Modeling for Change of Daily Nurse Calls After Surgery in an Orthopedics Ward Using Bayesian Statistics

Nurse call data may be used to evaluate the quality of nursing. However, traditional frequency-based statistics not easily apply nurse calls due large individual variability and daily changes. We intended propose a probabilistic modeling based on Bayesian statistics. constructed model including changes, variability, adjustment according characteristics (age sex). differences after surgery were analyzed from orthopedic ward April 2014 October 2017. Results show that there in day 1 10 between patients who had undergone those other surgeries such as tumor surgery. Furthermore, 8 extra pain relief medicine did not. Although analysis required multiple comparisons regarding changes fixed samples per day, our approach using could detect periods significant differences. This indicates analyze