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Record W4292787064 · doi:10.1007/s41999-022-00692-8

Systematic review of measurement properties of the Canadian Occupational Performance Measure in geriatric rehabilitation

2022· review· en· W4292787064 on OpenAlexaboutno aff
Margot W. M. de Waal, Miriam L. Haaksma, Arno J. Doornebosch, Rimmie Meijs, Wilco P. Achterberg

Bibliographic record

VenueEuropean Geriatric Medicine · 2022
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeriatric rehabilitationRehabilitationConstruct validityMedicineReliability (semiconductor)Content validityCriterion validityConstruct (python library)External validityConcurrent validityValidityMEDLINEPhysical therapyClinical psychologyGerontologyPsychometricsPhysical medicine and rehabilitationPsychologyComputer scienceInternal consistencySocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: The Canadian Occupational Performance Measure (COPM) is used to inventory problems experienced by the patient to set goals and evaluate treatment. We aimed to make a systematic overview of measurement properties for people in geriatric rehabilitation. METHODS: Seven electronic databases were searched for psychometric studies investigating content validity, construct validity, responsiveness, or reliability of the COPM in geriatric rehabilitation populations aged ≥ 60 years. Two reviewers independently abstracted data and assessed methodological quality from included studies. RESULTS: Of 292 identified articles, 13 studies were included. The COPM showed good test-retest reliability (two studies), moderate inter-rater reliability (one study), and good content validity (one study with some risk of bias). Four studies with minimal risk of bias showed good construct validity as their hypotheses were confirmed. Responsiveness was moderate in three studies with adequate methodological quality. CONCLUSION: All measurement properties have been studied in geriatric rehabilitation populations, and indicate that the COPM gives relevant information for geriatric rehabilitation, and scores can be assessed reliably and are responsive to change. Although there were many studies on construct validity, authors had different opinions on what exactly COPM-scores tell us, as they used a variety of comparator instruments and different hypotheses. Consensus on exact interpretation of the scores is needed.

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)0.026
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.252
GPT teacher head0.424
Teacher spread0.172 · 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 designSystematic review
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

Citations16
Published2022
Admission routes1
Has abstractyes

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