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Record W2896199268 · doi:10.1111/eip.12753

Youth‐focused group mindfulness‐based intervention in individuals with early psychosis: A randomized pilot feasibility study

2018· article· en· W2896199268 on OpenAlexafffund
Arlene G. MacDougall, Elizabeth Price, Matthew R.J. Vandermeer, Chantelle Lloyd, Richelle Bird, Rickinder Sethi, Aturan Shanmugalingam, Jason Carr, Kelly K. Anderson, Ross Norman

Bibliographic record

VenueEarly Intervention in Psychiatry · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsLondon Health Sciences CentreLawson Health Research InstituteWestern University
FundersAcademic Medical Organization of Southwestern OntarioLawson Health Research Institute
KeywordsMindfulnessRandomized controlled trialAttendanceIntervention (counseling)PsychosisClinical psychologyPsychologyConfidence intervalPhysical therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

AIM: To assess the feasibility of a randomized pilot trial that evaluated the acceptability and potential clinical utility of the Mindfulness Ambassador Program (MAP), a unique, standardized 12-session facilitated group mindfulness-based intervention (MBI) for youth experiencing early psychosis. METHODS: Twenty-one patients of an early psychosis intervention program were randomized to receive MAP (n = 11) or treatment as usual (n = 10). Acceptability was measured by group attendance rate and client satisfaction; feasibility of the study design was measured by the recruitment and retention rate. The means, standard deviations, and 95% confidence intervals were described for outcomes of interest. RESULTS: MAP is associated with a high degree of acceptability and has beneficial effects for depression and fatigue. The randomized trial design is feasible. CONCLUSIONS: This study provides important pilot data supporting a larger randomized trial of effectiveness for MAP as a group MBI for early psychosis. Details of MAP and study limitations are discussed.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.034
GPT teacher head0.336
Teacher spread0.302 · 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

Citations24
Published2018
Admission routes2
Has abstractyes

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