Implementation of an Advanced Nursing Directive for Children With Right Lower Quadrant Pain
Bibliographic record
Abstract
OBJECTIVES: Advanced nursing directives (ANDs) empower nursing staff to provide advanced levels of care before physician assessment. The objectives of this study were (1) to determine whether an AND for right lower quadrant (RLQ) pain could identify children who required any further investigation to diagnose appendicitis and (2) to determine whether children meeting AND criteria had better emergency department (ED) flow metrics compared with those who did not meet the criteria. METHODS: Health records of children aged 3 to 17 years presenting to the ED with abdominal pain who were managed using the departmental AND for RLQ pain were reviewed. Primary outcomes included (1) the proportion of patients requiring further investigation to diagnose appendicitis and (2) the time interval from triage to blood draw. Secondary outcomes included additional ED flow metrics, perforation rate, and negative appendectomy rate. RESULTS: An AND was completed for 210 children. Those who met the AND criteria were more likely to undergo further investigation to rule out appendicitis than those who did not meet the criteria (92/137 [67.2%] vs 32/73 [43.8%]; odds ratio [OR], 2.62; 95% confidence interval [CI], 1.40-4.90). Time to blood draw was significantly lower for those children meeting the AND criteria (74 vs 162 minutes, P < 0.001) as was time to hospital admission (271 vs 395 minutes, P = 0.008) and appendectomy (498 vs 602 minutes, P = 0.015). The negative appendectomy rate was 8.6% (5/58) for children meeting the AND criteria and 9.1% (2/22) for those not meeting the criteria (OR, 0.94; 95% CI, 0.14-10.67); the perforation rate was 29.3% (17/58) and 4.5% (1/22), respectively (OR, 8.17; 95% CI, 1.17-380.86). CONCLUSIONS: Children presenting to the ED with RLQ pain who meet the AND criteria are more likely to require further investigation to rule out appendicitis and have better department flow metrics than those who do not meet the criteria. Our results provide further evidence of the utility of ANDs in the ED.
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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 | 0.005 | 0.033 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".