The Effects of a Self-Efficacy Theory-Based Exercise Program for Patients Undergoing with Total Knee Arthroplasty
Bibliographic record
Abstract
PURPOSE: This study was performed to develop a self-efficacy theory-based exercise program for total knee arthroplasty (TKA) and to test the program's efficacy in ameliorating knee pain and restoring function as measured by lower extremity muscle strength, 3 meter walking time, Korean Western Ontario McMaster Index (WOMAC), exercise self-efficacy, and length of hospital stay for TKA patients. METHODS: This quasi-experimental study incorporating a non-equivalent control group and pretest-posttest non-synchronized design non-synchronous design was applied to assess self-efficacy reinforcement strategies based on self-efficacy theory. The exercise program consisted of the following steps: TKA, education to prevent postoperative complications, and muscle strength exercises. Respective exercise and control groups included 29 and 27 participants. The experimental group received eight sessions of the program from three weeks before TKA to four weeks after TKA. Collected data were analyzed using the chi-square test, Mann-Whitney U test, and ranked ANCOVA and t-tests using IBM SPSS Statistics 23. RESULTS: = .040) compared to the control group. No significant differences in knee pain and range of motion were observed. CONCLUSION: These findings indicate that a self-efficacy theory-based exercise program can be an effective exercise strategy that patients undergoing TKA can easily follow at home without assistance. It is thus recommended as an exercise intervention for TKA patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".