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Wyllie TJS, Brown JL, Meisman A, Bayyari N, Mangeot C, Sun Q, Mullins TLK. Attitudes and Intentions toward Use of HIV Pre-Exposure Prophylaxis (PrEP) among Adults Receiving Treatment for Opioid Use. Subst Use Misuse 2024; 59:369-379. [PMID: 37917069 DOI: 10.1080/10826084.2023.2275556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Background: Although pre-exposure prophylaxis (PrEP) prevents HIV, little is known about PrEP awareness and factors associated with intention to take PrEP among people with opioid use disorder (OUD). Methods: HIV-negative adults recruited from an outpatient treatment program in Cincinnati, Ohio completed self-administered surveys. Items derived from literature and health behavioral theory included demographics, sexual and drug use behaviors, HIV prevention practices, PrEP knowledge, and attitudes toward PrEP. Primary outcomes were 1) intention to ask a clinician about PrEP and 2) intention to accept PrEP if recommended by a clinician. Outcomes were dichotomized into higher vs. lower intention for analyses in logistic regression models. Results: Among 198 participants, 60.3% reported past injection drug use. Among 58 participants (29.3%) meeting criteria for PrEP, 24% were aware of PrEP, 15.5% had discussed it with a clinician, and 5% had taken it. Factors associated with intention to ask a clinician about PrEP included being somewhat confident about consistent condom use (p < 0.01), motivation to comply with normative beliefs (p < 0.01), and reporting that PrEP fits very well (p < 0.01) and is easy to fit (p < 0.01) into current prevention practices. Factors associated with intention to accept PrEP if recommended by a clinician included motivation to comply with normative beliefs (p < 0.01) and PrEP being easy to fit into current prevention practices (p < 0.01). Conclusion: Among participants meeting indications for PrEP, only 24% were aware of it and few had taken it. Interventions that normalize PrEP and target incorporating PrEP into current prevention practices may improve uptake among individuals with OUD.
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Affiliation(s)
- Tornia J S Wyllie
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Cleveland Clinic Children's Hospital, Cleveland, Ohio, USA
| | - Jennifer L Brown
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Psychology, University of Cincinnati, Cincinnati, Ohio, USA
- Department of Psychological Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Andrea Meisman
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Nadia Bayyari
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, USA
- College of Allied Health Sciences - School of Social Work, University of Cincinnati, Cincinnati, Ohio, USA
| | - Colleen Mangeot
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Qin Sun
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Tanya L Kowalczyk Mullins
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
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Fisher M, James-Zorn C, Ponferrada V, Bell AJ, Sundararaj N, Segerdell E, Chaturvedi P, Bayyari N, Chu S, Pells T, Lotay V, Agalakov S, Wang DZ, Arshinoff BI, Foley S, Karimi K, Vize PD, Zorn AM. Xenbase: Key Features and Resources of the Xenopus Model Organism Knowledgebase. Genetics 2023; 224:7031801. [PMID: 36755307 PMCID: PMC10158840 DOI: 10.1093/genetics/iyad018] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 02/10/2023] Open
Abstract
Xenbase (https://www.xenbase.org/), the Xenopus model organism knowledgebase, is a web accessible resource that integrates the diverse genomic and biological data from research on the laboratory frogs Xenopus laevis and Xenopus tropicalis. The goal of Xenbase is to accelerate discovery and empower Xenopus research, enhance the impact of Xenopus research data and to facilitate the dissemination of these data. Xenbase also enhances the value of Xenopus data through high quality curation, data integration, providing bioinformatics tools optimized for Xenopus experiments, and by linking Xenopus data to humans and other model organisms. Xenbase also plays an indispensable role in making Xenopus data interoperable and accessible to the broader biomedical community in accordance with FAIR principles. Xenbase provides annotated data updates to organizations such as NCBI, UniProtKB, Ensembl, the Gene Ontology consortium and mostly recently, the Alliance of Genomic Resources, a common clearing house for data from humans and model organisms. This article provides a brief overview of key and recently added features of Xenbase. New features include processing of Xenopus high throughput sequencing data from the NCBI Gene Expression Omnibus, curation of anatomical, physiological and expression phenotypes with the newly created Xenopus Phenotype Ontology, Xenopus Gene Ontology annotations, new anatomical drawings of the Normal Table of Xenopus development, and integration of the latest Xenopus laevis v10.1 genome annotations. Finally, we highlight areas for future development at Xenbase as we continue to support the Xenopus research community.
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Affiliation(s)
- Malcolm Fisher
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Christina James-Zorn
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Virgilio Ponferrada
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Andrew J Bell
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Nivitha Sundararaj
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Erik Segerdell
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Praneet Chaturvedi
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Nadia Bayyari
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Stanley Chu
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Troy Pells
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Vaneet Lotay
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Sergei Agalakov
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Dong Zhuo Wang
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Bradley I Arshinoff
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Saoirse Foley
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Kamran Karimi
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Peter D Vize
- Xenbase, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Aaron M Zorn
- Xenbase, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
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Cochran G, Brown J, Yu Z, Frede S, Bryan MA, Ferguson A, Bayyari N, Taylor B, Snyder ME, Charron E, Adeoye-Olatunde OA, Ghitza UE, Winhusen T. Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test. Drug Alcohol Depend 2021; 228:109067. [PMID: 34610516 PMCID: PMC8612015 DOI: 10.1016/j.drugalcdep.2021.109067] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/14/2021] [Accepted: 08/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric. METHODS This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification. RESULTS The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05). CONCLUSIONS The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.
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Affiliation(s)
- Gerald Cochran
- University of Utah, Department of Internal Medicine, 295 Chipeta Way Salt Lake City, UT 84132, USA.
| | - Jennifer Brown
- University of Cincinnati, Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street Cincinnati, OH 45267-0559, USA; Center for Addiction Research, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA.
| | - Ziji Yu
- University of Utah, Department of Internal Medicine, 295 Chipeta Way Salt Lake City, UT 84132, USA.
| | - Stacey Frede
- Kroger Pharmacy, 1014 Vine Street, Cincinnati, OH 45202, USA.
| | - M Aryana Bryan
- University of Utah, Department of Internal Medicine, 295 Chipeta Way Salt Lake City, UT 84132, USA.
| | - Andrew Ferguson
- University of Cincinnati, Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street Cincinnati, OH 45267-0559, USA.
| | - Nadia Bayyari
- University of Cincinnati, Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street Cincinnati, OH 45267-0559, USA.
| | - Brooke Taylor
- Kroger Pharmacy, 1014 Vine Street, Cincinnati, OH 45202, USA.
| | - Margie E Snyder
- Purdue University, College of Pharmacy, 575 Stadium Mall Drive West Lafayette, IN 47907, USA.
| | - Elizabeth Charron
- University of Utah, Department of Internal Medicine, 295 Chipeta Way Salt Lake City, UT 84132, USA.
| | | | - Udi E Ghitza
- National Institute on Drug Abuse, Center for Clinical Trials Network, 3 White Flint North MSC 6022, 301 North Stonestreet Avenue, North Bethesda, MD 20852, USA.
| | - T Winhusen
- University of Cincinnati, Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street Cincinnati, OH 45267-0559, USA; Center for Addiction Research, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA.
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