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Record W3094912537 · doi:10.1136/sextrans-2020-054681

An update on the performance of STI services for gay and bisexual men across European cities: results from the 2017 European MSM Internet Survey

2020· article· en· W3094912537 on OpenAlexfundno aff
Jason Doran, Peter Weatherburn, Ford Hickson, David Reid, Axel J. Schmidt

Bibliographic record

VenueSexually Transmitted Infections · 2020
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersBundeszentrale für gesundheitliche AufklärungNorwegian Institute of Public HealthHealth CanadaRobert Koch InstitutTerveyden ja hyvinvoinnin laitosUniversitätsspital ZürichUniversiteit MaastrichtFolkhälsomyndighetenPublic Health Agency of CanadaUniversità degli Studi di VeronaBundesamt für GesundheitInstitut National de la Santé et de la Recherche MédicaleHealth Service ExecutivePublic Health AgencyStatens Serum InstitutDirectorate-General for Health and ConsumersUniversity of BristolCentre Hospitalier Universitaire VaudoisEuropean Centre for Disease Prevention and ControlUniversity College LondonWorld Health OrganizationEuropean CommissionUniversity of TorontoKoch Institute for Integrative Cancer Research, Massachusetts Institute of TechnologyHelsedirektoratetLondon School of Hygiene and Tropical MedicineUniversity of WindsorInstituto De Saúde Pública, Universidade do PortoGöteborgs UniversitetStyrelsen för Internationellt Utvecklingssamarbete
KeywordsMedicineMen who have sex with menDemographyLogistic regressionOddsReproductive healthOdds ratioFamily medicineEnvironmental healthHuman immunodeficiency virus (HIV)SyphilisPopulation

Abstract

fetched live from OpenAlex

OBJECTIVES: Rectal STIs compromise health and are common in men who have sex with men (MSM). However, the European-MSM-Internet-Survey (EMIS-2010) showed that in 2010, the prevalence of anal swabbing during STI screening by MSM varied widely across 40 European cities. In this paper, we replicate a variety of measures of STI testing performance using 2017-18 data and extending the geographic spread of the analysis. METHODS: Data were analysed from the EMIS-2017, a 33-language online sexual health survey accessible from 18 October 2017 to 31 January 2018. We focus on a subsample of 38 439 respondents living in the same 40 European cities we reported on in 2010. For a broader perspective, we also included an additional 65 cities in the analysis (combined n=56 661). We compared the prevalence of STI screening in MSM and disclosure of same-sex sexual contacts to the healthcare provider. We applied multivariable logistic regression models to compare the odds of MSM receiving each of four diagnostic procedures, including anal swabbing in the previous 12 months, controlling for age, HIV diagnosis, pre-exposure prophylaxis use and number of sexual partners. RESULTS: In 2017, across 40 European cities, the proportion of respondents screened for STIs ranged from under 19% in Belgrade to over 59% in London. At an individual level, in comparison to London, the adjusted OR (AOR) of having received anal swabbing ranged from 0.03 in Belgrade, Bucharest and Istanbul to 0.80 in Oslo, with little evidence for a difference in Amsterdam and Dublin. Since 2010, most cities in West and South-west Europe have substantially narrowed their performance gap with London, but some in East and South-east Europe have seen the gap increase. CONCLUSIONS: Although comprehensive STI screening in MSM has expanded across many European cities, the low prevalence of anal swabbing indicates that rectal STIs continue to be underdiagnosed, particularly in East/South-east Europe.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.010
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.337
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2020
Admission routes1
Has abstractyes

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