April 29, 2020

✪ Breast cancer early detection: A phased approach to implementation


Ophira Ginsburg, Cheng‐Har Yip, Ari Brooks, Anna Cabanes, Maira Caleffi, Jorge Antonio, Dunstan Yataco, Bishal Gyawali, Valerie McCormack, Myrna McLaughlin de Anderson, Ravi Mehrotra, Alejandro Mohar, Raul Murillo, Lydia E. Pace, Electra D. Paskett, Anya Romanoff, Anne F. Rositch, John R. Scheel, Miriam Schneidman, Karla Unger‐Saldaña, Verna Vanderpuye, Tsu‐Yin Wu, Safina Yuma, Allison Dvaladze, Catherine Duggan, and Benjamin O. Anderson

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: April 2020

Read the full text in the open access journal Cancer


When breast cancer is detected and treated early, the chances of survival are very high. However, women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit their access to timely, affordable, and effective breast health care services. Previously, the Breast Health Global Initiative (BHGI) developed resource‐stratified guidelines for the early detection and diagnosis of breast cancer.

In this consensus article from the sixth BHGI Global Summit held in October 2018, the authors describe phases of early detection program development, beginning with management strategies required for the diagnosis of clinically detectable disease based on awareness education and technical training, history and physical examination, and accurate tissue diagnosis. The core issues address include finance and governance, which pertain to successful planning, implementation, and the iterative process of program improvement and are needed for a breast cancer early detection program to succeed in any resource setting.

Examples are presented of implementation, process, and clinical outcome metrics that assist in program implementation monitoring. Country case examples are presented to highlight the challenges and opportunities of implementing successful breast cancer early detection programs, and the complex interplay of barriers and facilitators to achieving early detection for breast cancer in real‐world settings are considered.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**