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Record W3119926766 · doi:10.1016/j.ocarto.2020.100132

Applying the International Classification of Functioning, Disability and Health to understand osteoarthritis management in urban and rural community-dwelling seniors

2021· article· en· W3119926766 on OpenAlexafffundabout
Shabana Amanda Ali, Karen Lee, Joy C. MacDermid

Bibliographic record

VenueOsteoarthritis and Cartilage Open · 2021
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsSt Joseph's Health CentreWestern University
FundersWestern University
KeywordsInternational Classification of Functioning, Disability and HealthBiopsychosocial modelFacilitatorQualitative researchContent analysisOsteoarthritisGerontologyPsychologyMedicinePhysical therapyAlternative medicineSociologySocial psychologyPathologyPsychiatryRehabilitation

Abstract

fetched live from OpenAlex

Objectives: The objectives of this study were to identify contextual factors as barriers or facilitators of osteoarthritis management in urban- and rural-dwelling seniors by applying the World Health Organization's International Classification of Functioning, Disability and Health (ICF). Design: Secondary analysis was performed on interview transcripts from urban- (n ​= ​11) and rural-dwelling (n ​= ​9) seniors living with osteoarthritis in Canada. Meaningful concepts were linked to ICF codes (Environmental Factors) according to established linking rules. Unclassified content (including Personal Factors) was subjected to qualitative content analysis. Results: A total of 481 and 410 meaningful concepts were identified in interview transcripts from urban and rural groups, respectively. For Environmental Factors, the majority of meaningful concepts linked to "Environmental Factors", then "Activities and Participation", and then "Body Functions" in the ICF. The most frequently linked codes were "e355 Health professionals", "e5801 Health systems", "e5800 Health services", and "e398 Support and relationships, other specified". The most salient barrier and facilitator to osteoarthritis management reflected in our results were "e5801 Health systems" and "e398 Support and relationships, other specified", respectively, for both urban and rural groups. For Personal Factors, qualitative content analysis of unclassified content revealed 3 key themes including (1) Coping Strategies; (2) Age of Osteoarthritis Diagnosis; and (3) Individual Circumstances. Conclusion: Beyond physical limitations, community-dwelling seniors with osteoarthritis encounter a wide range of biopsychosocial factors that can impact disease management. Applying the ICF, we identify "Environmental Factors" as a significant contextual factor impacting osteoarthritis management in both urban and rural communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.096
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.300
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2021
Admission routes3
Has abstractyes

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