Study on Patient and Nurse Contact Times Using Beacons and Smart Devices

Abstract

　In this study, ICT tools were used to investigate the contact time between patients and nurses longitudinally. The subjects were 40 patients admitted to hospital A. The purpose of this study was to clarify the characteristics and relationships of the 3 variables “contact time of the day”, “contact time of the next day”, and “change in contact time”. In the analysis, descriptive statistics were calculated, and the relationship between variables was analyzed by univariate regression analysis. As a result, it was suggested that the distribution of “change in contact time” shows a normal distribution and is suitable for the objective variable in the general linear model. In the regression analysis, the odds ratio was 1.05 in a univariate logistic regression analysis that predicts “contact time of the next day” by “contact time of the day”. In addition, the rate of explanation was 30％ in a single regression analysis that predicts “change in contact time” by “contact time of the day”. From the result, it was indicated that the contact time of the day was an important element for predicting the change of contact time and contact time of the next day.