ArticleInternational journal of mental health nursing2022
Stakeholder views on mindfulness for youth at risk for psychosis.
Article in International journal of mental health nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- PRODUCES+: Guidance for co-creation in public health informed by evidence and user experience.Public health in practice (Oxford, England) · 2026Article
- Participatory research with co-researchers with lived experience of psychosis high risk states.Frontiers in psychiatry · 2025Article
- Self-Transcendence as a Risk and Resilience Factor in Individuals at Clinical High Risk for Psychosis.Early intervention in psychiatry · 2025Article
- Exploring the subjective experience of researchers and co-researchers with lived experience of psychosis high risk states: a qualitative analysis within a participatory research process.BMC psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interventions incorporating mindfulness for youth identified to be at risk for psychosis show promise for symptom management yet to be addressed by other approaches. Important questions remain as to how to safely and effectively implement these interventions with this cohort. The aim of this research was to collaboratively identify with stakeholders of such interventions, namely youth at risk for psychosis, and practitioners with experience working with youth at risk for psychosis - attitudes towards mindfulness and potential intervention adaptations to ensure the safety, uptake, and effectiveness of mindfulness interventions used with youth at risk for psychosis. Consolidated criteria for reporting qualitative studies were adopted. Eight practitioners and six at risk for psychosis individuals were interviewed. Both groups identified significant potential benefits of mindfulness, for stress and relaxation, managing difficult thoughts and emotions, increasing positive emotions, improving functioning, and patient empowerment within treatment participation. Stakeholders identified the helpfulness of including compassion-based practices, emphasizing experiential and concrete material, shorter and guided exercises, the targeting of anxiety and attenuated psychotic symptomology, and making the goals or intent of practice youth relevant. Significant barriers were identified - poor functioning and low motivation, high self-criticism, concurrent medication and substance use, and perceptions of mindfulness that may impact uptake (e.g. it requires relaxation to work). Formulation of and research into comprehensive clinical guidelines will help ensure the safe and effective use of future mindfulness and compassion-based practices with at risk for psychosis individuals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.