The impact of an integrated community-based micronutrient and health programme on anaemia in non-pregnant Malawian women
Bibliographic record
Abstract
OBJECTIVE: To assess the impact of an integrated community-based micronutrient and health (MICAH) programme on anaemia (Hb < 120 g/l) among non-pregnant rural Malawian women aged 15-49 years from communities that participated in the 1996-2005 MICAH programme. DESIGN: Prospective study of two large-scale cross-sectional surveys conducted in 2000 and 2004 as part of programme evaluation in MICAH and Comparison areas. SETTING: Rural areas across Malawi. The MICAH programme implemented a comprehensive package of interventions to reduce anaemia, based on a broad range on direct and indirect causes in Malawi. The project approaches included: Fe supplementation; dietary diversification and modification; food fortification; and strengthening primary health care. PARTICIPANTS: Non-pregnant women of childbearing age (15-49 years old, n 5422), from randomly selected households that responded to a household questionnaire, had their Hb measured from finger-prick blood samples using the HemoCue. RESULTS: In 2000, there was no significant difference in Hb concentration between MICAH and Comparison areas (mean (SE): 117.4 (0.4) v. 116.8 (0.5) g/l, P > 0.05) and the corresponding prevalence of anaemia (53.5 % v. 52.9 %, P > 0.05). By 2004, Hb concentration had increased significantly in MICAH but not in Comparison areas (mean (SE): 121.0 (0.4) v. 115.7 (0.6) g/l, P < 0.001), and the prevalence of anaemia had declined significantly in MICAH areas (53.5 % to 44.1 %, chi2 = 28.2, P < 0.0001) but not in Comparison areas (52.8 % to 54.0 %, chi2 = 0.3, P = 0.6). CONCLUSIONS: The MICAH programme was an effective public health nutrition programme that was associated with significant reductions in the prevalence of anaemia among non-pregnant rural Malawian women.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".