MétaCan
Menu
Back to cohort
Record W2906066063 · doi:10.1037/prj0000331

Getting better my way: Feasibility study of a self-management support tool for people with mood and anxiety disorders.

2018· article· en· W2906066063 on OpenAlexaffabout
Janie Houle, Stéphanie Radziszewski, Préscilla Labelle, Simon Coulombe, Matthew Menear, Pasquale Roberge, Catherine Hudon, Marie‐Thérèse Lussier, Claire Gamache, Annie Beaudin, Brigitte Lavoie, Martin D. Provencher, Guylaine Cloutier

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsQuebec Rehabilitation Research NetworkCentre Integre de Sante et de Services Sociaux de LavalUniversité LavalUniversité de MontréalUniversité du Québec à MontréalUniversité de SherbrookeWilfrid Laurier University
Fundersnot available
KeywordsPsycINFOAnxietyMoodClinical psychologyPsychologyAttractivenessMEDLINEPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: ) in four care settings in Quebec, Canada. METHOD: Care providers offered the tool to people with difficulties related to mood or anxiety disorders during a 7-month period. A sample of 71 participants filled out an online survey and 27 accepted to participate in a follow-up interview. Focus groups were conducted with 82 care providers. RESULTS: Satisfaction ratings were high for the tool overall, the likelihood of recommending it to friends, its attractiveness and interest, and its completion time. Perceived usefulness was high overall and was not related to most demographic and clinical variables. No adverse effects were reported. CONCLUSION AND IMPLICATIONS FOR PRACTICE: is a comprehensive recovery-oriented tool, considered useful, acceptable and feasible to use in a variety of settings offering services for mood and anxiety disorders. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.371
Teacher spread0.337 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same venuePsychiatric Rehabilitation JournalSame topicMental Health and Patient InvolvementFrench-language works237,207