MétaCan
Menu
Back to cohort
Record W2135724140 · doi:10.2182/cjot.2012.79.3.6

Comparing the Responsiveness of the Assessment of Motor and Process Skills and the Functional Independence Measure

2012· article· en· W2135724140 on OpenAlexaffvenue
Andrea M. Fioravanti, Candace M. Bordignon, Susan M. Pettit, Linda J. Woodhouse, Barbara Ansley

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFunctional Independence MeasureRehabilitationCognitionOccupational therapyPsychologyScale (ratio)Physical medicine and rehabilitationCognitive skillPhysical therapyMotor skillProcess (computing)Activities of daily livingMedicineDevelopmental psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Selecting and utilizing appropriate assessments to evaluate outcomes is an important aspect of evidence-based occupational therapy practice. The Functional Independence Measure (FIM), to which occupational therapists contribute motor and cognitive scores, is currently the only required assessment for evaluating change from admission to discharge on an inpatient rehabilitation unit. However, occupational therapists are also using the motor and process scales from the Assessment of Motor and Process Skills (AMPS) to assess clients and evaluate change. PURPOSE: To compare responsiveness of the AMPS and the FIM on an inpatient rehabilitation unit. METHODS: A retrospective chart review of AMPS measures and FIM scores at admission and discharge was undertaken. Standardized response means and effect sizes were calculated to estimate responsiveness. FINDINGS: No significant difference was found in the ability of the AMPS motor and FIM motor scales to detect change. The AMPS process scale was more responsive to change than the FIM cognitive scale. IMPLICATIONS: Using the AMPS as an assessment to evaluate outcomes allows practitioners to detect changes that may not be detected through the exclusive use of the FIM.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 integrity0.0000.001
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 head0.260
GPT teacher head0.496
Teacher spread0.237 · 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

Citations21
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicOccupational Therapy Practice and ResearchFrench-language works237,207