We only had data available for breast cancer mortality, and therefore, associations related to breast cancer incidence cannot be drawn from this project.

The data used to analyze trends was at the population-, city-, and census-tract level. Therefore, conclusions at the individual-level cannot be drawn from this project.

We only had data on our breast cancer mortality outcome at the city level.

Even though we conducted an analysis using census-tract level data in New York City, findings from our study may not be generalizable to other U.S. cities that vary in terms of population demographics, state and local policies, and programs and interventions.

Limitations related to spatial transformations (for the national maps and NYC map) of the data within the R Shiny app interface restricted the availability of some features, namely click or hover features. For example, we hoped to include the map of mammography facilities within NYC and offer users to option to click on a point to find the information of that specific facility; however, due to limitations from the spatial transformation, this was not possible.

Data stratified by race/ethnicity was not available for all variables in the dataset, and therefore, only a select few were available for the stratified visualizations.

Neighborhood-level data might provide a better glimpse at trends relating to demographic, socioeconomic, and health characteristics.

A deep dive into multiple cities of varying characteristics would be important to fully contextualize the transportability of the trends we observed within New York City and understand better how trends vary in different geographic regions nationally.

It would be interesting to investigate whether any factors or trends observed are associated with distance to mammographic facilities.