Developing a Dashboard Software for the ICUs and Studying its Impact on Reducing the Ventilator-Associated Pneumonia
Mohammad Fathi1, Hamid Moghaddasi*, 2, Azamossadat Hosseini3, Monir Ebrahimi Aghdam4
1 Anesthesiology Department, Faculty of Medicine, Shahid Behashti University of Medical Sciences, Tehran, Iran
2 Associate Professor of Health Information Management & Medical Informatics, Department of Health Information Technology and Management, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Department of Health Information Technology and Management, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 Student of Medical Informatics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences Tehran, Iran
Ventilator-Associated Pneumonia (VAP), a lung infection developing in patients on a ventilator in Intensive Care Units (ICU), is the second most common nosocomial infection and a leading cause of morbidity and mortality in ICUs. To reduce the incidence rate of VAP complication, many healthcare organizations have already developed certain strategies and guidelines. However, there are still high rates of VAP infections mainly due to: conflicting guidelines from different sources, implementing the guidelines at different times and conditions, different ICU caregivers at different shifts, and of course the human mistakes.
The present study aimed to develop a dashboard to help reducing VAP incidences in ICUs. To achieve the objective of the research, first, the VAP prevention guidelines were compiled. The object-oriented analysis approach was adopted for designing of the dashboard software. To assess the impact of the developed dashboard on the reduction of VAP events, a pilot hospital was selected and a pilot project was prepared. For the dashboard usability assessment based on user satisfaction, a questionnaire was developed as the survey tool.
The dashboard was developed and put into operation in a pilot ICU. The results from the t-test (with a probable error of 0.05 percent) indicated a meaningful difference between the number of VAP patients before and after the dashboard implementation with p-value ˂ 0.02. Also, the developed software was evaluated from a usability point of view based on user satisfaction, with health professionals and caregivers of the pilot ICU as the users of the software. The total score was equivalent to 95 percent, falling within the acceptable range of 75-100 percent.
Keywords: Ventilator, Pneumonia, Ventilator-Associated Pneumonia (VAP), Dashboard software, Intensive Care Unit (ICU).
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
* Address correspondence to this author at the Department of Health Information Technology and Management, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Tel: 982122747373, Fax: 982122715150; E-mail: Moghaddasi@sbmu.ac.ir