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Record W4399402964 · doi:10.2196/53744

Web-Based Intervention (SunnysideFlex) to Promote Resilience to Posttraumatic Stress Disorder Symptoms During Pregnancy: Development and Pilot Study

2024· article· en· W4399402964 on OpenAlexvenueno aff
Katherine C. Paltell, Jennifer Duffecy, Pauline M. Maki, Shiva Edalatian Zakeri, Anka A. Vujanovic, Erin C. Berenz

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsPosttraumatic stressResilience (materials science)Intervention (counseling)PregnancyPsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Approximately 4% to 8% of pregnant individuals meet the criteria for current posttraumatic stress disorder (PTSD), a known risk factor for a multitude of adverse maternal and child health outcomes. However, PTSD is rarely detected or treated in obstetric settings. Moreover, available prenatal PTSD treatments require in-person services that are often inaccessible due to barriers to care. Thus, web-based interventions offer great potential in extending PTSD treatment to high-risk pregnant individuals by providing affordable, accessible care. However, there are currently no web-based interventions designed specifically for the treatment of PTSD symptoms during pregnancy. OBJECTIVE: This study aims to develop and pilot a 6-week, web-based, cognitive behavioral therapy intervention for PTSD, SunnysideFlex, in a sample of 10 pregnant women with current probable PTSD. Consistent with established guidelines for developing and testing novel interventions, the focus of this pilot study was to evaluate the initial feasibility and acceptability of the SunnysideFlex intervention and preintervention to postintervention changes in PTSD and depression symptoms. This approach will allow for early refinement and optimization of the SunnysideFlex intervention to increase the odds of success in a larger-scale clinical trial. METHODS: The SunnysideFlex intervention adapted an existing web-based platform for postpartum depression, Sunnyside for Moms, to include revised, trauma-focused content. A total of 10 pregnant women in weeks 16 to 28 of their pregnancy who reported lifetime interpersonal trauma exposure (ie, sexual or physical assault) and with current probable PTSD (scores ≥33 per the PTSD checklist for DSM-5) were enrolled in the SunnysideFlex intervention. Assessments took place at baseline and 6 weeks (postintervention). RESULTS: All participants were retained through the postintervention assessment period. Engagement was high; participants on average accessed 90% of their lessons, logged on to the platform at least weekly, and reported a generally positive user experience. Moreover, 80% (8/10) of participants demonstrated clinically meaningful reductions in PTSD symptoms from baseline to postintervention, and 50% (5/10) of participants no longer screened positive for probable PTSD at postintervention. Most (6/10, 60%) of the participants maintained subclinical depression symptoms from baseline to postintervention. CONCLUSIONS: Findings from this small pilot study indicate that SunnysideFlex may be a feasible and acceptable mechanism for delivering PTSD intervention to high-risk, trauma-exposed pregnant women who might otherwise not have opportunities for services. Larger-scale trials of the intervention are necessary to better understand the impact of SunnysideFlex on PTSD symptoms during pregnancy and the postpartum period.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.055
GPT teacher head0.419
Teacher spread0.364 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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