dc.contributor.author
Schmidt, Daniel
dc.contributor.author
Duport, Yannick
dc.contributor.author
Kollan, Christian
dc.contributor.author
Marcus, Ulrich
dc.contributor.author
Iannuzzi, Sara
dc.contributor.author
Kleist, Max von
dc.date.accessioned
2024-08-08T08:06:56Z
dc.date.available
2024-08-08T08:06:56Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/44438
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-44150
dc.description.abstract
Background
Pre-exposure prophylaxis (PrEP) with oral emtricitabine/tenofovir disoproxil (FTC/TDF) proved highly efficient in preventing HIV. Since 09/2019, FTC/TDF-PrEP is covered by health insurances in Germany, if prescribed by licensed specialists. However, methods to longitudinally monitor progress in PrEP implementation in Germany are lacking.
Methods
Utilizing anonymous FTC/TDF prescription data from 2017-2021, we developed a mathematical model to disentangle HIV-treatment from PrEP prescriptions, as well as to translate PrEP prescriptions into number of PrEP users. We used the model to estimate past- and future PrEP uptake dynamics, to predict coverage of PrEP needs and to quantify the impact of COVID-19 on PrEP uptake on a national and regional level.
Results
We identified significant (p<0.01) decelerating effects of the first- and second COVID-19-lockdown on PrEP uptake in 04/2020 and 12/2020. We estimated 26,159 (CI: 25,751-26,571) PrEP users by 12/2021, corresponding to 33% PrEP coverage of people in need. We projected 64,794 (CI: 62,956-66,557) PrEP users by 12/2030, corresponding to 81% PrEP coverage. We identified profound regional differences, with high PrEP coverage and uptake in metropoles and low coverage in more rural regions.
Conclusions
Our approach presents a comprehensive solution to monitor and forecast PrEP implementation from anonymous data and highlighted that the COVID-19 pandemic significantly decelerated PrEP uptake in Germany. Moreover, slow PrEP uptake in rural areas indicate that structural barriers in PrEP care, education or information exist that may hamper the goal of ending the AIDS epidemic by 2030.
en
dc.format.extent
12 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
HIV-PrEP users
en
dc.subject
PrEP coverage
en
dc.subject
Pharmaceutical prescription data
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::615 Pharmakologie, Therapeutik
dc.title
Dynamics of HIV PrEP use and coverage during and after COVID-19 in Germany
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
1691
dcterms.bibliographicCitation.journaltitle
BMC Public Health
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
24
dcterms.bibliographicCitation.url
https://doi.org/10.1186/s12889-024-19198-y
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1471-2458
refubium.resourceType.provider
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