Validation of the Critical-Care Pain Observation Tool in Adult Patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Little research has been conducted to validate pain assessment tools in critical care, especially for patients who cannot communicate verbally. OBJECTIVE: To validate the Critical-Care Pain Observation Tool. METHODS: A total of 105 cardiac surgery patients in the intensive care unit, recruited in a cardiology health center in Quebec, Canada, participated in the study. Following surgery, 33 of the 105 were evaluated while unconscious and intubated and 99 while conscious and intubated; all 105 were evaluated after extubation. For each of the 3 testing periods, patients were evaluated by using the Critical-Care Pain Observation Tool at rest, during a nociceptive procedure (positioning), and 20 minutes after the procedure, for a total of 9 assessments. Each patient's self-report of pain was obtained while the patient was conscious and intubated and after extubation. RESULTS: The reliability and validity of the Critical-Care Pain Observation Tool were acceptable. Interrater reliability was supported by moderate to high weighted kappa coefficients. For criterion validity, significant associations were found between the patients' self-reports of pain and the scores on the Critical-Care Pain Observation Tool. Discriminant validity was supported by higher scores during positioning (a nociceptive procedure) versus at rest. CONCLUSIONS: The Critical-Care Pain Observation Tool showed that no matter their level of consciousness, critically ill adult patients react to a noxious stimulus by expressing different behaviors that may be associated with pain. Therefore, the tool could be used to assess the effect of various measures for the management of pain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.045 |
| 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 | 0.001 |
| 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