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Record W4399046683 · doi:10.1177/13591053241253895

Discordance between self-report and performance-based outcomes: Contribution of psychosocial factors

2024· article· en· W4399046683 on OpenAlexaff
Helen Razmjou, Susan Robarts, Suzanne Denis, Amy Wainwright, Patricia Dickson, John Murnaghan

Bibliographic record

VenueJournal of Health Psychology · 2024
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsPsychosocialOsteoarthritisAffect (linguistics)MedicineClinical psychologyPhysical therapyPsychologyPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the role of psychosocial factors in the discordance between perceived and observed physical disability in patients with osteoarthritis of the hip or knee joint. This was a cross-sectional study of patients seen for consideration of joint arthroplasty surgery. Patients completed a psychosocial outcome measure, a patient self-reported functional scale, and two performance-based tests. Data of 121 patients, mean age, 67 (8), 81 (67%) females were used for analysis. The fear avoidance and positive affect domains had the strongest association with the discordance between the self-report and both performance outcome measures. Age, gender, and severity of osteoarthritis were associated with discordance in relation to walking. Fear avoidance beliefs and positive affect play important roles in perception of pain and function. Age, gender, and severity of arthritis should be taken into consideration for a more holistic approach to arthritis care.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.048
GPT teacher head0.428
Teacher spread0.380 · 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.

Study designObservational
DomainMethods
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
Published2024
Admission routes1
Has abstractyes

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