Patient Satisfaction Research of Townships Hospitals in Cold Region of China Based on Structural Equation Modeling

• Published in: 2017 International Conference on Management Science and Engineering (ICMSE) pp. 701 - 707
• Main Authors: Yue, Wu, Shui-Shan, Zhao, Wen-Zhong, Zheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2017
• Subjects: Analytical models; Cold area; Fitting; Hospitals; Indexes; Mathematical model; Patient satisfaction; Structural equation; Temperature measurement; Township medical institutions
• ISSN: 2155-1855
• DOI: 10.1109/ICMSE.2017.8574380

Medical resources are an important part of the basic public service facilities. For a long time, China's medical resources have been highly concentrated in cities, yet the medical service supply is relatively insufficient in rural areas. In the research, investigate the patients of 15 medical and health institutions of township level in cold areas through questionnaires, and reveal the influence factors on patient satisfaction. Conduct factor analysis for handling the influence factors on patient satisfaction through SPSS20.2, and adopt structural equation model to build the route to influence patient satisfaction through AMOS21.0. Sum up five common factors, including conditions of medical institutions, doctor service, nurse service, patient institutions and patient satisfaction. It is good in fitting of structural equation model. Conditions of medical institutions and doctor service have greater influence on patient satisfaction, and nurse service and patient information have relatively less influence. And it is strong in the correlation between conditions of medical institutions, doctor service and nurse service. The results indicate that the residents in towns and villages pay the most attention to the reputation of hospitals, the quality of medical staff, medical expenses, equipment and drugs. Advise grassroots hospitals to strengthen the conditions and construction of service abilities of health clinics in towns and townships, increase the proportion of essential drugs and adjust the compensation standard of NCMS so that it can attract the patients to go to health clinics in towns and townships through the advantages in price. Optimize human resource structure in medical institutions and consolidate the guidance of doctors in health seeking behaviors of residents.