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Prevalence of HIV infection in a multi-site sample of injecting drug users not in contact with treatment services in England

2000· letter· en· W2057148814 on OpenAlexaboutno aff
Ali Judd, Gerry V. Stimson, Matthew Hickman, Gillian Hunter, Steve Jones, John V. Parry, Peter W. Madden

Bibliographic record

VenueAIDS · 2000
Typeletter
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePublic healthPsychological interventionOutbreakFamily medicineDemographyEnvironmental healthPsychiatryVirologyPathology

Abstract

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Injecting drug use accounts for the largest proportion of AIDS cases in Europe, and this proportion is increasing [1]. In England, relatively low prevalence of HIV (between 1 and 10%) were recorded from injecting drug users (IDU) recruited from both drug agencies and community settings between 1991 and 1998 [2–4]. The swift introduction of preventive interventions in the UK when HIV prevalence among IDU was low has been hailed a public health success [5]. However, in the wake of recent reports of high prevalence and rapid outbreaks of HIV in other parts of Europe [1,6], has the UK's relatively fortunate position been sustained? We recruited the first ever multi-site sample of IDU not in contact with treatment services in England. The methodology of this study has been described elsewhere [7]. Briefly, 753 IDU were recruited from community-based settings in seven sites in England in 1997/1998, and completed a structured interview and provided oral fluid specimens using the EpiScreen device (Epitope Inc., Oregon, USA). All had injected drugs, and had not received treatment for their drug use, in the previous month. Respondents were recruited through social network sampling by trained interviewers [4]. Specimens were anonymously screened for anti-HIV by the Wellcozyme HIV 1+2 GACELISA (VK61; Murex Diagnostics Ltd., Dartford, UK), with confirmatory testing for positive specimens [8]. t-Tests, χ2 tests and exact binomial confidence intervals for proportions were used to describe the data and examine the association between risk factors and prevalence of anti-HIV. The majority of IDU were male (71.1%), and just under a third (30.2%) were under 25 years of age. Over a third (39.8%) had been injecting for less than 5 years, and a third were recruited in London. London injectors had a higher mean duration of injecting career than their counterparts in the rest of England (12 versus 7 years, P < 0.001). The overall prevalence of anti-HIV was 1.9% (95% confidence interval 1.0–3.1%, Table 1). No anti-HIV was detected among those aged 25 years and under, and those injecting for 5 years or less. However, prevalence rose with increasing age and increasing duration of injecting (Table 1). Anti-HIV prevalence was also raised among IDU in London and stimulant injectors. Because there were no cases of HIV among young injectors, and those with short injecting careers, it was not possible to conduct multivariate analysis.Table 1: Prevalence of anti-HIV by key demographic characteristics. These results provide new evidence to suggest that the prevalence of HIV infection among IDU in England continues to be low. Although there are limitations with using prevalence as a marker of disease burden, it is encouraging that in this study no HIV was detected in younger injectors and those with shorter injecting careers, potentially indicating that incidence is low or negligible in this group. This finding adds further support to evidence for the effectiveness of harm reduction measures in England [4,5], and should serve to reassure UK policy makers that prevention activities continue to have an impact on HIV transmission. These results also lead to optimism about the prevention of other blood-borne infections among IDU in the UK. All 15 member states of the European Union provide syringe exchange programmes and substitution therapy for drug users [6], although the scale, nature and year of introduction of these interventions varies. The sheer scale of interventions in the UK, combined with their early introduction, may be the key to continued success in preventing blood-borne virus transmission. For example, in the UK an estimated 28 million syringes were distributed in 1997, from over 2000 outlets (J. Parsons, personal communication). There were also an estimated 150 distinct drug services working in the London area alone, providing a range of harm reduction and specialist treatment interventions [9]. In contrast, the recent rise in HIV prevalence from a low and apparently stable base in Vancouver has been attributed at least partly to the inadequate access to drug treatment, methadone maintenance and counseling services in that city [10]. Recent changes in UK drug policy emphasize a shift in focus from public health approaches towards criminal justice interventions [11,12]. Clearly, policy makers should be warned that such a shift should not be made at the expense of public health interventions, especially as these interventions at the very least have been effective in reducing the harms associated with injecting drug use. Acknowledgements The authors are grateful to the fieldworkers who conducted interviews, those who gave up their time to be interviewed, and the drug agencies that assisted in the recruitment of fieldwork staff and allowed access to outreach clients. The authors would also like to thank Julie Newham at the Virus Reference Division for laboratory support. Ali Judda Gerry V. Stimsona Matthew Hickmana Gillian M. Hunterb Steve Jonesc John V. Parryd Peter Maddena

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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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.308
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 teacher head, not a consensus.

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

Citations8
Published2000
Admission routes1
Has abstractyes

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