Kathryn A Martinez, Allison W Kurian, Sarah T Hawley, Reshma Jagsi
{"title":"How can we best respect patient autonomy in breast cancer treatment decisions?","authors":"Kathryn A Martinez, Allison W Kurian, Sarah T Hawley, Reshma Jagsi","doi":"10.2217/bmt.14.47","DOIUrl":null,"url":null,"abstract":"<p><p>Helping patients to maximize their autonomy in breast cancer decision-making is an important aspect of patient-centered care. Shared decision-making is a strategy that aims to maximize patient autonomy by integrating the values and preferences of the patient with the biomedical expertise of the physician. Application of this approach in breast cancer decision-making has not been uniform across cancer-specific interventions (e.g., surgery, chemotherapy), and in some circumstances may present challenges to evidence-based care delivery. Increasingly precise estimates of individual patients' risk of recurrence and commensurate predicted benefit from certain therapies hold significant promise in helping patients exercise autonomous decision-making for their breast cancer care, yet will also likely complicate decision-making for certain subgroups of patients.</p>","PeriodicalId":43086,"journal":{"name":"Breast Cancer Management","volume":"4 1","pages":"53-64"},"PeriodicalIF":0.4000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4342843/pdf/nihms-654019.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/bmt.14.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Helping patients to maximize their autonomy in breast cancer decision-making is an important aspect of patient-centered care. Shared decision-making is a strategy that aims to maximize patient autonomy by integrating the values and preferences of the patient with the biomedical expertise of the physician. Application of this approach in breast cancer decision-making has not been uniform across cancer-specific interventions (e.g., surgery, chemotherapy), and in some circumstances may present challenges to evidence-based care delivery. Increasingly precise estimates of individual patients' risk of recurrence and commensurate predicted benefit from certain therapies hold significant promise in helping patients exercise autonomous decision-making for their breast cancer care, yet will also likely complicate decision-making for certain subgroups of patients.
期刊介绍:
Breast Cancer Management (ISSN: 1758-1923) addresses key issues in disease management by exploring the best patient-centered clinical research and presenting this information both directly, as clinical findings, and in practice-oriented formats of direct relevance in the clinic. The journal also highlights significant advances in basic and translational research, and places them in context for future therapy. Breast Cancer Management provides oncologists and other health professionals with the latest findings and opinions on reducing the burden of this widespread disease. Recent research findings and advances clinical practice in the field are reported and analyzed by international experts. The journal presents this information in clear, accessible formats. All articles are subject to independent review by a minimum of three independent experts. Unsolicited article proposals are welcomed and authors are required to comply fully with the journal’s Disclosure & Conflict of Interest Policy as well as major publishing guidelines, including ICMJE and GPP3. Coverage includes: Diagnosis and imaging, Surgical approaches, Radiotherapy, Systemic therapies, Cancer clinical trials, Genetic aspects of disease, Personalized medicine, Translational research and biomarker studies, Management of psychological distress, Epidemiological studies, Pharmacoeconomics, Evidence-based treatment guidelines.