Evidence map›Paper›PMID 31583823›Full record

ArticleJournal of the International AIDS Society2019

Factors associated with the informal use of HIV pre-exposure prophylaxis in Germany: a cross-sectional study.

Uwe Koppe, Ulrich Marcus, Stefan Albrecht, Klaus Jansen, Heiko Jessen, Barbara Gunsenheimer-Bartmeyer, Viviane Bremer

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
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  4. HIV, STI and renal function testing frequency and STI history among current users of self-funded HIV pre-exposure prophylaxis, a cross-sectional study, Germany, 2018 and 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  5. Analysis of HIV pre-exposure prophylaxis (PrEP) needs and PrEP use in Germany among men who have sex with men.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Uwe KoppeDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.ORCID 0000-0001-9718-5811
Ulrich MarcusDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Stefan AlbrechtDepartment of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Klaus JansenDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Heiko JessenPraxis Jessen² + Kollegen, Berlin, Germany.
Barbara Gunsenheimer-BartmeyerDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Viviane BremerDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Robert Koch Institute · DEOrthopädische Praxis · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUntil September 2019, pre-exposure prophylaxis (PrEP) with tenofovir disoproxil/emtricitabine for HIV prevention was not covered by health insurance plans in Germany, and was only available through private prescriptions with self-pay or through informal non-prescription sources. The objective of this study was to investigate the proportion of informal PrEP use among PrEP users and to identify factors of public health relevance that might be associated with informal PrEP use.

methodsWe conducted a cross-sectional study recruiting PrEP users independent of their PrEP source. Clients from anonymous community testing checkpoints, users of three dating apps for men who have sex with men residing in Germany and users of a PrEP community website, were recruited to complete a short anonymous online survey. Participants were recruited between 24 July and 3 September 2018. The results were analysed using univariable and multivariable logistic regressions.

resultsWe recruited 2005 participants currently using PrEP. The median age was 38 years, and 80.3% of the participants identified themselves as male (missing: 19.1%). Overall, 71.6% obtained PrEP through medical services with a private prescription or a clinical trial, and 17.4% obtained PrEP through informal sources (missing: 11.0%). The most common informal sources were ordering online from another country (8.8%), travel abroad (3.6%), and friends (2.5%). Factors associated with informal PrEP use were on demand/intermittent dosing (adjusted OR: 3.5, 95% CI 2.5 to 5.0) and not receiving medical tests during PrEP use (adjusted OR: 3.2, 95% CI 2.0 to 5.2). In addition, informal PrEP users who did not take PrEP daily had a strongly increased risk of starting PrEP without prior medical tests (adjusted stratum-specific OR = 31.7, 95% CI 4.6 to 219.5).

conclusionsInformal PrEP use was associated with a higher risk of not getting tested before and during PrEP use, which could lead to HIV infections resistant to tenofovir and emtricitabine if people with undiagnosed HIV use PrEP. Health insurance plans that cover PrEP and the accompanying routine tests could ensure adequate medical supervision of PrEP users and reduce barriers to PrEP use. Our findings strongly support the implementation of PrEP programmes in countries with similar patterns of informal PrEP use.

Indexed as

Pre-Exposure ProphylaxisAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHIV InfectionsHumansLogistic ModelsMaleMiddle Agedaffordabilityinformal PrEPmen who have sex with mennon-daily usePrEPtesting

Identifiers

PMID31583823
PMCPMC6776824
OpenAlexW2979104158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.