Literature DB >> 23887672

The Athena Breast Health Network: developing a rapid learning system in breast cancer prevention, screening, treatment, and care.

Sarah L Elson1, Robert A Hiatt, Hoda Anton-Culver, Lydia P Howell, Arash Naeim, Barbara A Parker, Laura J Van't Veer, Michael Hogarth, John P Pierce, Robert J Duwors, Kathy Hajopoulos, Laura J Esserman.   

Abstract

The term breast cancer covers many different conditions, whose clinical course ranges from indolent to aggressive. However, current practice in breast cancer prevention and care, and in breast cancer epidemiology, does not take into account the heterogeneity of the disease. A comprehensive understanding of the etiology and progression of different breast cancer subtypes would enable a more patient-centered approach to breast health care: assessing an individual's risk of getting specific subtypes of the disease, providing risk-based screening and prevention recommendations, and, for those diagnosed with the disease, tailored treatment options based on risk and timing of progression and mortality. The Athena Breast Health Network is an initiative of the five University of California medical and cancer centers to prototype this approach and to enable the development of a rapid learning system-connecting risk and outcome information from a heterogeneous patient population in real time and using new knowledge from research to continuously improve the quality of care. The Network is based on integrating clinical and research processes to create a comprehensive approach to accelerating patient-centered breast health care. Since its inception in 2009, the Network has developed a multi-site, transdisciplinary collaboration that enables the learning system. The five-campus collaboration has implemented a shared informatics platform, standardized electronic patient intake questionnaires, and common biospecimen protocols, as well as new clinical programs and multi-center research projects. The Athena Breast Health Network can serve as a model of a rapid learning system that integrates epidemiologic, behavioral, and clinical research with clinical care improvements.

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Mesh:

Year:  2013        PMID: 23887672     DOI: 10.1007/s10549-013-2612-0

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  10 in total

1.  Quality of Posttreatment Care Among Breast Cancer Survivors in the University of California Athena Breast Health Network (Athena).

Authors:  Patricia A Ganz; Erin E Hahn; Laura Petersen; Michelle E Melisko; John P Pierce; Marlene Von Friederichs-Fitzwater; Karen T Lane; Robert A Hiatt
Journal:  Clin Breast Cancer       Date:  2016-05-14       Impact factor: 3.225

2.  Risk estimation, anxiety, and breast cancer worry in women at risk for breast cancer: A single-arm trial of personalized risk communication.

Authors:  Zhuoer Xie; Neil Wenger; Annette L Stanton; Karen Sepucha; Celia Kaplan; Lisa Madlensky; David Elashoff; Jacqueline Trent; Antonia Petruse; Liliana Johansen; Tracy Layton; Arash Naeim
Journal:  Psychooncology       Date:  2019-09-02       Impact factor: 3.894

3.  Contraceptive utilization and counseling among breast cancer survivors.

Authors:  Sheila Krishnan Mody; Jessica R Gorman; Lisa P Oakley; Tracy Layton; Barbara A Parker; Danielle Panelli
Journal:  J Cancer Surviv       Date:  2019-05-08       Impact factor: 4.442

4.  A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer.

Authors:  Nickolas Dreher; Madeline Matthys; Edward Hadeler; Yiwey Shieh; Irene Acerbi; Fiona M McAuley; Michelle Melisko; Martin Eklund; Jeffrey A Tice; Laura J Esserman; Laura J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2021-11-29       Impact factor: 4.624

5.  Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Authors:  Samuel G Finlayson; Mia Levy; Sunil Reddy; Daniel L Rubin
Journal:  J Biomed Inform       Date:  2016-02-02       Impact factor: 6.317

6.  Architectural frameworks: defining the structures for implementing learning health systems.

Authors:  Lysanne Lessard; Wojtek Michalowski; Michael Fung-Kee-Fung; Lori Jones; Agnes Grudniewicz
Journal:  Implement Sci       Date:  2017-06-23       Impact factor: 7.327

7.  Creating a provincial post COVID-19 interdisciplinary clinical care network as a learning health system during the pandemic: Integrating clinical care and research.

Authors:  Adeera Levin; Michelle Malbeuf; Alison M Hoens; Christopher Carlsten; Christopher J Ryerson; Alessandro Cau; Stirling Bryan; Jaclyn Robinson; Tamsin Tarling; Joanne Shum; Danielle C Lavallee
Journal:  Learn Health Syst       Date:  2022-05-15

8.  Elevated risk thresholds predict endocrine risk-reducing medication use in the Athena screening registry.

Authors:  Yash S Huilgol; Holly Keane; Yiwey Shieh; Robert A Hiatt; Jeffrey A Tice; Lisa Madlensky; Leah Sabacan; Allison Stover Fiscalini; Elad Ziv; Irene Acerbi; Mandy Che; Hoda Anton-Culver; Alexander D Borowsky; Sharon Hunt; Arash Naeim; Barbara A Parker; Laura J van 't Veer; Laura J Esserman
Journal:  NPJ Breast Cancer       Date:  2021-08-03

Review 9.  An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review.

Authors:  Jodyn E Platt; Minakshi Raj; Matthias Wienroth
Journal:  J Med Internet Res       Date:  2020-03-19       Impact factor: 5.428

10.  Scaling Beyond Early Adopters: a Content Analysis of Literature and Key Informant Perspectives.

Authors:  Isomi Miake-Lye; Selene Mak; Christine A Lam; Anne C Lambert-Kerzner; Deborah Delevan; Tanya Olmos-Ochoa; Paul Shekelle
Journal:  J Gen Intern Med       Date:  2020-10-27       Impact factor: 5.128

  10 in total

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