JOURNAL ARTICLE
Sexual harassment, sexual assault and rape by colleagues in the surgical workforce, and how women and men are living different realities: observational study using NHS population-derived weights.
Published In: British Journal of Surgery, 2023, v. 110, n. 11. P. 1518 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Begeny, Christopher T.; Arshad, Homa; Cuming, Tamzin; Dhariwal, Daljit K.; Fisher, Rebecca A.; Franklin, Marieta D.; Jackson, Philippa C.; McLachlan, Greta M.; Searle, Rosalind H.; Newlands, Carrie 3 of 3
Abstract
This article presents an observational study examining sexual misconduct—including sexual harassment, sexual assault, and rape—perpetrated by colleagues within the UK surgical workforce over the past five years. Using survey data weighted to reflect the National Health Service (NHS) England surgical workforce, the study found that women were significantly more likely than men to witness and be targets of sexual misconduct, with 63.3% of women reporting being targeted by sexual harassment compared to 23.7% of men, and 29.9% of women experiencing sexual assault versus 6.9% of men. Additionally, women rated key accountable organizations, such as the General Medical Council and Royal Colleges, as inadequately addressing these issues, with positive evaluations ranging from 15.1% to 31.1%, substantially lower than men's assessments. The findings highlight a pervasive problem of sexual misconduct in surgery, gendered differences in experiences, and widespread dissatisfaction with institutional responses, underscoring the need for urgent cultural and organizational change to improve safety and equity in the surgical workplace.
Additional Information
- Source:British Journal of Surgery. 2023/11, Vol. 110, Issue 11, p1518
- Document Type:Article
- Subject Area:Law
- Publication Date:2023
- ISSN:0007-1323
- DOI:10.1093/bjs/znad242
- Accession Number:173801674
- Copyright Statement:Copyright of British Journal of Surgery is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.