Co-delivery of HIV pre-exposure prophylaxis (PrEP) and HIV testing among publicly insured adolescents and young adults (AYA) receiving medication for opioid use disorder (MOUD).

BACKGROUND: Low rates of HIV pre-exposure prophylaxis (PrEP) prescribing contribute to the disproportionate burden of HIV in the United States. Among adolescent and young adults (AYA) with opioid use disorder, HIV testing and PrEP co-prescription rates are poorly characterized. METHODS: We performed a retrospective analysis involving deidentified data from Philadelphia's Medicaid beneficiaries ages 16-29 years who were prescribed medication for opioid use disorder (MOUD) from 2015 to 2020 and continuously Medicaid-enrolled for ≥6 months prior to that prescription. After identifying the presence of a qualifying diagnosis signifying a PrEP indication, we examined the outcome of appropriate PrEP co-prescriptions and HIV testing using generalized estimating equations (GEE) modeling. RESULTS: We identified 795 AYA Medicaid beneficiaries with 1269 qualified treatment episodes. We calculated a PrEP prescribing rate of 29.47 per 1000 person-years among AYA receiving MOUD. The HIV testing rate was 63.47 per 1000 person-years among AYA receiving MOUD. GEE modeling revealed that individuals receiving methadone were more likely (aOR=2.62, 95% CI=1.06-6.49) to receive HIV testing within 6 months after a PrEP-qualifying diagnosis compared to those receiving other MOUD medications. Those who only saw outpatient behavioral health providers were less likely (aOR=0.48, 95% CI=0.24-0.99) to have received an HIV test within 6 months after the PrEP-qualifying diagnosis compared to those receiving inpatient behavioral health services. CONCLUSIONS: Co-prescription of PrEP and HIV testing among AYA receiving MOUD was rare in this large urban publicly insured population. Interventions are needed to increase HIV prevention services for this key population of AYA at risk for HIV infection.

The role of baseline insomnia in moderating the hypnotic properties of quetiapine.

INTRODUCTION: The primary aim of this study was to investigate the effect of quetiapine on insomnia and alcohol craving (craving) in subjects with co-occurring insomnia and AUD. METHODS: Insomnia was assessed with the Insomnia Severity Index (ISI) and craving with the Penn Alcohol Craving Scale (PACS, primary) and Obsessive-Compulsive Drinking Scale (OCDS, secondary). A multivariable model adjusted for covariates (N = 123) evaluated the relationship between craving (PACS and OCDS total scores) and insomnia (ISI total score). To simultaneously assess the effects of treatment arm allocation and insomnia status, subjects (N = 115) were stratified into 4 groups, quetiapine-insomnia(N = 38), quetiapine-No insomnia(N = 19), placebo-insomnia(N = 38), and placebo-No insomnia(N = 20). Linear mixed-effects regression models adjusted for covariates compared the trajectories of ISI, PACS, and OCDS total scores across 12 weeks of treatment and at post-treatment follow-up at week 24, between the four groups. RESULTS: The ISI total score was positively associated with the PACS (p = 0.006) and OCDS (p = 0.001) total scores in the multivariable models. In the longitudinal analysis, when compared to the three other groups, subjects with insomnia treated with quetiapine showed a marked reduction in their insomnia scores with a return of insomnia after stopping treatment. There was no significant difference between the groups for the PACS and OCDS total score trajectories. DISCUSSION: Although craving is associated with insomnia, treatment with quetiapine may improve insomnia but not craving in patients with co-occurring AUD and insomnia.

Creating and sustaining effective pipeline initiatives to increase diversity in biostatistics: the ENAR Fostering Diversity in Biostatistics Workshop.

Biostatisticians with advanced degrees are highly sought after. Employment opportunities in the fields of mathematics and statistics are expected to increase dramatically by 2028. Underrepresentation of minorities in biostatistics has been a persistent problem, yielding a demographic landscape that differs substantially from the general US population. In some instances, students may have the appropriate quantitative skills, but are unaware of biostatistics and in other instances, students may not yet have the appropriate quantitative background, but are intellectually capable and willing to shore up those skills once they learn about biostatistics as a viable, exciting career option. Therefore, in order to ensure robust scientific advancement, there must be a concerted effort to increase the pipeline of intellectually talented persons available with exposure to the appropriate quantitative skills who are interested in careers in biostatistics. The overarching goal of this paper is to discuss the development, implementation, and impact of a federally funded pipeline initiative aimed at increasing the number of underrepresented minorities successful in graduate training and professional careers in biostatistics as well as establishing effective mentoring and networking relationships. Our findings provide a roadmap for the development of sustainable initiatives to promote diversity in biostatistics and STEM fields more broadly.

Inter-rater reliability of a classification system for hospital adverse drug event reports.

Hospital pharmacovigilance systems frequently classify adverse drug event (ADE) reports on various axes such as severity and type of outcome in an attempt to better detect changes in the frequency of certain types of ADEs. The aim of this study was to measure the inter-observer reliability of an ADE classification system. Two pharmacists and two internal medicine physicians reviewed 150 pharmacist-generated ADE reports and used a structured form to classify reports on four domains: the presence or absence of process measures leading to ADE; the individual who initiated the process that potentially leads to ADE; the severity of ADE; and whether the ADE was related to dose. There was wide variation in inter-observer reliability of different elements in a classification system for ADEs. Agreement on specific processes associated with ADEs ranged from poor to moderate, which limits the ability to target accurately processes to improve drug utilization.

Risk of internal cancers from arsenic in drinking water.

The U.S. Environmental Protection Agency is under a congressional mandate to revise its current standard for arsenic in drinking water. We present a risk assessment for cancers of the bladder, liver, and lung from exposure to arsenic in water, based on data from 42 villages in an arseniasis-endemic region of Taiwan. We calculate excess lifetime risk estimates for several variations of the generalized linear model and for the multistage-Weibull model. Risk estimates are sensitive to the model choice, to whether or not a comparison population is used to define the unexposed disease mortality rates, and to whether the comparison population is all of Taiwan or just the southwestern region. Some factors that may affect risk could not be evaluated quantitatively: the ecologic nature of the data, the nutritional status of the study population, and the dietary intake of arsenic. Despite all of these sources of uncertainty, however, our analysis suggests that the current standard of 50 microg/L is associated with a substantial increased risk of cancer and is not sufficiently protective of public health.