Pilot implementation of <i>Bukhali</i> : A preconception health trial in South Africa
Bibliographic record
Abstract
Objectives: This article describes the learnings from the pilot phase of the Healthy Life Trajectories Initiative, a preconception health trial for 18- to 25-year-old women in Soweto, South Africa. Methods: The study compares two arms focussed on either physical and mental health (intervention; delivered by community health workers – ‘Health Helpers’) or standard of care plus (control; standard access to healthcare plus additional telephonic input on ‘life skills’; delivered by call centre assistants). These are collectively referred to as Bukhali. Data on the pilot implementation of the Bukhali trial (n = 1655) were collected from (1) weekly team meetings, (2) two focus groups (one with the intervention team Health Helpers, n = 7; one with intervention participants, n = 8) and one paired interview with control call centre assistants (n = 2), (3) notes from eight debrief sessions with Health Helpers and (4) quantitative trial monitoring data. Qualitative data were thematically analysed. Results: The findings clustered within three themes: (1) challenges for young women in Soweto, (2) priorities for young women in Soweto and (3) implementation challenges and perceptions of the intervention. Challenges were mostly related to tough socioeconomic circumstances and less prioritisation of living a healthier life. The priorities of employment and educational opportunities reflected the socioeconomic challenges, where health was not recognised as priority. The main challenge to participation and compliance with the trial was that young women in Soweto generally wanted a tangible and preferably financial and immediate benefit. Community peer sessions, despite being recommended by young women as part of the intervention development, were not successful. Many women also moved between multiple households within Soweto, which flagged concerns for a cluster trial and risk of contamination. Conclusion: Preconception health trials should consider socioeconomic challenges present in urban poor contexts. Learnings from the pilot phase significantly affected the design and implementation of the main Bukhali trial.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".