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Record W2047084782 · doi:10.1007/s12671-015-0402-y

Mindfulness and Metta-based Trauma Therapy (MMTT): Initial Development and Proof-of-Concept of an Internet Resource

2015· article· en· W2047084782 on OpenAlex
Paul Frewen, Nicholas M. Rogers, Les Flodrowski, Ruth A. Lanius

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMindfulness · 2015
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity HospitalWestern University
Fundersnot available
KeywordsMindfulnessPsychological interventionHelpfulnessAnxietyClinical psychologyPsychologyStressorPsychotherapistDissociative disordersMoodPsychiatryDissociative

Abstract

fetched live from OpenAlex

Trauma and stressor-related disorders, including post-traumatic stress disorder (PTSD) and related comorbid disorders such as anxiety, depression, and dissociative disorders, are difficult to treat. Mindfulness-based clinical interventions have proven efficacy for mental health treatment in face-to-face individual and group modalities, although the feasibility and efficacy of delivering these interventions via the internet has not been evaluated. The present research developed mindfulness and metta-based trauma therapy (MMTT) as an internet resource to support the practice of mindfulness and metta (lovingkindness) meditations for self-regulation and healing from trauma and stressor-related disorders. In the present “proof-of-concept” study, research participants ( n = 177) recruited online practiced mindfulness and metta meditations and related therapeutic exercises available via the website and rated their perceived credibility as interventions for improving self-regulation and well-being and reducing PTSD symptoms, anxiety, depressive, and dissociative experiences, as well as their experienced ease, helpfulness, and informational value. Results suggest that, independent of level of self-reported current and past psychiatric history and PTSD symptoms, participants considered the MMTT website as a credible and helpful therapeutic intervention for improving self-regulation and well-being and reducing PTSD, anxiety, depression, and dissociation. Overall, participants considered guided and non-guided meditation practices more helpful than a journaling exercise, and participants with increased PTSD symptoms preferred metta (lovingkindness) meditations less than other participants. We conclude that MMTT should be piloted in clinical trials as an adjunctive intervention to evidence-based treatments for persons with mood, anxiety, and trauma and stressor-related disorders, as well as more generally as an online resource to support self-regulation and well-being practices.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.082
GPT teacher head0.368
Teacher spread0.286 · 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