Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Participatory Medicine

Date Submitted: Sep 14, 2022
Date Accepted: Feb 20, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

Jenkinson G, Houghton N, van Zalk N, Waller J, Bello F, Tzemanaki A

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

J Particip Med 2023;15:e42704

DOI: 10.2196/42704

PMID: 37010907

PMCID: 10131668

Acceptability of Automated Robotic Clinical Breast Examination: A Survey

  • George Jenkinson; 
  • Natasha Houghton; 
  • Nejra van Zalk; 
  • Jo Waller; 
  • Fernando Bello; 
  • Antonia Tzemanaki

ABSTRACT

Background:

In the United Kingdom, women are invited to attend screening mammography from 50 to 70 years of age. However, 10% of invasive breast cancers occur in women 45 or younger. This represents an unmet need for young women. Identifying a suitable screening modality for this population is challenging; mammography is insufficiently sensitive while 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 patient-centred design and implementation of this technology.

Objective:

This pilot study investigates the attitudes and perspectives of women towards the use of soft robotics and intelligent systems in breast cancer screening. It aims to determine whether such technology is theoretically acceptable to potential users, and to identify aspects of the technology and implementation system that are priorities for patients, allowing these to be integrated into technology design.

Methods:

We conducted a 30-minute online survey of 155 women in the United Kingdom. The survey consisted of 5 open-ended questions and 17 closed questions. A brief overview of the proposed ARTEMIS device was provided to respondents. Respondents were recruited through an online survey linked to the CRUK patient involvement opportunities page, People in Health West of England e-mail lists, and other public research networks.

Results:

Results showed enthusiasm for R-CBE with 92% of respondents indicating they would definitely or probably use R-CBE. 83% would willingly be examined for up to 15 minutes. The most popular location for R-CBE was at a GP surgery, 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 seven themes: a) Women perceive that R-CBE has potential to address limitations in current screening services; b) R-CBE may facilitate increased user choice and autonomy; c) ethical motivations for supporting R-CBE development; d) accuracy (and user’s perceptions of accuracy) is essential; e) results management with clear communication is a priority for users; f) device usability is important, and g) integration with health services is key.

Conclusions:

There is enthusiasm for R-CBE among potential users, 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 this new technology will meet the needs of users. Ongoing patient and public involvement at each stage of development will be essential.


 Citation

Please cite as:

Jenkinson G, Houghton N, van Zalk N, Waller J, Bello F, Tzemanaki A

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

J Particip Med 2023;15:e42704

DOI: 10.2196/42704

PMID: 37010907

PMCID: 10131668

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.