Healthcare-associated infections (HAIs) are a major cause of concern because of the high levels of associated morbidity, mortality, and cost. In addition, children and intensive care unit (ICU) patients are more vulnerable to these infections due to low levels of immunity. Various medical interventions and statistical process control techniques have been suggested to counter the spread of these infections and aid early detection of an infection outbreak. Methods such as hand hygiene help in the prevention of HAIs and are well-documented in the literature. This chapter demonstrates the utilization of a systems methodology to model and validate factors that contribute to the risk of HAIs in a pediatric ICU. It proposes an approach that has three unique aspects: it studies the problem of HAIs as a whole by focusing on several HAIs instead of a single type, it projects the effects of interventions onto the general patient population using the system-level model, and it studies both medical and behavioral interventions and compares their effectiveness. This methodology uses a systems modeling framework that includes simulation, risk analysis, and statistical techniques for studying interventions to reduce the transmission likelihood of HAIs.
The authors are grateful to the advisory board of this research, whose guidance has vastly helped this article. This research was supported by the Agency for Healthcare Research and Quality (AHRQ) grant HS15732-01A2.
Limaye, S. and Mastrangelo, C. (2019), "Systems Modeling Approach for Reducing the Risk of Healthcare-Associated Infections", Structural Approaches to Address Issues in Patient Safety (Advances in Health Care Management, Vol. 18), Emerald Publishing Limited, pp. 35-60. https://doi.org/10.1108/S1474-823120190000018013Download as .RIS
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