At-home specimen self-collection as an additional testing strategy for chlamydia and gonorrhoea: a systematic literature review and meta-analysis.

INTRODUCTION: Chlamydia trachomatis (Ct) and Neisseria gonorrhoeae (Ng) infections are often asymptomatic; screening increases early detection and prevents disease, sequelae and further spread. To increase Ct and Ng testing, several countries have implemented specimen self-collection outside a clinical setting. While specimen self-collection at home is highly acceptable to patients and as accurate as specimens collected by healthcare providers, this strategy is new or not being used in some countries. To understand how offering at home specimen self-collection will affect testing uptake, test results, diagnosis and linkage to care, when compared with collection in clinical settings, we conducted a systematic literature review and meta-analysis of peer-reviewed studies. METHODS: We searched Medline, Embase, Global Health, Cochrane Library, CINAHL (EBSCOHost), Scopus and Clinical Trials. Studies were included if they directly compared specimens self-collected at home or in other non-clinical settings to specimen collection at a healthcare facility (self or clinician) for Ct and/or Ng testing and evaluated the following outcomes: uptake in testing, linkage to care, and concordance (agreement) between the two settings for the same individuals. Risk of bias (RoB) was assessed using Cochrane Risk of Bias (RoB2) tool for randomised control trials (RCTs). RESULTS: 19 studies, from 1998 to 2024, comprising 15 RCTs with a total of 62 369 participants and four concordance studies with 906 participants were included. Uptake of Ct or Ng testing was 2.61 times higher at home compared with clinical settings. There was a high concordance between specimens collected at home and in clinical settings, and linkage to care was not significantly different between the two settings (prevalence ratio 0.96 (95% CI 0.91-1.01)). CONCLUSION: Our meta-analysis and systematic literature review show that offering self-collection of specimens at home or in other non-clinical settings could be used as an additional strategy to increase sexually transmitted infection testing in countries that have not yet widely adopted this collection method.

Advantages and limitations of current diagnostic laboratory approaches in syphilis and congenital syphilis.

INTRODUCTION: The reemergence of syphilis, especially congenital syphilis, presents a significant public health threat. Accurate diagnosis of syphilis depends on recognition of a constellation of symptoms, review of medical and sexual history, and multiple laboratory tests. While reliable, current tests for syphilis can be difficult to interpret, which can lead to delays in treatment. AREA COVERED: This review summarizes the major advantages and limitations of available diagnostic laboratory methods for syphilis, provides an update on recent advances in laboratory tools, and highlights the urgent need for coordinated efforts to create new tools to halt the resurgence of syphilis. EXPERT OPINION: In syphilis, the wide variety of short-lived signs and symptoms followed by periods of latency create diagnostic challenges. Currently available laboratory tests, when positive, require additional information to interpret (prior testing, treatment, and sexual history). Point-of-care tests that can rapidly and accurately detect both treponemal and non-treponemal antibodies would be a huge step toward reducing test turnaround time and time to treatment. Incorporating biological insights and technology innovations to advance the development of direct detection assays is urgently needed. A comprehensive coordinated effort is critical to stem the tide of rising syphilis in the United States and globally.

Experiences with COVID-19 case investigation and contact tracing: A qualitative analysis.

Case investigation and contact tracing (CI/CT) is a critical part of the public health response to COVID-19. Individuals' experiences with CI/CT for COVID-19 varied based on geographic location, changes in knowledge and guidelines, access to testing and vaccination, as well as demographic characteristics including age, race, ethnicity, income, and political ideology. In this paper, we explore the experiences and behaviors of adults with positive SARS-CoV-2 test results, or who were exposed to a person with COVID-19, to understand their knowledge, motivations, and facilitators and barriers to their actions. We conducted focus groups and one-on-one interviews with 94 cases and 90 contacts from across the United States. We found that participants were concerned about infecting or exposing others, which motivated them to isolate or quarantine, notify contacts, and get tested. Although most cases and contacts were not contacted by CI/CT professionals, those who were reported a positive experience and received helpful information. Many cases and contacts reported seeking information from family, friends, health care providers, as well as television news and Internet sources. Although participants reported similar perspectives and experiences across demographic characteristics, some highlighted inequities in receiving COVID-19 information and resources.

Identification of United States Counties at Elevated Risk for Congenital Syphilis Using Predictive Modeling and a Risk Scoring System, 2018.

BACKGROUND: The persistence of congenital syphilis (CS) remains an important concern in the United States. We use the 2018 data to refine a previous predictive model that identifies US counties at elevated risk for CS in 2018. METHODS: Using county-level socioeconomic and health-related data from various sources, we developed a logistic regression predictive model to identify county-level factors associated with a county having had 1 or more CS case reported to the National Notifiable Diseases Surveillance System in 2018. We developed a risk scoring algorithm, identified the optimal risk score cutpoint to identify counties at elevated risk, and calculated the live birth to CS case ratio for counties by predicted risk level to compare counties at elevated risk with counties not at elevated risk. RESULTS: We identified several county-level factors associated with a county having 1 or more CS case in 2018 (area under the curve, 88.6%; Bayesian information criterion, 1551.1). Using a risk score cutoff of 8 or higher (sensitivity, 83.2%; specificity, 79.4%), this model captured 94.7% (n = 1,253) of CS cases born in 2018 and identified 850 (27%) counties as being at elevated risk for CS. The live birth to CS case ratio was lower in counties identified as at elevated risk (2,482) compared with counties categorized as not at elevated risk (10,621). CONCLUSIONS: Identifying which counties are at highest risk for CS can help target prevention efforts and interventions. The relatively low live birth to CS case ratio in elevated risk counties suggests that implementing routine 28-week screening among pregnant women in these counties may be an efficient way to target CS prevention efforts.

Impact of the COVID-19 Pandemic on Centers for Disease Control and Prevention-Funded Sexually Transmitted Disease Programs.

ABSTRACT: The COVID-19 pandemic impacted sexually transmitted disease (STD) services. Of 59 US-funded STD programs, 91% reported a great deal to moderate impact from staff reassignment in April 2020, with 28% of respondents reporting permanent reassignment of disease intervention specialist staff. Telemedicine was implemented in 47%. Decreases in STD case reports were reported by most jurisdictions.

COVID-19 Case Investigation and Contact Tracing Efforts from Health Departments - United States, June 25-July 24, 2020.

Case investigation and contact tracing are core public health tools used to interrupt transmission of pathogens, including SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19); timeliness is critical to effectiveness (1,2). In May 2020, CDC funded* 64 state, local, and territorial health departments† to support COVID-19 response activities. As part of the monitoring process, case investigation and contact tracing metrics for June 25-July 24, 2020, were submitted to CDC by 62 health departments. Descriptive analyses of case investigation and contact tracing load, timeliness, and yield (i.e., the number of contacts elicited divided by the number of patients prioritized for interview) were performed. A median of 57% of patients were interviewed within 24 hours of report of the case to a health department (interquartile range [IQR] = 27%-82%); a median of 1.15 contacts were identified per patient prioritized for interview§ (IQR = 0.62-1.76), and a median of 55% of contacts were notified within 24 hours of identification by a patient (IQR = 32%-79%). With higher caseloads, the percentage of patients interviewed within 24 hours of case report was lower (Spearman coefficient = -0.68), and the number of contacts identified per patient prioritized for interview also decreased (Spearman coefficient = -0.60). The capacity to conduct timely contact tracing varied among health departments, largely driven by investigators' caseloads. Incomplete identification of contacts affects the ability to reduce transmission of SARS-CoV-2. Enhanced staffing capacity and ability and improved community engagement could lead to more timely interviews and identification of more contacts.

Surveillance for Emerging Threats to Pregnant Women and Infants.

Recent public health emergencies have highlighted the unique vulnerabilities of pregnant women and infants to emerging health threats and the critical role of public health surveillance. Surveillance systems can collect critical data to measure the impact of a disease or disaster and can be used to inform clinical guidance and prevention strategies. These systems can also be tailored to collect data on vulnerable populations, such as pregnant women and their infants. Novel surveillance systems to assess risks and outcomes of pregnant women and infants have been established during public health emergencies but typically cease data collection once the public health response has ended, limiting our ability to collect data to understand longer-term outcomes. State-based birth defects surveillance systems are not available in all states, and no national surveillance system linking pregnancy exposure data to longitudinal outcomes for infants and children exists. In this report, we describe ongoing surveillance efforts to monitor congenital syphilis, Zika virus infection during pregnancy, and neonatal abstinence syndrome. We describe the need and rationale for an ongoing integrated surveillance system to monitor pregnant women and their infants and to detect emerging threats. We also discuss how data collected through this type of system can better position federal, state, and local health departments to more rapidly and comprehensively respond to the next public health emergency.

CDC Grand Rounds: Improving Medication Adherence for Chronic Disease Management - Innovations and Opportunities.

Adherence to prescribed medications is associated with improved clinical outcomes for chronic disease management and reduced mortality from chronic conditions (1). Conversely, nonadherence is associated with higher rates of hospital admissions, suboptimal health outcomes, increased morbidity and mortality, and increased health care costs (2). In the United States, 3.8 billion prescriptions are written annually (3). Approximately one in five new prescriptions are never filled, and among those filled, approximately 50% are taken incorrectly, particularly with regard to timing, dosage, frequency, and duration (4). Whereas rates of nonadherence across the United States have remained relatively stable, direct health care costs associated with nonadherence have grown to approximately $100-$300 billion of U.S. health care dollars spent annually (5,6). Improving medication adherence is a public health priority and could reduce the economic and health burdens of many diseases and chronic conditions (7).

CDC Grand Rounds: Addressing Health Disparities in Early Childhood.

Research suggests that many disparities in overall health and well-being are rooted in early childhood (1,2). Stressors in early childhood can disrupt neurologic, metabolic, and immunologic systems, leading to poorer developmental outcomes (1). However, consistent, responsive caregiving relationships and supportive community and health care environments promote an optimal trajectory (3,4). The first 8 years of a child's life build a foundation for future health and life success (5-7). Thus, the cumulative and lifelong impact of early experiences, both positive and negative, on a child's development can be profound. Although the health, social service, and education systems that serve young children and their families and communities provide opportunities to support responsive relationships and environments, efforts by these systems are often fragmented because of restrictions that limit the age groups they can serve and types of services they can provide. Integrating relationship-based prevention and intervention services for children early in life, when the brain is developing most rapidly, can optimize developmental trajectories (4,7). By promoting collaboration and data-driven intervention activities, public health can play a critical role in both the identification of at-risk children and the integration of systems that can support healthy development. These efforts can address disparities by reducing barriers that might prevent children from reaching their full potential.

CDC Grand Rounds: Public Health Strategies to Prevent and Treat Strokes.

Worldwide, stroke is the second leading cause of death and a leading cause of serious long-term disability. In the United States, nearly 800,000 strokes occur each year; thus stroke is the fifth leading cause of death overall and the fourth leading cause of death among women (1). Major advances in stroke prevention through treatment of known risk factors has led to stroke being considered largely preventable. For example, in the United States, stroke mortality rates have declined 70% over the past 50 years, in large part because of important reductions in hypertension, tobacco smoking, and more recently, increased use of anticoagulation for atrial fibrillation (2,3). Although the reduction in stroke mortality is recognized as one of the 10 great public health achievements of the 20th century (4), gains can still be made. Approximately 80% of strokes could be prevented by screening for and addressing known risks with measures such as improving hypertension control, smoking cessation, diabetes prevention, cholesterol management, increasing use of anticoagulation for atrial fibrillation, and eliminating excessive alcohol consumption (5,6).

CDC Grand Rounds: Modeling and Public Health Decision-Making.

Mathematical models incorporate various data sources and advanced computational techniques to portray real-world disease transmission and translate the basic science of infectious diseases into decision-support tools for public health. Unlike standard epidemiologic methods that rely on complete data, modeling is needed when there are gaps in data. By combining diverse data sources, models can fill gaps when critical decisions must be made using incomplete or limited information. They can be used to assess the effect and feasibility of different scenarios and provide insight into the emergence, spread, and control of disease. During the past decade, models have been used to predict the likelihood and magnitude of infectious disease outbreaks, inform emergency response activities in real time (1), and develop plans and preparedness strategies for future events, the latter of which proved invaluable during outbreaks such as severe acute respiratory syndrome and pandemic influenza (2-6). Ideally, modeling is a multistep process that involves communication between modelers and decision-makers, allowing them to gain a mutual understanding of the problem to be addressed, the type of estimates that can be reliably generated, and the limitations of the data. As models become more detailed and relevant to real-time threats, the importance of modeling in public health decision-making continues to grow.

CDC Grand Rounds: Public Health Strategies to Prevent Preterm Birth.

Preterm birth (delivery before 37 weeks and 0/7 days of gestation) is a leading cause of infant morbidity and mortality in the United States. In 2013, 11.4% of the nearly 4 million U.S. live births were preterm; however, 36% of the 8,470 infant deaths were attributed to preterm birth (1). Infants born at earlier gestational ages, especially <32 0/7 weeks, have the highest mortality (Figure) and morbidity rates. Morbidity associated with preterm birth includes respiratory distress syndrome, necrotizing enterocolitis, and intraventricular hemorrhage; longer-term consequences include developmental delay and decreased school performance. Risk factors for preterm delivery include social, behavioral, clinical, and biologic characteristics (Box). Despite advances in medical care, racial and ethnic disparities associated with preterm birth persist. Reducing preterm birth, a national public health priority (2), can be accomplished by implementing and monitoring strategies that target modifiable risk factors and populations at highest risk, and by providing improved quality and access to preconception, prenatal, and interconception care through implementation of strategies with potentially high impact.

CDC Grand Rounds: Addressing Preparedness Challenges for Children in Public Health Emergencies.

Recent public health emergencies including Hurricane Katrina (2005), the influenza H1N1 pandemic (2009), and the Ebola virus disease outbreak in West Africa (2014­2015) have demonstrated the importance of multiple-level emergency planning and response. An effective response requires integrating coordinated contributions from community-based health care providers, regional health care coalitions, state and local health departments, and federal agency initiatives. This is especially important when planning for the needs of children, who make up 23% of the U.S. population (1) and have unique needs that require unique planning strategies.

Perfluorooctanoate exposure and major birth defects.

Perfluorooctanoate (PFOA) is detectable in umbilical cord blood and amniotic fluid. Some toxicological findings suggest that perfluoroalkyl substances may be teratogenic. Using data from the C8 Health Project, a 2005-2006 survey in a Mid-Ohio Valley community exposed to PFOA through contaminated drinking water, we examined the association between estimated prenatal PFOA concentration and maternally reported birth defects (n=325) among 10,262 live singleton or multiple births from 1990 to 2006. Logistic regression models accounted for siblings using generalized estimating equations. There was generally no association between estimated PFOA concentration and birth defects, with the possible exception of brain defects, where the odds ratio adjusted for year of conception was 2.6 (95% confidence interval 1.3-5.1) for an increase in estimated PFOA exposure from the 25th to 75th percentile. This estimate, however, was based on 13 cases and may represent a chance finding. Further investigation of this potential association may be warranted.

Medications in the first trimester of pregnancy: most common exposures and critical gaps in understanding fetal risk.

PURPOSE: To determine which medications are most commonly used by women in the first trimester of pregnancy and identify the critical gaps in information about fetal risk for those medications. METHODS: Self-reported first-trimester medication use was assessed among women delivering liveborn infants without birth defects and serving as control mothers in two large case-control studies of major birth defects. The Teratology Information System (TERIS) expert Advisory Board ratings of quality and quantity of data available to assess fetal risk were reviewed to identify information gaps. RESULTS: Responses from 5381 mothers identified 54 different medication components used in the first trimester by at least 0.5% of pregnant women, including 31 prescription and 23 over-the-counter medications. The most commonly used prescription medication components reported were progestins from oral contraceptives, amoxicillin, progesterone, albuterol, promethazine, and estrogenic compounds. The most commonly used over-the-counter medication components reported were acetaminophen, ibuprofen, docusate, pseudoephedrine, aspirin, and naproxen. Among the 54 most commonly used medications, only two had "Good to Excellent" data available to assess teratogenic risk in humans, based on the TERIS review. CONCLUSIONS: For most medications commonly used in pregnancy, there are insufficient data available to characterize the fetal risk fully, limiting the opportunity for informed clinical decisions about the best management of acute and chronic disorders during pregnancy. Future research efforts should be directed at these critical knowledge gaps.

Health care expenditures among children with and those without spina bifida enrolled in Medicaid in North Carolina.

BACKGROUND: National data on health care use among children with special needs are limited and do not address children with spina bifida (SB). One recent study examined health care costs during 2003 among privately insured individuals with SB. Our objective was to compare health care use and expenditures among publicly insured children with SB to children without a major birth defect and among children with SB with and without hydrocephalus. METHODS: Data from the North Carolina Birth Defects Monitoring Program and Medicaid were linked to identify continuously enrolled children with SB (case children) and children without a major birth defect (control children) born from 1995 to 2002. Medicaid expenditures per child for medical, inpatient, outpatient, dental, well-child care, developmental/behavioral services, and home health for those aged 0 to 4 years old were calculated for case and control children and for case children with and without hydrocephalus. RESULTS: Of 373 case children who survived infancy, 205 (55%) were enrolled in Medicaid. Expenditures were assessed for 144 case and 5674 control children aged 0 to 4 years old continuously enrolled in Medicaid. During infancy, mean expenditure was $33,135 per child with SB and $3900 per unaffected child. The biggest relative expenditures were for developmental/behavioral services (82 times higher for case than control child [$1401 vs. $17]) and home health services (20 times higher [$821 vs. $41]). Average expenditure for an infant with SB and hydrocephalus was 2.6 times higher than an infant with SB without hydrocephalus ($40,502 vs. $15,699). CONCLUSIONS: Expenditure comparisons by SB subtype are important for targeting health care resources.