Probability Distribution Fitting And Descriptive Statistics Analysis Of Patients Length Of Stay In The Hospital (A Case Study Of Mchael Okpara University Of Agriculture Medical Centre, Umudike):- John Ada I

ABSTRACT

 This study geared to fit a probability distribution and regression model on the length of stay of patients in the hospital using Michael Okpara llniver.\ity of Agriculture as a case study. Length of stay at a hospital contains important information in health statistics irrespective of the fact whether the patient is insured or not. A longer stay may result in resource restrictions with regard to the availability of beds at hospitals. Some of the determinants of length of stay cre the demographic characteristics and hospital characteristics. In this study, AJ:e, sex and types of diseases were considered as determinants of length of stay of patients. The data collected was analyzed using descriptive statistics, Q-Q plots an.l OLS regression analysis. The result of analyses showed that the data seem lo follow lognorma/ distribution rather than exponential and ~amma distrihu1ton.r. Age, sex and diseases type was not a determining factor of length of stay considen:,K the study area. Hence, a repetitive study using the variables is suggested to he mean ingfu/.