Analysis of Influencing Factors of Medical Buildings on Patient Satisfaction

In recent years, China has continuously increased investment in the medical care field. The quality of medical care has a crucial effect on the physical health and people’s well-being and the environment of medical buildings is an important factor affecting the level of medical quality. Most of research on improving medical care quality has focused on medical staff’s personal service and hospital management while neglecting the impact of medical building environment on medical quality. There are some research on one-dimension of medical building environment, however systematical research is still fragmented. This study aims to develop a comprehensive measurement scale to evaluate the quality of medical building environment and test the impact of quality of medical building on the level of patients’ satisfaction. Based on literature review, six factors under building environment are identified: spatial perception, soundscape, temperature, humidity, ventilation, and lighting. Chongqing university hospital is selected as a case study. Questionnaire survey is used to collect data on patients’ perception on building environment of university hospital and satisfaction level. 122 valid questionnaires are collected. Based on regress analysis, it is found that patients' satisfaction with ventilation has the greatest impact on overall hospital satisfaction, followed by spatial perception, lighting and soundscape. An impressive finding is that temperature and humidity have an insignificant impact on overall hospital satisfaction. It can be inferred that there are two possible reasons. For one thing, the temperature and humidity range of the hospital stipulated by the national standard is roughly consistent with the comfortable range of people. For another, people in Chongqing area are insensitive to humidity and temperature. Therefore, it is suggested that the construction of the hospital should consider the local climate and the needs of the main population.