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Record W4366351764 · doi:10.1177/00084174231168018

Functional Ability, Psychological Factors, and Rehabilitation Outcomes After Elective Total Hip Replacement

2023· article· en· W4366351764 on OpenAlexvenueno aff
Orit Segev‐Jacubovski

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationGeriatric rehabilitationPhysical therapyAffect (linguistics)Prospective cohort studyAcute careMedicineActivities of daily livingPhysical medicine and rehabilitationCohort studyCohortDepression (economics)PsychologyHealth careSurgery

Abstract

fetched live from OpenAlex

Background. The role of positive psychological factors in acute rehabilitation after total hip replacement (THR) is unclear. Purpose. (a) Examine the trajectory of functional ability among older adults after THR from presurgery to discharge from acute rehabilitation and (b) determine which physical and psychological factors at admission would predict functional ability at discharge and length of stay in rehabilitation. Methods. This prospective cohort study included 30 participants (age M = 76.20 years) from an inpatient geriatric rehabilitation center. They completed the Geriatric Depression Scale and Positive Affect questionnaire. The FIM® Motor domain of Functional Independent Measure (mFIM) was recorded presurgery, at admission, and upon discharge. Findings. Functional ability improved at discharge; however, the presurgery functional ability was not regained. Positive affect explained the length of stay in rehabilitation above and beyond the presurgery mFIM. Implications. Occupational therapists should improve ways to enhance self-care and positive affect in acute rehabilitation.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.364
Teacher spread0.288 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Occupational TherapySame topicTotal Knee Arthroplasty OutcomesFrench-language works237,207