Perceptions of, and willingness to consider, total joint arthroplasty in a population‐based cohort of individuals with disabling hip and knee arthritis
Bibliographic record
Abstract
OBJECTIVE: To examine perceptions of total joint arthroplasty (TJA) and how they relate to willingness to consider TJA. METHODS: A population-based survey in Oxford County, Ontario, Canada identified 1,735 subjects > or =55 years with disabling hip or knee arthritis; 435 English-speaking respondents with no prior TJA and not on a TJA waiting list were invited to participate, and 379 (37.1%) agreed. We assessed demographics; comorbidity; evaluated and perceived arthritis severity; perceived risks, benefits, indications for, and knowledge of TJA; preferred decision-making style; self efficacy; and willingness to consider TJA by questionnaire. RESULTS: Participants' mean age was 67.6 years; 33.5% were willing (definitely or probably) to consider TJA as a treatment option. Willingness was independently associated with younger age (odds ratio [OR] <75 versus > or =75 years 2.42, P = 0.01); worse perceived arthritis severity (OR per unit increase 1.30, P < 0.001); perceiving TJA as appropriate for moderate, controlled joint pain (OR 3.29, P = 0.004); walking limited to <1 block (OR 1.99, P = 0.015); the risk of revision as acceptable (OR 3.73, P < 0.001); and friends as an important health information source (OR 2.49, P = 0.01). CONCLUSIONS: Participants overestimated the pain and disability needed to warrant TJA. These misperceptions were strongly associated with unwillingness to consider TJA and should be addressed at a population level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".