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Record W2940956024 · doi:10.1177/0008417419831438

Occupational therapy and posttraumatic stress disorder: A scoping review

2019· review· en· W2940956024 on OpenAlexvenueno aff
Megan Edgelow, Megan MacPherson, Faye Arnaly, Linna Tam‐Seto, Heidi Cramm

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2019
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyOccupational stressPsychological interventionClinical psychologyMultidisciplinary approachExposure therapyInclusion (mineral)PsychologyPosttraumatic stressMedicinePsychotherapistPsychiatryAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND.: People who are diagnosed with posttraumatic stress disorder (PTSD) can experience disruptions in their daily occupations. Occupational therapists may assist clients with PTSD to reengage in meaningful occupations. PURPOSE.: This scoping review aims to identify and describe the ways occupational therapy addresses PTSD in clinical practice. METHOD.: Scholarly databases were searched for documents relating to occupational therapy and PTSD. Two reviewers independently applied selection criteria and systematically extracted information. Data were extracted and synthesized in a narrative format. FINDINGS.: Fifty sources met inclusion criteria and three major themes were identified: recognizing trauma within specific populations, PTSD's impact on a range of occupations, and occupational therapy's response to PTSD. IMPLICATIONS.: Occupational therapists are working in multidisciplinary teams to reduce the impact of PTSD on the daily occupations of their clients. More effectiveness studies are required to understand the outcomes of occupational therapy interventions for clients with PTSD.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.600
GPT teacher head0.593
Teacher spread0.008 · 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 designOther design
Domainnot available
GenreReview

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

Citations36
Published2019
Admission routes1
Has abstractyes

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