Screening and addressing social needs of children and families enrolled in a pediatric weight management program: a protocol for a pilot randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: There is a paucity of evidence to support interventions that address the social needs of children and families with chronic medical conditions. The primary objective of this pilot randomized controlled trial (RCT) is to assess the feasibility of an intervention that screens for and addresses the social needs of children and families enrolled in a pediatric weight management clinic. METHOD: We will conduct a single-center, pilot RCT of 40 families with children enrolled in a pediatric weight management program at a tertiary children's hospital in Ontario, Canada. Families who are experiencing unmet social needs will be randomized to either a community navigator or self-navigation of community resources. The primary feasibility outcomes and criteria for success include the following: (1) recruitment rates, will be successful if 80% of our target sample is met in the 6 months of recruitment; (2) uptake of intervention, will be considered successful if > 80% of families complete the intervention; and (3) follow-up of participants, will be considered successful if > 90% of participants complete all the study visits. The secondary outcomes include estimating the preliminary effects on body mass index, body composition, and quality of life at 6 months. The analysis of feasibility outcomes will be based on descriptive statistics, and analysis of secondary clinical outcomes will be reported as estimates of effect. We will not perform tests of significance since these analyses are purely exploratory. DISCUSSION: This study is important because it will aim to improve the treatment of pediatric obesity by testing the feasibility of an intervention that addresses unmet social needs. TRIAL REGISTRATION: ClinicalTrias.gov : NCT04711707 (Registered January 13, 2021).
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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) | 0.002 | 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".