Trends in ART Initiation among Men and Non-Pregnant/Non-Breastfeeding Women before and after Option B+ in Southern Malawi
Bibliographic record
Abstract
BACKGROUND: Option B+ is promoted as a key component to eliminating vertical transmission of HIV; however, little is known about the policy's impact on non-targeted populations, such as men and non-pregnant/non-breastfeeding women. We compare ART uptake among non-targeted populations during pre/post Option B+ periods in Zomba District, Malawi. METHODS: Individual-level ART registry data from 27 health facilities were digitized and new ART initiates were disaggregated by sex and type of initiate (Option B+ or not). Data were analyzed over the pre- (January 2009-June 2011) and post- (July 2011- December 2013) Option B+ periods. RESULTS: After the implementation of Option B+, the total number of new female initiates increased significantly (quarterly median: 547 vs. 816; P = 0.001) and their median age decreased from 34 to 31 years (P = <0.001). Both changes were the result of the rapid and sustained uptake of ART among Option B+ clients. Post-policy, Option B+ clients represented 48% of all new female initiates while the number of females who initiated through CD4 or WHO staging criteria significantly decreased (quarterly median: 547 vs. 419; P = 0.005). The number and age of male initiates remained stable; however, the proportion of men among new initiates decreased (36% vs. 31%; P = <0.001). CONCLUSIONS: Option B+ shifted the profile of first-time initiates towards younger and fertile women. Declines among non-Option B+ women most likely reflect earlier initiation during pregnancies before deteriorations in health. The decreased proportion of men among first-time initiates represents a growing gender disparity in HIV services that deserves immediate attention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".