Evaluating the Impact of a Nursing‐Led Neuromuscular Exercise Program on Pain, Range of Motion, and Quality of Life in Knee Osteoarthritis Patients: A Quasi‐Experimental Approach
Bibliographic record
Abstract
ABSTRACT Knee osteoarthritis is a leading cause of pain and functional limitation in adults. Neuromuscular exercise (NEMEX) programs are designed to improve sensorimotor control and functional joint stabilization. This study evaluated the effects of a NEMEX program on pain, range of motion, and quality of life in knee osteoarthritis patients. A repeated measure quasi‐experimental study with a control group was conducted at an outpatient orthopedic clinic. Sixty adult knee osteoarthritis patients were conveniently sampled, with 30 in the intervention group receiving the NEMEX program and 30 in the control group. Outcomes were assessed at baseline, post‐intervention, and 2‐month follow‐up using the Knee Range of Motion Assessment, Western Ontario and McMaster Universities Osteoarthritis Index, and Knee Osteoarthritis Quality of Life Questionnaire. The general linear model (GLM) showed the intervention group had significant improvements in knee flexion ( F = 44.106, η 2 = 0.432), extension ( F = 43.972, η 2 = 0.431), and total range of motion ( F = 69.411, η 2 = 0.545) compared to controls ( p < 0.001). Pain scores improved more in the intervention group ( F = 201.037, η 2 = 0.776). The intervention group also improved stiffness ( F = 77.547, η 2 = 0.572) and physical function ( F = 127.420, η 2 = 0.687). Physical activities ( F = 164.155, η 2 = 0.739) and mental health ( F = 76.279, η 2 = 0.568) showed significant group differences, but social functioning had a more negligible effect ( F = 25.164, η 2 = 0.303). These findings indicate that the NEMEX program effectively improved the range of motion, reduced pain, and enhanced quality of life in patients with knee osteoarthritis. However, the effect on social functioning was more minor. The program appears to have positively impacted the physical and psychosocial aspects of the participants' health and well‐being. These findings support incorporating NEMEX into Knee osteoarthritis rehabilitation to enhance functionality, lower discomfort, improve patient outcomes, and improve the general QOL for those managing this illness.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".