Evidence Hub

Knowledge and Its Associated Factors Related Ventilator Associated Pneumonia Among Intensive Care Nurses: Cross-sectional Study in Southern Province of Sri Lanka

P. A. D. K. Gunasekara, K. Gunawardhana, K. G. I. Akalanki, P. D. De Silva, K. Sriyani

PROCEEDINGS OF THE SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES [SICASH], 2024

Abstract

This study aimed to assess knowledge and its associated factors on ventilator-associated pneumonia (VAP) among intensive care nurses. This descriptive cross-sectional study included 164 nurses who worked in intensive care units. Data were collected through a content-validated, pretested self- administered questionnaire. It included participants’ socio-demographic information and knowledge- assessing questions. Descriptive statistics, the Mann–Whitney U-test, and the Kruskal–Wallis test were performed. Significance was accepted at alpha < 0.05. The sample was female predominant and included more undergraduate and graduate nurses than diploma nurses. The overall knowledge of VAP among nurses ranged from 82.92 to 14.86, with 75% of them achieving a score above 80%. Nurses’ knowledge of VAP was associated with their age, professional qualifications, and experiences in nursing service and intensive care units (p < 0.05). Nurses had satisfactory knowledge of VAP. However, gaps exist. Nurses’ knowledge is associated with their on-the-job training and professional qualifications. Keywords: ventilator associated pneumonia; intensive care nurses; knowledge; factors

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free