Healthy Habits, Happy Homes Scotland (4HS) feasibility study: Translation of a home-based early childhood obesity prevention intervention evaluated using RE-AIM framework
Bibliographic record
Abstract
Objective: Healthy Habits, Happy Homes (4H) is a home-based, pre-school childhood obesity prevention intervention which demonstrated efficacy in North America which we translated to Scotland (4HS) by considering contextual factors and adapting study design. RE-AIM Framework was used to assess 1) extent to which development of 4HS intervention (including recruitment) was participatory and inclusive; 2) feasibility of translating a complex public health intervention from one setting to another; 3) extent to which translation was pragmatic and 4) fidelity of intervention to the principles of Motivational Interviewing (MI). Study design: Feasibility testing, process evaluation and measurements of intervention fidelity were undertaken to evaluate the translation of 4H to an economically deprived area of Scotland (4HS). Methods: 4HS study processes; participatory approach, recruitment methods, level of pragmatism were evaluated using the RE-AIM framework. Qualitative and quantitative measures identified key implementation features and functioning of 4HS intervention. Fidelity MI principles was determined through coding of audiotapes using Motivation Interviewing Treatment Integrity (MITI) code. Results: Key facilitators for positive impact with families, included: inclusive recruitment methods, appropriate channels of communication and correspondence (Reach) with n = 126 enquiries and n = 26 (21%) families recruited. Positive links with local parents and community workers integral to the research process at n = 9 meetings (Effectiveness). 61.5% of families lived in the most deprived data zone in Scotland, 23% were one parent families, thus awareness and consideration of local contextual factors (Adoption) and locally relevant materials were important. 4HS was feasible to deliver, pragmatic in nature and intervention demonstrated good fidelity to MI (Implementation). Conclusion: Translation of 4H from North America to Scotland was successful. Future studies should consider implementation of 4HS approach within routine practice within the UK (practice based evidence) or through thoughtful evaluation in a future trial (evidence based practice).
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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 | 0.021 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".