Testing trends and co-testing patterns for HIV, hepatitis C and sexually transmitted infections (STIs) in Emergency departments.

Background: Many underserved populations use Emergency Department (EDs) as primary sources of care, representing an important opportunity to provide infectious disease testing and linkage to care. We explored national ED testing trends and co-testing patterns for HIV, hepatitis C, and sexually transmitted infections (STIs). Methods: We used 2010-2019 Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample data to estimate ED visit testing rates for HIV, hepatitis C, chlamydia, gonorrhea, and syphilis infections, identified by Current Procedural Terminology codes. Trends and co-testing (visit with tests for > 1 infection) patterns were analyzed by sociodemographic, hospital, and visit characteristics. Trends were evaluated as the average annual percentage change (AAPC) using the Joinpoint Regression. Results: During 2010-2019, testing events per 1000 visits (AAPCs) increased for HIV from 1.3 to 4.2 (16.3 %), hepatitis C from 0.4 to 2.2 (25.1 %), chlamydia from 9.1 to 16.0 (6.6 %), gonorrhea from 8.4 to 15.7 (7.4 %), and syphilis from 0.7 to 2.0 (12.9 %). Rate increases varied by several characteristics across infections. The largest AAPC increases were among visits by groups with lower base rate testing in 2010, including persons aged ≥ 65 years (HIV: 36.4 %), with Medicaid (HIV: 43.8 %), in the lowest income quintile (hepatitis C: 36.9 %), living in the West (syphilis: 49.4 %) and with non-emergency diagnoses (hepatitis C: 44.1 %). Co-testing increased significantly for all infections except hepatitis C. Conclusions: HIV, hepatitis C, and STI testing increased in EDs during 2010-2019; however, co-testing patterns were inconsistent. Co-testing may improve diagnosis and linkage to care, especially in areas experiencing higher rates of infection.

Disease Intervention Specialist-Delivered Interventions and Other Partner Services for HIV and Sexually Transmitted Infections: A Systematic Review.

INTRODUCTION: Disease intervention specialists (DIS) are critical for delivering partner services programs that provide partner notification, counseling, referral, and other services for HIV, sexually transmitted infections (STIs), and other infections. This systematic review of partner services and other DIS-delivered interventions for HIV and STIs was conducted to summarize the effectiveness of these programs and identify evidence gaps. METHODS: A systematic literature review was conducted with a narrative synthesis. Articles were located using keyword searches in MEDLINE, Web of Science, CINAHL, and ProQuest through December 2022 and analyzed in 2023-2024. Included studies addressed an intervention of partner services or other DIS-delivered services for HIV or STIs; a United States setting; primary data collection; and an external comparison group or pre-post design. RESULTS: A total of 1,915 unique records were screened for eligibility, with 30 studies included. Overall, DIS-delivered interventions improved clinical outcomes among index patients and population outcomes. Many studies focused on program process measures rather than population-level epidemiologic outcomes. All but one studies were scored as having low or medium strength of evidence. CONCLUSIONS: The evidence could be strengthened by establishing a streamlined set of core metrics, assessing impact using rigorous causal inference methodologies, linking program and clinical data systems, and supplementing impact evaluations with evidence on implementation strategies.

Assessing thresholds of resistance prevalence at which empiric treatment of gonorrhea should change among men who have sex with men in the US: A cost-effectiveness analysis.

BACKGROUND: Since common diagnostic tests for gonorrhea do not provide information about susceptibility to antibiotics, treatment of gonorrhea remains empiric. Antibiotics used for empiric therapy are usually changed once resistance prevalence exceeds a certain threshold (e.g., 5%). A low switch threshold is intended to increase the probability that an infection is successfully treated with the first-line antibiotic, but it could also increase the pace at which recommendations are switched to newer antibiotics. Little is known about the impact of changing the switch threshold on the incidence of gonorrhea, the rate of treatment failure, and the overall cost and quality-adjusted life-years (QALYs) associated with gonorrhea. METHODS AND FINDINGS: We developed a transmission model of gonococcal infection with multiple resistant strains to project gonorrhea-associated costs and loss in QALYs under different switch thresholds among men who have sex with men (MSM) in the United States. We accounted for the costs and disutilities associated with symptoms, diagnosis, treatment, and sequelae, and combined costs and QALYs in a measure of net health benefit (NHB). Our results suggest that under a scenario where 3 antibiotics are available over the next 50 years (2 suitable for the first-line therapy of gonorrhea and 1 suitable only for the retreatment of resistant infections), changing the switch threshold between 1% and 10% does not meaningfully impact the annual number of gonorrhea cases, total costs, or total QALY losses associated with gonorrhea. However, if a new antibiotic is to become available in the future, choosing a lower switch threshold could improve the population NHB. If in addition, drug-susceptibility testing (DST) is available to inform retreatment regimens after unsuccessful first-line therapy, setting the switch threshold at 1% to 2% is expected to maximize the population NHB. A limitation of our study is that our analysis only focuses on the MSM population and does not consider the influence of interventions such as vaccine and common use of rapid drugs susceptibility tests to inform first-line therapy. CONCLUSIONS: Changing the switch threshold for first-line antibiotics may not substantially change the health and financial outcomes associated with gonorrhea. However, the switch threshold could be reduced when newer antibiotics are expected to become available soon or when in addition to future novel antibiotics, DST is also available to inform retreatment regimens.

Sexually Transmitted Infection and HIV Testing and Diagnosis Among 15- to 44-Year-Old Patients With and Without Opioid Use Disorder.

BACKGROUND: The association between illicit opioid use and prescription opioid misuse and sexually transmitted infections (STIs) has not been examined recently. Our study aimed to explore differences in STI/HIV care, and delivery of recommended testing and diagnoses among patients with and without opioid use disorder (OUD). METHODS: Using 2019 MarketScan commercial claims data, we identified 15- to 44-year-old male and female patients, to assess the percentages of STI/HIV diagnoses (using International Classification of Diseases, Tenth Revision, Clinical Modification ) and screening (using Current Procedure Terminology codes) among patients with or without OUD diagnoses codes. We further assessed STI/HIV testing and diagnoses by demographic factors. RESULTS: We identified 24,724 patients with OUD codes among 7.31 million patients. Both STI/HIV testing and diagnoses were significantly ( P < 0.05) higher among patients with OUD codes versus without: testing percentages were 16.81% versus 12.93% for chlamydia, 22.31% versus 16.62% for gonorrhea, 15.26% versus 7.61% for syphilis, and 18.18% versus 7.60% for HIV; diagnoses were 0.80% versus 0.35% for chlamydia, 0.30% versus 0.11% for gonorrhea, 0.23% versus 0.07% for syphilis, and 0.74% versus 0.33% for HIV. Similarly, among 0.53 million 15- to 24-year-old females who received services suggestive of sexual activity, chlamydia testing was significantly ( P < 0.05) higher among patients with OUD codes versus without (59.78% vs. 55.66%). CONCLUSIONS: Patients with OUD codes have higher percentages of STI/HIV testing and diagnoses codes compared with those without OUD codes. Clinicians may want to consider a comprehensive multidisciplinary (OUD and STI prevention) approach in patient care and provide recommended STI/HIV screening among patients with OUD if not performed.

Estimates of the Lifetime Productivity Costs of Chlamydia, Gonorrhea, and Syphilis in the United States.

BACKGROUND: Productivity costs of sexually transmitted infections (STIs) reflect the value of lost time due to STI morbidity and mortality, including time spent traveling to, waiting for, and receiving STI treatment. The purpose of this study was to provide updated estimates of the average lifetime productivity cost for chlamydia, gonorrhea, and syphilis, per incident infection. METHODS: We adapted published decision tree models from recent studies of the lifetime medical costs of chlamydia, gonorrhea, and syphilis in the United States. For each possible outcome of infection, we applied productivity costs that we obtained based on published health economic studies. Productivity costs included the value of patient time spent to receive treatment for STIs and for related sequelae such as pelvic inflammatory disease in women. We used a human capital approach and included losses in market (paid) and nonmarket (unpaid) productivity. We conducted 1-way sensitivity analyses and probabilistic sensitivity analyses. RESULTS: The average lifetime productivity cost per infection was $28 for chlamydia in men, $205 for chlamydia in women, $37 for gonorrhea in men, $212 for gonorrhea in women, and $411 for syphilis regardless of sex, in 2023 US dollars. The estimated lifetime productivity cost of these STIs acquired in the United States in 2018 was $795 million. CONCLUSIONS: These estimates of the lifetime productivity costs can help in quantifying the overall economic burden of STIs in the United States beyond just the medical cost burden and can inform cost-effectiveness analyses of STI prevention activities.

An Interactive Modeling Tool for Projecting the Health and Direct Medical Cost Impact of Changes in the Sexually Transmitted Diseases Prevention Program Budgets.

CONTEXT: Estimating the return on investment for public health services, tailored to the state level, is critical for demonstrating their value and making resource allocation decisions. However, many health departments have limited staff capacity and expertise to conduct economic analyses in-house. PROGRAM: We developed a user-friendly, interactive Excel-based spreadsheet model that health departments can use to estimate the impact of increases or decreases in sexually transmitted infection (STI) prevention funding on the incidence and direct medical costs of chlamydia, gonorrhea, syphilis, and STI-attributable HIV infections. Users tailor results to their jurisdictions by entering the size of their population served; the number of annual STI diagnoses; their prior annual funding amount; and their anticipated new funding amount. The interface was developed using human-centered design principles, including focus groups with 15 model users to collect feedback on an earlier model version and a usability study on the prototype with 6 model users to finalize the interface. IMPLEMENTATION: The STI Prevention Allocation Consequences Estimator ("SPACE Monkey 2.0") model will be publicly available as a free downloadable tool. EVALUATION: In the usability testing of the prototype, participants provided overall positive feedback. They appreciated the clear interpretations, outcomes expressed as direct medical costs, functionalities to interact with the output and copy charts into external applications, visualization designs, and accessible information about the model's assumptions and limitations. Participants provided positive responses to a 10-item usability evaluation survey regarding their experiences with the prototype. DISCUSSION: Modeling tools that synthesize literature-based estimates and are developed with human-centered design principles have the potential to make evidence-based estimates of budget changes widely accessible to health departments.

The Impact of Rapid Drug Susceptibility Tests on Gonorrhea Burden and the Life Span of Antibiotic Treatments: A Modeling Study Among Men Who Have Sex With Men in the United States.

Rapid point-of-care tests that diagnose gonococcal infections and identify susceptibility to antibiotics enable individualized treatment. This could improve patient outcomes and slow the emergence and spread of antibiotic resistance. However, little is known about the long-term impact of such diagnostics on the burden of gonorrhea and the effective life span of antibiotics. We used a mathematical model of gonorrhea transmission among men who have sex with men in the United States to project the annual rate of reported gonorrhea cases and the effective life span of ceftriaxone, the recommended antibiotic for first-line treatment of gonorrhea, as well as 2 previously recommended antibiotics, ciprofloxacin and tetracycline, when a rapid drug susceptibility test that estimates susceptibility to ciprofloxacin and tetracycline is available. The use of a rapid drug susceptibility test with ≥50% sensitivity and ≥95% specificity, defined in terms of correct ascertainment of drug susceptibility and nonsusceptibility status, could increase the combined effective life span of ciprofloxacin, tetracycline, and ceftriaxone by at least 2 years over 25 years of simulation. If test specificity is imperfect, however, the increase in the effective life span of antibiotics is accompanied by an increase in the rate of reported gonorrhea cases even under perfect sensitivity.

Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19.

Introduction: During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The applicability and feasibility of building such a tool for sexually transmitted diseases were assessed. Methods: The key epidemiologic differences between sexually transmitted diseases and respiratory diseases (e.g., mixing patterns, incubation period, duration of infection, and the availability of treatment) were identified, and their implications for modeling case investigation and contact tracing impact with a simple spreadsheet tool were remarked on. Existing features of the COVID-19 tool that are applicable for evaluating the impact of case investigation and contact tracing for sexually transmitted diseases were also identified. Results: Our findings offer recommendations for the future development of a spreadsheet-based modeling tool for evaluating the impact of sexually transmitted disease case investigation and contact tracing efforts. Generally, we advocate for simplifying sexually transmitted disease-specific complexities and performing sensitivity analyses to assess uncertainty. The authors also acknowledge that more complex modeling approaches might be required but note that it is possible that a sexually transmitted disease case investigation and contact tracing tool could incorporate features from more complex models while maintaining a user-friendly interface. Conclusions: A sexually transmitted disease case investigation and contact tracing tool could benefit from the incorporation of key features of the COVID-19 model, namely its user-friendly interface. The inherent differences between sexually transmitted diseases and respiratory viruses should not be seen as a limitation to the development of such tool.

Resistance-minimising strategies for introducing a novel antibiotic for gonorrhoea treatment: a mathematical modelling study.

BACKGROUND: Gonorrhoea is a highly prevalent sexually transmitted infection and an urgent public health concern because of increasing antibiotic resistance in Neisseria gonorrhoeae. Only ceftriaxone remains as the recommended treatment in the USA. With the prospect of new anti-gonococcal antibiotics being approved, we aimed to evaluate how to deploy a new drug to maximise its clinically useful lifespan. METHODS: We used a compartmental model of gonorrhoea transmission in a US population of men who have sex with men (MSM) to compare strategies for introducing a new antibiotic for gonorrhoea treatment. The MSM population was stratified into three sexual activity groups (low, intermediate, and high) characterised by annual rates of partner change. The four introduction strategies tested were: (1) random 50-50 allocation, where each treatment-seeking infected individual had a 50% probability of receiving either drug A (current drug; a ceftriaxone-like antibiotic) or drug B (a new antibiotic), effective at time 0; (2) combination therapy of both the current drug and the new antibiotic; (3) reserve strategy, by which the new antibiotic was held in reserve until the current therapy reached a 5% threshold prevalence of resistance; and (4) gradual switch, or the gradual introduction of the new drug until random 50-50 allocation was reached. The primary outcome of interest was the time until 5% prevalence of resistance to each of the drugs (the new drug and the current ceftriaxone-like antibiotic); sensitivity of the primary outcome to the properties of the new antibiotic, specifically the probability of resistance emergence after treatment and the fitness costs of resistance, was explored. Secondary outcomes included the time to a 1% resistance threshold for each drug, as well as population-level prevalence, mean and range annual incidence, and the cumulative number of incident gonococcal infections. FINDINGS: Under baseline model conditions, a 5% prevalence of resistance to each of drugs A and B was reached within 13·9 years with the reserve strategy, 18·2 years with the gradual switch strategy, 19·2 years with the random 50-50 allocation strategy, and 19·9 years with the combination therapy strategy. The reserve strategy was consistently inferior for mitigating antibiotic resistance under the parameter space explored and was increasingly outperformed by the other strategies as the probability of de novo resistance emergence decreased and as the fitness costs associated with resistance increased. Combination therapy tended to prolong the development of antibiotic resistance and minimise the number of annual gonococcal infections (under baseline model conditions, mean number of incident infections per year 178 641 [range 177 998-181 731] with combination therapy, 180 084 [178 011-184 405] with the reserve strategy). INTERPRETATION: Our study argues for rapid introduction of new anti-gonococcal antibiotics, recognising that the feasibility of each strategy must incorporate cost, safety, and other practical concerns. The analyses should be revisited once robust estimates of key parameters-ie, the likelihood of emergence of resistance and fitness costs of resistance for the new antibiotic-are available. FUNDING: US Centers for Disease Control and Prevention, National Institute of Allergy and Infectious Diseases.

Lifetime quality-adjusted life years lost due to genital herpes acquired in the United States in 2018: a mathematical modeling study.

Background: Genital herpes (GH), caused by herpes simplex virus type 1 and type 2 (HSV-1, HSV-2), is a common sexually transmitted disease associated with adverse health outcomes. Symptoms associated with GH outbreaks can be reduced by antiviral medications, but the infection is incurable and lifelong. In this study, we estimate the long-term health impacts of GH in the United States using quality-adjusted life years (QALYs) lost. Methods: We used probability trees to model the natural history of GH secondary to infection with HSV-1 and HSV-2 among people aged 18-49 years. We modelled the following outcomes to quantify the major causes of health losses following infection: symptomatic herpes outbreaks, psychosocial impacts associated with diagnosis and recurrences, urinary retention caused by sacral radiculitis, aseptic meningitis, Mollaret's meningitis, and neonatal herpes. The model was parameterized based on published literature on the natural history of GH. We summarized losses of health by computing the lifetime number of QALYs lost per genital HSV-1 and HSV-2 infection, and we combined this information with incidence estimates to compute the total lifetime number of QALYs lost due to infections acquired in 2018 in the United States. Findings: We estimated 0.05 (95% uncertainty interval (UI) 0.02-0.08) lifetime QALYs lost per incident GH infection acquired in 2018, equivalent to losing 0.05 years or about 18 days of life for one person with perfect health. The average number of QALYs lost per GH infection due to genital HSV-1 and HSV-2 was 0.01 (95% UI 0.01-0.02) and 0.05 (95% UI 0.02-0.09), respectively. The burden of genital HSV-1 is higher among women, while the burden of HSV-2 is higher among men. QALYs lost per neonatal herpes infection was estimated to be 7.93 (95% UI 6.63-9.19). At the population level, the total estimated lifetime QALYs lost as a result of GH infections acquired in 2018 was 33,100 (95% UI 12,600-67,900) due to GH in adults and 3,140 (95% UI 2,260-4,140) due to neonatal herpes. Results were most sensitive to assumptions on the magnitude of the disutility associated with post-diagnosis psychosocial distress and symptomatic recurrences. Interpretation: GH is associated with substantial health losses in the United States. Results from this study can be used to compare the burden of GH to other diseases, and it provides inputs that may be used in studies on the health impact and cost-effectiveness of interventions that aim to reduce the burden of GH. Funding: The Center for Disease Control and Prevention.

Serial Interval and Incubation Period Estimates of Monkeypox Virus Infection in 12 Jurisdictions, United States, May-August 2022.

Using data from 12 US health departments, we estimated mean serial interval for monkeypox virus infection to be 8.5 (95% credible interval 7.3-9.9) days for symptom onset, based on 57 case pairs. Mean estimated incubation period was 5.6 (95% credible interval 4.3-7.8) days for symptom onset, based on 35 case pairs.

The Epidemiology and Costs of Disease Intervention Specialist Retention.

BACKGROUND: The COVID-19 pandemic changed the environment in which disease intervention specialists (DISs) operate, as their skills were in demand beyond sexually transmitted disease (STD) control programs. Workforce conditions generally have changed in the last 2 years, imposing additional challenges. Retaining STD DIS has become more difficult in the changed environment. MATERIALS AND METHODS: We conducted a landscape scan and obtained data from literature and personal observations to characterize current DIS workforce issues. We used published employment data to characterize current labor market conditions and described how cost-effectiveness analysis could be used to assess potential DIS retention interventions. An example illustrating cost-effectiveness concepts was developed. RESULTS: Many STD control programs faced difficulties in retaining STD DIS, because competing positions often could be done without field work. Economic and crime issues posed additional challenges. General workforce turnover has increased 33% since 2016. Turnover varies by age, sex, and education. Cost-effectiveness analysis can be used to assess DIS retention interventions, but data on costs and outcomes are needed on an ongoing basis. Changes in the workforce environment could impact both retention and the effectiveness of retention interventions. CONCLUSIONS: Workforce changes have impacted employee retention. Increased federal funding makes expansion of the DIS workforce possible, but the labor market environment will continue to pose challenges to recruitment and retention.

Impact of the Early COVID-19 Pandemic on the Number of HIV Preexposure Prophylaxis Uses and the Proportion of Preexposure Prophylaxis Users Receiving Sexually Transmitted Infection Testing Services.

BACKGROUND: With the potential impact of the COVID-19 pandemic on HIV preexposure prophylaxis (PrEP) care management, we assessed the number of PrEP users and sexually transmitted infection (STI) testing-eligible PrEP users, STI testing rates, and prevalence between prepandemic (January 1, 2018-March 31, 2020) and early-pandemic (April 1, 2020-September 30, 2020) periods. METHODS: In this retrospective cohort study, a PrEP user for a given quarter is defined as either a previous PrEP user or a PrEP initiator who has at least 1-day coverage of tenofovir/emtricitabine in the given quarter. The STI testing-eligible PrEP users for a given quarter were defined as those persons whose runout date (previous dispense date + days of tenofovir/emtricitabine supply) was in the given quarter. RESULTS: The quarterly number of PrEP users increased from the first quarter of 2018 to the first quarter of 2020 and then decreased in the second and third quarter of 2020. Among STI testing-eligible PrEP users who had ≤14 days between runout and next refill date, gonorrhea and chlamydia screening testing rates were 95.1% for prepandemic and 93.4% for early pandemic ( P = 0.1011). Among all STI testing-eligible PrEP users who were tested for gonorrhea and chlamydia, gonorrhea prevalence was 6.7% for prepandemic and 5.7% for early pandemic ( P = 0.3096), and chlamydia prevalence was 7.0% for prepandemic and 5.8% for early pandemic ( P = 0.2158). CONCLUSIONS: Although the early COVID-19 pandemic resulted in lower numbers of PrEP users and PrEP initiators, individuals who remained continuous users of PrEP maintained extremely high rates of bacterial STI screening. With high STI prevalence among PrEP users, assessments of PrEP care management are continuously needed.

The Estimated Lifetime Quality-Adjusted Life-Years Lost Due to Chlamydia, Gonorrhea, and Trichomoniasis in the United States in 2018.

BACKGROUND: Comprehensive evaluation of the quality-adjusted life-years (QALYs) lost attributable to chlamydia, gonorrhea, andtrichomoniasis in the United States is lacking. METHODS: We adapted a previous probability-tree model to estimate the average number of lifetime QALYs lost due to genital chlamydia, gonorrhea, and trichomoniasis, per incident infection and at the population level, by sex and age group. We conducted multivariate sensitivity analyses to address uncertainty around key parameter values. RESULTS: The estimated total discounted lifetime QALYs lost for men and women, respectively, due to infections acquired in 2018, were 1541 (95% uncertainty interval [UI], 186-6358) and 111 872 (95% UI, 29 777-267 404) for chlamydia, 989 (95% UI, 127-3720) and 12 112 (95% UI, 2 410-33 895) for gonorrhea, and 386 (95% UI, 30-1851) and 4576 (95% UI, 13-30 355) for trichomoniasis. Total QALYs lost were highest among women aged 15-24 years with chlamydia. QALYs lost estimates were highly sensitive to disutilities (health losses) of infections and sequelae, and to duration of infections and chronic sequelae for chlamydia and gonorrhea in women. CONCLUSIONS: The 3 sexually transmitted infections cause substantial health losses in the United States, particularly gonorrhea and chlamydia among women. The estimates of lifetime QALYs lost per infection help to prioritize prevention policies and inform cost-effectiveness analyses of sexually transmitted infection interventions.

Costs, Health Benefits, and Cost-Effectiveness of Chlamydia Screening and Partner Notification in the United States, 2000-2019: A Mathematical Modeling Analysis.

BACKGROUND: Chlamydia remains a significant public health problem that contributes to adverse reproductive health outcomes. In the United States, sexually active women 24 years and younger are recommended to receive annual screening for chlamydia. In this study, we evaluated the impact of estimated current levels of screening and partner notification (PN), and the impact of screening based on guidelines on chlamydia associated sequelae, quality adjusted life years (QALYs) lost and costs. METHODS: We conducted a cost-effectiveness analysis of chlamydia screening, using a published calibrated pair formation transmission model that estimated trends in chlamydia screening coverage in the United States from 2000 to 2015 consistent with epidemiological data. We used probability trees to translate chlamydial infection outcomes into estimated numbers of chlamydia-associated sequelae, QALYs lost, and health care services costs (in 2020 US dollars). We evaluated the costs and population health benefits of screening and PN in the United States for 2000 to 2015, as compared with no screening and no PN. We also estimated the additional benefits that could be achieved by increasing screening coverage to the levels indicated by the policy recommendations for 2016 to 2019, compared with screening coverage achieved by 2015. RESULTS: Screening and PN from 2000 to 2015 were estimated to have averted 1.3 million (95% uncertainty interval [UI] 490,000-2.3 million) cases of pelvic inflammatory disease, 430,000 (95% UI, 160,000-760,000) cases of chronic pelvic pain, 300,000 (95% UI, 104,000-570,000) cases of tubal factor infertility, and 140,000 (95% UI, 47,000-260,000) cases of ectopic pregnancy in women. We estimated that chlamydia screening and PN cost $9700 per QALY gained compared with no screening and no PN. We estimated the full realization of chlamydia screening guidelines for 2016 to 2019 to cost $30,000 per QALY gained, compared with a scenario in which chlamydia screening coverage was maintained at 2015 levels. DISCUSSION: Chlamydia screening and PN as implemented in the United States from 2000 through 2015 has substantially improved population health and provided good value for money when considering associated health care services costs. Further population health gains are attainable by increasing screening further, at reasonable cost per QALY gained.

Estimated Number of Incident HIV Infections in Men Who Have Sex With Men Attributable to Gonorrhea and Chlamydia, Per Gonococcal or Chlamydial Infection, in the United States.

Using a network model, we simulated transmission of HIV, gonorrhea, and chlamydia among men who have sex with men to estimate the number of HIV infections that can be attributed to gonorrhea and chlamydia, per gonococcal and chlamydial infection. This metric can inform future modeling and health economic studies.

Estimation of the Lifetime Quality-Adjusted Life Years (QALYs) Lost Due to Syphilis Acquired in the United States in 2018.

BACKGROUND: The purpose of this study was to estimate the health impact of syphilis in the United States in terms of the number of quality-adjusted life years (QALYs) lost attributable to infections in 2018. METHODS: We developed a Markov model that simulates the natural history and management of syphilis. The model was parameterized by sex and sexual orientation (women who have sex with men, men who have sex with women [MSW], and men who have sex with men [MSM]), and by age at primary infection. We developed a separate decision tree model to quantify health losses due to congenital syphilis. We estimated the average lifetime number of QALYs lost per infection, and the total expected lifetime number of QALYs lost due to syphilis acquired in 2018. RESULTS: We estimated the average number of discounted lifetime QALYs lost per infection as 0.09 (95% uncertainty interval [UI] .03-.19). The total expected number of QALYs lost due to syphilis acquired in 2018 was 13 349 (5071-31 360). Although per-case loss was the lowest among MSM (0.06), MSM accounted for 47.7% of the overall burden. For each case of congenital syphilis, we estimated 1.79 (1.43-2.16) and 0.06 (.01-.14) QALYs lost in the child and the mother, respectively. We projected 2332 (1871-28 250) and 79 (17-177) QALYs lost for children and mothers, respectively, due to congenital syphilis in 2018. CONCLUSIONS: Syphilis causes substantial health losses in adults and children. Quantifying these health losses in terms of QALYs can inform cost-effectiveness analyses and can facilitate comparisons of the burden of syphilis to that of other diseases.

"Deservingness" and Public Support for Universal Public Goods: A Survey Experiment.

Voters support less spending on means-tested entitlements when they perceive beneficiaries as lacking motivation to work and pay taxes. Yet do concerns about the motivations of "undeserving" beneficiaries also extend to universal public goods (UPGs) that are free and available to all citizens? Lower spending on UPGs poses a particular trade-off: it lessens subsidization of "unmotivated" beneficiaries, but at the expense of reducing the ideal levels of UPGs that voters personally can access. Studies suggest that individuals will sacrifice their preferred amounts of public goods when beneficiaries who do not pay taxes try to access these goods, but it is unclear whether they distinguish based on motivations. To analyze this question, we field a nationally representative survey experiment in the UK that randomly activates some respondents to think about users of the country's universal National Health Service as either "motivated" or "unmotivated" noncontributors. Although effect sizes were modest and spending preferences remained high across the board, results show that respondents support less spending on the NHS when activated to think of users as "unmotivated" noncontributors. These findings suggest how the deservingness heuristic may shape public attitudes toward government spending, regardless of whether benefits are targeted or universal.

Choosing the Emergency Department as an Alternative for STD Care: Potential Disparities in Access.

This analysis was designed to determine if there existed differences by race in seeking sexually transmitted disease (STD) care in an emergency department (ED). METHODS: Data were collected from 4,138 patients attending 26 STD clinics across the United States (U.S.). The questionnaire asked where the patient would have sought care if the STD clinic had not been available that day. Responses were stratified by race and differences were tested for statistical significance. RESULTS: Black/African American patients chose hospital emergency room as an alternative for STD clinic care at a rate approximately 2.5 times that of White patients (15.5% v. 5.8%, p < .05). This difference persisted among Black/African American patients after controlling for demographic variables (adjusted OR 2.91; 2.21-3.82 95% CI). DISCUSSION: Receiving appropriate care is key to stemming the increases in sexually transmitted infections in the U.S. These findings suggest that disparities in access to STD care exist for Black/African American people.