Telephone Follow-Up by Nurse After Total Knee Arthroplasty
Bibliographic record
Abstract
BACKGROUND/PURPOSE: Because of shorter hospitalizations, patients now have to take responsibility for their recovery period at a very early stage. We evaluated the effects of structured, nurse-managed telephone follow-up (TFU) after discharge from the hospital following total knee arthroplasty (TKA). METHOD/DESIGN: The design was a single-center, unblinded, parallel-group randomized clinical trial. The primary outcome was self-reported physical function according to the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index. Secondary outcomes were stiffness and pain according to the WOMAC Index; health-related quality of life, measured with the Medical Outcomes Study Short Form (SF-36); general self-efficacy, measured with the General Self-Efficacy Scale; and number of acute visits to the orthopaedic outpatient clinic. In total, 117 patients were randomized to 2 groups: an intervention group receiving TFU 4 and 14 days after discharge in addition to conventional treatment, and a control group receiving conventional treatment. The TFUs were structured by key subjects for health status, as defined by the VIPS model (the Swedish acronym for the concepts of Well-being, Integrity, Prevention, and Safety). The effect was measured 1 and 3 months postsurgery. RESULTS: No significant effects on physical function in the disease-specific WOMAC Index were identified. However, significant differences in scores were identified in favor of the intervention group on general self-efficacy (p = .014) and physical function (p = .031), measured with the Medical Outcomes Study Short Form 1 month after TKA, but this effect was not seen at 3 months. A positive improvement in several dimensions of health status and health-related quality of life was identified in favor of the intervention group, but patients who had TFU had more unscheduled visits to the outpatient clinic. CONCLUSIONS: Telephone follow-up did not improve physical function compared with conventional treatment, as measured with the WOMAC Index. A short-term effect was identified, improving general self-efficacy and physical function as dimensions of health-related quality of life.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".