The value of the INFECTIONS scoring system in identifying bacterial infections among patients presenting at the emergency department of a middle-income country: A pilot study.

Purpose: To investigate which scoring system is the most accurate tool in predicting mortality among the infected patients who present to the emergency department in a middle-income country, and to validate a new scoring system to predict bacterial infections.

Methods: This was a retrospective, single-center study among patients who were admitted via the emergency department of a public hospital. All patients who were started on antibiotics were included in the study, while patients aged < 18 years were excluded.

Incidence, Risk Factors, and Mortality From Hospital-Acquired Infections at a Hospital in Mauritius.

Introduction Hospital-acquired infections can be associated with an increase in morbidity, length of stay, and cost. Data on this topic are very limited in Mauritius. This study seeks to identify (a) the most prevalent hospital-acquired infection locally, (b) the risk factors for acquiring nosocomial infections, and (c) the mortality rate linked to such infections.

Impact of a Multimodal Improvement Strategy to Promote Hand Hygiene at a Hospital in Mauritius.

Introduction Limited data is available on which interventions are likely to improve compliance to hand hygiene, especially in underdeveloped countries. The objective of this study is to explore whether the introduction of a particular bundle of strategies to improve hand hygiene is effective. Material and methods In this pre-post study, a multimodal strategy comprised of educating healthcare staff, using reminders, providing feedback and increasing the availability of soap and alcohol, was implemented over a period of one year from 2019 to 2020.

Assessment of an automated surveillance system for detection of initial ventilator-associated events.

Surveillance for initial ventilator-associated events (VAEs) was automated and compared with nonautomated review of episodes of mechanical ventilation. Sensitivity, specificity, positive predictive value, and negative predictive value of automated surveillance were very high (>93%), and automated surveillance reduced the time spent on detection of VAEs by >90%.