scholarly journals PMD8 COST-EFFECTIVENESS ANALYSIS OF TEGADERM CHLORHEXIDINE GLUCONATE(CHG) DRESSING VERSUS STANDARD DRESSING IN PATIENTS WITH CENTRAL VENOUS CATHETER IN CHINESE INTENSIVE CARE UNITS

2019 ◽  
Vol 22 ◽  
pp. S217
Author(s):  
H. Li ◽  
Q. Liu ◽  
H. Jia ◽  
Q. Wang
PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0130439 ◽  
Author(s):  
Franck Maunoury ◽  
Anastasiia Motrunich ◽  
Maria Palka-Santini ◽  
Stéphanie F. Bernatchez ◽  
Stéphane Ruckly ◽  
...  

2004 ◽  
Vol 25 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Irene Guat Sim Cheah ◽  
Anna Padma Soosai ◽  
Swee Lan Wong ◽  
Teck Onn Lim

2020 ◽  
pp. 088506662096245
Author(s):  
Malini Mahendra ◽  
Patrick McQuillen ◽  
R. Adams Dudley ◽  
Martina A. Steurer

Objective: Describe patient and hospital characteristics associated with Arterial Catheter (AC) or Central Venous Catheter (CVC) use among pediatric intensive care units (ICUs). Design: Hierarchical mixed effects analyses were used to identify patient and hospital characteristics associated with AC or CVC placement. The ICU adjusted median odds ratios (ICU-AMOR) for the admission ICU, marginal R2, and conditional intraclass correlation coefficient were reported. Setting: 166 PICUs in the Virtual PICU Systems (VPS, LLC) Database. Patients: 682,791 patients with unscheduled admissions to the PICU. Intervention: None. Measures and Main Results: ACs were placed in (median, [interquartile range]) 8.2% [4.9%-11.3%] of admissions, and CVCs were placed in 14.9% [10.4%-19.3%] of admissions across cohort ICUs. Measured patient characteristics explained about 25% of the variability in AC and CVC placement. Higher Pediatric Index of Mortality 2 (PIM2) illness severity scores were associated with increased odds of placement (Odds Ratio (95th% Confidence Interval)) AC: 1.88 (1.87-1.89) and CVC: 1.82 (1.81-1.83) per 1 unit increase in PIM2 score. Primary diagnoses of cardiovascular, gastrointestinal, hematology/oncology, infectious, renal/genitourinary, rheumatology, and transplant were associated with increased odds of AC or CVC placement compared to a primary respiratory diagnosis. Presence of in-house attendings 24/7 was associated with increased odds of AC placement 1.32 (1.11-1.57). Admission ICU explained 4.9% and 3.5% of the variability in AC or CVC placement, respectively. The ICU-AMOR showed a patient would have a median increase in odds of 55% and 43% for AC or CVC placement, respectively, if the same patient moved from an ICU with lower odds of placement to an ICU with higher odds of placement. Conclusions: Variation in AC or CVC use exists among PICUs. The admission ICU was more strongly associated with AC than with CVC placement. Further study is needed to understand unexplained variation in AC and CVC use.


2013 ◽  
Vol 55 (2) ◽  
pp. 185-189 ◽  
Author(s):  
Yasushi Ohki ◽  
Kenichi Maruyama ◽  
Akira Harigaya ◽  
Miyuki Kohno ◽  
Hirokazu Arakawa

2013 ◽  
Vol 34 (09) ◽  
pp. 899-907 ◽  
Author(s):  
Sheri Chernetsky Tejedor ◽  
Gina Garrett ◽  
Jesse T. Jacob ◽  
Ellen Meyer ◽  
Mary Dent Reyes ◽  
...  

Background.Measurement of central line-associated bloodstream infection (CLABSI) rates outside of intensive care units is challenged by the difficulty in reliably determining central venous catheter (CVC) use. The National Healthcare Safety Network (NHSN) allows for use of electronic data for determination of CVC-days, but validation of electronic data has not been studied systematically.Objective.To design and validate a process to reliably measure CVC-days outside of the intensive care units that leverages electronic documentation.Methods.Thirty-four inpatient wards at 2 academic hospitals using a common electronic platform for nursing documentation were studied. Electronic queries were created to capture patient and CVC information, and tools and processes for tracking and reporting errors in documentation were developed. Strategies to validate electronic data included comparisons with manual CVC-day determinations and automated data validation using customized tools. Interventions included redesign of documentation interface, real-time audit with feedback of errors, and education. The primary outcome was patient-level total error rate in electronic CVC-day measurement compared with manually counted CVC-days.Results.At baseline, there were a mean (± standard deviation) of 0.32 ± 0.25 electronic CVC-day errors (omission and commission errors summed and counted equally) per manually counted CVC-day. After several process improvement cycles over 7 months, the error rate decreased to <0.05 errors per CVC-day and remained at or below this level for 2 years.Conclusions.Baseline electronic CVC-day counts had a high error rate. Stepwise interventions reduced errors to consistently low levels. Validation of electronic calculation of CVC-days is essential to ensure accuracy, particularly if these data will be used for interinstitutional comparison.


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