Effect of point of care information on inpatient management of bronchiolitis
Bibliographic record
Abstract
BACKGROUND: We studied the effects of access to point-of-care medical evidence in a computerised physician order entry system (CPOE) on management and clinical outcome of children with bronchiolitis. METHODS: This was a before-after study that took place in a Canadian tertiary care paediatric teaching hospital. The intervention was a clinical evidence module (CEM) for bronchiolitis management, adapted from Clinical Evidence (BMJ Publishing Group) and integrated into the hospital CPOE. CPOE users were medical trainees under the supervision of staff physicians working in the infant ward. Use of antibiotics, bronchodilators and corticosteroids; disease severity; length of hospital admission; and trainee use and perception of the CEM were measured before and after CEM introduction. RESULTS: 334 paediatric inpatients age 2 weeks to 2 years, with a clinical diagnosis of bronchiolitis; 147 children the year preceding and 187 children the year following introduction of a Clinical Evidence Module (CEM). The percentage of patients receiving antibiotics fell from 35% to 22% (relative decrease 37%) following the introduction of the CEM (p = 0.016). Bronchodilator use was high but following the CEM patients no longer received more than one variety. Steroid usage and length of hospitalisation were low and unaffected. Trainees found the CEM to be educational. CONCLUSION: Readily accessible clinical evidence at the point of care was associated with a significant decrease in antibiotic use and an end to multiple bronchodilator use. The majority of physician trainees found the CEM to be a useful educational tool.
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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 | 0.003 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".