A Markov transition analysis to study changes in HIV prevention strategies among men who have sex with men in the French ANRS-PREVENIR cohort

Despite various biomedical and behavioral prevention strategies, new HIV seroconversions are disproportionately higher among gay and bisexual men who have sex with men (GBMSM). Using data from the French PrEP cohort ANRS-PREVENIR, this study aimed to investigate prevention strategies among this population and to analyze factors that may shape GBMSMs’ sexual behaviors. We defined three protection states as follows: self-dependent protection (SDP), which covered condom and/or PrEP use, partner-dependent protection (PDP), whereby the partner self-declared being either seronegative or seropositive with an undetectable viral load, and no protection (NP). We constructed a composite variable reflecting the degree of concordance between actual and perceived risk. A continuous-time multi-state Markov model was used to determine transition probabilities between protection states over time. Hazard ratios and their 95% confidence intervals (HR(95%CI)) were computed to identify factors associated with transitions. Irrespective of the protection state at baseline (i.e., SDP, PDP, NP), the highest Markov transition probabilities were to transition from one state to the same state at the next follow-up visit over the entire study period; specifically, the probability [95%CI] was 0.920 [0.916,0.924] for SDP, 0.783 [0.769,0.797] for PDP, and 0.584 [0.546,0.615] for NP. Event-driven PrEP (3.34(2.89–3.85)) and PrEP naivety (1.19(1.04–1.36)) were associated with an increased probability of transitioning from SDP to PDP. PrEP naivety (1.44(1.23–1.69)) and event-driven PrEP (4.15(3.47–4.96)) were also associated with an increased probability of transitioning from SDP to NP. A higher actual/perceived risk concordance score, i.e., higher actual risk and either a greater level of discordance or not considering risk, was associated with a reduced probability to transition from SDP to PDP (0.96 (0.92–0.99)), and was not associated with the transition from SDP to NP. Most GBMSM in our study transitioned from one state of protection to the same state at the next follow-up visit over the entire study period, highlighting the need for close counselling when GBMSM adopt a protection strategy for the first time, as it will shape their future strategies. Our findings also suggest that PrEP-naive and event-driven PrEP users have an increased probability of transitioning to protection strategies that are not self-controlled, raising questions about their vulnerability to HIV acquisition.

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Journal
Scientific Reports
Published
2026-10-30
DOI
https://doi.org/10.1038/s41598-026-77152-x
Primary Topic
HIV/AIDS Research and Interventions
Type
article
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article

A Markov transition analysis to study changes in HIV prevention strategies among men who have sex with men in the French ANRS-PREVENIR cohort

Marion Di Ciaccio, Jade Ghosn, Dominique G. Costagliola, Christel Protière et al.
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Scientific Reports
HIV/AIDS Research and Interventions
article

A Markov transition analysis to study changes in HIV prevention strategies among men who have sex with men in the French ANRS-PREVENIR cohort

Marion Di Ciaccio, Jade Ghosn, Dominique G. Costagliola, Christel Protière, Jean‐Michel Molina, Lydie Béniguel, Bruno Spire, Abdourahmane Sow, Luis Sagaon‐Teyssier, Maxime Hoyer, Lambert Assoumou, David Michels, Clément Boutet, Marion Mora, Raymond van Huizen
article en

Abstract

Despite various biomedical and behavioral prevention strategies, new HIV seroconversions are disproportionately higher among gay and bisexual men who have sex with men (GBMSM). Using data from the French PrEP cohort ANRS-PREVENIR, this study aimed to investigate prevention strategies among this population and to analyze factors that may shape GBMSMs’ sexual behaviors. We defined three protection states as follows: self-dependent protection (SDP), which covered condom and/or PrEP use, partner-dependent protection (PDP), whereby the partner self-declared being either seronegative or seropositive with an undetectable viral load, and no protection (NP). We constructed a composite variable reflecting the degree of concordance between actual and perceived risk. A continuous-time multi-state Markov model was used to determine transition probabilities between protection states over time. Hazard ratios and their 95% confidence intervals (HR(95%CI)) were computed to identify factors associated with transitions. Irrespective of the protection state at baseline (i.e., SDP, PDP, NP), the highest Markov transition probabilities were to transition from one state to the same state at the next follow-up visit over the entire study period; specifically, the probability [95%CI] was 0.920 [0.916,0.924] for SDP, 0.783 [0.769,0.797] for PDP, and 0.584 [0.546,0.615] for NP. Event-driven PrEP (3.34(2.89–3.85)) and PrEP naivety (1.19(1.04–1.36)) were associated with an increased probability of transitioning from SDP to PDP. PrEP naivety (1.44(1.23–1.69)) and event-driven PrEP (4.15(3.47–4.96)) were also associated with an increased probability of transitioning from SDP to NP. A higher actual/perceived risk concordance score, i.e., higher actual risk and either a greater level of discordance or not considering risk, was associated with a reduced probability to transition from SDP to PDP (0.96 (0.92–0.99)), and was not associated with the transition from SDP to NP. Most GBMSM in our study transitioned from one state of protection to the same state at the next follow-up visit over the entire study period, highlighting the need for close counselling when GBMSM adopt a protection strategy for the first time, as it will shape their future strategies. Our findings also suggest that PrEP-naive and event-driven PrEP users have an increased probability of transitioning to protection strategies that are not self-controlled, raising questions about their vulnerability to HIV acquisition.

Scientific Reports
Université Claude Bernard Lyon 1 (FR), Inserm (FR), Université Paris Cité (FR), Aix-Marseille Université (FR), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Lariboisière (FR), Hôpital Saint-Louis (FR), Hôpital Bichat-Claude-Bernard (FR), Economic & Social Sciences, Health Systems & Medical Informatics (FR), Institut de Recherche pour le Développement (FR), Research on healthcare performance (FR), Infection, Anti-microbiens, Modélisation, Evolution (FR)
Styrelsen för Internationellt Utvecklingssamarbete, Gilead Sciences, Sidaction, Agence Nationale de Recherches sur le Sida et les Hépatites Virales
Good health and well-being
Openalex Percentile: Top 12%
HIV/AIDS Research and Interventions
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