Household cost-benefit equations and sustainable universal childhood immunisation: a randomised cluster controlled trial in south Pakistan [ISRCTN12421731]
Bibliographic record
Abstract
BACKGROUND: Household decision-makers decide about service use based largely on the costs and perceived benefits of health interventions. Very often this leads to different decisions than those imagined by health planners, resulting in under-utilisation of public services like immunisation. In the case of Lasbela district in the south of Pakistan, only one in every ten children is immunised despite free immunisation offers by government health services. METHODS/DESIGN: In 32 communities representative of Lasbela district, 3344 households participated in a baseline survey on early child health. In the 18 randomly selected intervention communities, we will stimulate discussions on the household cost-benefit equation, as measured in the baseline. The reference (control) communities will also participate in the three annual follow-up surveys, feedback of the general survey results and the usual health promotion activities relating to immunisation, but without focussed discussion on the household cost-benefit equations. DISCUSSION: This project proposes knowledge translation as a two-way communication that can be augmented by local and international evidence. We will document cultural and contextual barriers to immunisation in the context of household cost-benefit equations. The project makes this information accessible to health managers, and reciprocally, makes information on immunisation effects and side effects available to communities. We will measure the impact of this two-way knowledge translation on immunisation uptake.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".