{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Chae H"],"pubmed_abstract":["<h4>Objective</h4>The lack of a clear and unified definition of shared decision-making (SDM) may hinder its effective application in oncology care. This study aims to clarify the concept of SDM specifically in the context of early-stage breast cancer treatment through an evolutionary concept analysis.<h4>Methods</h4>A systematic search was conducted across PubMed, CINAHL, PsycINFO, Cochrane, and EMBASE databases for articles published from January 2015 to December 2024. Using keywords \"shared decision-making\" and \"breast cancer,\" relevant studies were identified, and key attributes of SDM were extracted and synthesized. Sixteen studies met the inclusion criteria.<h4>Results</h4>SDM for early-stage breast cancer treatment was characterized by 10 attributes spanning three levels: 1) Patient perspective: involvement in decision-making, values and preferences regarding treatment options, and deliberative thinking to achieve choice certainty; 2) Healthcare professional perspective: provision of individualized information, psychological support, consultation focused on patients' best interests, collaborative partnerships with patients, coordinated care delivery, and promotion of person-centered, informed choices; 3) Healthcare system level: fostering a patient-centered healthcare culture.<h4>Conclusions</h4>These findings provide a comprehensive conceptual framework to guide the development of detailed SDM guidelines tailored for early-stage breast cancer patients. Enhanced understanding of SDM can support nurses and healthcare professionals in facilitating collaborative and optimal decision-making processes within oncology care. Furthermore, this study lays the groundwork for developing measurement tools and disease-specific interventions to advance SDM implementation in early-stage breast cancer treatment.<h4>Systematic review registration</h4>PROSPERO (CRD42024587218)."],"journal":["Asia-Pacific journal of oncology nursing"],"pagination":["100775"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12409458"],"repository":["biostudies-literature"],"pubmed_title":["Shared decision-making for early-stage breast cancer treatment: An evolutionary concept analysis."],"pmcid":["PMC12409458"],"pubmed_authors":["Ji HJ","Chae H","Lee Y","Moon H","Son YJ"],"additional_accession":[]},"is_claimable":false,"name":"Shared decision-making for early-stage breast cancer treatment: An evolutionary concept analysis.","description":"<h4>Objective</h4>The lack of a clear and unified definition of shared decision-making (SDM) may hinder its effective application in oncology care. This study aims to clarify the concept of SDM specifically in the context of early-stage breast cancer treatment through an evolutionary concept analysis.<h4>Methods</h4>A systematic search was conducted across PubMed, CINAHL, PsycINFO, Cochrane, and EMBASE databases for articles published from January 2015 to December 2024. Using keywords \"shared decision-making\" and \"breast cancer,\" relevant studies were identified, and key attributes of SDM were extracted and synthesized. Sixteen studies met the inclusion criteria.<h4>Results</h4>SDM for early-stage breast cancer treatment was characterized by 10 attributes spanning three levels: 1) Patient perspective: involvement in decision-making, values and preferences regarding treatment options, and deliberative thinking to achieve choice certainty; 2) Healthcare professional perspective: provision of individualized information, psychological support, consultation focused on patients' best interests, collaborative partnerships with patients, coordinated care delivery, and promotion of person-centered, informed choices; 3) Healthcare system level: fostering a patient-centered healthcare culture.<h4>Conclusions</h4>These findings provide a comprehensive conceptual framework to guide the development of detailed SDM guidelines tailored for early-stage breast cancer patients. Enhanced understanding of SDM can support nurses and healthcare professionals in facilitating collaborative and optimal decision-making processes within oncology care. Furthermore, this study lays the groundwork for developing measurement tools and disease-specific interventions to advance SDM implementation in early-stage breast cancer treatment.<h4>Systematic review registration</h4>PROSPERO (CRD42024587218).","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-03T02:17:56.437Z","creation":"2026-04-23T03:09:44.432Z"},"accession":"S-EPMC12409458","cross_references":{"pubmed":["40919444"],"doi":["10.1016/j.apjon.2025.100775"]}}