Breast cancer early detection: A phased approach to implementation

医学 乳腺癌 医疗保健 乳腺癌筛查 乳腺摄影术 癌症 经济增长 内科学 经济
作者
Ophira Ginsburg,Cheng‐Har Yip,Ari D. Brooks,Anna Cabanes,Maira Caleffi,Jorge Antonio Dunstan Yataco,Bishal Gyawali,Valerie McCormack,Myrna McLaughlin de Anderson,Ravi Mehrotra,Alejandro Mohar,Raúl 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,Benjamin O. Anderson
出处
期刊:Cancer [Wiley]
卷期号:126 (S10): 2379-2393 被引量:236
标识
DOI:10.1002/cncr.32887
摘要

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.

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