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Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

BACKGROUND: 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; mammograph...

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Autores principales: Jenkinson, George P, Houghton, Natasha, van Zalk, Nejra, Waller, Jo, Bello, Fernando, Tzemanaki, Antonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131668/
https://www.ncbi.nlm.nih.gov/pubmed/37010907
http://dx.doi.org/10.2196/42704
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author Jenkinson, George P
Houghton, Natasha
van Zalk, Nejra
Waller, Jo
Bello, Fernando
Tzemanaki, Antonia
author_facet Jenkinson, George P
Houghton, Natasha
van Zalk, Nejra
Waller, Jo
Bello, Fernando
Tzemanaki, Antonia
author_sort Jenkinson, George P
collection PubMed
description BACKGROUND: 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.
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spelling pubmed-101316682023-04-27 Acceptability of Automated Robotic Clinical Breast Examination: Survey Study Jenkinson, George P Houghton, Natasha van Zalk, Nejra Waller, Jo Bello, Fernando Tzemanaki, Antonia J Particip Med Original Paper BACKGROUND: 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. JMIR Publications 2023-04-03 /pmc/articles/PMC10131668/ /pubmed/37010907 http://dx.doi.org/10.2196/42704 Text en ©George P Jenkinson, Natasha Houghton, Nejra van Zalk, Jo Waller, Fernando Bello, Antonia Tzemanaki. Originally published in Journal of Participatory Medicine (https://jopm.jmir.org), 03.04.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Journal of Participatory Medicine, is properly cited. The complete bibliographic information, a link to the original publication on https://jopm.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Jenkinson, George P
Houghton, Natasha
van Zalk, Nejra
Waller, Jo
Bello, Fernando
Tzemanaki, Antonia
Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title_full Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title_fullStr Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title_full_unstemmed Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title_short Acceptability of Automated Robotic Clinical Breast Examination: Survey Study
title_sort acceptability of automated robotic clinical breast examination: survey study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131668/
https://www.ncbi.nlm.nih.gov/pubmed/37010907
http://dx.doi.org/10.2196/42704
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