Mothers to Babies & Art of Creation: Canadian stakeholder engagement during intervention development
Bibliographic record
Abstract
Abstract Background The 2021 British Medical Research Council framework, outline that effective development of interventions requires engagement of diverse stakeholders. In practice, however, engaging stakeholders in health intervention development often receives insufficient investment. The Mothers to Babies (M2B) Study and its linked Art of Creation (AoC) Intervention Project comprise a joint case study in prioritizing stakeholder engagement. Methods From 2016 to 2019, our M2B team dedicated its financial and personnel resources to assessing community health priorities for preventing non-communicable diseases (NCDs) in Hamilton, Canada. Motivated by a “first 1000 days” approach (i.e. health environments through pregnancy and infancy have outsized impacts on NCD risks across a child’s life), we worked with stakeholders to identify acceptable, feasible complex intervention strategies supportive of health behaviours among pregnant Hamiltonians. To this end, we surveyed 434 pregnant people of diverse backgrounds and ran focus groups, interviews, and meetings with 69 stakeholders with diverse orientations to pregnancy and family health provision. Results M2B’s work indicated two areas actionable through a complex, behavioural intervention: 1) lack of knowledge about the first 1000 days, and 2) need for platforms for peer support and empowerment. These themes were centred in the development and the stakeholder-engaged implementation/evaluation of the ongoing AoC intervention study. AoC uses outreach through local cultural institutions and arts-based workshops to facilitate understanding of the first 1000 days. AoC increases participants’ knowledge of the first 1000 days, supports social relationships among participants and is enjoyable and empowering. Conclusions Investing three years and dedicated personnel to stakeholder engagement by M2B yielded the development of AoC, a complex health promotion intervention that fits the diverse priorities of Hamilton communities.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".