When They Call, Will They Come? A Contextually Responsive Approach for Engaging Multistressed Families in an Urban Child Mental Health Center
Bibliographic record
Abstract
Objective: This study examines the effect of an ecological and contextually responsive approach, during initial intake call, on engagement for multistressed families seeking child mental health services in an urban setting. Methods: Using a randomized design, parents were allocated to phone Intake As Usual (IAU) or Enhanced Engagement Phone Intake (EEPI). IAU consisted of a lengthy mandated standardized phone intake interview. EEPI, wrapped around the standard intake, was a flexible approach, attuning to the parent’s concerns, help-seeking experience, and stressors and incorporating problem-solving and motivational interviewing. Results: Controlling for child gender, child age, income, and marital status, parents in the EEPI condition were 3 times more likely to attend their initial face-to-face agency appointment and subsequent treatment services. Conclusions: This study contributes to building the evidence base for early engagement approaches responsive to families’ broader ecological context to ensure that vulnerable children and families access and receive benefits of treatment.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".