Breast cancer early detection: A phased approach to implementation

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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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Detalles Bibliográficos
Autores: Ginsburg, O, Yip, CH, Brooks, A, Cabanes ACaleffi, M, Dunstan Yataco, JA, Gyawali, B, McCormack, V, McLaughlin de Anderson, M, Mehrotra, R, Mohar, A, Murillo, R, Pace, LE, Paskett, ED, Romanoff, A, Rositch, AF, Scheel, JR, Schneidman, M, Unger-Saldaña, K, Vanderpuye, V, Wu, TY, Yuma, S, Dvaladze, A, Duggan, C, Anderson, BO
Formato: artículo
Fecha de Publicación:2020
Institución:Instituto Nacional de Enfermedades Neoplásicas
Repositorio:INEN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.inen.sld.pe:20.500.14703/110
Enlace del recurso:https://hdl.handle.net/20.500.14703/110
Nivel de acceso:acceso abierto
Materia:breast cancer
breast cancer early detection
metrics
phased implementation
resource stratification
https://purl.org/pe-repo/ocde/ford#3.02.21
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spelling PublicationGinsburg, OYip, CHBrooks, ACabanes ACaleffi, MDunstan Yataco, JAGyawali, BMcCormack, VMcLaughlin de Anderson, MMehrotra, RMohar, AMurillo, RPace, LEPaskett, EDRomanoff, ARositch, AFScheel, JRSchneidman, MUnger-Saldaña, KVanderpuye, VWu, TYYuma, SDvaladze, ADuggan, CAnderson, BO2024-07-01T16:28:47Z2024-07-01T16:28:47Z202010.1002/cncr.32887https://hdl.handle.net/20.500.14703/110CancerWhen 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.application/pdfengJohn Wiley and Sons Inc.USinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/breast cancerbreast cancer early detectionmetricsphased implementationresource stratificationhttps://purl.org/pe-repo/ocde/ford#3.02.21Breast cancer early detection: A phased approach to implementationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:INEN-Institucionalinstname:Instituto Nacional de Enfermedades Neoplásicasinstacron:INENORIGINALO Ginsburg 2020.pdfapplication/pdf783952https://repositorio.inen.sld.pe/backend/api/core/bitstreams/247e3043-7bba-401e-b8c0-bc8d146724c7/download572e95c706a21b38842e5f0bd1938779MD51trueAnonymousREADTEXTO Ginsburg 2020.pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-03-29T20:41:56Z (GMT).Extracted texttext/plain82852https://repositorio.inen.sld.pe/backend/api/core/bitstreams/2d01157d-b327-4673-b621-4815f53ea10d/download4f4ac3a2427baa6d7f116159eaa2d003MD54falseAnonymousREADTHUMBNAILO Ginsburg 2020.pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-03-29T20:41:56Z (GMT).Generated Thumbnailimage/jpeg45203https://repositorio.inen.sld.pe/backend/api/core/bitstreams/8cdc14b5-d620-4a1f-aa9e-561445a96f1a/download10eddd08cdc3daa8b5ac54c21d67bec7MD55falseAnonymousREAD20.500.14703/110oai:repositorio.inen.sld.pe:20.500.14703/1102026-02-15T21:30:32.945Zhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inen.sld.peRepositorio del Instituto Nacional de Enfermedades Neoplásicasrepositorio@inen.sld.pe
dc.title.none.fl_str_mv Breast cancer early detection: A phased approach to implementation
title Breast cancer early detection: A phased approach to implementation
spellingShingle Breast cancer early detection: A phased approach to implementation
Ginsburg, O
breast cancer
breast cancer early detection
metrics
phased implementation
resource stratification
https://purl.org/pe-repo/ocde/ford#3.02.21
title_short Breast cancer early detection: A phased approach to implementation
title_full Breast cancer early detection: A phased approach to implementation
title_fullStr Breast cancer early detection: A phased approach to implementation
title_full_unstemmed Breast cancer early detection: A phased approach to implementation
title_sort Breast cancer early detection: A phased approach to implementation
author Ginsburg, O
author_facet Ginsburg, O
Yip, CH
Brooks, A
Cabanes ACaleffi, M
Dunstan Yataco, JA
Gyawali, B
McCormack, V
McLaughlin de Anderson, M
Mehrotra, R
Mohar, A
Murillo, R
Pace, LE
Paskett, ED
Romanoff, A
Rositch, AF
Scheel, JR
Schneidman, M
Unger-Saldaña, K
Vanderpuye, V
Wu, TY
Yuma, S
Dvaladze, A
Duggan, C
Anderson, BO
author_role author
author2 Yip, CH
Brooks, A
Cabanes ACaleffi, M
Dunstan Yataco, JA
Gyawali, B
McCormack, V
McLaughlin de Anderson, M
Mehrotra, R
Mohar, A
Murillo, R
Pace, LE
Paskett, ED
Romanoff, A
Rositch, AF
Scheel, JR
Schneidman, M
Unger-Saldaña, K
Vanderpuye, V
Wu, TY
Yuma, S
Dvaladze, A
Duggan, C
Anderson, BO
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ginsburg, O
Yip, CH
Brooks, A
Cabanes ACaleffi, M
Dunstan Yataco, JA
Gyawali, B
McCormack, V
McLaughlin de Anderson, M
Mehrotra, R
Mohar, A
Murillo, R
Pace, LE
Paskett, ED
Romanoff, A
Rositch, AF
Scheel, JR
Schneidman, M
Unger-Saldaña, K
Vanderpuye, V
Wu, TY
Yuma, S
Dvaladze, A
Duggan, C
Anderson, BO
dc.subject.none.fl_str_mv breast cancer
breast cancer early detection
metrics
phased implementation
resource stratification
topic breast cancer
breast cancer early detection
metrics
phased implementation
resource stratification
https://purl.org/pe-repo/ocde/ford#3.02.21
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.21
description 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.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-07-01T16:28:47Z
dc.date.available.none.fl_str_mv 2024-07-01T16:28:47Z
dc.date.issued.fl_str_mv 2020
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dc.identifier.doi.none.fl_str_mv 10.1002/cncr.32887
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.14703/110
dc.identifier.journal.none.fl_str_mv Cancer
identifier_str_mv 10.1002/cncr.32887
Cancer
url https://hdl.handle.net/20.500.14703/110
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv John Wiley and Sons Inc.
dc.publisher.country.none.fl_str_mv US
publisher.none.fl_str_mv John Wiley and Sons Inc.
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