Promoting high standards of care for women living with HIV: position statement from the Women Against Viruses in Europe Working Group
Bibliographic record
Abstract
OBJECTIVES: Gender-related factors can influence management decisions, treatment outcomes and the overall long-term wellbeing of people living with HIV (PLWH). The Women Against Viruses in Europe (WAVE) Working Group was established to promote the health and wellbeing of women living with HIV (WLWH). WAVE is part of the European AIDS Clinical Society (EACS) and organizes annual workshops to discuss different issues in the management of WLWH. METHODS: In 2016, 34 WAVE members including community representatives, HIV clinicians and researchers met to discuss standards of care for WLWH and to review current guidelines. Participants focused on three different themes: (1) access to and engagement and retention in care; (2) monitoring of women on antiretroviral therapy and management of comorbidities; and (3) review of EACS treatment guidelines. RESULTS: Five priority areas for optimizing the care of WLWH were identified: (1) psychosocial aspects of HIV diagnosis and care; (2) mental health and wellbeing; (3) pharmacokinetics, toxicity and tolerability of antiretroviral therapy; (4) coinfections and comorbidities; and (5) sexual and reproductive health. WAVE recommendations are provided for each of these areas, and gaps in knowledge and needs for changes in currently existing standards are discussed. CONCLUSIONS: This position statement provides an overview of the key recommendations to optimize the care of WLWH that emerged during the 2016 WAVE workshop.
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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 | 0.062 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.016 | 0.021 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".