A Case-Control Study of the Effects of Implementing the Registered Nurses’ Association of Ontario Guidelines for the Assessment and Management of Postoperative Pain and the Use of Relaxation Therapy in 312 Patients with Bone and Soft-Tissue Malignancy
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Bibliographic record
Abstract
BACKGROUND The present study aimed to investigate the effects of implementing the Registered Nurses' Association of Ontario (RNAO) guidelines for the management of postoperative pain and the use of Jacobson's relaxation technique (JRT) in patients with bone and soft-tissue malignancy at a single center in China. MATERIAL AND METHODS A total of 312 patients were recruited and randomly divided into 2 groups. In the intervention group, the RNAO pain-management technique of JRT was adopted, while the control group received the standard institutional nursing management. Pain scores after the operation, according to the Numerical Rating Scale (NRS) combined with the Wong-Baker Faces Pain Rating Scale and Short-Form McGill Pain Questionnaire, were compared between the 2 groups. Nursing satisfaction was compared as well. RESULTS At 6, 24, and 72 h after the operation, the NRS scores combined with the Wong-Baker Faces Pain Rating Scale in the intervention group were significantly lower than those in the control group (P<0.001); 72 h after the operation, the Pain Rating Index, Visual Analogue Scale, present pain intensity, and total scores for the intervention group were significantly lower than those for the control group (P<0.001 for all 4 scores). The scores reported from the patients for nursing response and consequent care (P<0.001), nursing competence (P=0.029), and surgical pain-control satisfaction (P<0.001) in the intervention group were also significantly higher than those in the control group. CONCLUSIONS JRT can improve postoperative pain-control and nursing satisfaction in patients with malignant bone and soft-tissue tumors. These data suggest a benefit for application of JRT in clinical care.
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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 | 0.006 | 0.001 |
| 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) | 0.000 | 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 it