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Record W2107183351 · doi:10.1080/16501960410015344

Comments from who for the journal of rehabilitation medicine special supplement on ICF core sets

2004· article· en· W2107183351 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCore (optical fiber)RehabilitationPhysical medicine and rehabilitationPhysical therapyMedicineInternational Classification of Functioning, Disability and HealthPsychologyComputer science

Abstract

fetched live from OpenAlex

   Health indicators have traditionally focused on deaths anddiseases. While mortality data or diagnostic data on morbidityare important in their own right, they do not adequately capturehealth outcomes of individuals or populations. Diagnosis alonedoes not explain what patients can do, what they need, what theirprognosis will be and what the cost of treatment will be. To dealwith such questions, the International Classification of Function-ing, Disability and Health (ICF) (1) was developed to provide acommon framework for health outcome measurement. The ICFenables us to capture information about the functioning ofindividuals. What happens when people get ill? What they canand cannot do due to their health condition? What difference dothe treatments make? To answer such questions in a clinicallyrelevant manner and to compare across individuals, treatmentsor over time we need common definitions, anchor points and aconsensus on the conceptual framework.The concept of measuring functioning, disability or health isnot new. There are hundreds of assessment tools. Mostlyclinicians in different specialities have developed condition-specific assessment tools (e.g. Arthritis Impact MeasurementScale, AIMS 2; Hamilton Rating Scale of Depression, HAMD;McGill Pain Assessment Questionnaire, MPQ; OutcomeMeasures in Rheumatology Clinical Trials, OMERACT). Thereare also some generic measures (SF-36, Nottingham HealthProfile, EuroQol-5D). These measures have proven useful totrack outcomes, but they are neither comprehensive nor do theyfully map to the ICF. The result, well-known and muchcriticized, is “data silos” in which assessment data acquired inone episode of care – emergency, medical, rehabilitative, out-patient, and community clinical care – cannot be carried over toanother episode of care involving a different clinical focus. Tocompare outcome data across diseases and interventions weneed a common framework that will serve as a “Rosetta Stone”.The ICF makes it possible to link together these data acrossconditions or interventions, eliminating the frustrating data siloeffect, and making for more efficient, transparent, and cost-effective healthcare.A classification needs to be exhaustive by its very nature andbecomes very complex for daily use unless it is transformed intopractice-friendly tools. For example, a clinician cannot easilytake the main volume of ICF and consistently apply it to his orher patients. In daily practice, clinicians will need only a fractionof the categories found in the ICF. As a general rule, 20% of thecodes will explain 80% of the variance observed in practice.With this need in mind, WHO has already created a series ofinstruments based on the ICF, like the ICF Checklist and theWHO Disability Assessment Schedule II (WHO DAS II) (2).The ICF Checklist is a practical translation of the ICF forclinical practice (3). Items from the classification were chosenby experts to list the most commonly used domains, and laterfield tested to verify the selection and make additions of missingitems. The ICF Checklist gives a thumbnail sketch of the mainfunctioning of any individual in terms of body functions andstructures, activities and participation, and environmentalfactors. On the other hand, the WHO DAS II is an assessmentinstrument that gives a total score of disability based on theactivities and participation domains of the ICF. Both instrumentswere explicitly designed to be generic assessment tools usable ina wide range of applications aiming for data comparabilityacross conditions and interventions. This feature constitutes theprimary strength and virtue of these two instruments.However, the generic character of the ICF Checklist and theWHO DAS II may be a drawback in specialty settings. Forexample, a clinician dealing with patients with arthritis will needa wider range of categories to identify functions in theneuromusculoskeletal and movement-related area. A speechand language therapist, on the other hand, will require detaileddescription of voice and speech functions and related structures.This is the dilemma: on the one hand we need a “common base”to compare with other health conditions and interventions; onthe other hand we need “variability” to capture the detail todescribe the profile of a unique group. For such specializedclinical settings, “one (generic) size does not fit all” and the“devil is in the detail”.This obvious clinical requirement has been the primarymotivation for WHO in collaboration with the Department ofPhysical Medicine and Rehabilitation and the newly establishedICF Research Branch of the WHO FIC CC (DIMDI), IMBK atthe Ludwig Maximilian University Munich to develop ICF CoreSets (4). The ICF Core Sets have “common” categories that willhelp to address the comparability issue. These commoncategories are comparable to the generic ICF Checklist. TheICF Core Sets have “additional items” that give a more detailedpicture for 12 chosen clinical conditions. The papers presentedin this volume describe in detail the rigorous scientific processby which these 12 condition specific ICF Core Sets havebeen developed. Interestingly, the papers show not only the

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.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.348
Teacher spread0.325 · 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