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Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China

BACKGROUND: Healthcare-associated infection (HAI) is a serious threat to the safety of patients worldwide. The prevalence survey is widely used to explore and study the characteristics of HAI. However, the annual continuous prevalence survey of hospital-acquired infections has not been reported so f...

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Autores principales: Sun, Jian, Qin, Wen, Jia, Lei, Sun, Zhen, Xu, Hua, Hui, Yiyi, Gu, Anman, Li, Weiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213461/
https://www.ncbi.nlm.nih.gov/pubmed/34222481
http://dx.doi.org/10.1155/2021/6693889
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author Sun, Jian
Qin, Wen
Jia, Lei
Sun, Zhen
Xu, Hua
Hui, Yiyi
Gu, Anman
Li, Weiguang
author_facet Sun, Jian
Qin, Wen
Jia, Lei
Sun, Zhen
Xu, Hua
Hui, Yiyi
Gu, Anman
Li, Weiguang
author_sort Sun, Jian
collection PubMed
description BACKGROUND: Healthcare-associated infection (HAI) is a serious threat to the safety of patients worldwide. The prevalence survey is widely used to explore and study the characteristics of HAI. However, the annual continuous prevalence survey of hospital-acquired infections has not been reported so far. AIM: This study is aimed at examining the occurrence and development trend of HAIs dynamically and accurately. METHODS: An annual continuous HAI prevalence survey based on the real-time monitoring system was conducted in representative hospitals from different regions in Shandong in China. Findings. A total of 64 hospitals participated in the survey, and 2,741,433 patients were monitored in 2018. The highest prevalence of HAIs in Shandong was 3.83% (February 15), the lowest was 1.85% (February 28), and the average was 2.45%. The percentile distribution of prevalence of HAIs in this study was as follows: P10, 2.23%; P25, 2.31%; P50, 2.41%; P75, 2.55%; and P90, 2.73%. CONCLUSION: This study dynamically and accurately showed the occurrence and development trend of HAIs in Shandong in 2018. The results of this study can be used as a reference for the HAI prevalence survey in various medical institutions in Shandong and provide the basis for the regional HAI prevention and control strategy.
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spelling pubmed-82134612021-07-01 Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China Sun, Jian Qin, Wen Jia, Lei Sun, Zhen Xu, Hua Hui, Yiyi Gu, Anman Li, Weiguang Biomed Res Int Research Article BACKGROUND: Healthcare-associated infection (HAI) is a serious threat to the safety of patients worldwide. The prevalence survey is widely used to explore and study the characteristics of HAI. However, the annual continuous prevalence survey of hospital-acquired infections has not been reported so far. AIM: This study is aimed at examining the occurrence and development trend of HAIs dynamically and accurately. METHODS: An annual continuous HAI prevalence survey based on the real-time monitoring system was conducted in representative hospitals from different regions in Shandong in China. Findings. A total of 64 hospitals participated in the survey, and 2,741,433 patients were monitored in 2018. The highest prevalence of HAIs in Shandong was 3.83% (February 15), the lowest was 1.85% (February 28), and the average was 2.45%. The percentile distribution of prevalence of HAIs in this study was as follows: P10, 2.23%; P25, 2.31%; P50, 2.41%; P75, 2.55%; and P90, 2.73%. CONCLUSION: This study dynamically and accurately showed the occurrence and development trend of HAIs in Shandong in 2018. The results of this study can be used as a reference for the HAI prevalence survey in various medical institutions in Shandong and provide the basis for the regional HAI prevention and control strategy. Hindawi 2021-06-11 /pmc/articles/PMC8213461/ /pubmed/34222481 http://dx.doi.org/10.1155/2021/6693889 Text en Copyright © 2021 Jian Sun et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sun, Jian
Qin, Wen
Jia, Lei
Sun, Zhen
Xu, Hua
Hui, Yiyi
Gu, Anman
Li, Weiguang
Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title_full Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title_fullStr Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title_full_unstemmed Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title_short Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China
title_sort analysis of continuous prevalence survey of healthcare-associated infections based on the real-time monitoring system in 2018 in shandong in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213461/
https://www.ncbi.nlm.nih.gov/pubmed/34222481
http://dx.doi.org/10.1155/2021/6693889
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