Although the literature has associated demand factors, such as geodemographics, with healthcare service utilization, little is known about how these factors—such as the population size, age profile, service accessibility, and educational profile—interact to influence service utilization, and thus indirectly affect wait times. This chapter presents a case study that employs the SEM-based analysis method to explore whether certain demand factors, i.e., population size, age profile, service accessibility, and educational profile, have direct or moderating effects on service utilization in cardiac care services in Ontario, Canada.
|Title of host publication||Healthcare Service Management: A Data-Driven Systems Approach|
|Editors||Li Tao, Jiming Liu|
|Number of pages||15|
|Publication status||Published - 9 May 2019|
|Name||Health Information Science|