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Record W2110239396 · doi:10.5014/ajot.64.1.82

Documenting Progress: Hand Therapy Treatment Shift From Biomechanical to Occupational Adaptation

2010· article· en· W2110239396 on OpenAlexaboutno aff
Jada Jack, Rebecca I. Estes

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyMedicinePhysical therapyIntervention (counseling)Orthopedic surgeryPhysical medicine and rehabilitationAdaptation (eye)PsychologyNursingSurgery

Abstract

fetched live from OpenAlex

The investment of time and self to develop therapeutic relationships with clients appears incongruent with today's time-constrained health care system, yet bridging the gap of these incongruencies is the challenge therapists face to provide high-quality, client-centered, occupation-based treatment. This case report illustrates a shift in approach from biomechanical to occupational adaptation (OA) in an orthopedic outpatient clinic. The progress of a client with lupus-related arthritis who was 6 days postsurgery is documented. The intervention initially used a biomechanical frame of reference, but when little progress had been made at 10 weeks after surgery, a shift was made to the more client-centered OA approach. The Canadian Occupational Performance Measure was administered, and an OA approach was initiated. On reassessment, clinically important improvements were documented in all functional tasks addressed. An OA approach provides the bridge between the application of clinical expertise, client-centered, occupation-based therapy and the time constraints placed by payer sources.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.189
GPT teacher head0.510
Teacher spread0.321 · 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

Citations50
Published2010
Admission routes1
Has abstractyes

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