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...
| Publicado en: | BioMed Research International pp. 1 - 8 |
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| Autores principales: | , , , , , , , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/11/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150853322&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150853322 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/11/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 150853322 150853322 150853322 10.1155/2021/6693889 150853322 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Analysis of Continuous Prevalence Survey of Healthcare-Associated Infections Based on the Real-Time Monitoring System in 2018 in Shandong in China. aug: au: Sun, Jian Qin, Wen Jia, Lei Sun, Zhen Xu, Hua Hui, Yiyi Gu, Anman Li, Weiguang affil: Department of Infection Control, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China sug: subj: Cross Infection Epidemiology Cross Infection Trends Disease Surveillance Monitoring, Physiologic Methods Algorithms Human Cross Sectional Studies Hospitals China Surveys Descriptive Statistics User-Computer Interface Geographic Factors ab: 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. pubtype: Academic Journal doctype: algorithm pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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