Acknowledgements
[Financial support]
This study was supported in part by the Agency for Healthcare Research
and Quality (R01HS024915), Nursing Intensity of Patient Care Needs and
Rates of Healthcare-associated Infections (NIC-HAI), and by The Jonas
Center for Nursing and Veterans Healthcare.
[Conflict of interest]
All authors report no conflicts of interest relevant to this article.
[Ethical Conduct of Research]
This study was approved by the Columbia University Irving Medical Center
Institutional Review Board.
Abstract
Introduction
Given infections in patients with PPM are responsible for adverse
outcomes such as an increased rate of mortality, one important reduction
strategy of the incidence of SSIs is to identify and predict patients at
high risk.