Estimated Mammogram Rates in the LVHN Six County Contiguous Area (Females 50 Plus)

Mammogram Incidence – LVHN Six County Contiguous Area (2015 Est.)

Right clicking on each map will bring up a dialogue box. Left click on “Open in new tab” and a full-screen view of the map with be generated. This map can be used to zoom-in and zoom-out on the data.

All incidence rates calculated and used in this analysis are estimated, based on the methodology described below.

This map represents the six contiguous counties where LVHN inpatient facilities are. The incidence rate of mammography calculated for each county, by block group. Each county is grouped thematically by quartile on a county by county basis. Cluster analysis indicated statistically significant groupings of block groups with concentrations of high rates and low rates for Lehigh, Luzerne, and Northampton Counties. The distribution of rates of mammography was random in Carbon, Monroe, and Schuylkill Counties.

Data Source: Rates were derived using the following files: B01001  (Sex and Age) and B27010 (Payer type by Age) from US Census ACS 5Yr 2011 -2015 and Table 70 from Health, United States, 2016.

Lehigh County

This map represents the incidence of mammography for Lehigh County by Block Group. These rates were derived using the following files: B01001  (Sex and Age) and B27010 (Payer type by Age) from US Census ACS 5Yr 2011 -2015 and Table 70 from Health, United States, 2016.  The lower rates are located predominantly in and around the center of Allentown, city. The low values (red) follow the same pattern of distribution as the lower incidence rates for mammograms. 

The center of Allentown would be a suggested starting point in addressing interventions to increase rates of mammography across the county. Click on the map to open a larger image than to Zoom – In/Out: left click on the map and use the scroll wheel to zoom in and out.

Optimized Hot Spot Analysis

Given incident points or weighted features (points or polygons), creates a map of statistically significant hot and cold spots using the Getis-Ord Gi* statistic. It evaluates the characteristics of the input feature class to produce optimal results. Block groups are weighted by the incidence of mammograms. The lower value clusters are indicated in red.

Luzerne County

This map represents the incidence of mammography for Luzerne County by Block Group. These rates were derived using the following files: B01001  (Sex and Age) and B27010 (Payer type by Age) from US Census ACS 5Yr 2011 -2015 and Table 70 from Health, United States, 2016.  The lower rates are located predominantly in and around the Wilkes Barre, city and Hazleton, city. The next map of Luzerne County displays statistically significant clusters of high and low values. The low values (red) follow the same pattern of distribution as the lower incidence rates for mammograms.

The center of the cities, referenced above, would be a suggested starting point in addressing interventions to increase rates of mammography across the county. Click on the map to open a larger image than to Zoom – In/Out: left click on the map and use the scroll wheel to zoom in and out.

Optimized Hot Spot Analysis

Given incident points or weighted features (points or polygons), creates a map of statistically significant hot and cold spots using the Getis-Ord Gi* statistic. It evaluates the characteristics of the input feature class to produce optimal results. Block groups are weighted by the incidence of mammograms.  The lower value clusters are indicated in red.

Northampton County

This map represents the incidence of mammography for Northampton County by Block Group. These rates were derived using the following files: B01001  (Sex and Age) and B27010 (Payer type by Age) from US Census ACS 5Yr 2011 -2015 and Table 70 from Health, United States, 2016. The lower rates are located predominantly in and around Pen Argyl, Bethlehem, and Easton, cities. The next map of Northampton County displays statistically significant clusters of high and low values.  The low values (red) follow the same pattern of distribution as the lower incidence rates for mammograms. 

The center of, the cities referenced above, would be a suggested starting point in addressing interventions to increase rates of mammography across the county. Click on the map to open a larger image than to Zoom – In/Out: left click on the map and use the scroll wheel to zoom in and out.

Optimized Hot Spot Analysis

Given incident points or weighted features (points or polygons), creates a map of statistically significant hot and cold spots using the Getis-Ord Gi* statistic. It evaluates the characteristics of the input feature class to produce optimal results. Block groups are weighted by the incidence of mammograms. The lower value clusters are indicated in red.

Carbon County

Incidence rates are classified by quartile. There were no discernible statistically significant clusters of mammogram incidence in Carbon County.  Further, an in-depth analysis may be beneficial in developing a strategy to reach community members who meet screening requirements but fail to follow through with radiography.

Monroe County

Incidence rates are classified by quartile. There were no discernible statistically significant clusters of mammogram incidence in Monroe County.  Further, an in-depth analysis may be beneficial in developing a strategy to reach community members who meet screening requirements but fail to follow through with radiography.

Schuylkill County

Incidence rates are classified by quartile. There were no discernible statistically significant clusters of mammogram incidence in Schuylkill County Further, an in-depth analysis may be beneficial in developing a strategy to reach community members who meet screening requirements but fail to follow through with radiography.