Utility, Limitations and Opportunities for Using Linked Health Administrative Data to Study Homelessness in Ontario

Abstract

Homelessness is a significant social issue within Canada but is difficult to quantify at the population level. In this paper, we discuss the development and use of a case ascertainment algorithm that identifies people experiencing homelessness through health administrative data. We highlight the appropriateness of various uses of this method given its key strengths and limitations. Finally, we discuss plans to improve this methodology and broaden its use through the addition of linkable administrative data from non-health sectors, such as emergency shelters and social services organizations.