Abstract
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.
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Notes
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https://developers.google.com/maps/documentation/staticmaps/. Last accessed on April 11, 2019.
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http://www.ccn.on.ca/ccn_public/FormsHome/HomePage.aspx. Last accessed on April 11, 2019.
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http://www.smartpls.de/. Last accessed on April 11, 2019.
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Tao, L., Liu, J. (2019). Effects of Demand Factors on Service Utilization. In: Healthcare Service Management . Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-15385-4_3
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