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dc.contributor.authorJenkinson, GPen_US
dc.contributor.authorHoughton, Nen_US
dc.contributor.authorvan Zalk, Nen_US
dc.contributor.authorWaller, Jen_US
dc.contributor.authorBello, Fen_US
dc.contributor.authorTzemanaki, Aen_US
dc.date.accessioned2024-01-08T08:40:57Z
dc.date.available2023-02-20en_US
dc.date.issued2023-04-03en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/93480
dc.description.abstractBACKGROUND: In the United Kingdom, women aged 50 to 70 years are invited to undergo mammography. However, 10% of invasive breast cancers occur in women aged ≤45 years, representing an unmet need for young women. Identifying a suitable screening modality for this population is challenging; mammography is insufficiently sensitive, whereas alternative diagnostic methods are invasive or costly. Robotic clinical breast examination (R-CBE)-using soft robotic technology and machine learning for fully automated clinical breast examination-is a theoretically promising screening modality with early prototypes under development. Understanding the perspectives of potential users and partnering with patients in the design process from the outset is essential for ensuring the patient-centered design and implementation of this technology. OBJECTIVE: This study investigated the attitudes and perspectives of women regarding the use of soft robotics and intelligent systems in breast cancer screening. It aimed to determine whether such technology is theoretically acceptable to potential users and identify aspects of the technology and implementation system that are priorities for patients, allowing these to be integrated into technology design. METHODS: This study used a mixed methods design. We conducted a 30-minute web-based survey with 155 women in the United Kingdom. The survey comprised an overview of the proposed concept followed by 5 open-ended questions and 17 closed questions. Respondents were recruited through a web-based survey linked to the Cancer Research United Kingdom patient involvement opportunities web page and distributed through research networks' mailing lists. Qualitative data generated via the open-ended questions were analyzed using thematic analysis. Quantitative data were analyzed using 2-sample Kolmogorov-Smirnov tests, 1-tailed t tests, and Pearson coefficients. RESULTS: Most respondents (143/155, 92.3%) indicated that they would definitely or probably use R-CBE, with 82.6% (128/155) willing to be examined for up to 15 minutes. The most popular location for R-CBE was at a primary care setting, whereas the most accepted method for receiving the results was an on-screen display (with an option to print information) immediately after the examination. Thematic analysis of free-text responses identified the following 7 themes: women perceive that R-CBE has the potential to address limitations in current screening services; R-CBE may facilitate increased user choice and autonomy; ethical motivations for supporting R-CBE development; accuracy (and users' perceptions of accuracy) is essential; results management with clear communication is a priority for users; device usability is important; and integration with health services is key. CONCLUSIONS: There is a high potential for the acceptance of R-CBE in its target user group and a high concordance between user expectations and technological feasibility. Early patient participation in the design process allowed the authors to identify key development priorities for ensuring that this new technology meets the needs of users. Ongoing patient and public involvement at each development stage is essential.en_US
dc.format.extente42704 - ?en_US
dc.languageengen_US
dc.relation.ispartofJ Particip Meden_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectautomated diagnosisen_US
dc.subjectbreast canceren_US
dc.subjectbreast cancer detectionen_US
dc.subjectbreast examinationen_US
dc.subjecthealth care roboticsen_US
dc.subjectmammographyen_US
dc.subjectparticipatory designen_US
dc.subjectpatient and public involvementen_US
dc.subjectuser acceptabilityen_US
dc.titleAcceptability of Automated Robotic Clinical Breast Examination: Survey Study.en_US
dc.typeArticle
dc.identifier.doi10.2196/42704en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/37010907en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume15en_US
dcterms.dateAccepted2023-02-20en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States