COMPARISON OF ITEM AND UNIT NONRESPONSE IN HOSPITAL SURVEY

Abstract

The research work addresses three objectives. First, use Logistic regression model to predict unit non response in hospital survey, second, the relationship between item and unit non-response in Hospital survey. Thirdly, determine the proportion of unit and items nonresponse in hospital survey. Binary logistic regression model was used to model the outcome of item and unit non-response with respect to demographic variables such as age, gender, and marital status, and educational level, occupation status while diagnosis and operation are sensitive variables. A set of 662 patients records was extracted at Ekiti State University Teaching Hospital, Ado – Ekiti (EKSUTH), 241 were inpatients represent 36.4% of the distribution while 421 were outpatients which also represent 63.6% of the total observation. Also, the research work was investigated and it validated the claims from literature review. It was discovered that some of the independent variable items has statistically significant effect on the model why some does not have significant effect on it. (R2=0.738) indicating a moderate strong relationship of 73.8% between the unit and item nonresponse. Comparison of Results of Logistic Regression Analyses model using the Unit nonresponse (outpatients and inpatients) as dependent variable and age, gender, education etc. as explanatory variables was fitted to set of 662 observations.