Cost-effectiveness of increased HIV testing among MSM in The Netherlands
Bibliographic record
Abstract
OBJECTIVES: To assess the cost-effectiveness of increased consistent HIV testing among MSM in the Netherlands. METHODS: Among MSM testing at sexually transmitted infection clinics in the Netherlands in 2014-2015, approximately 20% tested consistently every 6 months. We examined four scenarios with increased percentage of MSM testing every 6 months: a small and a moderate increase among all MSM; a small and a moderate increase only among MSM with at least 10 partners in the preceding 6 months. We used an agent-based model to calculate numbers of HIV infections and AIDS cases prevented with increased HIV testing. These numbers were used in an economic model to calculate costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) due to increased testing, over 2018-2027, taking a healthcare payer perspective. RESULTS: A small increase in the percentage testing every 6 months among all MSM resulted in 490 averted HIV infections and an average ICER of &OV0556;27 900/QALY gained. A moderate increase among all MSM, resulted in 1380 averted HIV infections and an average ICER of &OV0556;36 700/QALY gained. Both were not cost-effective, with a &OV0556;20 000 willingness-to-pay threshold. Increasing the percentage testing every 6 months only among MSM with at least 10 partners in the preceding 6 months resulted in less averted HIV infections than increased testing among all MSM, but was on average cost-saving. CONCLUSION: Increased HIV testing can prevent considerable numbers of new HIV infections among MSM, but may be cost-effective only if targeted at high-risk individuals, such as those with many partners.
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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 | 0.001 |
| 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".