Evaluation of an Ecohealth Approach to Public Health Intervention in Ha Nam, Vietnam
Bibliographic record
Abstract
CONTEXT: Ecohealth is a transdisciplinary research approach that considers socio-economic, cultural, and environmental factors. Ecohealth program assessment is sometimes unable to capture the process of change, especially when the evidence is not well documented. As such, there is a need to better understand how ecohealth approaches are understood, integrated, and adapted in practice to support the sustainability of the approach. OBJECTIVE: To evaluate the use of an ecohealth approach to a community-based intervention to improve environmental sanitation and draw lessons learned for similar public health initiatives. DESIGN: An iterative evaluation approach involving 27 in-depth interviews and 9 focus group discussions was used to gather feedback on the intervention activities and outcomes from all participants. SETTING AND PARTICIPANTS: The study site was Hoang Tay commune, Kim Bang district, Ha Nam province. The participants included 12 farmers, 4 local policy makers, and 7 researchers from Hanoi University of Public Health. RESULTS: The farmers provided specific shortcomings of the biogas procedure steps, while the local authorities identified new and more effective ways to promote sanitation guidelines. Outcomes, as behavior changes, in 3 participant groups were captured. CONCLUSION: Participation in ecohealth interventions should be collegial to give opportunities for all related stakeholders to build capacity, support, and achieve the transdisciplinary principle. This also helps ensure that the community-based solutions are incorporated in public health interventions. Participatory monitoring and evaluation should support the understanding of the implementation process to capture intervention outcomes.
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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 | 0.056 | 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 | 0.000 | 0.003 |
| 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".