Feasibility of delivering vitamin A supplementation (VAS) and deworming through routine community health services in Siaya County, Kenya: A cross‐sectional study
Bibliographic record
Abstract
Vitamin A deficiency and soil-transmitted helminth infection are serious public health problems in Kenya. The coverage of vitamin A supplementation and deworming medication (VASD) provided through mass campaigns is generally high, yet with a cost that is not sustainable, while coverage offered through routine health services is low. Alternative strategies are needed that achieve the recommended coverage of >80% of children twice annually and can be managed by health systems with limited resources. We undertook a study from September to December 2021 to compare the feasibility and coverage of VASD locally delivered by community health volunteers (CHV) ("intervention arm") to that achieved by the bi-annual Malezi Bora campaign event ("control arm"). This comparative cross-sectional study was conducted in sub-counties of Siaya County using both qualitative and quantitative methods. VASD were offered through the CHS in Alego Usonga and through Malezi Bora in Bondo Sub-County. Coverage was assessed by a post-event coverage survey among caregivers of children aged 6-59 months (n = 307 intervention; n = 318 control). Key informant interviews were conducted with n = 43 personnel across both modalities, and 10 focus group discussions were conducted with caregivers of children aged 6-59 months to explore knowledge, attitudes and perceptions of the two strategies. VAS coverage by CHV was 90.6% [95% CI: 87.3-93.9] compared to 70.4% [95% CI: 65.4-75.4] through the Malezi Bora, while deworming coverage was 73.9% [95% CI: 69.0-78.7] and 54.7% [95% CI: 49.2-60.2], respectively. With sufficient training and oversight, CHV can achieve superior coverage to campaigns.
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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 | 0.000 | 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".