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Application of a sub-specialties management model improves quality control in a central sterile supply department

BACKGROUND: The management of medical devices is crucial to safe, high-quality surgical care, but has received little attention in the medical literature. This study explored the effect of a sub-specialties management model in the Central Sterile Supply Department (CSSD). METHODS: A traditional rout...

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Autores principales: Wang, Li, Cai, Xuejiao, Cheng, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975497/
https://www.ncbi.nlm.nih.gov/pubmed/29843705
http://dx.doi.org/10.1186/s12913-018-3214-7
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author Wang, Li
Cai, Xuejiao
Cheng, Ping
author_facet Wang, Li
Cai, Xuejiao
Cheng, Ping
author_sort Wang, Li
collection PubMed
description BACKGROUND: The management of medical devices is crucial to safe, high-quality surgical care, but has received little attention in the medical literature. This study explored the effect of a sub-specialties management model in the Central Sterile Supply Department (CSSD). METHODS: A traditional routine management model (control) was applied from September 2015 through April 2016, and a newly developed sub-specialties management model (observation) was applied from July 2016 through February 2017. Health personnel from various clinical departments were randomly selected to participate as the control (n = 86) and observation (n = 90) groups, respectively. The groups were compared for rates of personnel satisfaction, complaints regarding device errors, and damage of medical devices. RESULTS: The satisfaction score of the observation group (95.8 ± 1.2) was significantly higher than that of the control (90.2 ± 2.3; P = 0.000). The rate of complaints of the observation group (3.3%) was significantly lower than that of the control (11.6%; P = 0.035). The quality control regarding recycle and packing was significantly higher during the observation period than the control period, which favorably influenced the scores for satisfaction. The rate of damage to specialist medical devices during the observation period (0.40%) was lower than during the control period (0.61%; P = 0.003). The theoretical knowledge and practical skills of the CSSD professionals improved after application of the sub-specialties management model. CONCLUSIONS: A management model that considers the requirements of specialist medical devices can improve quality control in the CSSD.
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spelling pubmed-59754972018-05-31 Application of a sub-specialties management model improves quality control in a central sterile supply department Wang, Li Cai, Xuejiao Cheng, Ping BMC Health Serv Res Research Article BACKGROUND: The management of medical devices is crucial to safe, high-quality surgical care, but has received little attention in the medical literature. This study explored the effect of a sub-specialties management model in the Central Sterile Supply Department (CSSD). METHODS: A traditional routine management model (control) was applied from September 2015 through April 2016, and a newly developed sub-specialties management model (observation) was applied from July 2016 through February 2017. Health personnel from various clinical departments were randomly selected to participate as the control (n = 86) and observation (n = 90) groups, respectively. The groups were compared for rates of personnel satisfaction, complaints regarding device errors, and damage of medical devices. RESULTS: The satisfaction score of the observation group (95.8 ± 1.2) was significantly higher than that of the control (90.2 ± 2.3; P = 0.000). The rate of complaints of the observation group (3.3%) was significantly lower than that of the control (11.6%; P = 0.035). The quality control regarding recycle and packing was significantly higher during the observation period than the control period, which favorably influenced the scores for satisfaction. The rate of damage to specialist medical devices during the observation period (0.40%) was lower than during the control period (0.61%; P = 0.003). The theoretical knowledge and practical skills of the CSSD professionals improved after application of the sub-specialties management model. CONCLUSIONS: A management model that considers the requirements of specialist medical devices can improve quality control in the CSSD. BioMed Central 2018-05-30 /pmc/articles/PMC5975497/ /pubmed/29843705 http://dx.doi.org/10.1186/s12913-018-3214-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Li
Cai, Xuejiao
Cheng, Ping
Application of a sub-specialties management model improves quality control in a central sterile supply department
title Application of a sub-specialties management model improves quality control in a central sterile supply department
title_full Application of a sub-specialties management model improves quality control in a central sterile supply department
title_fullStr Application of a sub-specialties management model improves quality control in a central sterile supply department
title_full_unstemmed Application of a sub-specialties management model improves quality control in a central sterile supply department
title_short Application of a sub-specialties management model improves quality control in a central sterile supply department
title_sort application of a sub-specialties management model improves quality control in a central sterile supply department
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975497/
https://www.ncbi.nlm.nih.gov/pubmed/29843705
http://dx.doi.org/10.1186/s12913-018-3214-7
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