Preventing Revictimization Through a Web-Based Intervention for Primary Caregivers of Youth in Care (EMPOWERYOU): Protocol for a Randomized Factorial Trial
Bibliographic record
Abstract
BACKGROUND: Children in foster care are at a higher risk for relationship problems than their counterparts raised by their biological family because of higher exposure to or prevalence of neglect or maltreatment early in life. Consequently, these children may also show more challenging behavior in their foster families, which in turn increases the parental stress experience of foster caregivers. Furthermore, the children may engage in a vicious cycle of risky relationship behaviors and expectations that put them at a greater risk for revictimization. OBJECTIVE: To support foster caregivers in reducing the risk for revictimization, several intervention modules delivered via the internet were developed using a consumer-based approach (phase 1 of the multiphase optimization strategy). This project (phase 2 of the multiphase optimization strategy) aimed to develop a sustainable intervention by selecting promising intervention components based on their contribution to the outcome. METHODS: factorial trial, a total of 317 foster caregivers with children aged 8 to 13 years are randomly assigned to 1 of 16 conditions. The primary outcome is the rate of revictimization from baseline to 3 months after intervention. Secondary outcomes include risk-taking and functional behaviors in relationships. All caregivers will receive access to all the intervention components after the follow-up assessment. The participants assigned to the condition with all component levels on are expected to show the best improvement in the primary and secondary outcomes. RESULTS: Recruitment and data collection for the factorial trial started in March 2022 and is ongoing. As of October 2022, we recruited 181 families. Although it is difficult to predict the exact study timeline owing to COVID-19 pandemic-related delays, results are expected in February 2024. CONCLUSIONS: There is a need for easily accessible information related to raising children in foster care who have experienced early life adversities to interrupt the cycle of violence and enhance the developmental pathway of health and emotional stability. It might be useful, in addition to generally useful parenting information (eg, parental self-care or emotion regulation management), to specifically focus on the needs of these caregivers (eg, how to support the child to reduce dysfunctional relationship behaviors that may have developed because of early adverse experiences). TRIAL REGISTRATION: ClinicalTrials.gov NCT05235659; https://clinicaltrials.gov/ct2/show/NCT05235659. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38183.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".