Understanding Reasons for HIV Late Diagnosis: A Qualitative Study Among HIV-Positive Individuals in Amsterdam, The Netherlands
Bibliographic record
Abstract
Since the introduction of effective anti-retroviral therapy, early diagnosis and treatment of HIV have become increasingly important from individual and public health perspectives. People who are diagnosed with a CD4 count below 350 cells/µL blood are today considered to be "late" diagnoses. In an effort to understand the reasons for late diagnosis, we conducted in-depth interviews (n = 14) in Amsterdam, the Netherlands. Two main factors were identified: psychosocial factors and health-system factors. Psychosocial factors relate to people's personal relationship with health professionals, low risk perception, fear related to the outcome of testing, and trauma from observed past experiences of living with HIV. Health-system factors relate to institutional barriers and missed opportunities during client-provider interactions. We conclude that in order to mitigate late diagnosis, the social and institutional context within which HIV testing is conducted should be addressed.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".