Implementing Respiratory Illness Care Pathways in General Hospitals: A Cluster Randomized Trial.

PediatricsNov 1, 2026
Clinical ResearchPediatricsPulmonology

Sunitha V Kaiser, Yeelen R Edwards, Charles E McCulloch et al.

✦ AI-curated · Sources linked

In 30 seconds

This pragmatic, multicenter cluster-randomized trial evaluated implementation of inpatient pathways for asthma, pneumonia, and bronchiolitis in US general hospitals. Across 43 hospitals, 11 760 admissions of children were analyzed. Compared with waitlist control, the intervention was associated with a 9.9 percentage-point absolute increase in mean composite adherence to evidence-based practices (95% CI: 7.4-12.4) and fewer intensive care transfers. Length of stay and 30-day readmission or emergency revisit did not change significantly. The findings indicate that a coordinated, multi-condition pathway approach can improve care-process adherence in general hospitals.

Key findings

  • Mean composite adherence increased by 9.9 percentage points versus control (95% CI: 7.4-12.4).
  • Adherence increased for 4 of the 7 evidence-based practices assessed.
  • Intensive care transfers decreased (adjusted odds ratio 0.69 [95% CI 0.54-0.89]).
  • No significant effects were found for length of stay or 30-day readmission or emergency revisit.

Why it matters

The trial addresses whether a multi-condition pathway strategy can work beyond a freestanding children's hospital, where implementation barriers may differ. Improved adherence across several respiratory conditions, alongside fewer intensive care transfers, suggests that coordinated implementation supports may help general hospitals deliver evidence-based inpatient care. The absence of significant changes in other utilization outcomes helps define the scope of the observed benefit.

What to keep in mind

The study assessed admissions in general hospitals and does not establish whether the findings apply to other settings or patient groups.

Source

Published in Pediatrics. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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