Breast cancer early detection: A phased approach to implementation

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...

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Vydané v:	Cancer Ročník 126; číslo S10; s. 2379 - 2393
Hlavní autori:	Ginsburg, Ophira, Yip, Cheng‐Har, Brooks, Ari, Cabanes, Anna, Caleffi, Maira, Dunstan Yataco, Jorge Antonio, Gyawali, Bishal, McCormack, Valerie, McLaughlin de Anderson, Myrna, Mehrotra, Ravi, Mohar, Alejandro, Murillo, Raul, Pace, Lydia E., Paskett, Electra D., Romanoff, Anya, Rositch, Anne F., Scheel, John R., Schneidman, Miriam, Unger‐Saldaña, Karla, Vanderpuye, Verna, Wu, Tsu‐Yin, Yuma, Safina, Dvaladze, Allison, Duggan, Catherine, Anderson, Benjamin O.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 15.05.2020
Predmet:	Breast cancer breast cancer early detection Breast Neoplasms - diagnosis Consensus Delivery of Health Care Developing Countries Diagnosis Early Detection of Cancer - economics Early Detection of Cancer - methods Female Global Health Health Plan Implementation - economics Health Plan Implementation - methods Humans metrics Oncology phased implementation Physical training Practice Guidelines as Topic resource stratification Socioeconomic Factors breast cancer metrics phased implementation breast cancer early detection resource stratification
ISSN:	0008-543X, 1097-0142, 1097-0142
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Abstract	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. Women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit her access to timely, affordable, and effective breast health care services. In this consensus manuscript, phases of an early detection program development are described, beginning with management strategies required for the diagnosis of clinically detectable disease, and core issues are described pertaining to successful planning, implementation, and the iterative process of program improvement needed for a breast cancer early detection program to succeed in any resource setting.
AbstractList	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. Women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit her access to timely, affordable, and effective breast health care services. In this consensus manuscript, phases of an early detection program development are described, beginning with management strategies required for the diagnosis of clinically detectable disease, and core issues are described pertaining to successful planning, implementation, and the iterative process of program improvement needed for a breast cancer early detection program to succeed in any resource setting. 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. 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.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. 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 inter-related factors, which can limit her access to timely, affordable, and effective breast health care services. Previously, the Breast Health Global Initiative (BHGI) developed resource-stratified guidelines for early detection and diagnosis of breast cancer. In this consensus paper from the 6th BHGI Global Summit held in October 2018, we 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. We address core issues, including 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. We present examples 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, as we consider the complex interplay of barriers and facilitators to achieving early detection for breast cancer in real world settings. Women in many settings face complex barriers to early detection, including social, economic, geographic and other inter-related factors, which can limit her access to timely, affordable, and effective breast health care services. Here, we present “phases” of early detection program development, beginning with management strategies required for the diagnosis of clinically detectable disease, and address core issues pertaining to successful planning, implementation and the iterative process of program improvement, needed for a breast cancer early detection program to succeed in any resource setting.
Author	Schneidman, Miriam Mohar, Alejandro Gyawali, Bishal Caleffi, Maira Unger‐Saldaña, Karla Mehrotra, Ravi Anderson, Benjamin O. Pace, Lydia E. Scheel, John R. Yip, Cheng‐Har Vanderpuye, Verna Dvaladze, Allison Rositch, Anne F. Brooks, Ari McCormack, Valerie Duggan, Catherine Murillo, Raul Cabanes, Anna Dunstan Yataco, Jorge Antonio Ginsburg, Ophira Romanoff, Anya Wu, Tsu‐Yin Paskett, Electra D. Yuma, Safina McLaughlin de Anderson, Myrna
AuthorAffiliation	20. Department of Global Health, University of Washington Seattle, WA, USA 17. Department of Surgery, Division of Surgical Oncology, Breast Surgery, The Icahn School of Medicine at The Mount Sinai Hospital, New York, NY, USA 26. University of Washington, Seattle, WA, USA 2. University of Malaya, Kuala Lumpur, Malaysia 15. Division of Women’s Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA 8. Department of Oncology, Department of Public Health Sciences and Division of Cancer Care and Epidemiology, Queen’s University, Kingston, Ontario, Canada 16. Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 21. Health, Nutrition and Population Global Practice, The World Bank Group 22. National Center for Oncology, Radiotherapy and Nuclear Medicine, Accra, Ghana 13. Centro Javeriano de Oncología – Hospital Universitario San Ignacio. Colombia 9. International Agency for Research on Cancer, Lyon, France 23. Center for Health Disparities Innova
AuthorAffiliation_xml	– name: 12. Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, UNAM, Mexico – name: 19. Dept. of Radiology, University of Washington, Seattle, WA, USA – name: 24. Dept. of Reproductive and Child Health, Ministry of Health, Community Development, Gender, Elderly & Children, Dodoma, Tanzania – name: 20. Department of Global Health, University of Washington Seattle, WA, USA – name: 13. Centro Javeriano de Oncología – Hospital Universitario San Ignacio. Colombia – name: 2. University of Malaya, Kuala Lumpur, Malaysia – name: 3. Ramsay Sime Darby Health Care Kuala Lumpur, Malaysia – name: 15. Division of Women’s Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA – name: 9. International Agency for Research on Cancer, Lyon, France – name: 7. Department of Breast, Skin and Soft Tissue Sarcomas Surgery Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru – name: 21. Health, Nutrition and Population Global Practice, The World Bank Group – name: 17. Department of Surgery, Division of Surgical Oncology, Breast Surgery, The Icahn School of Medicine at The Mount Sinai Hospital, New York, NY, USA – name: 18. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA – name: 10. Dept. of Nursing, University of Panama, Panama City, Panama – name: 14. Facultad de Medicina – Pontificia Universidad Javeriana, Colombia – name: 28. Departments of Surgery and Global Health Medicine, University of Washington, Seattle, Washington, USA – name: 8. Department of Oncology, Department of Public Health Sciences and Division of Cancer Care and Epidemiology, Queen’s University, Kingston, Ontario, Canada – name: 16. Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH – name: 23. Center for Health Disparities Innovation and Studies, Eastern Michigan University, MI, USA – name: 25. Breast Health Global Initiative, Fred Hutchinson Cancer Research Center, Seattle, WA, USA – name: 1. Perlmutter Cancer Center, Section for Global Health, Division of Health and Behavior, Department of Population Health, New York University Langone Health, NY, USA – name: 27. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA – name: 26. University of Washington, Seattle, WA, USA – name: 4. Dept. of Surgery, University of Pennsylvania, PA, USA – name: 11. India Cancer Research Consortium, Delhi, India – name: 6. Breast Center Hospital Moinhos de Vento Porto Alegre, Brazil – name: 22. National Center for Oncology, Radiotherapy and Nuclear Medicine, Accra, Ghana – name: 5. Susan G. Komen, Washington, DC, USA
Author_xml	– sequence: 1 givenname: Ophira orcidid: 0000-0002-1384-2675 surname: Ginsburg fullname: Ginsburg, Ophira email: ophira.ginsburg@nyulangone.org organization: New York University Langone Health – sequence: 2 givenname: Cheng‐Har orcidid: 0000-0002-6507-9675 surname: Yip fullname: Yip, Cheng‐Har organization: Ramsay Sime Darby Health Care – sequence: 3 givenname: Ari orcidid: 0000-0003-4328-7307 surname: Brooks fullname: Brooks, Ari organization: University of Pennsylvania – sequence: 4 givenname: Anna surname: Cabanes fullname: Cabanes, Anna organization: The Susan G. Komen Foundation – sequence: 5 givenname: Maira orcidid: 0000-0001-7108-5935 surname: Caleffi fullname: Caleffi, Maira organization: Moinhos de Vento Hospital – sequence: 6 givenname: Jorge Antonio orcidid: 0000-0002-4148-6858 surname: Dunstan Yataco fullname: Dunstan Yataco, Jorge Antonio organization: National Institute of Neoplastic Diseases – sequence: 7 givenname: Bishal orcidid: 0000-0001-7444-8594 surname: Gyawali fullname: Gyawali, Bishal organization: Queen's University – sequence: 8 givenname: Valerie surname: McCormack fullname: McCormack, Valerie organization: International Agency for Research on Cancer – sequence: 9 givenname: Myrna surname: McLaughlin de Anderson fullname: McLaughlin de Anderson, Myrna organization: University of Panama – sequence: 10 givenname: Ravi orcidid: 0000-0001-9453-1408 surname: Mehrotra fullname: Mehrotra, Ravi organization: India Cancer Research Consortium – sequence: 11 givenname: Alejandro surname: Mohar fullname: Mohar, Alejandro organization: National Autonomous University of Mexico – sequence: 12 givenname: Raul orcidid: 0000-0001-7187-9946 surname: Murillo fullname: Murillo, Raul organization: Pontifical Xavierian University – sequence: 13 givenname: Lydia E. orcidid: 0000-0002-5378-0296 surname: Pace fullname: Pace, Lydia E. organization: Brigham and Women's Hospital – sequence: 14 givenname: Electra D. orcidid: 0000-0002-0720-938X surname: Paskett fullname: Paskett, Electra D. organization: The Ohio State University – sequence: 15 givenname: Anya surname: Romanoff fullname: Romanoff, Anya organization: Icahn School of Medicine at The Mount Sinai Hospital – sequence: 16 givenname: Anne F. orcidid: 0000-0002-0403-8482 surname: Rositch fullname: Rositch, Anne F. organization: Johns Hopkins Bloomberg School of Public Health – sequence: 17 givenname: John R. orcidid: 0000-0002-0998-0098 surname: Scheel fullname: Scheel, John R. organization: University of Washington – sequence: 18 givenname: Miriam surname: Schneidman fullname: Schneidman, Miriam organization: The World Bank Group – sequence: 19 givenname: Karla orcidid: 0000-0002-9689-498X surname: Unger‐Saldaña fullname: Unger‐Saldaña, Karla organization: National Cancer Institute – sequence: 20 givenname: Verna orcidid: 0000-0003-3656-6965 surname: Vanderpuye fullname: Vanderpuye, Verna organization: National Center for Oncology, Radiotherapy, and Nuclear Medicine – sequence: 21 givenname: Tsu‐Yin orcidid: 0000-0003-0751-8884 surname: Wu fullname: Wu, Tsu‐Yin organization: Eastern Michigan University – sequence: 22 givenname: Safina surname: Yuma fullname: Yuma, Safina organization: Ministry of Health, Community Development – sequence: 23 givenname: Allison surname: Dvaladze fullname: Dvaladze, Allison organization: University of Washington – sequence: 24 givenname: Catherine orcidid: 0000-0001-7369-4021 surname: Duggan fullname: Duggan, Catherine organization: Fred Hutchinson Cancer Research Center – sequence: 25 givenname: Benjamin O. orcidid: 0000-0001-7217-7428 surname: Anderson fullname: Anderson, Benjamin O. organization: University of Washington
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Snippet	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...
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SubjectTerms	Breast cancer breast cancer early detection Breast Neoplasms - diagnosis Consensus Delivery of Health Care Developing Countries Diagnosis Early Detection of Cancer - economics Early Detection of Cancer - methods Female Global Health Health Plan Implementation - economics Health Plan Implementation - methods Humans metrics Oncology phased implementation Physical training Practice Guidelines as Topic resource stratification Socioeconomic Factors
Title	Breast cancer early detection: A phased approach to implementation
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