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Record W4296417917 · doi:10.2196/41697

A Video-Delivered Family Therapeutic Intervention for Perinatal Women With Clinically Significant Depressive Symptoms and Family Conflict: Indicators of Feasibility and Acceptability

2022· article· en· W4296417917 on OpenAlexvenueno aff
Fallon Cluxton‐Keller, Mark T. Hegel

Bibliographic record

VenueJMIR Formative Research · 2022
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
FundersNational Institute of Mental HealthNational Institutes of Health
KeywordsIntervention (counseling)Psychological interventionFidelityRandomized controlled trialMedicineClinical psychologyClinical trialPsychologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Variation in family therapeutic intervention fidelity has an impact on outcomes. The use of video conferencing technology can strengthen therapist fidelity to family therapeutic interventions. OBJECTIVE: This article explores indicators of feasibility and acceptability for a video-delivered family therapeutic intervention for perinatal women with depressive symptoms and family conflict. The objectives of this article are to describe indicators of feasibility, including therapist fidelity to the intervention and technological factors that relate to implementation of the intervention, as well as indicators of acceptability for participants of the intervention. METHODS: The data included in this article are from an ongoing randomized trial of the Resilience Enhancement Skills Training (REST) video-delivered family therapeutic intervention. Participant recruitment and data collection are still underway for this clinical trial. Of the 106 participants who are currently enrolled in this study, 54 (51%) have been randomized to receive REST from May 2021 through July 2022. Currently, 2 therapists are delivering the intervention, and the training procedures for therapists are summarized herein. Therapist fidelity to the family therapeutic intervention was assessed in 67 audio recorded sessions. The training procedures were summarized for use of video conferencing technology by therapists and the 54 study participants. Knowledge of the video conferencing technology features was assessed in therapists and study participants by the number of attempts required to use the features. Participant responsiveness to the intervention was assessed by the percentage of attended sessions and percentage of complete homework assignments. RESULTS: To date, both therapists have demonstrated high fidelity to the family therapeutic intervention and used all video conferencing technology features on their first attempt. The current participants required 1 to 3 attempts to use 1 or more of the video conferencing technology features. About 59% (n=32) of the current participants immediately accessed the features on the first attempt. Our results show that perinatal women attended all sessions, and their family members attended 80% of the sessions. To date, participants have completed 80% of the homework assignments. CONCLUSIONS: These early findings describe indicators of the feasibility and acceptability of the video-delivered family therapeutic intervention for use with this high priority population. Upon completion of recruitment and data collection, a subsequent article will include a mixed methods process evaluation of the feasibility and acceptability of the video-delivered family therapeutic intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT04741776; https://clinicaltrials.gov/ct2/show/NCT04741776.

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)0.003
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.064
GPT teacher head0.419
Teacher spread0.355 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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