Assessment of Health Care Workers' Adherence to the Egyptian Guidelines of Infection Control in a Neonatal Intensive Care Unit , Ain Shams University

2013 ◽  
Vol 31 (4) ◽  
pp. 55-64
Author(s):  
Mohsen A. Gadallah ◽  
Aisha M. Aboul Fotouh ◽  
Safaa S. Imam ◽  
Ihab S. Habil ◽  
Ghada O. Wassif
2011 ◽  
Vol 111 (5) ◽  
pp. 1235-1249 ◽  
Author(s):  
J. Ben Abdeljelil ◽  
F. Saghrouni ◽  
N. Emira ◽  
E. Valentin-Gomez ◽  
N. Chatti ◽  
...  

2009 ◽  
Vol 169 (7) ◽  
pp. 783-787 ◽  
Author(s):  
Rigoberto Hernández-Castro ◽  
Sara Arroyo-Escalante ◽  
Erika M. Carrillo-Casas ◽  
David Moncada-Barrón ◽  
Elizabeth Álvarez-Verona ◽  
...  

Author(s):  
Meltem Karabay ◽  
Gulsum Kaya ◽  
Taner Hafizoglu ◽  
Oguz Karabay

Abstract Background In terms of pediatric healthcare-associated infections (HAI), neonatal intensive care units (NICU) constitute the greatest risk. Contacting a health care personnel, either directly or indirectly, elevates NICU occurrence rate and risks other infants in the same unit. In this study, it is aimed to retrospectively analyze the effect of the training along with camera monitoring and feedback (CMAF) to control the infection following a small outbreak. Methods ESBL producing Klebsiella pneumoniae was detected on three infants in May 2014 at the isolation room of Sakarya University Hospital NICU. Precautions were taken to prevent further spread of the infection. The infected infants were isolated and the decolonization process was initiated. For this aspect, health care workers (HCWs) in NICU were trained for infection control measures. An infection control committee has monitored the HCWs. Before monitoring, an approval was obtained from the hospital management and HCWs were informed about the CMAF, who were then periodically updated. On a weekly basis, NICU workers were provided with the feedbacks. Epidemic period and post-epidemic control period (June–July–August 2014) were evaluated and p value < 0.05 was considered statistically significant. Results Healthcare-associated infection (HAI) density was 9.59% before the onset of the CMAF, whereas it was detected as 2.24% during the CMAF period (p < 0.05). Following the precautions, HAI and HAI density rates have reduced to 76.6% and 74.85%, respectively. Moreover, hand hygiene compliance of health care workers was found 49.0% before the outbreak, whereas this rate has elevated to 62.7% after CMAF. Conclusions Healthcare workers should be monitored in order to increase their compliance for infection control measures. Here, we emphasized that that CMAF of health workers may contribute reducing the HAI rate in the NICU.


2021 ◽  
pp. 097321792110512
Author(s):  
Suryaprakash Hedda ◽  
Shashidhar A. ◽  
Saudamini Nesargi ◽  
Kalyan Chakravarthy Balla ◽  
Prashantha Y. N. ◽  
...  

Background: Monitoring in neonatal intensive care unit (NICU) largely relies on equipment which have a number of alarms that are often quite loud. This creates a noisy environment, and moreover leads to desensitization of health-care personnel, whereby potentially important alarms may also be ignored. The objective was to evaluate the effect of an educational package on alarm management (the number of alarms, response to alarms, and appropriateness of settings). Methods: A before and after study was conducted at a tertiary neonatal care center in a teaching hospital in India involving all health-care professionals (HCP) working in the high dependency unit. The intervention consisted of demo lectures about working of alarms and bedside demonstrations of customizing alarm limits. A pre- and postintervention questionnaire was also administered to assess knowledge and attitude toward alarms. The outcomes were the number and type of alarms, response time, appropriateness of HCP response, and appropriateness of alarm limits as observed across a 24-h period which were compared before and after the intervention. Findings: The intervention resulted in a significant decrease in the number of alarms (11.6-9.6/h). The number of times where appropriate alarm settings were used improved from 24.3% to 67.1% ( P < .001). The response time to alarm did not change significantly (225 s vs 200 s); however, the appropriate response to alarms improved significantly from 15.6% to 68.8%. Conclusion: A simple structured intervention can improve the appropriate management of alarms. Application to Practice: Customizing alarm limits and nursing education reduce the alarm burden in NICUs


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