5.4%). Most ACEs exposures were lowest for adults who were non-Hispanic white, had the highest level of education (college degree) or income (annual income $50,000+), or had access to a personal healthcare provider. CONCLUSIONS: Current complete ACE estimates demonstrate high countrywide exposures and stark socio-demographic inequalities in ACEs burden, highlighting opportunities to prevent ACEs by focusing social, educational, medical, and public health interventions on populations disproportionately impacted.

BACKGROUND: Although preventable, adverse childhood experiences (ACEs) can result in lifelong health harms. Current surveillance data on adults' exposure to ACEs are either unavailable or incomplete for many U.S. states. METHODS: Current estimates of the proportion of U.S. adults with past ACEs exposures were obtained by analysing individual-level data from 2019 to 2020 Behavioural Risk Factor Surveillance System-annual nationally representative survey of noninstitutionalized adults aged 18+years. Standardised questions measuring ACEs exposures (presence of household member with mental illness, substance abuse, or incarceration; parental separation; witnessing intimate partner violence; experiencing physical, emotional, or sexual abuse during childhood) were categorised into 0, 1, 2-3, or 4+ACEs and reported by sociodemographic group in each state. Missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondent skipped questions) were modelled through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL regressions. RESULTS: In 2019-2020, an estimated 62.8% of U.S. adults had past exposure to 1+ACEs (range: 54.9% in Connecticut; 72.5% in Maine), including 22.4% of adults who were exposed to 4+ACEs (range: 11.9% in Connecticut; 32.8% in Nevada). At the national and state levels, exposure to 4+ACEs was highest among adults aged 18-34 years, those who did not graduate from high school, or adults who did not have a healthcare provider. Racial/ethnic distribution of adults exposed to 4+ACEs varied by age and state. CONCLUSIONS: ACEs are common but not equally distributed. ACEs exposures estimated by state and sociodemographic group can help decisionmakers focus public health interventions on populations disproportionately impacted in their area.

IMPORTANCE: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events in childhood, such as experiencing abuse or neglect, witnessing violence, or living in a household with substance use disorder, mental health problems, or instability from parental separation or incarceration. Adults who had ACEs have more harmful risk behaviors and worse health outcomes; the economic burden associated with these issues is uncertain. OBJECTIVE: To estimate the economic burden of ACE-associated health conditions among US adults. DESIGN, SETTING, AND PARTICIPANTS: In this economic evaluation, regression models of cross-sectional survey data from the 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) and previous studies were used to estimate ACE population-attributable fractions (PAFs) (ie, the fraction of total cases associated with a specific exposure) for selected health outcomes (anxiety, arthritis, asthma, cancer, chronic obstructive pulmonary disease, depression, diabetes, heart disease, kidney disease, stroke, and violence) and risk factors (heavy drinking, illicit drug use, overweight and obesity, and smoking) among the 2019 US adult population. Adverse childhood experience PAFs were used to calculate the proportion of total condition-specific medical spending and lost healthy life-years related to ACEs using Global Burden of Disease Study data. Data analysis was performed from September 10, 2021, to November 29, 2022. EXPOSURE: Adverse childhood experiences (age <18 years). MAIN OUTCOMES AND MEASURES: Monetary valuation of ACE-associated morbidity and mortality using standard US value of statistical life methods and presented in terms of annual and lifetime per affected person and total population estimates at the national and state levels. RESULTS: A total of 820 673 adults, representing 255 million individuals, participated in the BRFSS in 2019 and 2020. An estimated 160 million of the total 255 million US adult population (63%) had 1 or more ACE, associated with an annual economic burden of $14.1 trillion ($183 billion in direct medical spending and $13.9 trillion in lost healthy life-years). This was $88 000 per affected adult annually and $2.4 million over their lifetimes. The lifetime economic burden per affected adult was lowest in North Dakota ($1.3 million) and highest in Arkansas ($4.3 million). Twenty-two percent of adults had 4 or more ACEs and comprised 58% of the total economic burden-the estimated per person lifetime economic burden for those adults was $4.0 million. CONCLUSIONS AND RELEVANCE: In this cross-sectional analysis of the US adult population, the economic burden of ACE-related health conditions was substantial. The findings suggest that measuring the economic burden of ACEs can support decision-making about investing in strategies to improve population health.

INTRODUCTION: Data on the long-term and comprehensive cost of violence are essential for informed decision making on the future benefits of resources directed toward violence prevention. This review aimed to summarize original per person estimates of the attributable cost of interpersonal violence to support public health economic research and decision making. METHODS: In 2023, English-language peer-reviewed journal articles published 2000-2022 with high-income country focus reporting original per person average cost of violence estimates were identified using index terms in multiple databases. Study content including violence type (e.g., adverse childhood experiences, ACEs), timeline and payer cost perspective (e.g., hospitalization event-only health care payer cost), and associated per person cost estimates were summarized. Costs are 2022 USD. RESULTS: Per person cost estimates related to ACEs, community violence, sexual violence, intimate partner violence, homicide, firearm violence, youth violence, workplace violence, and bullying from 73 studies (majority U.S. focus) were summarized. For example, among 23 studies with ACEs focus, monetary estimates ranged from $390 for ACE-related annual health care out-of-pocket costs per U.S. adult with 3+ ACEs to $20.2m for the lifetime societal economic burden of a U.S. child maltreatment fatality. CONCLUSIONS: This review provides a descriptive summary of available per person cost of violence estimates. Results can help public health professionals describe the economic burden of violence, identify the best available estimate for a particular public health question, and address data gaps. Ultimately, understanding the long-term and comprehensive cost of violence is necessary to anticipate the economic benefits of prevention.

Adverse childhood experiences (ACEs) are defined as preventable, potentially traumatic events that occur among persons aged <18 years and are associated with numerous negative outcomes; data from 25 states indicate that ACEs are common among U.S. adults (1). Disparities in ACEs are often attributable to social and economic environments in which some families live (2,3). Understanding the prevalence of ACEs, stratified by sociodemographic characteristics, is essential to addressing and preventing ACEs and eliminating disparities, but population-level ACEs data collection has been sporadic (1). Using 2011-2020 Behavioral Risk Factor Surveillance System (BRFSS) data, CDC provides estimates of ACEs prevalence among U.S. adults in all 50 states and the District of Columbia, and by key sociodemographic characteristics. Overall, 63.9% of U.S. adults reported at least one ACE; 17.3% reported four or more ACEs. Experiencing four or more ACEs was most common among females (19.2%), adults aged 25-34 years (25.2%), non-Hispanic American Indian or Alaska Native (AI/AN) adults (32.4%), non-Hispanic multiracial adults (31.5%), adults with less than a high school education (20.5%), and those who were unemployed (25.8%) or unable to work (28.8%). Prevalence of experiencing four or more ACEs varied substantially across jurisdictions, from 11.9% (New Jersey) to 22.7% (Oregon). Patterns in prevalence of individual and total number of ACEs varied by jurisdiction and sociodemographic characteristics, reinforcing the importance of jurisdiction and local collection of ACEs data to guide targeted prevention and decrease inequities. CDC has released prevention resources, including Preventing Adverse Childhood Experiences: Leveraging the Best Available Evidence, to help provide jurisdictions and communities with the best available strategies to prevent violence and other ACEs, including guidance on how to implement those strategies for maximum impact (4-6).

STUDY OBJECTIVES: Adolescents in the United States have undergone dramatic declines in pregnancies and births in recent decades. We aimed to estimate the contribution of changes in three proximal behaviors to these declines among 14-18-year-olds for 2007-2017: 1) delays in age at first sexual intercourse, 2) declines in number of sexual partners, and 3) changes in contraceptive use, particularly uptake of long-acting reversible contraception (LARC). DESIGN: We adapted an existing iterative dynamic population model and parameterized it using six waves of the Centers for Disease Control and Prevention's Youth Risk Behavior Survey. We compared pregnancies from observed behavioral trends with counterfactual scenarios that assumed constant behaviors over the decade. We calculated outcomes by cause, year and age. RESULTS: We found that changes in these behaviors could explain reductions of 496,200, 78,500, and 40,700 pregnancies over the decade, respectively, with total medical and societal cost savings of $9.71 billion, $1.54 billion, and $796 million. LARC adoption, particularly among 18-year-olds, could explain much of the improvements from contraception use. The three factors together did not fully explain observed birth declines; adding a 50% decline in sex acts per partner did. CONCLUSIONS: Delays in first sexual intercourse contributed the most to declining births over this decade, although all behaviors considered had major effects. Differences from earlier models may result from differences in years and ages covered. Evidence-based teen pregnancy prevention programs, including comprehensive sex education, youth-friendly reproductive health services and parental and community support can continue to address these drivers and reduce teen pregnancy.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) allocates funds annually to state and local programs in the United States to monitor and prevent sexually transmitted diseases (STDs). In 2014 a funding formula was implemented to allocate prevention funds to jurisdictions according to their STD burden and population size. We estimated the effect of implementing the funding formula in terms of gonorrhea cases averted from 2014-2018, a period during which inflation-adjusted CDC STD prevention funding declined. METHODS: Our model assumed that STD prevention funds have a measurable effect on subsequent reported gonorrhea case rates, and the magnitude of this effect was as estimated in an empirical analysis of decades of state-level gonorrhea rates. In applying this equation-based model, we assumed all factors affecting jurisdictions' gonorrhea rates were constant over time except for their STD prevention funding allocations. We used data on CDC STD prevention funding allocated to each jurisdiction over time. We estimated gonorrhea rates under the "funding formula" scenario compared to a hypothetical "status quo" funding scenario, which reflected traditional methods to allocate prevention funds. RESULTS: In the model, gonorrhea cases increased from 2014-2018 by approximately 6% due to a decline in prevention funding, regardless of how funds were allocated. However, the estimated increase in gonorrhea cases was 5,222 (range: 1,181-9,195) cases less in the "funding formula" scenario than in the "status quo" scenario. CONCLUSIONS: By shifting resources towards jurisdictions with greater disease burden, the funding formula averted a substantial number of gonorrhea cases at no additional cost.

BACKGROUND: Rates of adolescent sexual activity have long been declining in the United States. We sought to estimate the number of cases of gonorrhea and chlamydia averted over one decade associated with these declines, and associated costs saved. METHODS: We analyzed data from the CDC's Youth Risk Behavior Survey of US high-school students from 2007-2017 and combined it with epidemiological estimates drawn from the literature to parameterize a dynamic population transmission model. We compared transmissions from observed behavioral trends to a counterfactual scenario that assumed sexual behaviors from 2007 remained constant over 10 years. We calculated outcomes by age and for three racial/ethnic groups (Hispanic, non-Hispanic Black, and non-Hispanic White adolescents) who vary on underlying burden and amount of behavioral change. RESULTS: We estimated 1,118,483 cases of chlamydia and 214,762 cases of gonorrhea were averted (19.5% of burden across all ages). This yielded $474 million (2017 dollars) savings in medical costs over the decade. The largest number of averted cases (767,543) was among Black adolescents, but the largest proportion (28.7%) was among Hispanic adolescents. CONCLUSIONS: Whatever its origins, changing sexual behavior among adolescents results in large estimated reductions in STI burden and medical costs relative to previous cohorts. Although diagnoses among adolescents have not declined at this rate, multiple explanations could make these apparently divergent trends consistent. Efforts to continue supporting effective sex education in and out of school along with STI screening for adolescents should reinforce these gains.

OBJECTIVES: The risk of mother-to-child HIV transmission can be reduced to </=0.5% if the mother's HIV status is known before delivery. This study describes 2006-2014 trends in diagnosed HIV infection documented on delivery discharge records and associated sociodemographic characteristics among women who gave birth in US hospitals. METHODS: We analyzed data from the 2006-2014 National Inpatient Sample and identified delivery discharges and women with diagnosed HIV infection by using International Classification of Diseases, Ninth Revision, Clinical Modification codes. We used a generalized linear model with log link and binomial distribution to assess trends and the association of sociodemographic characteristics with an HIV diagnosis on delivery discharge records. RESULTS: During 2006-2014, an HIV diagnosis was documented on approximately 3900-4400 delivery discharge records annually. The probability of having an HIV diagnosis on delivery discharge records decreased 3% per year (adjusted relative risk [aRR] = 0.97; 95% CI, 0.94-0.99), with significant declines identified among white women aged 25-34 (aRR = 0.93; 95% CI, 0.88-0.97) or those using Medicaid (aRR = 0.93; 95% CI, 0.90-0.97); among black women aged 25-34 (aRR = 0.95; 95% CI, 0.92-0.99); and among privately insured women who were black (aRR = 0.96; 95% CI, 0.92-0.99), Hispanic (aRR = 0.92; 95% CI, 0.86-0.98), or aged 25-34 (aRR = 0.96; 95% CI, 0.92-0.99). The probability of having an HIV diagnosis on delivery discharge records was greater for women who were black (aRR = 8.45; 95% CI, 7.56-9.44) or Hispanic (aRR = 1.56; 95% CI, 1.33-1.83) than white; for women aged 25-34 (aRR = 2.33; 95% CI, 2.12-2.55) or aged >/=35 (aRR = 3.04; 95% CI, 2.79-3.31) than for women aged 13-24; and for Medicaid recipients (aRR = 2.70; 95% CI, 2.45-2.98) or the uninsured (aRR = 1.87; 95% CI, 1.60-2.19) than for privately insured patients. CONCLUSION: During 2006-2014, the probability of having an HIV diagnosis declined among select sociodemographic groups of women delivering neonates. High-impact prevention efforts tailored to women remaining at higher risk for HIV infection can reduce the risk of mother-to-child HIV transmission.

Purpose: Adolescents aged 13–18 years bear a large burden of sexually transmitted infections (STIs) and changing adolescent sexual risk behavior is a key component of reducing this burden. We demonstrate a novel publicly available modeling tool (teen-SPARC) to help state and local health departments predict the impact of behavioral change on gonorrhea, chlamydia, and HIV burden among adolescents. Methods: Teen-SPARC is built in Excel for familiarity and ease and parameterized using data from CDC's Youth Risk Behavior Surveillance System. We present teen-SPARC's methods, including derivation of national parameters and instructions to obtain local parameters. We model multiple scenarios of increasing condom use and estimate the impact on gonorrhea, chlamydia, and HIV incidence, comparing national and New York State (NYS) results. Results: A 1% annual increase in condom use (consistent with Healthy People 2020 goals) could prevent nearly 10,000 cases of STIs nationwide. Increases in condom use of 17.1%, 2.2%, and 25.5% in NYS would be necessary to avert 1000 cases of gonorrhea, 1000 cases of chlamydia, and 10 cases of HIV infection, respectively. Additional results disaggregate outcomes by age, sex, partner sex, jurisdiction, and pathogen. Conclusion: Teen-SPARC may be able to assist health departments aiming to tailor behavioral interventions for STI prevention among adolescents.

The United States is in the midst of unprecedented person-to-person hepatitis A outbreaks. By using Healthcare Cost and Utilization Project data, we estimated the average costs per hepatitis A-related hospitalization in 2017. These estimates can guide investment in outbreak prevention efforts to stop the spread of this vaccine-preventable disease.

PURPOSE: Pre-exposure prophylaxis (PrEP) has been proven safe and effective in preventing HIV among adolescent sexual minority males (ASMM), but the cost-effectiveness of PrEP in ASMM remains unknown. Building on a recent epidemiological network modeling study of PrEP among ASMM, we estimated the cost-effectiveness of PrEP use in a high prevalence U.S. setting with significant disparities in HIV between black and white ASMM. METHODS: Based on the estimated number of infections averted and the number of ASMM on PrEP from the previous model and published estimates of PrEP costs, HIV treatment costs, and quality-adjusted life years (QALYs) gained per infection prevented, we estimated the cost-effectiveness of PrEP use in black and white ASMM over 10 years using a societal perspective and lifetime horizon. Effectiveness was measured as lifetime QALYs gained. Cost estimates included 10-year PrEP costs and lifetime HIV treatment costs saved. Cost-effectiveness was measured as cost/QALY gained. Multiple sensitivity analyses were performed on key model input parameters and assumptions used. RESULTS: Under base-case assumptions, PrEP use yielded an incremental cost-effectiveness ratio of $33,064 per QALY in black ASMM and $427,788 per QALY in white ASMM. In all sensitivity analyses, the cost-effectiveness ratio of PrEP use remained <$100,000 per QALY in black ASMM and >$100,000 per QALY in white ASMM. CONCLUSIONS: We found favorable cost-effectiveness ratios for PrEP use among black ASMM or other ASMM in communities with high HIV burden at current PrEP costs. Clinicians providing services in high-prevalence communities, and particularly those serving high-prevalence communities of color, should consider including PrEP services.

OBJECTIVE: To estimate the cost of establishing and operating a comprehensive syringe service program (SSP) free to clients in the United States. METHODS: We identified the major cost components of a comprehensive SSP: (one-time start-up cost, and annual costs associated with personnel, operations, and prevention/medical services) and estimated the anticipated total costs (2016 US dollars) based on program size (number of clients served each year) and geographic location of the service (rural, suburban, and urban). RESULTS: The estimated costs ranged from $0.4 million for a small rural SSP (serving 250 clients) to $1.9 million for a large urban SSP (serving 2,500 clients), of which 1.6% and 0.8% is the start-up cost of a small rural and large urban SSP, respectively. Cost per syringe distributed varied from $3 (small urban SSP) to $1 (large rural SSP), and cost per client per year varied from $2000 (small urban SSP) to $700 (large rural SSP). CONCLUSIONS: Estimates of the cost of SSPs in the United States vary by number of clients served and geographic location of service. Accurate costing can be useful for planning programs, developing policy, allocating funds for establishing and supporting SSPs, and providing data for economic evaluation of SSPs.

Background:Violent crime rates are often correlated with the hard-to-measure social determinants of sexually transmissible infections (STIs). In this study, we examined whether including violent crime rate as an independent variable can improve the quality of ecological regression models of STIs. Methods: We obtained multiyear (2008-12) cross-sectional county-level data on violent crime and three STIs (chlamydia, gonorrhoea, and primary and secondary (P&S) syphilis) from counties in all the contiguous states in the US (except Illinois and Florida, due to lack of data). We used two measures of STI morbidity (one categorical and one continuous) and applied spatial regression with the spatial error model for each STI, with and without violent crime rate as an independent variable. We computed the associated Akaike's information criterion (AIC) and Bayesian information criterion (BIC) as our measure of the relative goodness of fit of the models. Results: Including the violent crime rate as an independent variable improved the quality of the regression models after controlling for several sociodemographic factors. We found that the lower calculated AICs and BICs indicated more favourable goodness of fit in all the models that included violent crime rates, except for the categorical P&S syphilis model, in which the violent crime variable was not statistically significant. Conclusion: Because violent crime rates can account for the hard-to-measure social determinants of STIs, including violent crime rate as an independent variable can improve ecological regression models of STIs.

OBJECTIVE: To estimate the number and cost of hospitalizations with a diagnosis of active tuberculosis (TB) disease in the United States. METHODS: We analyzed the 2014 National In-Patient Sample using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) codes to identify hospitalizations with a principal (TB-PD) or any secondary discharge (TB-SD) TB diagnosis. We used a generalized linear model with log link and gamma distribution to estimate the cost per TB-PD and TB-SD episode adjusted for patient demographics, insurer, clinical elements, and hospital characteristics. RESULTS: We estimated 4985 TB-PD and 6080 TB-SD hospitalizations nationwide. TB-PD adjusted averaged $16 695 per episode (95%CI $16 168-$17 221). The average for miliary/disseminated TB ($22 498, 95%CI $21 067-$23 929) or TB of the central nervous system ($28 338, 95%CI $25 836-$30 840) was significantly greater than for pulmonary TB ($14 819, 95%CI $14 284-$15 354). The most common principal diagnoses for TB-SD were septicemia (n = 965 hospitalizations), human immunodeficiency virus infection (n = 610), pneumonia (n = 565), and chronic obstructive pulmonary disease and bronchiectasis (COPD-B, n = 150). The adjusted average cost per TB-SD episode was $15 909 (95%CI $15 337-$16 481), varying between $8687 (95%CI $8337-$9036) for COPD-B and $23 335 (95%CI $21 979-$24 690) for septicemia. TB-PD cost the US health care system $123.4 million (95%CI $106.3-$140.5) and TB-SD cost $141.9 million ($128.4-$155.5), of which Medicaid/Medicare covered respectively 67.2% and 69.7%. CONCLUSIONS: TB hospitalizations result in substantial costs within the US health care system.

BACKGROUND: National trends in syphilis rates among females delivering newborns are not well characterized. We assessed 2010-2014 trends in syphilis diagnoses documented on discharge records and associated factors among females who have given birth in US hospitals. METHODS: We calculated quarterly trends in syphilis rates (per 100,000 deliveries) by using ICD-9 codes on delivery discharge records from the National Inpatient Sample. Changes in trends were determined by using Joinpoint software. We estimated relative risks (RR) to assess the association of syphilis diagnoses with race/ethnicity, age, insurance status, household income, and census region. RESULTS: Overall, estimated syphilis rates decreased during 2010-2012 at 1.0% per quarter (P < .001) and increased afterwards at 1.8% (P < .001). The syphilis rate increase was statistically significant across all sociodemographic groups and all US regions, with substantial increases identified among whites (35.2% per quarter; P < .001) and Medicaid recipients (15.1%; P < .001). In 2014, the risk of syphilis diagnosis was greater among blacks (RR, 13.02; 95% confidence interval [CI], 9.46-17.92) or Hispanics (RR, 4.53; 95% CI, 3.19-6.42), compared with whites; Medicaid recipients (RR, 4.63; 95% CI, 3.38-6.33) or uninsured persons (RR, 2.84; 95% CI, 1.74-4.63), compared with privately insured patients; females with the lowest household income (RR, 5.32; 95% CI, 3.55-7.97), compared with the highest income; and females in the South (RR, 2.42; 95% CI, 1.66-3.53), compared with the West. CONCLUSIONS: Increasing syphilis rates among pregnant females of all backgrounds reinforce the importance of prenatal screening and treatment.

This paper examines the liability and labeling approaches to regulating product safety. Stronger product liability increases producer care, which then has a negative lulling effect on consumer attention to warning labels. By contrast, more visible warning labels increase such consumer care, which then has a positive vigilance effect on producer care. Information campaigns educating consumers about product risks generate a similar vigilance effect. This happens because consumers view producer care and consumer care levels as strategic substitutes, while the firm views them as strategic complements. We argue that when a public policy is chosen, the endogeneity of consumer attention to warnings is not to be overlooked.