In conclusion, there are significant relationships between mental health and addiction related hospitalizations, and emergency department visits and the 5 explanatory variables. This research indicates that the east side of Toronto is at a disadvantage, as mental health and addiction organizations are sparse and hospitals are very far away which indicates fragmentation of facilities. In addition, concentrations of resource facilities are found downtown, where yes the population is high but, not high enough to warrant the majority of facilities to be located within a few minutes of each other. Finally, there are very important mental health and addiction related relationships be to investigated in the Downtown area of Toronto. However, it can’t go unnoticed that in some of these downtown neighbourhoods the GWR model did not fit. As a result, for the neighbourhoods that did not fit the model, the results must be taken with a bit of skepticism but due to the overall excellent fit of the model in the majority of neighbourhoods the overall spatial patterns are certainly significant.

This research has a number of limitations including:

• The 5 variables investigated are likely only a small few of what may be related to mental health and addiction related hospitalizations and ED-visits
• Hospitals and mental health organizations were clipped to the boundary of Toronto, in locations where these facilities seem to be sparse it is possible that other facilities are in fact close by, but in the case of this research it is unknown (scale matters!)
• This research used 2016 census data, and Ontario Marginalization Index scores but employment data, debt risk scores, and housing prices were for the year 2011
• Dependant variables were inclusive of both sexes

Further research has the potential to look into several other explanatory variables and use data that is perhaps from more recent years to invesitgate spatial patterns that are more current. Additionally, accessibility to hospitals and mental health and addiction related organizations could be assessed though many different methodologies such as a more formal network analysis or a Two-Step Floating Catchment Method (2SFCA). Conducting a similar analysis at finer and broader scales may also aid in providing better insight into spatial phenomena at different scales.