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Background. Our objective was to understand what gay, bisexual, and queer men (GBQM) who had experience using pre-exposure prophylaxis (PrEP) thought about the 'Undetectable equals Untransmittable' (U=U) message and how it informed their sexual decision-making over time. Methods. We conducted annual longitudinal qualitative interviews (2020-22) with 17 current or former PrEP users as part of a mixed-methods implementation science study examining barriers and facilitators to PrEP awareness, access, and adherence. Over 3 years, 47 interviews were conducted with GBQM in Ontario, Canada. Interviews were transcribed verbatim and coded in NVivo following reflexive thematic analysis. Results. Participants' sexual health decision-making was informed by their confidence in biomedical HIV prevention and the person taking medication (i.e. themselves using PrEP versus a real/imagined person living with HIV (PLHIV)). Longitudinal narratives of U=U clustered around four overarching themes: (1) U=U confidence (i.e. increasing trust in U=U irrespective of their PrEP use); (2) PrEP confidence (i.e. accounts of self-reliance and PrEP as sufficient HIV protection); (3) combination confidence (i.e. trusting U=U and PrEP as a package); and (4) partner confidence (i.e. potential 'distrust' of U=U due to uncertainties about partners' medication adherence). Overall, men described increased sex with PLHIV over time, including some participants who, during earlier interviews, said they would 'never be comfortable' with serodifferent sexual partners. Conclusions. GBQM's use of PrEP shaped how they thought about U=U and sex with PLHIV. Although many GBQM embraced treatment as prevention/U=U as significant to their sexual lives, longitudinal analysis revealed its varied and uneven adoption across participants and time. [ABSTRACT FROM AUTHOR]

Experts have warned that COVID-19 control measures may amplify health inequities among gay, bisexual, queer, and other men who have sex with men (GBM). For HIV-negative GBM, concerns have been raised as to how COVID-19 will disrupt access to HIV pre-exposure prophylaxis (PrEP). Our study offers empirical findings on these issues, drawing on in-depth interviews conducted with 25 HIV-negative GBM living in Ontario, Canada during the first wave of the COVID-19 pandemic. Our thematic analysis draws from the sociology of risk to elucidate how a public health morality – a contested ethical framework determining how to be a 'responsible' sexual citizen during the COVID-19 pandemic – informs GBM's sexual and PrEP decision-making. This public health morality was shaped by several factors, including: self-concern versus risks posed to others; anxiety, economic precarity, and becoming COVID-19 weary; shaming public health non-compliance; and comparisons with HIV and shaming (queer) sex. The participants significantly altered their sexual practices, with some stopping, restarting, and others stockpiling their PrEP. While some men's sexual practices ran counter to public health messaging to avoid 'non-essential' contact with those outside of their households, their risk reduction strategies, including avoiding new sexual partnerships and evaluating people's 'common-sense', mirrored the negotiated safety strategies earlier developed to mitigate HIV risk. Public health advice must account for the nuanced ways in which GBM are mitigating COVID-19 risks and are responding to a complex public health morality, in order to avoid stigmatization and potentially increasing COVID-19 transmission by neglecting practical risk reduction measures. [ABSTRACT FROM AUTHOR]

Cervical cancer is the fourth most common cancer in women worldwide with immense associated morbidity and mortality. Although most of the cervical cancer cases are caused by the human papillomavirus (HPV) and can effectively be prevented by HPV vaccination, vaccination unfortunately remains underused on a global scale with vast inequities in distribution. A vaccine as a tool to prevent cancer, cervical and others, is largely unprecedented. Then why do HPV vaccination rates globally remain so low? This article explores the burden of disease, development of the vaccine and its subsequent uptake, cost-effectiveness, and associated equity issues., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Consistent and high quality medical decisions are difficult as the amount of literature, data, and treatment options grow. We developed a model to provide automated physician order decision support suggestions for inpatient care through a feed-forward neural network. Given a patient's current status based on information data-mined and extracted from the Electronic Health Record (EHR), our model predicts clinical orders a physician enters for a patient within 24 hours. As a reference benchmark of real-world standard-of-care clinical decision support, existing manually-curated order sets implemented in the hospital demonstrate precision: 0.21, recall: 0.48, AUROC: 0.75 relative to what clinicians actually order within 24 hours. Our feed-forward model provides an automated, scalable, and robust system that achieves precision: 0.41, recall: 0.61, AUROC: 0.80.