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Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study
BACKGROUND: Clean Cut is an adaptive, multimodal programme to identify improvement opportunities and safety changes in surgery by enhancing outcomes surveillance, closing gaps in surgical infection prevention standards, and strengthening underlying processes of care. Surgical‐site infections (SSIs)...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364890/ https://www.ncbi.nlm.nih.gov/pubmed/34157086 http://dx.doi.org/10.1002/bjs.11997 |
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author | Forrester, J A Starr, N Negussie, T Schaps, D Adem, M Alemu, S Amenu, D Gebeyehu, N Habteyohannes, T Jiru, F Tesfaye, A Wayessa, E Chen, R Trickey, A Bitew, S Bekele, A Weiser, T G |
author_facet | Forrester, J A Starr, N Negussie, T Schaps, D Adem, M Alemu, S Amenu, D Gebeyehu, N Habteyohannes, T Jiru, F Tesfaye, A Wayessa, E Chen, R Trickey, A Bitew, S Bekele, A Weiser, T G |
author_sort | Forrester, J A |
collection | PubMed |
description | BACKGROUND: Clean Cut is an adaptive, multimodal programme to identify improvement opportunities and safety changes in surgery by enhancing outcomes surveillance, closing gaps in surgical infection prevention standards, and strengthening underlying processes of care. Surgical‐site infections (SSIs) are common in low‐income countries, so this study assessed a simple intervention to improve perioperative infection prevention practices in one. METHODS: Clean Cut was implemented in five hospitals in Ethiopia from August 2016 to October 2018. Compliance data were collected from the operating room focused on six key perioperative infection prevention standards. Process‐mapping exercises were employed to understand barriers to compliance and identify locally driven improvement opportunities. Thirty‐day outcomes were recorded on patients for whom intraoperative compliance information had been collected. RESULTS: Compliance data were collected from 2213 operations (374 at baseline and 1839 following process improvements) in 2202 patients. Follow‐up was completed in 2159 patients (98·0 per cent). At baseline, perioperative teams complied with a mean of only 2·9 of the six critical perioperative infection prevention standards; following process improvement changes, compliance rose to a mean of 4·5 (P < 0·001). The relative risk of surgical infections after Clean Cut implementation was 0·65 (95 per cent c.i. 0·43 to 0·99; P = 0·043). Improved compliance with standards reduced the risk of postoperative infection by 46 per cent (relative risk 0·54, 95 per cent c.i. 0·30 to 0·97, for adherence score 3–6 versus 0–2; P = 0·038). CONCLUSION: The Clean Cut programme improved infection prevention standards to reduce SSI without infrastructure expenses or resource investments. |
format | Online Article Text |
id | pubmed-10364890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103648902023-07-31 Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study Forrester, J A Starr, N Negussie, T Schaps, D Adem, M Alemu, S Amenu, D Gebeyehu, N Habteyohannes, T Jiru, F Tesfaye, A Wayessa, E Chen, R Trickey, A Bitew, S Bekele, A Weiser, T G Br J Surg Original Articles BACKGROUND: Clean Cut is an adaptive, multimodal programme to identify improvement opportunities and safety changes in surgery by enhancing outcomes surveillance, closing gaps in surgical infection prevention standards, and strengthening underlying processes of care. Surgical‐site infections (SSIs) are common in low‐income countries, so this study assessed a simple intervention to improve perioperative infection prevention practices in one. METHODS: Clean Cut was implemented in five hospitals in Ethiopia from August 2016 to October 2018. Compliance data were collected from the operating room focused on six key perioperative infection prevention standards. Process‐mapping exercises were employed to understand barriers to compliance and identify locally driven improvement opportunities. Thirty‐day outcomes were recorded on patients for whom intraoperative compliance information had been collected. RESULTS: Compliance data were collected from 2213 operations (374 at baseline and 1839 following process improvements) in 2202 patients. Follow‐up was completed in 2159 patients (98·0 per cent). At baseline, perioperative teams complied with a mean of only 2·9 of the six critical perioperative infection prevention standards; following process improvement changes, compliance rose to a mean of 4·5 (P < 0·001). The relative risk of surgical infections after Clean Cut implementation was 0·65 (95 per cent c.i. 0·43 to 0·99; P = 0·043). Improved compliance with standards reduced the risk of postoperative infection by 46 per cent (relative risk 0·54, 95 per cent c.i. 0·30 to 0·97, for adherence score 3–6 versus 0–2; P = 0·038). CONCLUSION: The Clean Cut programme improved infection prevention standards to reduce SSI without infrastructure expenses or resource investments. Oxford University Press 2020-09-21 /pmc/articles/PMC10364890/ /pubmed/34157086 http://dx.doi.org/10.1002/bjs.11997 Text en © The Authors 2020. Published by Oxford University Press on behalf of BJS Society Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Forrester, J A Starr, N Negussie, T Schaps, D Adem, M Alemu, S Amenu, D Gebeyehu, N Habteyohannes, T Jiru, F Tesfaye, A Wayessa, E Chen, R Trickey, A Bitew, S Bekele, A Weiser, T G Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title | Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title_full | Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title_fullStr | Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title_full_unstemmed | Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title_short | Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
title_sort | clean cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364890/ https://www.ncbi.nlm.nih.gov/pubmed/34157086 http://dx.doi.org/10.1002/bjs.11997 |
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