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Record W2007660006 · doi:10.5014/ajot.2011.001313

Randomized Controlled Pilot Study of an Occupational Time-Use Intervention for People With Serious Mental Illness

2011· article· en· W2007660006 on OpenAlexaff
Megan Edgelow, Terry Krupa

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsAssertive community treatmentRandomized controlled trialIntervention (counseling)Occupational therapyMental illnessMedicineBalance (ability)Physical therapyPsychiatryMental healthPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: We assessed the efficacy and clinical utility of a new occupational time-use intervention, Action Over Inertia, designed to improve occupational balance and engagement among community-dwelling people with serious mental illness. METHOD: Using a randomized controlled design, we assigned 24 participants to an intervention group or standard care group. Participants were community-dwelling people with serious mental illness receiving assertive community treatment services. Data on time use, occupational balance, and engagement were collected and compared at baseline and 12-wk posttest. RESULTS: Eighteen participants completed the pilot study. Treatment group participants increased their occupational balance by spending an average of 47 min more per day in activity than the control group (p = .05). Differences in occupational engagement were not shown, but evidence of clinical utility was found. CONCLUSION: This pilot study of Action Over Inertia has shown evidence of efficacy and clinical utility.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.152
GPT teacher head0.472
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations127
Published2011
Admission routes1
Has abstractyes

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