ArticleAIDS and behavior2018
Prevalence of and Factors Associated with the Use of HIV Serosorting and Other Biomedical Prevention Strategies Among Men Who Have Sex with Men in a US Nationwide Survey.
Article in AIDS and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 42 citations in OpenAlex.
- HOME protocol for a national online survey of people who inject drugs.Harm reduction journal · 2025Article
- Navigating the Viral Divide: Sexual and Gender Minority Community Perspectives on Treatment as Prevention.AIDS education and prevention : official publication of the International Society for AIDS Education · 2023Article
- A psychosocial network approach studying biomedical HIV prevention uptake between 2017 and 2019.Scientific reports · 2023Article
- Binge Drinking Moderates Unprotected Sex Among HIV Sero-Similar Same Sex Male Couples: An Actor-Partner Interdependence Model.AIDS and behavior · 2023Article
- Talking to My Partners About PrEP: Factors Associated with PrEP-Related Communication in a Longitudinal US Study of Sexual Minority Men Living with HIV.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- PrEP in the Context of Other HIV Risk Reduction Strategies Among Men Who Have Sex with Men: Results from the Flash! PrEP in Europe Survey.Archives of sexual behavior · 2022Article
- Article
- A Behavioral Cascade of HIV Seroadaptation Among US Men Who Have Sex with Men in the Era of PrEP and U = U.AIDS and behavior · 2021Article
- Structural Issues Associated with Pre-exposure Prophylaxis Use in Men Who Have Sex with Men.International journal of behavioral medicine · 2021Article
- Combination HIV Prevention Strategies Among Montreal Gay, Bisexual, and Other Men Who Have Sex with Men in the PrEP Era: A Latent Class Analysis.AIDS and behavior · 2021Article
- Lifetime prevalence and correlates of female condom use for anal sex in a geographically diverse sample of Men who have sex with men (MSM) in the United States.International journal of sexual health : official journal of the World Association for Sexual Health · 2020Article
- Epidemiologic Treatment for Contacts to Neisseria gonorrhoeae and Chlamydia trachomatis Infection in Sexually Transmitted Disease Clinic Patients in Seattle, WA; 1994 to 2018.Sexually transmitted diseases · 2020Article
- Stages of Adoption of "Treatment as Prevention" Among HIV-Negative Men Who Have Sex with Men Who Engage in Exchange Sex.AIDS patient care and STDs · 2020Article
- Population-Level Sexual Mixing According to HIV Status and Preexposure Prophylaxis Use Among Men Who Have Sex With Men in Montreal, Canada: Implications for HIV Prevention.American journal of epidemiology · 2020Article
- Seeing Is Believing? Unique Capabilities of Internet-Only Studies as a Tool for Implementation Research on HIV Prevention for Men Who Have Sex With Men: A Review of Studies and Methodological Considerations.Journal of acquired immune deficiency syndromes (1999) · 2019Article
- Differences Between Groups of Pre-exposure Prophylaxis (PrEP) Using Couples in HIV-Negative/Unknown Relationships.Journal of acquired immune deficiency syndromes (1999) · 2019Article
- Next-Wave HIV Pre-Exposure Prophylaxis Implementation for Gay and Bisexual Men.AIDS patient care and STDs · 2019Review
- Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
PrEP and treatment-as-prevention (TasP) are biomedical strategies to reduce HIV transmission. Some men who have sex with men (MSM) are combining biomedical strategies with HIV serosorting-termed "biomed matching" when both partners are either on PrEP or TasP, or "biomed sorting" when one partner is using PrEP and the other TasP. Nevertheless, there is limited data on the extent of biomed matching/sorting in large geographically diverse samples. In 2016-2017, 5021 MSM from across the US were surveyed about their HIV status and HIV viral load/PrEP use, as well as that of their recent casual male partners. For each participant, we calculated the proportion of his partners who were (1) HIV-positive and undetectable, (2) HIV-positive and detectable/unknown, (3) HIV unknown/undiscussed, (4) HIV-negative on PrEP, (5) HIV-negative, not on PrEP. In total, 66.6% (n = 3346) of participants were HIV-negative and not on PrEP, 11.9% (n = 599) on PrEP, 14.1% (n = 707) HIV-positive and undetectable, 1.1% (n = 55) HIV-positive and viral load detectable/unknown, and 6.2% (n = 313) HIV unsure/unknown. A participant's own HIV and PrEP status/was significantly associated with that of his partners (all p < 0.001), evincing evidence of both serosorting and biomed matching. Among men on PrEP and those who were HIV-undetectable, there was also some evidence to suggest these participants dually engaged in biomed matching as well as biomed sorting. We found evidence of biomed matching and sorting, which may compound its effectiveness for those using it (i.e., both partners bring biomedical protection). Unintended consequences of biomed matching/sorting include that men not using a biomedical strategy may be less likely to benefit from a partner's use of the strategy-potentially further driving disparities in HIV infections. Public health campaigns might be well served to highlight not only the benefits that biomedical HIV prevention strategies provide for their users (e.g., "being on PrEP protects me from getting HIV"), but also the benefits that a user brings to his partners (e.g., "my use of PrEP means my partners won't get HIV"), and the benefits of being with a partner who is using a biomedical strategy (e.g., "my partner's use of PrEP/TasP protects me from HIV").
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.