scholarly journals Antiseptic use in the neonatal intensive care unit - a dilemma in clinical practice: An evidence based review

2016 ◽  
Vol 5 (2) ◽  
pp. 159 ◽  
Author(s):  
Sundar Sathiyamurthy ◽  
Jayanta Banerjee ◽  
Sunit V Godambe
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Practice ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Evidence Based

Shortening the Application Time of Alcohol-Based Hand Rubs to 15 Seconds May Improve the Frequency of Hand Antisepsis Actions in a Neonatal Intensive Care Unit

2017 ◽  
Vol 38 (12) ◽  
pp. 1430-1434 ◽  
Author(s):  
Axel Kramer ◽  
Didier Pittet ◽  
Romana Klasinc ◽  
Stefan Krebs ◽  
Torsten Koburger ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Practice ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Application Time ◽  
Improve Hand Hygiene ◽  
Independent Observer ◽  
Hand Antisepsis

BACKGROUNDFor alcohol-based hand rubs, the currently recommended application time of 30 seconds is longer than the actual time spent in clinical practice. We investigated whether a shorter application time of 15 seconds is microbiologically safe in neonatal intensive care and may positively influence compliance with the frequency of hand antisepsis actions.METHODSWe conducted in vitro experiments to determine the antimicrobial efficacy of hand rubs within 15 seconds, followed by clinical observations to assess the effect of a shortened hand antisepsis procedure under clinical conditions in a neonatal intensive care unit (NICU). An independent observer monitored the frequency of hand antisepsis actions during shifts.RESULTSAll tested hand rubs fulfilled the requirement of equal or even significantly higher efficacy within 15 seconds when compared to a reference alcohol propan-2-ol 60% (v/v) within 30 seconds. Microbiologically, reducing the application time to 15 seconds had a similar effect when compared to 30-second hand rubbing, but it resulted in significantly increased frequency of hand antisepsis actions (7.9±4.3 per hour vs 5.8±2.9 per hour; P=.05).CONCLUSIONTime pressure and workload are recognized barriers to compliance. Therefore, reducing the recommended time for hand antisepsis actions, using tested and well-evaluated hand rub formulations, may improve hand hygiene compliance in clinical practice.Infect Control Hosp Epidemiol 2017;38:1430–1434

scholarly journals Aspirin for Evidence-Based Preeclampsia Prevention trial: effect of aspirin on length of stay in the neonatal intensive care unit

2018 ◽  
Vol 218 (6) ◽  
pp. 612.e1-612.e6 ◽  
Author(s):  
David Wright ◽  
Daniel L. Rolnik ◽  
Argyro Syngelaki ◽  
Catalina de Paco Matallana ◽  
Mirian Machuca ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Prevention Trial ◽  
Evidence Based ◽  
Trial Effect

An Evidence-Based Approach for Managing Catheter-Associated Bloodstream Infection in a Level II Neonatal Intensive Care Unit

2010 ◽  
Vol 25 (2) ◽  
pp. 100-104 ◽  
Author(s):  
Lovely Joy-Joseph ◽  
Jessie M. Colin ◽  
Cindy Rich Rosenstein ◽  
Francesca Chinye-Onyejuruwa
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Bloodstream Infection ◽  
Neonatal Intensive Care ◽  
Evidence Based ◽  
Level Ii

scholarly journals Time Series Analysis for Forecasting Hospital Census: Application to the Neonatal Intensive Care Unit

2016 ◽  
Vol 07 (02) ◽  
pp. 275-289 ◽  
Author(s):  
Stephen Hoover ◽  
Eric Jackson ◽  
David Paul ◽  
Robert Locke ◽  
Muge Capan
Keyword(s):  
Intensive Care Unit ◽  
Time Series ◽  
Intensive Care ◽  
Clinical Practice ◽  
Linear Regression ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Resource Planning ◽  
Forecasting Models ◽  
Best Fitting

SummaryAccurate prediction of future patient census in hospital units is essential for patient safety, health outcomes, and resource planning. Forecasting census in the Neonatal Intensive Care Unit (NICU) is particularly challenging due to limited ability to control the census and clinical trajectories. The fixed average census approach, using average census from previous year, is a forecasting alternative used in clinical practice, but has limitations due to census variations.Our objectives are to: (i) analyze the daily NICU census at a single health care facility and develop census forecasting models, (ii) explore models with and without patient data characteristics obtained at the time of admission, and (iii) evaluate accuracy of the models compared with the fixed average census approach.We used five years of retrospective daily NICU census data for model development (January 2008 - December 2012, N=1827 observations) and one year of data for validation (January - December 2013, N=365 observations). Best-fitting models of ARIMA and linear regression were applied to various 7-day prediction periods and compared using error statistics.The census showed a slightly increasing linear trend. Best fitting models included a nonseasonal model, ARIMA(1,0,0), seasonal ARIMA models, ARIMA(1,0,0)×(1,1,2)7 and ARIMA(2,1,4)×(1,1,2)14, as well as a seasonal linear regression model. Proposed forecasting models resulted on average in 36.49% improvement in forecasting accuracy compared with the fixed average census approach.Time series models provide higher prediction accuracy under different census conditions compared with the fixed average census approach. Presented methodology is easily applicable in clinical practice, can be generalized to other care settings, support shortand long-term census forecasting, and inform staff resource planning.

Sign in / Sign up

Export Citation Format

Share Document