Leveraging geospatial data to support an implementation science approach to address lung cancer burden

Area of Science:

• Public Health
• Implementation Science
• Geospatial Analysis

Background:

• Philadelphia exhibits a lung cancer mortality rate 16% higher than the national average.
• Effective tobacco treatment programs are crucial for cancer prevention efforts.

Purpose of the Study:

• To adapt the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework into a geospatial format.
• To support targeted and sustainable public health initiatives through spatial mapping.

Main Methods:

• Utilized a comprehensive tobacco treatment program at Fox Chase Cancer Center as a case study.
• Adapted the RE-AIM framework dimensions into a geospatial format, generating maps for each dimension.
• Applied implementation science principles to program adaptation and delivery.

Main Results:

• Geospatial RE-AIM framework maps identify intervention target areas (Reach).
• Maps illustrate program service delivery extent (Effectiveness) and partnership opportunities (Adoption).
• Maps highlight contextual factors for delivery (Implementation) and long-term integration strategies (Maintenance).

Conclusions:

• The geospatial RE-AIM framework provides a visual tool for optimizing public health interventions.
• This approach facilitates targeted, data-driven strategies for sustainable smoking cessation programs.
• Spatial mapping enhances the identification of needs and opportunities for cancer prevention initiatives.