Mathematical Modeling and Analysis of Factors Affecting Medical Errors in Emergency Department of Government Hospitals in Province X

Abstract

JCI established a standard for common medical errors in hospitals known as IPSG. This study focused on the emergency departments of government hospitals A to C and a private hospital D. The objective for this study is to know and determine which among the factors must be considered in constructing an emergency department (ED), which lessens medical errors, and to be able to create a mathematical model among the factors. This research used a combination of quantitative correlational research and quasi-experimental research. The data were tested for reliability using the Attribute Agreement Analysis (3A) method in MINITAB v.17 then it proceeded to factor analysis using SPSS, which yields the result of interdependence of the factors to each presence. SEM can be performed to see the partial correlation and multi collinearity of the variables. All of the measurements used were incorporated to create a mathematical model, which aims to analyze the factors. Among the three major factors that were cited, environmental-related (ER) factors ranked the highest correlativity to medical errors or International Patient Safety Goals (IPSGs) with a value of 0.82 versus the other factors of 0.59 and 0.68. Noise and illumination were the two highest contributors of medical errors from ER factors with a value of 0.93 and 0.82, respectively.