Evidence map›Paper›PMID 35886681›Full record

ArticleInternational journal of environmental research and public health2022

Determinants of PrEP Uptake, Intention and Awareness in the Netherlands: A Socio-Spatial Analysis.

Haoyi Wang, Oladipupo Shobowale, Chantal den Daas, Eline Op de Coul, Bouko Bakker, Aryanti Radyowijati, Koenraad Vermey, Arjan van Bijnen, Wim Zuilhof, Kai J Jonas

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Haoyi WangDepartment of Work and Social Psychology, Maastricht University, 6200 ER Maastricht, The Netherlands.ORCID 0000-0002-1844-7156
Oladipupo ShobowaleDepartment of Work and Social Psychology, Maastricht University, 6200 ER Maastricht, The Netherlands.ORCID 0000-0002-3371-4515
Chantal den DaasHealth Psychology, University of Aberdeen, Aberdeen AB24 3 FX, UK.ORCID 0000-0003-0955-3691
Eline Op de CoulCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands.ORCID 0000-0002-8263-9187
Bouko BakkerRutgers, 3511 MJ Utrecht, The Netherlands.
Aryanti RadyowijatiResultsinHealth, 2352 BN Leiderdorp, The Netherlands.
Koenraad VermeySoa Aids Netherlands, 1014 AX Amsterdam, The Netherlands.
Arjan van BijnenSoa Aids Netherlands, 1014 AX Amsterdam, The Netherlands.
Wim ZuilhofSoa Aids Netherlands, 1014 AX Amsterdam, The Netherlands.
Kai J JonasDepartment of Work and Social Psychology, Maastricht University, 6200 ER Maastricht, The Netherlands.ORCID 0000-0001-6607-1993
Aidsfonds · NLMaastricht University · NLNational Institute for Public Health and the Environment · NLRutgers Sexual and Reproductive Health and Rights · NLUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PrEP uptake in the Netherlands is growing but remains at suboptimal levels. Hence, the analysis of hurdles is paramount. Given the initial focus of PrEP provision among men-who-have-sex-with-men (MSM) via a demonstration project that was launched in June 2015, AmPrEP in Amsterdam, and pharmacies in the main urban areas (so called "Randstad", entailing Amsterdam, Utrecht, Leiden, The Hague and Rotterdam), investigating regional differences is necessary. This study seeks to unravel regional differences jointly with the psycho-social determinants of PrEP uptake. This cross-sectional study included 3232 HIV-negative MSM recruited via the Dutch subsample of the European-MSM-Internet-Survey in late 2017 (EMIS-2017), which aimed to inform interventions for MSM who are highly affected by infections with HIV and other sexually transmitted infections. Prevalence and the standardised prevalence ratio (SPR) of PrEP awareness, intention and uptake were measured on a regional level (Randstad vs. the rest of the country). Multi-level logistic modelling was conducted to identify the association of PrEP uptake with PrEP awareness and intention, socio-demographic, psycho-social determinants and random effects from regional differences. MSM from the Randstad used more PrEP (SPR = 1.4 vs. 0.7) compared to the rest of the country, but there were minor differences for awareness and intention. The regional distinction was estimated to explain 4.6% of the PrEP use variance. We observed a greater influence from PrEP intention (aOR = 4.5, 95% CI 2.0-10.1), while there was limited influence from the awareness of PrEP (aOR = 0.4, 95% CI 0.04-4.4). Lower education (aOR = 0.4, 95% CI 0.2-0.9) was negatively associated with PrEP uptake; however, no significant difference was found between middle (aOR = 1.2, 95% CI 0.7-2.0) and high education. We showed that regional differences-MSM in non-urban regions-and other psycho-social determinants account for lower PrEP uptake. Based on these findings, more fine-tuned PrEP access with a focus on non-urban regions can be implemented, and tailored campaigns increasing intention/use can be conducted among target populations.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesCross-Sectional StudiesHomosexuality, MaleHumansIntentionMaleNetherlandsSpatial AnalysisHIV preventionMSMPrEP use/uptakesocio-spatial analysis

Identifiers

PMID35886681
PMCPMC9315833
OpenAlexW4286005744

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.