Effect of Benson's Relaxation Therapy on Pain and Sleep Quality among Patients Undergoing Thoracic Surgery
Bibliographic record
Abstract
Background: Most patients post-thoracic surgery complains of pain and sleep disturbances. Benson's relaxation therapy is one of the non-pharmacological pain management techniques that helps patients recover after thoracic surgery by lessening their discomfort and analgesic side effect. Aim: Evaluate the effect of Benson's relaxation therapy on pain and sleep quality among patients undergoing thoracic surgery. Design: A quasi-experimental design was utilized to conduct this study. Setting: The study was conducted at cardiothoracic surgery department in Badr University Hospital affiliated to Helwan University. Subjects: A purposive sample of 100 post-thoracic surgery patients was recruited for this study. Tools: Three tools were used for data collection I. Structured interview questionnaire included personal and health relevant data. II. Short Form McGill Pain Questionnaire (SFMPQ). III. Groningen Sleep Quality Scale (GSQS). Results: The studied subject with mean age was 57.1 years and 55.4 years for study and control groups respectively. 78%, 66% and 74%, 66 respectively of both studied subjects were married and lived in rural areas, concerning income; around 56% of the participants hadn't enough income. While 84%and 86% of both groups respectively was having surgical history. There was an improvement in pain scores among the study group subjects at immediately postoperative day. Also there was a highly statistical significant difference existed between study and control groups regarding pain scores at 3rd postoperative day at p< 0.001. Furthermore, there was a highly statistically significant relation between study and control groups regarding sleep quality at post-intervention period at p< 0.001 .Conclusion: Patients undergoing thoracic surgery had a positive improvement after applying Benson's relaxation technique, which reduced postoperative pain and enhanced sleep quality. Recommendation: Benson's relaxation therapy (BRT) is a simple, cost-effective, and useful tool that nurses should focus on more when caring for post-operative 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".