Correlation analysis of individual differences in patient satisfaction survey: based on data from 25 hospitals
10.3760/cma.j.issn.1000-6672.2019.11.018
- VernacularTitle: 患者满意度调查的个体差异相关分析：基于25所医院数据
- Author:
Chang LIU
1
;
Dan WANG
2
Author Information
1. Institute of Hospital Management, Applied Economics College, Renmin University of China, Beijing 100872, China
2. National Academy of Development and Strategy, Management Research Center, Renmin University of China, Beijing 100872, China
- Publication Type:Journal Article
- Keywords:
Patient satisfaction;
Individual difference;
Influencing factors;
Correlation analysis
- From:
Chinese Journal of Hospital Administration
2019;35(11):957-960
- CountryChina
- Language:Chinese
-
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<0.01, and Exp (b) = 0.54<1]; in the education variable, compared with the patients with higher education, the patients with lower education were more likely to be satisfied with the inpatient service [P<0.05, and Exp (b) = 1.44>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.
