Maternal, newborn and child health needs, opportunities and preferred futures in Arusha and Ngorongoro: hearing women’s voices
Bibliographic record
Abstract
BACKGROUND: With the approaching sunset on the Millennium Development Goals (MDGs), Tanzania continues with its final national push towards achievement of MDG #4 and MDG #5. The Mama Kwanza Socio-economic Health Initiative (MKSHI) was introduced in the hope of contributing to improving maternal, newborn, and child health in Arusha and Ngorongoro. The MKSHI project is a holistic, inter-sectoral approach to maternal, newborn, and child health which aligns with the Government of Tanzania's Vision 2025. At the project onset, a baseline assessment was conducted to launch ongoing benchmarking, monitoring, and evaluation of the project's impacts and implications. The aim of this baseline assessment was twofold. First it was to determine the state of maternal, newborn, and child health in the two project sites. Second it was to ensure that a baseline of key indicators was established as well as identification of unique indicators relevant to the populations of interest. RESULTS: The baseline study was a mixed methods approach to identify maternal, newborn, and child risk factors and indicators in the two target sites. This paper focuses on the qualitative methods and findings. The qualitative component included a series of five community dialogue meetings and thirty-seven individual/dyad interviews with women, providers, and stakeholders. Initially, community meetings were held as open dialogues on maternal, newborn, and child health issues, opportunities, and preferred futures. Individual/dyad interviews were held with women, providers, and stakeholders who held unique information or experiences. Both community dialogue and interview data was analysed for themes and guiding or critical comments. Three over-arching findings emerged: What took you so long to come? How do we know what you know? and How will it change for our daughters? CONCLUSIONS: Participant voices are vital in ensuring the achievement of local and global efforts and preferred futures for maternal, newborn, and child health services. This study contributes to the inclusion of women in all aspects of the planning, implementation, and delivery of maternal, newborn, and child health services in the target areas and beyond.
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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 | 0.002 | 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".