Pain management policy formulation at a tertiary care teaching institute in India: A prospective observational study
Bibliographic record
Abstract
Background: Access to pain management has been recognized as a fundamental human right. Inadequate pain relief hampers the quality of life and has a physiological and psychosocial impact on the patient and caregivers. Inadequate pain relief remains the leading cause of suffering in hospitalized patients worldwide. Objective: The objective of this article is to provide adequate pain relief to hospitalized patients through proper assessment, treatment, and monitoring of pain by the trained health-care workers through a sustainable and effective institutional pain management policy. Methods: The formulation of pain management policy at a tertiary care teaching institute was conducted in three phases - Phase 1: need assessment by an open-label, uncontrolled, prospective observational study over 1 month period, Phase 2: teaching, training, and awareness of health-care workers, and Phase 3: constitution of the committee at the institute level with the formation of pain resource teams. Results: An open-label, prospective observational study conducted over 1 month revealed that among 814 hospitalized patients, 108 out of 235 (46%) patients in medical and 385 out of 579 (66.5%) patients in the surgical cohort had NRS score of ≥3, implying an inadequate pain relief even at 24 h following medical or surgical intervention, respectively. Conclusion: The provision of effective and adequate pain relief to hospitalized patients requires trained health-care workers and a uniform and structured pain management policy at the institutional level. Recognition and addressal of the barriers and challenges while framing an institutional pain policy is of utmost importance.
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How this classification was reachedexpand
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".