Strength-based Video-feedback to improve maternal sensitivity in mother-infant dyads with maternal depressive symptoms: Study protocol for a randomized controlled feasibility trial
Bibliographic record
Abstract
Introduction: Maternal sensitivity and mentalization are fundamental for children's mental health development. These skills have been negatively associated with maternal postpartum depressive symptomatology. Moreover, its prevalence increases in low socioeconomic and psychosocial risk contexts, where the access to treatment is scarce. Even though Attachment Based Interventios, such as Video-Feedback has been internationally recognized as an effective intervention. Its cost, as well as the need for language translation and cultural adaptation makes it difficult to implement in Latinamerican countries. Aim: The present study aims to assess the feasibility and acceptability of an online Video-Feedback intervention informed n mentalization aimed at mother-infant dyads with depressive symptomatology who attend Chilean public health centers. Method: This is a pilot randomized clinical trial with two groups of 60 mother-infant dyads between 4 and 12 months of age. Participants will be randomly assigned to control and experimental groups in a 1:1 ratio. Even though both groups will receive usual treatment, the experimental group will also receive the present video-intervention. At the end of the study, feasibility will be assessed based on focus groups aimed at interveners and quantitative outcomes such as recruitment rate, questionnaire completion rate and intervention completeness. Acceptability will be assessed from in-depth interviews with participants. In addition, effect sizes of primary and secondary outcomes will be calculated. Expected results: Results are expected to generate parameters to design a larger-scale clinical trial and to preliminary assess the effect of the reported mentalization-informed intervention on maternal sensitivity. Additionally, it seeks to contribute with a mental health intervention for low-income mother-infant dyads, which can be implemented remotely, at a low cost, and that would be suitable for implementation at a mental health care system policy. The protocol of this trial's design was registered at Clinical Trials (NCT04748731).
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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 | 0.034 | 0.026 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.012 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.058 | 0.011 |
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".