Evaluating the introduction of HIV pre-exposure prophylaxis as a benefit of statutory health insurance (EvE-PrEP) Highly effective protection against HIV without an increase in sexually transmitted infections
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz(2023)
Abstract
Background We investigated the impact of HIV pre-exposure prophylaxis (PrEP) as a new service of the statutory health insurance (SHI) on the incidence of HIV and other sexually transmitted infections (STIs) in Germany. In addition, PrEP needs and access barriers were analyzed.Methods The following data were evaluated as part of the evaluation project: HIV and syphilis notification data and extended surveillance by the Robert Koch Institute (RKI), pharmacy prescription data, SHI routine data, PrEP use in HIV-specialty care centers, Checkpoint, the BRAHMS and PrApp studies, as well as a community board.Results The majority of PrEP users were male (98-99%), primarily aged between 25-45 years, and predominantly of German nationality or origin (67-82%). The majority were men who have sex with men (99%). With regard to HIV infections, PrEP proved to be highly effective. There were only isolated cases of HIV infections (HIV incidence rate 0.08/100 person years); in most cases the suspected reason was low adherence. The incidences of chlamydia, gonorrhea, and syphilis did not increase but remained almost the same or even decreased. A need for information on PrEP for people in trans*/non-binary communities, sex workers, migrants, and drug users emerged. Needs-based services for target groups at increased risk of HIV are necessary.Discussion PrEP proved to be a very effective HIV prevention method. The partly feared indirect negative influences on STI rates were not confirmed in this study. Due to the temporal overlap with the containment measures during the COVID-19 pandemic, a longer observation period would be desirable for a conclusive assessment.
MoreTranslated text
Key words
HIV prevention,Evaluation,Access barriers,Statutory health insurance (SHI),Germany
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined