A protocol for a survey of patient perceptions about outpatient joint replacement surgery (The RAAPID survey)
Bibliographic record
Abstract
Background: Total knee arthroplasty (TKA) and total hip arthroplasty (THA), are the second and third most common surgical procedures performed in Canada, accounting for more than 600,000 acute care bed days and over $1 billion CAD in healthcare spending. The demand for these procedures, both in Canada and internationally, is only expected to increase. Same-day discharge has been demonstrated to be safe and effective in properly selected patients and has the potential to greatly decrease the cost of THA and TKA, collectively referred to as total joint arthroplasty (TJA). The existing literature focuses on implementing outpatient TJA from the physician’s perspective. However, patient opinions do not always align with physician opinions. To date, only one study has explored patients’ perspectives regarding outpatient TJA; many questions remain unanswered. To effectively implement or expand outpatient joint replacement programs, detailed exploration of the patient perspective is necessary. Methods: This study is a multicentre cross-sectional survey to primarily determine the proportion of patients who are open to outpatient TJA. Adult patients scheduled for primary TJA surgery or those who have received TJA surgery in the past year will be included in the survey. The secondary objectives of this survey are to determine patient characteristics associated with openness to outpatient TJA, describe patient concerns regarding outpatient TJA, and identify potential methods to increase patient comfort with outpatient TJA. Discussion: Resource expenditure and clinical practice are increasingly guided by subjective patient outcomes, especially in the area of joint replacement. With the current focus on cost-efficiency in healthcare, there is increasing interest in outpatient TJA. By exploring how patients perceive outpatient TJA, this study may serve to guide the development of educational resources and programs to enhance and support outpatient TJA. Addressing concerns identified by patients in an evidence-based manner has the potential to improve patient satisfaction and outcomes in the growing trend of outpatient TJA.
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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 | 0.029 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.126 | 0.029 |
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".