The impact of implementing a preprinted order form for inpatient management of otherwise healthy children admitted to a tertiary care centre with a diagnosis of bronchiolitis
Bibliographic record
Abstract
OBJECTIVE: To examine the effect on length of stay (LOS) of a preprinted order (PPO) set for children admitted to hospital with a diagnosis of bronchiolitis, as well as on quality improvement measures, medical errors, and resource utilization. PATIENTS AND METHODS: A retrospective chart review was performed of children admitted to the inpatient units at the Children's Hospital of Eastern Ontario (CHEO) with a discharge diagnosis of bronchiolitis. Primary and secondary outcomes were compared between the pre-PPO (December 1, 2014 to June 30, 2015) and post-PPO (December 1, 2015 to June 30, 2016) periods. The primary outcome was LOS in days. Secondary outcomes included the proportion of quality improvement measures reached, the number of medical errors, and resource utilization. RESULTS: A total of 245 patients were included; 122 patients from the pre-PPO period (December 1, 2014 to June 30, 2015) and 123 patients from the post-PPO period (December 1, 2015 to June 30, 2016). Mean LOS was 3.1 days (2.7 to 3.5 days) and 2.8 days (2.4 to 3.2 days) in the pre- and post-PPO periods, respectively (multivariate analysis, P-value = 0.13). There were significant differences between the pre- and post-PPO periods in a number of quality improvement measures, although not in the number of medical errors. Significant reductions in oxygen, corticosteroid, antibiotic, and bronchodilator use were noted post-PPO implementation. CONCLUSION: Although our bronchiolitis PPO did not significantly shorten LOS, it led to important improvements in quality improvement measures and in resource utilization efficiency.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".