Rumination, risk, and response: a qualitative analysis of sexual health anxiety among online sexual health chat service users
Bibliographic record
Abstract
BACKGROUND: Anxiety is common among sexual health service users. Accessible, anonymous online sexual health services may offer opportunities to connect users with mental health services, but little is known about anxiety in these settings. We sought to characterise expressions of anxiety among chat users and nurse responses to anxiety. METHODS: We conducted inductive thematic analysis of transcripts from an anonymous online sexual health chat service moderated by sexual health nurses. RESULTS: Among chat users, we identified: worry, anxiety, and emotional distress, particularly regarding HIV transmission risk, testing, and symptoms; exaggerated appraisal of HIV-transmission risk associated with sex-related shame and stigma; and patterns of anxiety that were unresolved by HIV education or testing interventions. Although nurses recognised and acknowledged anxiety, their responses to this anxiety varied; some provided anxiety management information, while others offered sexual health education and risk assessment. CONCLUSIONS: Targeted interventions addressing HIV-related stigma and anxiety among online sexual health service users are needed to facilitate connections to appropriate mental health supports.
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".