Peer-to-Peer Nursing Rounds and Hospital-Acquired Pressure Ulcer Prevalence in a Surgical Intensive Care Unit

2012 ◽  
Vol 39 (2) ◽  
pp. 152-157 ◽  
Author(s):  
Alyson Dare Kelleher ◽  
Amanda Moorer ◽  
MaryBeth Flynn Makic
2007 ◽  
Vol 28 (9) ◽  
pp. 1030-1035 ◽  
Author(s):  
Cristina Bellini ◽  
Christiane Petignat ◽  
Patrick Francioli ◽  
Aline Wenger ◽  
Jacques Bille ◽  
...  

Objective.Surveillance of nosocomial bloodstream infection (BSI) is recommended, but time-consuming. We explored strategies for automated surveillance.Methods.Cohort study. We prospectively processed microbiological and administrative patient data with computerized algorithms to identify contaminated blood cultures, community-acquired BSI, and hospital-acquired BSI and used algorithms to classify the latter on the basis of whether it was a catheter-associated infection. We compared the automatic classification with an assessment (71% prospective) of clinical data.Setting.An 850-bed university hospital.Participants.All adult patients admitted to general surgery, internal medicine, a medical intensive care unit, or a surgical intensive care unit over 3 years.Results.The results of the automated surveillance were 95% concordant with those of classical surveillance based on the assessment of clinical data in distinguishing contamination, community-acquired BSI, and hospital-acquired BSI in a random sample of 100 cases of bacteremia. The two methods were 74% concordant in classifying 351 consecutive episodes of nosocomial BSI with respect to whether the BSI was catheter-associated. Prolonged episodes of BSI, mostly fungemia, that were counted multiple times and incorrect classification of BSI clinically imputable to catheter infection accounted for 81% of the misclassifications in automated surveillance. By counting episodes of fungemia only once per hospital stay and by considering all cases of coagulase-negative staphylococcal BSI to be catheter-related, we improved concordance with clinical assessment to 82%. With these adjustments, automated surveillance for detection of catheter-related BSI had a sensitivity of 78% and a specificity of 93%; for detection of other types of nosocomial BSI, the sensitivity was 98% and the specificity was 69%.Conclusion.Automated strategies are convenient alternatives to manual surveillance of nosocomial BSI.


1993 ◽  
Vol 110 (3) ◽  
pp. 427-436 ◽  
Author(s):  
G. Döring ◽  
M. Hörz ◽  
J. Ortelt ◽  
H. Grupp ◽  
C. Wolz

SUMMARYGenotyping was used to analysePseudomonas aeruginosaisolates from sink drains and 15 intubated patients as part of a 3-month prospective study of strain transmission in a medical-surgical intensive care unit. Ninety percent of all washbasin drains were persistently contaminated with severalP. aeruginosagenotypes. In 60% (9/15) of the patients,P. aeruginosacolonization or infection was hospital-acquired:P. aeruginosastrains isolated from these patients were present in hospital sinks or in other patients before their admission. Since all patients were immobile, personnel were the probable route of transmission ofP. aeruginosain the hospital. The mechanism of strain transmission from sinks to hands during hand washing was investigated in a children's hospital. WhenP. aeruginosawas present at densities of > 105/c.f.u. per ml in sink drains, hand washing resulted in hand contamination withP. aeruginosavia aerosol generation in the majority of experiments orP. aeruginosawas detected using an air sampler above the washing basin. HighP. aeruginosacfu were present at 4.30 h in the eight sinks (5.4 × 105−7.0 × 1010c.f.u./ml), whereas at 13.00 hP. aeruginosac.f.u. were significantly lower (3.1 × 102−8.0 × 105c.f.u. / ml). These data reveal that the danger of bacterial contamination of hands during hand washing is highest in the morning. The identified transmission routes demand more effective hygienic measures in hospital settings particularly concerning personnel hands and sink drains.


2015 ◽  
Vol 79 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Daniel Dante Yeh ◽  
Leily Naraghi ◽  
Andreas Larentzakis ◽  
Nathan Nielsen ◽  
Walter Dzik ◽  
...  

2018 ◽  
Vol 19 ◽  
pp. e26
Author(s):  
M. Colombino ◽  
A. Longobardi ◽  
A. Panza ◽  
G. Mastrogiovanni ◽  
P. Masiello ◽  
...  

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