and those found in the US. Additionally, the survey can be applied to nursing professionals and/or quality management so that their perceptions of the CE/BMET duties can be used to overcome any misconceptions. the nursing Future However, this study is novel in that the BMET profession’s symbiotic interaction professional with professional fills a gap in scientific literature on level. applications of the study include international BMET population studies and Analysis of Variance (ANOVA) studies between international results and those found in the US. Additionally, the survey can be applied to nursing professionals and/or quality management so that their perceptions of the CE/BMET duties can be used to overcome any misconceptions. However, this study is novel in that the BMET profession’s interaction with the nursing professional fills a gap in scientific literature on symbiotic professional relationships in healthcare (D’Amour et al., 2005). There are several implications from the results of this study that can benefit multiple stakeholders in the hospital environment of care. They include regulatory bodies (e.g., The Joint Commission (TJC), Agency for Healthcare Research & Quality (AHRQ), National Fire Protection Association (NFPA)), hospital administrators, clinicians, nurses, as well as administrative professionals—infection
control, patient safety, risk management, and clinical engineering. Methodology Structural Equation Modeling (SEM) with Confirmatory Factor and Path Analysis, a versatile structural whether variables multivariate relationships the are approach among to the the study measurement of latent variables and the variables (Wan, 2002), is used to determine exogenous causally (dependent) statistics (independent) to the This the three variables. that tests among related
endogenous correlational hypothesized
research method is a form of multivariate relationships
component factors of the theoretical S-P-O model. This technique uses two statistical analyses. First, Confirmatory Factor Analysis (CFA) evaluates the validity of the indicators associated with the underlying theoretical constructs. Second, multivariate analysis of the structural relationships among the study variables provides support of a theoretically specified framework able to support conclusions for improving the quality of care. This methodology was selected for two primary reasons, 1) the combined process of CFA and SEM provides the researcher with the ability to eliminate factors that are not statistically s ignificant, and 2) the final data