Publications by authors named "Jared Kerman"

Understanding the acceptability of long-acting injectable antiretroviral therapy (LAI-ART) among people with HIV (PWH), especially priority populations, is essential for effective implementation. We conducted semi-structured interviews with patients in three Ryan White-funded HIV clinics in San Francisco, Chicago, and Atlanta. We employed maximal variation sampling across age, gender, race, ethnicity, and time living with HIV and oversampled for individuals with suboptimal clinical engagement.

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Background: Squamous cell carcinoma of the anus (SCCA) annual incidence among sexual minority men with and without HIV is 85/100,000 and 19/100,000 persons, respectively, which is significantly higher than the overall incidence (2/100,000). Incidence may also be higher in transgender women. Since SCCA tumours average ≥30 mm at diagnosis, we assessed the accuracy of individuals to self-detect smaller anal abnormalities.

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Background: Stigma contributes to health disparities including increased HIV vulnerability among minority communities. Black transgender women experience multiple forms of stigma (e.g.

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Background: Squamous cell carcinoma of the anus (SCCA) annual incidence among sexual minority men (SMM) with and without HIV is 85/100,000 and 19/100,000 persons, respectively, which is significantly higher than the overall incidence (2/100,000). Since SCCA tumours average ≥30 mm at diagnosis, we assessed the accuracy of individuals to self-detect anal abnormalities.

Methods: The study enrolled 714 SMM and transgender women (SMM/TW), aged 25 to 81 years, in Chicago, Illinois and Houston, Texas during 2020-2022.

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Monitoring pre-exposure prophylaxis (PrEP) metrics can guide service delivery yet does not occur routinely. We developed a survey to understand current practices for monitoring PrEP at PrEP-providing organizations in Illinois and Missouri. The survey was distributed from September through November 2020; 26 organizations participated.

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The rapid implementation of molecular HIV surveillance (MHS) has resulted in significant challenges for local health departments to develop real-time cluster detection and response (CDR) interventions for priority populations impacted by HIV. This study is among the first to explore professionals' strategies to implement MHS and develop CDR interventions in real-world public health settings. Methods: Semi-structured qualitative interviews were completed by 21 public health stakeholders in the United States' southern and midwestern regions throughout 2020-2022 to identify themes related to the implementation and development of MHS and CDR.

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Background: Fragmented state laws have impacted cannabis uptake and perceptions in the USA. Little research has explored the attitudes, beliefs, and social network influences of young Black men who have sex with men (BMSM) who have experienced incarceration and use cannabis. While problematic cannabis use is not well defined and understudied, scholars have found that a person's social network can mediate problematic substance use and reduce recidivism rates by providing both tangible and emotional support.

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Background: Adherent pre-exposure prophylaxis (PrEP) uptake can prevent HIV infections. Despite the high HIV incidence, Chinese key populations have low PrEP uptake and adherence. New interventions are needed to increase PrEP adherence among key populations in China.

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Background: Routine opt-out HIV testing in healthcare settings is often not implemented to its fullest extent. We assessed factors contributing to missed HIV testing opportunities at an academic medical center in Chicago, Illinois, with a routine HIV screening program.

Methods: Retrospective analysis of HIV testing in clinical encounters was performed using multivariate regession models.

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Use of long-acting injectable antiretroviral therapy depends on patient awareness, provider discussion, and patient willingness to use. We conducted a postvisit survey with patients at 3 HIV clinics in San Francisco, Chicago, and Atlanta in May 2021 to assess for inequities in these early implementation phases.

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COVID-19 has disrupted routine medical care and increased psychosocial and economic stressors on a global scale, yet the full impact on people living with HIV (PLWH) and the HIV continuum of care remains unknown. As the pandemic continues to pose a significant threat to PLWH and their care, this research qualitatively aimed to elicit COVID-19-related challenges and perspectives of PLWH during the early phase of the pandemic and to identify lessons learned and impactful strategies for facilitating HIV care. We recruited 32 PLWH who receive care at a large academic medical center for semi-structured remote interviews to assess psychological/structural stressors experienced during the pandemic and to discern strategies for improving care.

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Background: The COVID-19 and HIV epidemics have exacerbated existing inequities among vulnerable groups and severely impacted communities of color. People living with HIV (PLWH), who may already face stigma or discrimination, are at risk of experiencing further stigma as a result of COVID-19, which can result in medical mistrust.

Methods: We performed qualitative interviews between June and August 2020 among 32 PLWH, including 10 individuals diagnosed with COVID-19.

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Shared decision making is a collaborative process intended to develop a treatment plan that considers both the patient's preferences and the health provider's medical recommendations. It is one approach to reducing healthcare disparities by improving patient-provider communication and subsequent health outcomes. This study examines shared decision making about HIV pre-exposure prophylaxis (PrEP) with Black transgender women in Chicago, Illinois, USA, given high prevalence of HIV and disparities in PrEP use.

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Purpose Of Review: This manuscript reviews the use of electronic medical record (EMR) data for HIV care and research along the HIV care continuum with a specific focus on machine learning methods and clinical informatics interventions.

Recent Findings: EMR-based clinical decision support tools and electronic alerts have been effectively utilized to improve HIV care continuum outcomes. Accurate EMR-based machine learning models have been developed to predict HIV diagnosis, retention in care, and viral suppression.

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