Family Support Protocol for Adolescent Internalizing Disorders: Protocol for a Pre-Post Quantitative Treatment Development Study
Bibliographic record
Abstract
BACKGROUND: Internalizing disorders (IDs), primarily depression and anxiety, are highly prevalent among adolescents receiving community-based treatment for substance use disorders (SUDs). For such clients, interventions that do not holistically address both SUDs and IDs are less effective. OBJECTIVE: This pilot treatment development study aims to develop and test a modular treatment protocol for addressing cooccurring IDs among adolescents (aged 13 to 18 years) enrolled in routine care for substance use problems: Family Support Protocol for Adolescent Internalizing Disorders (Fam-AID). As an adjunctive protocol, Fam-AID will not require clinicians to markedly alter existing base practices for SUD. It will be anchored by 3 evidence-based foundations for treating cooccurring adolescent IDs: family engagement techniques, transdiagnostic individual cognitive behavioral therapy techniques, and family psychoeducation and safety planning. METHODS: This quasi-experimental study will proceed in 2 stages. The pilot stage will use rapid-cycle prototyping methods in collaboration with end-user stakeholders to draft protocol delivery and fidelity guidelines adapted from existing resources, solicit provider and client input on protocol content and delivery via cognitive interviewing, and pilot prototype components on 4 to 6 cases. The second stage will be an interrupted time series study for 60 comorbid SUD+ID cases across 2 sites serving diverse adolescents: 30 will receive treatment as usual (TAU); following clinician training in the protocol, 30 new cases will receive TAU enhanced by Fam-AID. For aim 1, the focus is on evaluating the acceptability of the Fam-AID protocol through therapist and client interviews as well as assessing fidelity benchmarks using therapist- and observer-reported protocol fidelity data. For aim 2, the plan is to compare the effects of TAU only cases versus TAU+Fam-AID cases on family treatment attendance and on adolescent ID and substance use symptoms, with measurements taken at baseline and at 3-month and 6-month follow-ups. RESULTS: Study recruitment will begin in April 2025. CONCLUSIONS: We anticipate that Fam-AID will contain 5 treatment modules that can be delivered in any sequence to meet client needs: family engagement of primary supports in treatment planning and services; relational reframing of family constraints, resiliencies, and social capital connected to the adolescent's ID symptoms; functional analysis of the adolescent's ID symptoms and related behaviors; cognitive behavioral therapy to address the adolescent's ID symptoms and functional needs, featuring 3 core techniques (emotion acceptance, emotional exposure, and behavioral activation) to address negative affect and emotional dysregulation; and family psychoeducation and safety planning focused on education about comorbid SUD+ID and prevention of adolescent self-harm. If the abovementioned modules are found to be feasible and effective, Fam-AID will offer a set of pragmatic interventions to SUD clinicians for treating cooccurring IDs in adolescent clients. TRIAL REGISTRATION: ClinicalTrials.gov NCT06413979; https://www.clinicaltrials.gov/study/NCT06413979. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/64332.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.074 | 0.085 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.214 | 0.041 |
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".