Neonatal intensive care unit collaboration to decrease hospital-acquired bloodstream infections: from comparative performance reports to improvement networks.
This two-part article provides a general guide to thinking about data-driven clinical performance evaluation and describes two statewide improvement networks anchored in such comparisons. Part 1 examines key ideas for making fair comparisons among providers. Part 2 describes the development of a data-driven collaborative that aims to reduce central line associated bloodstream infections in neonatal ICUs across New York State, and a more mature collaborative in California that has already succeeded in reducing these infections; it provides sufficient detail and tools to be of practical help to others seeking to create such networks. The content illustrates concepts with broad applicability for pediatric quality improvement.
Schulman
Joseph
J
Division of Newborn Medicine, Department of Pediatrics, Weill Cornell Medical College of Cornell University, The New York Presbyterian Hospital, 525 East 68th Street, Box 106, NY 10065, USA. jos2039@med.cornell.edu
Wirtschafter
David D
DD
Kurtin
Paul
P
D002140:California; D002405:Catheterization, Central Venous / Q000009:adverse effects; D003299:Cooperative Behavior; D003428:Cross Infection / Q000517:prevention & control*; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal / Q000592:standards / Q000706:statistics & numerical data; D009518:New York; D017063:Outcome Assessment, Health Care; D012372:ROC Curve; D018805:Sepsis / Q000517:prevention & control*; D011795:Surveys and Questionnaires