Genitourinary medicine/HIV services for persons with insecure immigration or seeking asylum in the United Kingdom: a British Co-operative Clinical Group survey
Bibliographic record
Abstract
Over the past three years many genitourinary medicine (GUM) clinics have anecdotally reported large numbers of persons with insecure immigration or seeking asylum (PIISA) attending their facilities. We conducted a national survey to assess the prevalence and demographic background of PIISA who were attending GUM clinics in the UK during 2001 and 2002 and the effect on service provision. A questionnaire was circulated in April 2003 to 182 consultants in the UK of whom 128 (70%) responded. Amongst those centres that responded, 89 (69%) had provided GUM/HIV services for PIISA in 2002. One-third of clinics had accurate data collection systems and less than a quarter used computerized databases in order to identify the associated workload. Of the HIV-positive patients attending these clinics during 2002, 1140 (42%) were identified as PIISA. Eighty-two (95.3%) and 62 (48.8%) clinics had cared for PIISA from Africa and Europe respectively. Co-infection with HIV and tuberculosis was higher in patients from the PIISA group compared with the non-PIISA group (85% vs 15%, P = 0.001) for both 2001 and 2002. Clinics reported many problems associated with the service for PIISA. Forty-five percent of the clinics reported difficulties with funding for the increased workload associated with PIISA. The survey shows that GUM services have an important role in the management of PIISA and that the programme of dispersal is having a significant impact on the workload of clinics outside London. Services report that they are significantly overstretched and underfunded. An immediate investment in GUM services is necessary to improve the health of this client group. Any delay in diagnosis of sexually transmitted infections and HIV will have implications for public health and acute services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".