A Quality Improvement Initiative To Reduce Invasive Candidiasis In Extremely Low Birth Weight Neonates.

Autor: Saleem, Syed Muzaffar, Jiwani, Uswa, Hussain, Ali Shabbir, Kumar, Manoj, Kumar, Radhika Suresh, Ariff, Shabina
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Zdroj: Pakistan Armed Forces Medical Journal; 2/29/2024, Vol. 74 Issue 1, p168-168, 1p
Abstrakt: Objective: To evaluate the impact of a quality improvement (QI) initiative, which included a Fluconazole prophylaxis protocol and provider education on neonatal Candidiasis. Study Design: Retrospective longitudinal study. Place and Duration of Study: Neonatal Intensive Care Unit (NICU), Aga Khan University, Karachi Pakistan, from Apr 2015 to Dec 2019. Methodology: All extremely low birth weight neonates (ELBW) neonates admitted to the NICU between April 2015 and March 2017 were included in the pre-implementation phase. All ELBW neonates admitted between April 2017 and December 2019 were included in the post-implementation phase. Data were collected from medical records. The primary outcome was the frequency of Invasive Candidiasis (IC) before and after the QI initiative. Results: Altogether, 272 neonates were included in the study, with 115 neonates in the Pre-Implementation Group and 157 neonates in the Post-Implementation Group. The frequency of IC was 6(5.2%) in the pre-implementation and 1(0.6%) in the post-implementation period, (p=0.044). Candida parapsilosis 2(40%) and Candida glabrata 2(40%) were the organisms most commonly isolated from blood cultures. All organisms were sensitive to Fluconazole in both the pre-and post-implementation cohorts. There was no difference in mortality (54(50.5%) vs. 69(44.2%), p=0.32) or length of stay (19.6±13.3 vs. 23.4±18.4 days, p=0.061) before and after Fluconazole prophylaxis. Conclusion: The frequency of invasive Candidiasis in ELBW neonates was successfully reduced by introducing a Fluconazole prophylaxis protocol in the NICU as a QI initiative. A team-based approach and provider education ensured high compliance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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