Evidence map›Paper›PMID 42529090›Full record

ArticleFrontiers in psychology2026

How participants engage with emotion-focused training for couple identity (EFT-CIDE), a 14-day self-guided mobile app intervention: a framework analysis.

Júlia Halamová

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Júlia HalamováInstitute of Applied Psychology, Faculty of Social and Economic Sciences, Comenius University in Bratislava, Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In emotion-focused therapy for couples (EFT-C), identity is one of three relational systems alongside attachment and attraction. Emotion-Focused Training for Couple Identity (EFT-CIDE) is the first self-guided mobile app intervention targeting the identity system. Its quantitative outcomes are reported in a parallel manuscript. Although qualitative engagement work exists for other digital couple interventions, none has examined participant engagement with identity system intervention content in a self-guided mobile app format. In addition, qualitative engagement studies of digital couple interventions typically rely on post-hoc interviews; analysis of reflective text participants produce within the app itself remains uncommon. Methods: We analysed reflective text written by 60 Slovak participants during the 14-day EFT-CIDE intervention (2,740 indexed segments). Coding combined deductive anchors from EFT-C and the respect literature with inductive codes admitted via a watchlist, using the Framework Method with a longitudinal layer. Cross-case patterns were paired with within-case trajectories across the 14-day window. Results: Five backbone codes had high reach across the dataset: active listening (90%), giving appreciation (88%), constructive expression (85%), repair as growth (75%), and healthy boundary setting (67%). Three asymmetric splits characterised most participants: healthy boundary setting dominated over both internal and external blocks (13:1:1), mutual cycle attribution dominated over self-blame (9:1), and repair as growth dominated over over-responsibility (8:1). Six longitudinal trajectory types organised the dataset; 32 of 60 participants reached an integrative day-14 closure ("change starts with me"). Conclusion: EFT-CIDE appears to work well for participants showing open engagement or distress followed by recovery, and may serve as a useful adjunct for those in sustained distress. A smaller group of participants did not engage substantively with the app format.

Indexed as

couple interventionemotion-focused therapy for couplesframework analysisidentity-system worklongitudinal qualitative researchrespectself-guided mobile-app intervention

Identifiers

PMID42529090
PMCPMC13416257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.