'Who is Helsinki?' Sex workers advise improving communication for good participatory practice in clinical trials
Bibliographic record
Abstract
After premature closures in 2004 of biomedical human immunodeficiency virus (HIV) prevention trials involving sex workers in Africa and Asia, the Joint United Nations Programme on HIV/AIDS (UNAIDS) and Global Advocacy for HIV Prevention (AVAC) undertook consultations to establish better participatory guidelines for such trials in order to address ethical concerns. This study investigated sex workers' knowledge and beliefs about research ethics and good participatory practices (GPP) and the perspectives of sex workers on research participation. A 33-question survey based on criteria identified by UNAIDS and AVAC was translated into three other languages. Participants were recruited through mailing lists and contacts with existing sex work networks. In total, 74 responses from Europe, the Americas and Asia were received. Thirty percent of respondents reported first-hand involvement in biomedical HIV prevention trials. Seventy percent indicated a lack of familiarity with codes of ethics for research. This paper focuses exclusively on communication issues described in survey responses. Communication was an important theme: the absence of clear communication between trial participants and investigators contributed to premature trial closures in at least two sites. Sex workers had recommendations for how researchers might implement GPP through improved communication, including consultation at the outset of planning, explaining procedures in non-technical terms and establishing clear channels for feedback from participants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.555 | 0.622 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.016 | 0.024 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.021 | 0.033 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".