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Record W4289981784 · doi:10.1186/s40814-022-01115-y

Love Together, Parent Together (L2P2): a protocol for a feasibility study of a conflict reappraisal writing intervention for interparental couples with young children

2022· article· en· W4289981784 on OpenAlexafffund
Heather Prime, Amy Muise, Veronica Benyamin, Lehana Thabane, Mark Wade

Bibliographic record

VenuePilot and Feasibility Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicMental Health via Writing
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactUniversity of TorontoMcMaster UniversityYork University
FundersYork University
KeywordsPsychologyIntervention (counseling)Context (archaeology)Randomized controlled trialDistressTest (biology)PopulationRelationship educationDevelopmental psychologyClinical psychologySocial psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The COVID-19 pandemic has introduced or amplified stress and challenge within couples' relationships. Among those who are particularly vulnerable to heightened conflict and lower relationship satisfaction during this time are interparental couples with young children, whose relationships may have already been tenuous prior to the pandemic. Stress within the interparental relationship may have ripple effects on all family subsystems and child adjustment. The Love Together Parent Together (L2P2) program is a brief, low-intensity writing intervention adapted for parents of young children that was designed to reduce conflict-related distress and prevent declines in relationship satisfaction. Based on an original writing intervention by Finkel and colleagues, L2P2 has adapted the intervention duration and study population to be appropriate to the current global context. This study will examine the key feasibility metrics related to this adapted program with the goal of identifying problems and informing parameters of future pilot and/or main RCTs. METHODS: The current study is a non-randomized feasibility study, using a single-arm, pre-test/post-test design to primarily assess the feasibility of an evaluative RCT, and to secondarily assess the potential effects on outcomes to be used in a future RCT. Couples will be recruited through three community-based agencies with the goal of obtaining a socio-demographically diverse sample. The first 20 couples to enroll will be included. Baseline and post-intervention surveys will be conducted, and a writing intervention will take place (three 7-min sessions over the course of 5 weeks). The primary outcomes will be feasibility metrics of recruitment rates, appropriateness of eligibility criteria, sample diversity, retention, uptake, adherence, and acceptability. In addition, we will develop an objective measure of couple "we-ness" based on an analysis of writing samples. The secondary outcomes will include couples' measures (i.e., relationship quality, perceived partner responsiveness, self-reported responsiveness, conflict-related distress), and additional family outcomes (i.e., parent-child relations, parental/child mental health). Criteria for success are outlined, and failure to meet the criteria will result in adaptations to the measurement schedule, intervention design, recruitment approach, and/or other elements of the program. DISCUSSION: This feasibility study will inform several components of the procedures used for a subsequent pilot RCT, in which we will examine the feasibility of the methodology used to evaluate the program (e.g., randomization, attrition to follow-up assessment/across groups, and sample size estimation, preliminary effectiveness), as well as the main RCT, which will investigate the effectiveness of the intervention on primary outcome measures and mediating pathways. TRIAL REGISTRATION: ClinicalTrials.gov , NCT05143437.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.310
GPT teacher head0.507
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designObservational
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

Citations3
Published2022
Admission routes2
Has abstractyes

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