Reducing patient–staff contact in fast-track total hip arthroplasty has no effect on patient-reported outcomes, but decreases satisfaction amongst patients with self-perceived complications: analysis of 211 patients
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Several studies have compared fast-track with conventional pathways for total hip arthroplasty (THA) patients, but none have compared different fast-track pathways. Due to COVID-19 restrictions, our department had to minimize patient-staff contact in the THA pathway. First, telephone consultations were implemented instead of an outpatient clinic visit and subsequently preoperative patient education was discontinued. This enabled us to compare patient-reported outcomes and satisfaction among 3 fast-track pathways. PATIENTS AND METHODS: We collected data from patients treated for hip osteoarthritis with THA at Gødstrup Hospital between 2018 and 2021. The patients had experienced 1 of 3 pathways and were interviewed via telephone between 2 and 6 months after discharge. We analyzed the influence of patient pathway on patient-reported pain and mobility level, self-perceived complications, and compliance using logistic regression. We then compared the pathway's effect on patient satisfaction both for the total sample and for the patients who experienced complications. RESULTS: The amount of patient-staff contact in the patient pathway did not have any influence on patientreported outcomes or the probability of self-perceived complications. For the full sample, patient-staff contact had no statistically significant influence on patient satisfaction either, but for the subgroup of patients experiencing complications, the pathways with less patient-staff contact reduced satisfaction. Patient satisfaction was primarily related to pain and mobility outcomes. INTERPRETATION: Our results indicate that reducing patient-staff contact in fast-track THA can be done without influencing mobility and pain outcomes, but the overall satisfaction among patients with self-perceived complications will be negatively affected.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".