ArticleArchives of public health = Archives belges de sante publique2025
Systemic therapy informed self-help and paraprofessional training in a naturalistic setting: study protocol of a digital randomised trial.
Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06017414 (Systemic Psychotherapy-informed Self-help and Paraprofessional Training in a Naturalistic Setting), which is not on this map. Cited by 1 paper.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Systemic Psychotherapy-informed Self-help and Paraprofessional Training in a Naturalistic Setting
Who cites it
1 citing paper in PubMed.
- Disclosure is not documentation: an open science framework for documenting generative AI use in scholarly research and publication workflows.Research integrity and peer review · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple studies have shown the efficacy of Systemic Psychotherapy (ST) approaches as a promising path to address various mental health disorders and alleviate psychological distress. One promising path that requires further investigation is online self-help interventions and paraprofessional training. Our study aims to evaluate the implementation of delivering ST-informed online self-help interventions (OSI) and paraprofessional training in a naturalistic setting via the 7 Cups platform.
methodsOur exploratory, randomised, controlled, pre-post-follow-up study is recruiting two samples of participants: (i) for the ST-informed online self-help/growth path intervention amongst members on the 7 Cups platform, (ii) for the ST-informed online paraprofessional/listener training intervention amongst members who have registered as 'listener' status. The sample size target is N = 200 participants, randomly assigning and comparing 50 OSI member participants to 50 waitlist member participants and 50 paraprofessional/listener training listeners to 50 waitlist listener participants. Our sample size justification, based on previous feasibility studies and guidelines, suggests that a sample size of 50 per group, accounting for a 25% attrition rate, is sufficient to assess feasibility in online family, e-health, and mental health trials, while maintaining narrow margins of error for confidence intervals and primary outcome parameters. The primary outcome is non-specific psychological distress (Kessler Psychological Distress Scale; K6); secondary outcomes include perceived stress, anxiety and depressive symptoms, and momentary mood. To estimate intervention effects, we intend to conduct generalised linear mixed models of primary, and secondary parameters, adjusted for potential covariates (e.g., gender, age categories, socioeconomic status) as fixed effects. DISCUSSION: Despite the great need for mental health interventions, there is limited research available showing the efficacy of digitally delivered ST-informed interventions. This exploratory, randomized, controlled trial will yield robust insights into the feasibility, challenges, and user experience of novel, digital interventions on a widely accessible online platform (7 Cups).
trial registrationClinicalTrials.gov (NCT06017414, updated 21.11.2023). Registered 29 August 2023, https://clinicaltrials.gov/study/NCT06017414 .
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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.