Modeling the impact of social determinants on breast cancer screening: a data-driven approach
Our model provides healthcare systems with a data-driven approach to understanding and addressing how SDoH shape mammogram screening behaviors, particularly among rural populations. This framework offers valuable guidance for healthcare providers to better understand and improve patients' screening behaviors through targeted, evidence-based interventions.
Authors
- Jiazuo H. Feng (ORCID: https://orcid.org/0000-0002-6974-2956)
- Anna N.A. Tosteson (ORCID: https://orcid.org/0000-0001-7718-8943)
- Guofang Ma (ORCID: https://orcid.org/0000-0002-9076-7250)
- Wesley J. Marrero (ORCID: https://orcid.org/0000-0002-7092-2292)
- Christine M. Gunn (ORCID: https://orcid.org/0000-0003-3340-2834)
- Sally A Kraft (ORCID: https://orcid.org/0000-0002-1351-0312)
- Roberta M. diFlorio‐Alexander (ORCID: https://orcid.org/0000-0003-0589-8158)
- Jiahui Luo (ORCID: https://orcid.org/0009-0006-7800-2577)
- M.F. Scully
Institutions
- Dartmouth College (US)
- Dartmouth Institute for Health Policy and Clinical Practice (US)
- Dartmouth–Hitchcock Medical Center (US)
- Dartmouth Psychiatric Research Center (US)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3389/fmed.2025.1644287
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00