Identification of Common Themes from Never Events Data Published by NHS England
Islam, Omar, Graham, Yitka, Singhal, Rishi, Wilson, Michael, Madhok, Brijesh and Mahawar, Kamal (2020) Identification of Common Themes from Never Events Data Published by NHS England. World Journal of Surgery. ISSN 0364-2313
| Item Type: | Article |
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Abstract
Background: Never Events (NE) are serious clinical incidents that cause potentially avoidable harm and impose a significant financial burden on healthcare systems. The purpose of this study was to identify common Never Events.
Methods: We analysed the NHS England NE data from 2012-2020 to identify common Never Events category and themes.
Results: We identified 51 common NE themes in 4 main categories out of a total of 3247 NE reported during this period. Wrong-site surgery was the most common category (n=1307;40.25%) followed by Retained foreign-objects (n=901;27.75%); Wrong implant or prosthesis (n=425;13.09%); and Non-surgical/infrequent ones (n=614; 18.9%).
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| Depositing User: Yitka Graham |
Identifiers
| Item ID: 12816 |
| Identification Number: https://doi.org/10.1007/s00268-020-05867-7 |
| ISSN: 0364-2313 |
| URI: http://sure.sunderland.ac.uk/id/eprint/12816 | Official URL: https://link.springer.com/article/10.1007/s00268-0... |
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Catalogue record
| Date Deposited: 26 Nov 2020 10:09 |
| Last Modified: 20 Nov 2021 03:38 |
| Author: |
Yitka Graham
|
| Author: | Omar Islam |
| Author: | Rishi Singhal |
| Author: | Michael Wilson |
| Author: | Brijesh Madhok |
| Author: | Kamal Mahawar |
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