Risk-based Testing Research Articles

Comparing the effectiveness of universal admission testing and risk-based testing at emergency admission for preventing nosocomial COVID-19: a multicenter retrospective cohort study in Japan.

To compare the effectiveness of universal admission testing (UAT) and risk-based testing (RBT) in preventing nosocomial coronavirus disease 2019 (COVID-19) after the implementation of strict infection control measures. Retrospective multicenter cohort study. Five community hospitals in Japan. 14,028 adult patients admitted emergently from June 1, 2022, to January 31, 2023. We calculated crude incidence density rates of community-acquired COVID-19 (positive test ≤4days postadmission), hospital-acquired COVID-19 (positive test ≥8days postadmission), total postadmission COVID-19 (all cases of positive test postadmission), and primary cases (sporadic and index cases). A generalized estimating equation model was used to adjust for local incidence (new COVID-19 patients per 100,000 population), single-bed room proportion, and admission proportion of patients older than 65years. The weekly local incidence in the study areas was less than 1,800 per 100,000 population (1.8%). Two hospitals implemented RBT and 3 implemented UAT. The median admission testing rate was higher in the UAT group than in the RBT group (95% vs 55%; difference 45.2%, 95% CI, 40.3%-48.8%). Crude and adjusted analyses revealed no significant associations between incidence density rates (IRR; >1 indicates higher incidence with UAT) and admission strategies for any of the outcomes: community-acquired cases (adjusted IRR = 1.23; 95% CI,0.46-3.31), hospital-acquired cases (1.46; 0.80-2.66), total postadmission COVID-19 (1.22; 0.79-1.87), and primary cases (0.81; 0.59-1.12). Compared with risk-based testing, universal admission testing may have limited additional benefits in preventing nosocomial COVID-19 transmission during a period of low-moderate local incidence.

Adherence to guideline-recommended cardiac screening in Medicaid-enrolled survivors of childhood cancer: A report from the Childhood Cancer Survivor Study (CCSS).

56 Background: Childhood cancer survivors face increased risks of heart failure and myocardial dysfunction associated with cancer treatment exposure. Children’s Oncology Group (COG) guidelines recommend periodic cardiac screening for survivors exposed to anthracycline or radiation. However, the extent of adherence to cardiac screening among Medicaid-enrolled survivors—a group typically characterized by socioeconomic disadvantages—remains unclear. Additionally, as Medicaid expansion under the Affordable Care Act has occurred in most, but not all states, cardiac screening adherence may vary based on survivors' state of residence. Methods: Data from the CCSS were linked to administrative Medicaid insurance claims from 2015 to 2019. We included at-risk survivors (i.e., received radiation to chest or heart, total body irradiation, and/or anthracyclines), aged 18-64 years, continuously covered by Medicaid during 2015-2019, and without a history of grade 3-4 cardiovascular conditions by 2019 to ensure the identified cardiac tests were for screening purposes. Our primary outcome assessed adherence to COG guidelines (V4.0) based on age- and therapy dose-specific frequency of cardiac testing (i.e., echocardiogram, multigated acquisition scan, or magnetic resonance imaging) during the study period. Multivariable logistic models assessed sociodemographic, clinical, and policy-related factors associated with adherence, with adjusted probability differences (i.e., marginal effects [MEs]) reported. Results: We identified 1,062 survivors at risk of cardiovascular conditions, with 57.0% female, 52.8% young adults (ages 18-39 years), and 72.8% non-Hispanic White. During 2015-2019, 285 (26.8%) survivors received any cardiac test, and 102 (9.6%) adhered to COG guideline-based frequency of cardiac testing. In multivariable models, survivors residing in states that expanded Medicaid in 2014 and later has 4.3 percentage points (ppts, 95% CI=0.58.1, p =0.025) and 6.1 ppts (95% CI=0.611.6, p =0.031) increased likelihood of adhering to guideline-based frequency of cardiac testing respectively compared to states that did not. Compared to leukemia survivors, the likelihood of adhering to guideline-based frequency of cardiac testing was higher in survivors of central nervous system tumors (ME=7.6 ppt, 95% CI=2.712.6, p =0.002), Hodgkin lymphoma (ME=10.7 ppt, 95% CI=1.320.1, p =0.026), and non-Hodgkin lymphoma (ME=9.4, 95% CI=1.017.8, p =0.028). Conclusions: Adherence to risk-based cardiac testing is low among Medicaid-enrolled survivors of childhood cancer, and associated with residence in a Medicaid expansion state and cancer type. Policy reforms toward improving affordable, continuous health insurance coverage are important means to increase adherence to guideline-based cardiac tests among survivors.

Suspected poor-quality medicines in Kenya: a retrospective descriptive study of medicine quality-related complaints reports in Kenya’s pharmacovigilance database

Poor-quality, substandard and falsified, medicines pose a significant public health threat, particularly in low-middle-income countries. A retrospective study was performed on Kenya's Pharmacovigilance Electronic Reporting System (2014–2021) to characterize medicine quality-related complaints and identify associations using disproportionality analysis. A total of 2767 individual case safety reports were identified, categorized into medicines with quality defects (52.1%), suspected therapeutic failure (41.6%), and suspected adverse drug reactions (6.3%). Predominantly reported were antineoplastic agents (28.6%), antivirals (11.7%), and antibacterial agents (10.8%) potentially linked to non-adherence to good manufacturing practices, inappropriate usage and supply chain degradation. Notably, analgesics (8.2%), and medical devices (3.5%) notified had quality defects, predominantly from government health facilities (60.0%). Antineoplastic agents (20.2%) and antivirals (3.7%) were frequently reported from suspected therapeutic failures and suspected adverse drug reactions, respectively, across both private for-profit facilities (26.5%) and not-for-profit facilities (5.4%). Underreporting occurred in unlicensed health facilities (8.1%), due to unawareness and reporting challenges. Pharmacists (46.1%), and pharmaceutical technicians (11.7%) predominantly reported quality defects, while medical doctors (28.0%) reported suspected therapeutic failures. Orally administered generic medicines (76.9%) were commonly reported, with tablets (5.8%) identified as potential sources of suspected adverse drug reactions, while quality defects were notified from oral solutions, suspensions, and syrups (7.0%) and medical devices (3.9%). The COVID-19 pandemic correlated with reduced reporting possibly due to prioritization of health surveillance. This study provides valuable evidence to supporting the use of medicine quality-related complaints for proactive, targeted regulatory control of high-risk medicines on the market. This approach can be strengthened by employing standardized terminology to prioritize monitoring of commonly reported suspected poor-quality medicines for risk-based sampling and testing within the supply chain.

Outcomes of a 1-Year Pilot Study Implementing Universal Hepatitis Delta Virus Testing Among Veterans With Chronic Hepatitis B.

Current US guidelines recommend risk-based testing for hepatitis delta virus (HDV) in persons with chronic hepatitis B (CHB). While there is debate as to whether a risk-based or universal testing approach is most effective, limited data exist on universal HDV testing programs in the United States. We performed a 1-year pilot study evaluating the outcomes of a universal HDV testing approach among US veterans with CHB. All consecutive adults with CHB receiving care at hepatology clinics at a single-centre Veterans Affairs Health System from 1 October 2022 to 30 September 2023 were prospectively tested for anti-HDV antibody (anti-HDV). Patients who were anti-HDV Ab-positive were subsequently tested for HDV RNA. Comparison of HDV testing between groups utilised chi-square testing. A total of 91 consecutive CHB patients (90.0% male, mean age 60.9 ± 14.1 years, 73.9% Asian, 26.1% non-Asia, 16.5% cirrhosis and 17.1% with active or past history of drug use) had anti-HDV ordered. Overall, 76.9% (n = 70) completed anti-HDV testing; 4.3% (n = 3) were positive. HDV RNA testing was ordered in all three patients; two patients completed HDV RNA testing and one had detectable HDV RNA. No significant differences in completion of anti-HDV testing was observed by age, sex, race/ethnicity, cirrhosis status or drug use history. Among a single-centre prospective cohort study piloting a universal HDV testing approach, one patient with viremic HDV was identified. Implementing true reflex testing of all CHB patients with anti-HDV, followed by automated HDV RNA testing for anti-HDV-positive patients would improve the HDV testing cascade and timely diagnosis of HDV.

Identification of infectious viruses for risk-based virus testing of CHO unprocessed bulk using next-generation sequencing.

It is important to increase manufacturing speed to make medicines more widely available. One bottleneck for CHO-based drug substance release is the in vitro viral (IVV) cell-based assay on unprocessed bulk. To increase process speed, we evaluate the suitability of replacing the IVV cell-based assay with next-generation sequencing (NGS). First, we outline how NGS is currently used in the pharmaceutical industry, and how it may apply to CHO virus testing. Second, we examine CHO virus contamination history. Since prior virus contaminants can replicate in the production bioreactor, we perform a literature search and classify 159 viruses as high, medium, low, or unknown risk based on their ability to infect CHO cells. Overall, the risk of virus contamination during the CHO manufacturing process is low. Only six viruses were reported to have contaminated CHO bioprocesses over the past several decades, and were primarily caused by fetal bovine serum or cell culture components. These virus contamination events can be mitigated through limitation and control of raw materials, combined with virus testing and virus clearance technologies. The list of CHO infectious viruses provides a starting framework for virus safety risk assessment and NGS development. Furthermore, ICH Q5A (R2) includes NGS as a molecular method for adventitious agent testing, paving a path forward for modernizing CHO virus testing.

Understanding current antenatal Hepatitis C testing and care in maternity services in England.

Universal opt-out antenatal screening for Hepatitis C virus (HCV) is not currently recommened and it is recommended that maternity services offer risk-based testing. We aimed to investigate antenatal HCV testing and adherence to testing guidance. A cross-sectional survey was circulated to maternity service providers between November-December 2020 which included testing policy, training for healthcare staff, and management of women found to be HCV positive. Descriptive data are presented. A total of 75 questionnaires were returned, representing 48 % of English maternity service providers. 87 % of providers reported offering antenatal HCV risk-based testing. Risk factors used to identify pregnant women for testing varied. Less than 15 % of respondents considered women that were ever homeless or with history of incarceraton or from higher HCV prevalence areas as high risk. Current antenatal HCV testing practices are inadequate and HCV infection likely goes undiagnosed in pregnancy, especially among vulnerable population groups. In the absence of universal antenatal screening, re-framing antenatal HCV risk-based testing and management as a quality improvement initiative and developing HCV specific pathway guidance for maternity units is required.

Lessons from CanSpotASF: Moving towards risk-based African Swine Fever surveillance with rule-out testing in Western Canada

African swine fewer (ASF) is a serious disease present in Africa, Eurasia, and the Caribbean but not in continental North America. CanSpotASF describes the ASF surveillance in Canada as a phased in approach. The first enhancement to the passive surveillance was the risk-based early detection testing (rule-out testing) where eligible cases were tested for ASF virus (ASFv). The objective was to describe how the eligibility criteria were applied to cases in western Canada. In particular, to assess if cases tested for ASFv had eligible conditions and if pathology cases with eligible conditions were tested for ASFv based on the data collated by Canada West Swine Health Intelligence Network (CWSHIN) from British Columbia, Alberta, Saskatchewan, and Manitoba. The study period was August 2020 to December 2022 and the data included two study laboratories. We found that over 90% of cases tested for ASFv had eligible conditions as defined in CanSpotASF. The eligibility criteria were applied at three stages of the disease investigation process: 1) the clinical presentation in the herd; 2) at the initial laboratory assessment; and 3) the final pathology diagnosis. At the two study laboratories the proportion of all submitted cases (culture, serology, PCR, pathology) tested for ASFv was very low 1%. However, in the pathology cases specifically targeted in CanSpotASF, and the proportion of tested cases was 12%. In addition, for eligible pathology cases (eligible diagnosis or test) the proportion tested was higher 15%. These results indicated that CanSpotASF targeted herds with submissions for pathological examination and to some degree eligible conditions which would be herds with health issues (known or unknown). We interpret this as a first step towards risk-based surveillance with health as the defining factor.

Future HIV epidemic trajectories in South Africa and projected long-term consequences of reductions in general population HIV testing: a mathematical modelling study

After successful intensive interventions to rapidly increase HIV awareness, coverage of antiretroviral therapy (ART), and viral suppression, HIV programmes in eastern and southern Africa are considering scaling back of some interventions, such as widespread general population HIV testing. We aimed to model whether scaling back of general population HIV testing in South Africa could result in a resurgence of the HIV epidemic or substantial slowing of declines in HIV incidence, resulting in increased long-term ART. In this modelling study, we used the Thembisa 4.5 model (a deterministic compartmental model of HIV transmission in South Africa) to project the South African HIV epidemic to 2100 assuming the continuation of 2022 epidemiological conditions and HIV programme implementation. We assessed how implementing reductions in general population HIV testing services in 2025 (while maintaining antenatal, symptom-based, and risk-based testing modalities and other HIV prevention services at 2022 levels) would affect HIV incidence and prevalence among people aged 15-49 years, the year in which incidence would reach one per 1000 people aged 15-49 years (the threshold for virtual elimination of HIV), and associated costs, as well as numbers of additional new HIV infections and AIDS-related deaths. We also modelled the effects of delaying reductions in general population testing services by 5-year increments. Additionally, we modelled the potential effects of reductions in general population testing services in combination with increases or decreases in ART interruption rates (ie, the annual rate at which people who are on ART discontinue ART) and condom usage in 2025-35. If general population HIV testing services and the HIV risk environment of 2022 were maintained, we projected that HIV incidence would steadily decline from 4·95 (95% CI 4·40-5·34) per 1000 population in 2025 to 0·14 (0·05-0·31) per 1000 in 2100, and that the so-called virtual elimination threshold of less than one new infection per 1000 population per year would be reached in 2055 (95% CI 2051-2060). Scaling back of general population HIV testing services by 25%, 50%, or 75% in 2025 delayed time to reaching the virtual elimination threshold by 5, 13, or 35 years, respectively, whereas complete cessation of general population testing would result in the threshold not being attained by 2100. Although the incidence of HIV continued to fall when general HIV testing services were reduced, our modelling suggested that, with reductions of between 25% and 100%, between 396 000 (95% CI 299 000-474 000) and 2·50 million (1·97 million-2·98 million) additional HIV infections and between 115 000 (94 000-135 000) and 795 000 (670 000-926 000) additional AIDS-related deaths would occur between 2025 and 2075, depending on the extent of reduction in testing. Delaying reductions in general population HIV testing services for 5-25 years mitigated some of these effects. HIV testing accounted for only 5% of total programmatic costs at baseline; reducing testing moderately reduced short-term total annual costs, but increased annual costs after 25 years. Increases in ART interruption and reductions in condom usage were projected to slow the decline in incidence and increase the coverage of general HIV testing services required to control transmission but did not cause rapid resurgence in HIV infections. Our modelling suggests that scaling back of general population HIV testing would not result in a resurgence of HIV infections, but would delay attainment of incidence-reduction targets and result in long-term increases in HIV infections, AIDS-related deaths, and costs (via increased need for ART provision). HIV programmes need to balance short-term potential resource savings with long-term epidemic control objectives. Bill & Melinda Gates Foundation.

Improving testing capacity for COVID-19: experiences and lessons from Senegal, Uganda, Nigeria, and the Democratic Republic of Congo.

African countries leveraged testing capacities to enhance public health action in response to the COVID-19 pandemic. This paper describes experiences and lessons learned during the improvement of testing capacity throughout the COVID-19 response in Senegal, Uganda, Nigeria, and the Democratic Republic of the Congo (DRC). The four countries' testing strategies were studied using a mixed-methods approach. Desk research on COVID-19 testing strategies was conducted and complemented by interviewing key informants. The findings were synthesized to demonstrate learning outcomes across the four countries. The four countries demonstrated severely limited testing capacities at the onset of the pandemic. These countries decentralized COVID-19 testing services by leveraging preexisting laboratory systems such as PCR and GeneXpert used for the diagnosis of tuberculosis (TB) to address this gap and the related inequities, engaging the private sector, establishing new laboratories, and using rapid diagnostic tests (RDTs) to expand testing capacity and reduce the turnaround time (TAT). The use of digital platforms improved the TAT. Testing supplies were sourced through partners, although access to global markets was challenging. Case detection remains suboptimal due to high costs, restrictive testing strategies, testing access challenges, and misinformation, which hinder the demand for testing. The TAT for PCR remained a challenge, while RDT use was underreported, although Senegal manufactured RDTs locally. Key findings indicate that regionally coordinated procurement and manufacturing mechanisms are required, that testing modalities must be simplified for improved access, and that the risk-based testing strategy limits comprehensive understanding of the disease burden. Although testing capacities improved significantly during the pandemic, case detection and access to testing remained suboptimal. The four countries could benefit from further simplification of testing modalities and cost reduction. Local manufacturing and pooled procurement mechanisms for diagnostics are needed for optimal pandemic preparedness and response.

Comparison of an Initial Risk-Based Testing Strategy vs Usual Testing in Stable Symptomatic Patients With Suspected Coronary Artery Disease

Trials showing equivalent or better outcomes with initial evaluation using coronary computed tomography angiography (cCTA) compared with stress testing in patients with stable chest pain have informed guidelines but raise questions about overtesting and excess catheterization. To test a modified initial cCTA strategy designed to improve clinical efficiency vs usual testing (UT). This was a pragmatic randomized clinical trial enrolling participants from December 3, 2018, to May 18, 2021, with a median of 11.8 months of follow-up. Patients from 65 North American and European sites with stable symptoms of suspected coronary artery disease (CAD) and no prior testing were randomly assigned 1:1 to precision strategy (PS) or UT. PS incorporated the Prospective Multicenter Imaging Study for the Evaluation of Chest Pain (PROMISE) minimal risk score to quantitatively select minimal-risk participants for deferred testing, assigning all others to cCTA with selective CT-derived fractional flow reserve (FFR-CT). UT included site-selected stress testing or catheterization. Site clinicians determined subsequent care. Outcomes were clinical efficiency (invasive catheterization without obstructive CAD) and safety (death or nonfatal myocardial infarction [MI]) combined into a composite primary end point. Secondary end points included safety components of the primary outcome and medication use. A total of 2103 participants (mean [SD] age, 58.4 [11.5] years; 1056 male [50.2%]) were included in the study, and 422 [20.1%] were classified as minimal risk. The primary end point occurred in 44 of 1057 participants (4.2%) in the PS group and in 118 of 1046 participants (11.3%) in the UT group (hazard ratio [HR], 0.35; 95% CI, 0.25-0.50). Clinical efficiency was higher with PS, with lower rates of catheterization without obstructive disease (27 [2.6%]) vs UT participants (107 [10.2%]; HR, 0.24; 95% CI, 0.16-0.36). The safety composite of death/MI was similar (HR, 1.52; 95% CI, 0.73-3.15). Death occurred in 5 individuals (0.5%) in the PS group vs 7 (0.7%) in the UT group (HR, 0.71; 95% CI, 0.23-2.23), and nonfatal MI occurred in 13 individuals (1.2%) in the PS group vs 5 (0.5%) in the UT group (HR, 2.65; 95% CI, 0.96-7.36). Use of lipid-lowering (450 of 900 [50.0%] vs 365 of 873 [41.8%]) and antiplatelet (321 of 900 [35.7%] vs 237 of 873 [27.1%]) medications at 1 year was higher in the PS group compared with the UT group (both P < .001). An initial diagnostic approach to stable chest pain starting with quantitative risk stratification and deferred testing for minimal-risk patients and cCTA with selective FFR-CT in all others increased clinical efficiency relative to UT at 1 year. Additional randomized clinical trials are needed to verify these findings, including safety. ClinicalTrials.gov Identifier: NCT03702244.

Increased syphilis testing and detection of late latent syphilis among women after switching from risk-based to opt-out testing strategy in an urban Australian sexual health clinic: a retrospective observational study

The Melbourne Sexual Health Centre (MSHC) implemented an opt-out syphilis test for women in December 2017. We aimed to examine the differences in syphilis testing uptake and confirmed syphilis cases among women after switching from risk-based to opt-out testing strategies. This was a retrospective study examining all women attending the MSHC for the first time in periods of risk-based testing (2015-2017) and opt-out testing (2018-2020). We calculated the proportion of women who tested for syphilis and the proportion of women with confirmed syphilis in each period. A chi-square test was performed to determine the differences in proportion between the risk-based testing and opt-out periods. A total of 27,481 women (i.e. 13,059 in the risk-based testing period and 14,422 in the opt-out period) were included in the final analysis, and the mean age was 26.8 years (standard deviation=6.9). The proportion of women who were tested for syphilis at their first consultation increased from 52.8% (6890/13,059) in the risk-based testing period to 67.4% (9725/14,422) in the opt-out period (p<0.0001). Syphilis positivity did not differ between the two periods (0.48% [33/6890] vs 0.71% [69/9725], p=0.061) but late latent causes increased from 36.4% [12/33] to 60.9% [42/69] (p=0.033). The opt-out testing strategy increased syphilis testing among women with increased detection of asymptomatic late latent syphilis. The opt-out syphilis testing strategy is beneficial in sexual health services. Health education and awareness may be required to improve syphilis testing uptake. National Health and Medical Research Council.

Risk-based reliability assessment and testing stop time based software system modeling

PurposeThe ideology of this article is to study the performance concerns of SDN Controllers, with the help of developed SRGM and thereby obtain its optimal testing duration. The effect of undetected uncertainty in the parameter values have also been catered in the proposal.Design/methodology/approachThese uncertainties in the parameter values are studied as the risk of not meeting desired set of requirements, whose removal causes additional cost. Considering these two constructs as attributes of MAUT, the controller's optimal testing duration is obtained.FindingsThe article focuses towards obtaining the optimal duration for which the SDN Controllers must be tested. It was observed that the inculcation of risk-attribute has provided the higher utility value as compared to any other existing scenarios.Originality/valuePlenty of SRGM have been proposed in the literature which talks about the testing stop time determination problems. But, none of them have considered the impact of risk of not meeting the requirements (reliability) along with cost to obtain its testing stop time. Further, validation of the proposed model in presented with the help of two releases versions of SDN controller platform, ONOS, entitled as “Kingfisher” and “Loon” and has acquired promising results.

Advancing research, awareness, screening, and linkage to care to eliminate HDV in the U.S.

HDV, which coinfects individuals living with HBV, is the most aggressive form of viral hepatitis. Compared with hepatitis B monoinfection, hepatitis delta is associated with more rapid progression to cirrhosis and an increased risk of liver cancer and death. Despite being a major contributor to hepatitis B-associated liver disease, hepatitis delta remains largely unknown to the general public, health care providers, and at-risk communities. Given the widespread lack of awareness and underdiagnosis of hepatitis delta in the US, the American Liver Foundation (ALF) and the Hepatitis B Foundation (HBF) convened a virtual Hepatitis Delta Roundtable Meeting on April 21 and 22, 2022. The Roundtable Panel included persons living with hepatitis delta, caregivers, liver disease specialists, primary care providers, state and federal public health professionals, and community-based organizations. The Panel identified several major challenges surrounding hepatitis delta, including a lack of awareness of hepatitis delta among the public and health care providers; complex risk-based testing protocols; a lack of accurate prevalence data; limited data on linkage to care; and inadequate communications among stakeholders. Potential strategies to address these challenges include improving and expanding education for different audiences; advocating for simplified protocols for hepatitis B screening with hepatitis delta reflex testing; expanding surveillance for hepatitis delta; requiring automated reporting and national notification; improving data sharing for research; and enhancing communications around hepatitis delta. The recent CDC recommendations for universal adult screening and vaccination against hepatitis B and the anticipated availability of new therapies for hepatitis delta present a unique opportunity to focus attention on this dangerous virus. The Roundtable Panel calls for urgent action to make significant progress in addressing hepatitis delta among individuals living with hepatitis B.

Associations Between Clinic-Based HIV Testing Guidelines and Population-Level HIV Testing Rates in the United States.

Between 2005 and 2006, the United States Preventive Services Task Force and the Centers for Disease Control and Prevention revised their risk-based HIV testing guidelines to include universal HIV testing in routine health care. We examined trends in HIV testing and associations with changing policy recommendations using the 2000-2017 National Health Interview Surveys. Multivariable logistic regression and difference-in-difference approach were used to assess rates and correlates of HIV testing before and after the policy changes. Changes in recommendations had minimal effects on overall HIV testing rates but had significant effects on selected subpopulations. The odds of HIV testing increased disproportionately among African Americans, Hispanics, individuals with some college education, low perceived HIV risks, and those who were never married but decreased among those with no regular source of care. A strategy combining risk-based and routine opt-out testing holds promise to rapidly link recently infected individuals to care while reaching individuals who have never been tested.

Protecting the Financial Ecosystem: An Extensive Testing Approach for Systems Combating Financial Crime

The global financial system faces significant challenges in combating financial crimes such as money laundering, terrorist financing, and fraud. The increasing sophistication of criminals and the rapid evolution of technology necessitate robust systems and processes to detect, prevent, and report suspicious activities. Effective testing strategies play a crucial role in ensuring the reliability, accuracy, and compliance of these systems. This paper presents an extensive testing approach for systems combating financial crime, focusing on key areas such as transaction monitoring, sanctions screening, and customer due diligence. The proposed approach encompasses risk-based testing, data-driven testing, and advanced techniques like machine learning and network analysis. The paper also emphasizes the importance of collaborative testing efforts involving multiple stakeholders, including financial institutions, regulators, and technology providers. By adopting a comprehensive and proactive testing approach, financial institutions can strengthen their defenses against financial crime and contribute to the overall integrity and stability of the financial ecosystem.

Protecting the Financial Ecosystem: An Extensive Testing Approach for Systems Combating Financial Crime

The global financial system faces significant challenges in combating financial crimes such as money laundering, terrorist financing, and fraud. The increasing sophistication of criminals and the rapid evolution of technology necessitate robust systems and processes to detect, prevent, and report suspicious activities. Effective testing strategies play a crucial role in ensuring the reliability, accuracy, and compliance of these systems. This paper presents an extensive testing approach for systems combating financial crime, focusing on key areas such as transaction monitoring, sanctions screening, and customer due diligence. The proposed approach encompasses risk-based testing, data-driven testing, and advanced techniques like machine learning and network analysis. The paper also emphasizes the importance of collaborative testing efforts involving multiple stakeholders, including financial institutions, regulators, and technology providers. By adopting a comprehensive and proactive testing approach, financial institutions can strengthen their defenses against financial crime and contribute to the overall integrity and stability of the financial ecosystem.

Evaluation of Structured, Semi-Structured, and Free-Text Electronic Health Record Data to Classify Hepatitis C Virus (HCV) Infection

Evaluation of the United States Centers for Disease Control and Prevention (CDC)-defined HCV-related risk factors are not consistently performed as part of routine care, rendering risk-based testing susceptible to clinician bias and missed diagnoses. This work uses natural language processing (NLP) and machine learning to identify patients who are at high risk for HCV infection. Models were developed and validated to predict patients with newly identified HCV infection (detectable RNA or reported HCV diagnosis). We evaluated models with three types of variables: structured (structured-based model), semi-structured and free-text notes (text-based model), and all variables (full-set model). We applied each model to three stratifications of data: patients with no history of HCV prior to 2020, patients with a history of HCV prior to 2020, and all patients. We used XGBoost and ten-fold C-statistic cross-validation to evaluate the generalizability of the models. There were 3564 unique patients, 487 with HCV infection. The average C-statistics on the structured-based, text-based, and full-set models for all the patients were 0.777 (95% CI: 0.744–0.810), 0.677 (95% CI: 0.631–0.723), and 0.774 (95% CI: 0.735–0.813), respectively. The full-set model performed slightly better than the structured-based model and similar to text-based models for patients with no history of HCV prior to 2020; average C-statistics of 0.780, 0.774, and 0.759, respectively. NLP was able to identify six more risk factors inconsistently coded in structured elements: incarceration, needlestick, substance use or abuse, sexually transmitted infections, piercings, and tattoos. The availability of model options (structured-based or text-based models) with a similar performance can provide deployment flexibility in situations where data is limited.

Screening and Testing for Hepatitis B Virus Infection: CDC Recommendations - United States, 2023.

Chronic hepatitis B virus (HBV) infection can lead to substantial morbidity and mortality. Although treatment is not considered curative, antiviral treatment, monitoring, and liver cancer surveillance can reduce morbidity and mortality. Effective vaccines to prevent hepatitis B are available. This report updates and expands CDC's previously published Recommendations for Identification and Public Health Management of Persons with Chronic Hepatitis B Virus Infection (MMWR Recomm Rep 2008;57[No. RR-8]) regarding screening for HBV infection in the United States. New recommendations include hepatitis B screening using three laboratory tests at least once during a lifetime for adults aged ≥18 years. The report also expands risk-based testing recommendations to include the following populations, activities, exposures, or conditions associated with increased risk for HBV infection: persons incarcerated or formerly incarcerated in a jail, prison, or other detention setting; persons with a history of sexually transmitted infections or multiple sex partners; and persons with a history of hepatitis C virus infection. In addition, to provide increased access to testing, anyone who requests HBV testing should receive it, regardless of disclosure of risk, because many persons might be reluctant to disclose stigmatizing risks.

Survey of Adolescents' and Emerging Adults' Preferences for Gonorrhea and Chlamydia Testing in Primary Care.

Our study assessed adolescents' and emerging adults' (ages 14-24 years) preferences for opt-out gonorrhea and chlamydia screening compared with risk-based screening. Most participants (93%) preferred opt-out gonorrhea and chlamydia testing compared with risk-based testing (6%), and opt-out testing was associated with less sexually transmitted infection-related stigma ( P < 0.05).

Progress toward alleviating preventable waterborne diseases over the past 30 years

Abstract Over the past several decades, there have been a number of national and international meetings on waterborne diseases. Conclusions from these meetings often seem remarkably similar and suggest little progress in the field of water and health. This is both a true and a false premise, as our ability to use molecular tools to describe microbial communities has advanced to the level at which whole genome sequencing is now a routine practice and can even be deployed in the field. This article seeks to illustrate both these advances and their limitations, especially for use in low-resourced settings. What remains clear is that for most of the world, basic hygiene and sanitation measures can do more for human health than any of our current advances in molecular biology. That is not to say that these advances are not remarkable and that they can undoubtedly revolutionize risk-based testing and surveillance. Although there are many factors that contribute to increased risks from waterborne diseases, climate change above all else is creating challenges that we are ill-prepared to meet. The biggest barrier to control of these diseases is not limitations in technology but has been and continues to be the lack of political will and economic incentives.