Exploring appropriateness criteria for informing the total knee arthroplasty decision‐making process: An interpretive descriptive study
Bibliographic record
Abstract
RATIONAL: The Hawker appropriateness criteria for total knee arthroplasty (TKA) are: osteoarthritis symptoms impacting quality of life, evidence of osteoarthritis, trial of conservative treatments, patient's realistic expectations, patient/surgeon agree benefits outweigh risks, and readiness for surgery. Little is known about the barriers and facilitators of using the Hawker et al. appropriateness criteria for TKA in clinical practice. AIMS AND OBJECTIVES: Explore the barriers and facilitators to using appropriateness criteria for TKA in making decisions for adults with knee osteoarthritis. METHODS: Interpretive descriptive qualitative study at an academic hospital. Purposive sampling aimed to recruit: (1) healthcare team members at all levels influencing care delivery, and (2) adults with TKA assessed at the hospital clinic. Semi-structured interviews asked about the barriers/facilitators to using the Hawker appropriateness criteria. Data analysis consisted of inductive thematic analysis with themes mapped to the Consolidated Framework for Implementation Research domains. RESULTS: Nine healthcare professionals and 14 adults with TKA participated and identified common barriers to using the Hawker appropriateness criteria: (a) intervention characteristics domain: difficulty to assess criteria, patients expecting healthcare professionals to decide, limited accessibility to conservative treatments; (b) individuals characteristics domain: no need to change current TKA process, clinical judgement limited to OA severity/age, implicit assessment of subjective criteria; (c) inner setting domain: TKA information received after decision made; and (d) outer setting domain: no timely access to TKA. A facilitator of use was evidence/buy-in fosters programme changes. CONCLUSION: Barriers to using the criteria relevant to clinical practice and the healthcare system were identified while only one facilitator was revealed. Interventions tailored to these barriers are needed to support the use of the Hawker appropriateness criteria in TKA decision-making.
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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 | 0.103 | 0.127 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".