Sequential analysis for quality control in the neonatal intensive care unit

J Pediatr. 2001 Dec;139(6):778-84. doi: 10.1067/mpd.2001.118427.

Abstract

Objective: This article describes a novel application of a statistical technique for continuous quality assurance in the NICU.

Methods: We used prospective analysis of rates of survival to 28 days of life, without major IVH in ELBW infants in a single tertiary NICU, before and after the introduction of an evidence-based treatment protocol. By using the CUSUM function, each infant's results were sequentially plotted, and significant changes in outcomes were noted when the plot crossed predetermined boundary lines.

Results: Significant changes in outcomes were evident with this method sooner than traditional analyses on the basis of year-end or other arbitrary intervals. The introduction of the ELBW protocol was temporally associated with significant improvement in intact short-term survival.

Conclusion: Sequential analysis techniques are useful tools for ongoing quality assurance; deviations in outcomes may be detected more quickly, which should assist in the identification of improvements or decrements in performance of the NICU.

MeSH terms

  • Data Interpretation, Statistical
  • Gestational Age
  • Humans
  • Infant Mortality
  • Infant, Newborn
  • Infant, Newborn, Diseases / etiology
  • Infant, Newborn, Diseases / mortality*
  • Infant, Newborn, Diseases / therapy*
  • Infant, Very Low Birth Weight
  • Intensive Care Units, Neonatal / standards*
  • Intensive Care Units, Neonatal / statistics & numerical data*
  • Outcome and Process Assessment, Health Care / methods
  • Outcome and Process Assessment, Health Care / standards
  • Outcome and Process Assessment, Health Care / statistics & numerical data
  • Prospective Studies
  • Quality Assurance, Health Care / methods*
  • Quality Assurance, Health Care / standards
  • Quality Assurance, Health Care / statistics & numerical data*
  • Quality Control*
  • Risk Factors
  • Survival Rate