Duration of Postoperative Mechanical Ventilation as a Quality Metric for Pediatric Cardiac Surgical Programs

Michael Gaies1, David K Werho2, Wenying Zhang3

  • 1Division of Cardiology, Department of Pediatrics, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, Michigan; Center for Healthcare Outcomes & Policy, University of Michigan, Ann Arbor, Michigan.

Insights

Postoperative mechanical ventilation duration (POMV) is a key quality metric for pediatric cardiac surgery. This study developed a model to assess hospital performance, revealing significant variation in POMV across centers.

Area of Science:

  • Pediatric Cardiac Surgery
  • Quality Improvement Metrics
  • Critical Care Medicine

Background:

  • Limited quality metrics exist for pediatric cardiac surgical programs.
  • Postoperative mechanical ventilation duration (POMV) is a potential quality indicator linked to complications and resource use.
  • Assessing hospital performance requires case-mix adjustment.

Purpose of the Study:

  • To develop a case-mix-adjusted model for predicting POMV duration.
  • To explore variations in hospital performance using POMV metrics.
  • To identify potential quality improvement opportunities in pediatric cardiac surgery.

Main Methods:

  • Utilized the Pediatric Cardiac Critical Care Consortium registry (4,739 hospitalizations, 15 hospitals).
  • Developed a predictive model for POMV duration, accounting for patient characteristics.
  • Employed bootstrap resampling for robust standard error estimates.
  • Created observed-to-expected (O/E) POMV ratios for hospital benchmarking.

Main Results:

  • 65.6% of patients required POMV; neonatal age significantly impacted predicted duration.
  • A threefold variation in O/E POMV ratios (0.6-1.7) was observed across hospitals.
  • One hospital performed better-than-expected, and three performed worse-than-expected (p < 0.05).

Conclusions:

  • A novel case-mix-adjusted model for predicting POMV duration was developed.
  • Observed-to-expected POMV duration metrics show inter-hospital variation suitable for quality benchmarking.
  • Identifying high-performing centers can drive quality improvement initiatives to safely reduce POMV.
Abstract

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