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Record W7117711682 · doi:10.2196/75132

Integrating a Brief Behavioral Intervention Into Case Management for Mothers With Perinatal Substance Use Disorder: Nonrandomized Pilot Feasibility Study

2025· article· en· W7117711682 on OpenAlexvenueno aff
Amritha Bhat, Mary Curran, Mary Jane Lohr, Haley Smith, Brittany Blanchard, Susan A. Stoner, Therese M. Grant, Nancy K. Grote

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
FundersWashington State University
KeywordsCase managementPsychological interventionIntervention (counseling)Mental healthRandomized controlled trialContingency managementSubstance usePerinatal periodPilot trial

Abstract

fetched live from OpenAlex

Background: Perinatal substance use disorders (SUD) are frequently comorbid with depression, anxiety, and posttraumatic stress disorder (PTSD), contributing to adverse maternal and child outcomes. Access to integrated mental health support within existing SUD service frameworks is limited, particularly for pregnant and parenting individuals facing socioeconomic and psychosocial instability. Promoting Healthy Families (PHF) is a brief behavioral intervention designed for delivery by case managers serving high-risk perinatal populations with substance use within programs such as Parent Child Assistance Program (PCAP). Objective: This study aimed to evaluate the feasibility of integrating PHF into intensive case management for pregnant and postpartum clients with at-risk perinatal substance use, and to assess preliminary outcomes of measures of maternal depression, anxiety, and PTSD symptoms. Methods: In this nonrandomized pilot study (April 2018-September 2021), eligible clients were allocated to either PCAP alone (control) or to PHF delivered within PCAP (intervention). Case managers completed an anonymous feasibility survey addressing ease of delivery and fit with their workflow. Participating clients completed the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 Scale, and PTSD (posttraumatic stress disorder) Checklist (PCL-6) at baseline and at 4, 6, and 12 months. Data collection overlapped with the COVID-19 pandemic, which affected service access and delivery. Results: CMs and 1 program supervisor (n=10) reported that PHF was feasible to deliver within PCAP, and respondents indicated clients benefited somewhat (70%) or a lot (30%). Most (70%) noted an increase in workload and recommended additional supervision and training. The pilot study enrolled 58 clients (29 PHF+PCAP and 29 PCAP), with 60% (35/58) completing all follow-up assessments. While differences between groups over time were not statistically significant, changes were in the predicted direction for PHQ-9 and PCL-6 scores. Symptom improvement rates were high: In the PHF+PCAP group, 85% (25/29) showed ≥5-point decreases in PHQ-9 scores, 68% (20/29) had ≥6-point decreases in Generalized Anxiety Disorder-7 Scale scores, and 93% (27/29) had ≥5-point decreases in PCL-6 scores. Conclusions: PHF can be feasibly delivered within an existing intensive case management program for perinatal SUD, with early signals of mental health improvement across both intervention and control groups. Future adequately powered randomized controlled trials should investigate the effectiveness of brief behavioral interventions within perinatal SUD case management programs, optimal delivery timing, and the potential to enhance mental health care integration for high-risk perinatal populations.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.058
GPT teacher head0.429
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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