The Phenomenon of Post Digestive Surgery Patient’s Pain in West Java Indonesia
Bibliographic record
Abstract
Introduction: The high prevalence of pain in post-digestive surgery patients shows urgency in handling pain management. The role of a nurse anesthetist is needed to conduct pain assessment and pain management to solve the problem. Objective: This study aimed to analyze the phenomenon of pain in post-digestive surgery patients in the inpatient room of Hospital X in West Java, Indonesia. Methods: This research used a quantitative observational approach with 30 post-digestive surgery patients. Sampling used an accidental sampling technique, with an observation sheet using Visual Analogue Scale indicators, then analyzed descriptively. Results and Discussion: Results showed that most of the respondents complained of severe pain after being given the analgesic of Tramadol 100 mg and ketorolac 60 mg drip. Conclusion: This study concludes that the level of pain in post-digestive surgery patients at X Hospital 4 hours after post-surgery is on the severe pain scale. So, it is recommended that pain assessment be further improved and further research on postoperative pain management.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".