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Record W4416554578 · doi:10.1038/s41415-025-8920-z

Point-of-care HIV testing in UK dental settings: outcomes of a feasibility and acceptability study

2025· article· en· W4416554578 on OpenAlexaff
Janine Doughty, Fiona Burns, Anthony J. Santella, Aidan G O Keeffe, Stephen Porter, Richard G. Watt

Bibliographic record

VenueBDJ · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS oral health manifestations
Canadian institutionsCentre for Global Health Research
FundersNational Institute for Health and Care Research
KeywordsHiv testHuman immunodeficiency virus (HIV)Psychological interventionTest (biology)Intervention (counseling)PopulationHIV screening

Abstract

fetched live from OpenAlex

) which can lead to poorer health outcomes. HIV testing in non-traditional healthcare settings has played an important role in identifying patients with undiagnosed HIV. Expanding HIV testing into non-traditional healthcare settings such as dental practices could offer an opportunity to access an untapped population.Aim The aim of this study was to determine the acceptability of HIV point of care testing (POCT) in dental settings in the UK and the feasibility of a full-scale trial.Methods A universal, opt-out, HIV POCT intervention using the INSTI rapid finger-prick test was implemented in London-based dental practices. Dental professionals were trained and subsequently delivered the HIV testing. Questionnaires were administered to all patients who were offered HIV testing.Results In total, 441 patients were offered HIV testing and 47.8% accepted. No reactive HIV test results were found. First-time testers accounted for one-third of all questionnaire respondents who had accepted testing. Patients found the intervention highly acceptable. The main reason to decline HIV test offers was perceived low risk of HIV infection.Conclusions Uptake of HIV testing in UK dental settings compares favourably with similar interventions in medical settings. Patient acceptability was high but the potential for the intervention to identify people with HIV in the population under study was uncertain.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.390
Teacher spread0.350 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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