Correlation analysis of individual differences in patient satisfaction survey: based on data from 25 hospitals

Abstract

Objective To find out whether there are differences in different types of patients′ perception of satisfaction, so as to measure more precisely. Methods From July to August 2017, 1 000 patients in 25 general hospitals were investigated for their satisfaction. Logistic regression was used to explore whether different individual characteristics (age, gender, education level, payment method, etc.) had different effects on satisfaction, and try to compare the differences and explain the reasons. Results Among the inpatients, the gender variable failed to pass the test, indicating that there was no statistical significance in the satisfaction of patients of different genders; in the age variable, compared with the elderly patients, the middle-aged patients were more likely to be dissatisfied [P 1]; in the payment method, compared with the free medical patients, the out-of-pocket patients, urban residents with medical insurance patients, and new rural cooperative medical patients were more likely to be dissatisfied with the inpatient service. Conclusions In the measurement of patients′ satisfaction, we should take the individual differences into account and treat the results objectively. Key words: Patient satisfaction; Individual difference; Influencing factors; Correlation analysis