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Record W3013894032 · doi:10.1177/1758998320912761

Psychometric properties of the Assessment of Motor and Process Skills in patients undergoing rehabilitation following hand-related disorders

2020· article· en· W3013894032 on OpenAlexaboutno aff
Thea Birch Ransby, Alice Ørts Hansen, Nanna Rolving

Bibliographic record

VenueHand Therapy · 2020
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationPhysical medicine and rehabilitationPhysical therapyMotor skillPsychiatry

Abstract

fetched live from OpenAlex

Introduction Assessment of Motor and Process Skills (AMPS) has been proven to be a suitable measurement tool for assessing performance-based ADL ability; however, its reliability and validity have not been tested on patients with hand-related disorders. Methods Patients referred for outpatient hand rehabilitation were assessed with AMPS, The Canadian Occupational Performance Measure (COPM), dynamometer and goniometer at baseline and after eight weeks of hand therapy. Construct validity and responsiveness of AMPS were assessed by hypothesis testing. Construct validity was assessed by correlating the baseline score of AMPS with the baseline score of the other measurement tools. Responsiveness was assessed by correlating the change scores of each measurement tool with a Global Rating Scale. Results Fifty-one patients were recruited. The construct validity of AMPS indicated that the various measurement tools captured different aspects to functioning from the AMPS, as the correlations between AMPS and the other measurement tools were generally weak to low (r < 0.25 to 0.49). AMPS was less responsive than COPM when correlated with the GRS. The correlation between COPM and GRS was r = 0.62 compared with the AMPS motor, r = 0.45 and AMPS process, r = 0.33. Relative responsiveness of AMPS is similar to that of the dynamometer (r = 0.39) and goniometer (r = –0.34). Discussion In a sample of 51 patients, this study found that the construct validity of AMPS seemed to be moderate, while the responsiveness of AMPS seemed to be poor. However, due to the small sample size no conclusions can be made, and should be further assessed in larger studies.

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)0.000
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 score0.042
Threshold uncertainty score0.186

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.270
Teacher spread0.262 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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