Patient satisfaction surveys are gaining in importance and should be at the heart of any healthcare facility. It's valuable to get a holistic view of what patients really think about the care and treatment they receive. Patient satisfaction can be measured by methods based on latent variables, i.e., variables that are not directly observed but deducted from mathematical analysis. Those methods include the partial least squares (PLS) path modelling aimed at defining optimal linear relations among latent variables in order to assemble the best set of predictions. Aim of this paper is show an application of patient satisfaction survey made on the Department of Day Surgery of the Caserta' Hospital.

PLS path modelling for the evaluation of patients' satisfaction of a department

Maria Gabriella Grassia;Roberto Galasso;
2015

Abstract

Patient satisfaction surveys are gaining in importance and should be at the heart of any healthcare facility. It's valuable to get a holistic view of what patients really think about the care and treatment they receive. Patient satisfaction can be measured by methods based on latent variables, i.e., variables that are not directly observed but deducted from mathematical analysis. Those methods include the partial least squares (PLS) path modelling aimed at defining optimal linear relations among latent variables in order to assemble the best set of predictions. Aim of this paper is show an application of patient satisfaction survey made on the Department of Day Surgery of the Caserta' Hospital.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/742063
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