Evidence map›Paper›PMID 39484349›Full record

ArticleFrontiers in public health2024

Investigation of hospital-acquired infections prevalence and analysis of influencing factors: a case study of a specialized infectious disease hospital in Chongqing, 2017-2023.

Bing Deng, Peilin Li, Yalan Liu, Juan Xie, Yaling Huang, Qingyun Sun, Shifang Su, Wenwen Deng

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bing DengChongqing Public Health Medical Center, Chongqing, China.
Peilin LiChongqing Public Health Medical Center, Chongqing, China.
Yalan LiuChongqing Public Health Medical Center, Chongqing, China.
Juan XieChongqing Public Health Medical Center, Chongqing, China.
Yaling HuangChongqing Public Health Medical Center, Chongqing, China.
Qingyun SunChongqing Public Health Medical Center, Chongqing, China.
Shifang SuChongqing Public Health Medical Center, Chongqing, China.
Wenwen DengChongqing Public Health Medical Center, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the prevalence of hospital-acquired infections (HAIs) and their main influencing factors in a specialized infectious disease hospital in Chongqing from 2017 to 2023, providing reference for the formulation of precise infection control measures. Methods: A retrospective cross-sectional survey method was employed, combining bedside investigations with medical record reviews. Surveys were conducted on all hospitalized patients on a certain day of the last week of October each year from 2017 to 2023. Data collected included patients' basic information, diagnosis, and hospital infection status. Statistical analysis, including retrospective case-control and multivariable logistic regression analysis, was performed to identify the risk factors for hospital infections. Results: The investigation compliance rate for the prevalence of HAIs in the specialized infectious disease hospital in Chongqing from 2017 to 2023 was greater than 96% each year. The prevalence rate of HAIs ranged from 0.89 to 2.52%. Hospital infection departments were mainly concentrated in general internal medicine, tuberculosis, and HIV/AIDS departments, accounting for 31.25, 26.25, and 23.75%, respectively. The most common infection site was the lower respiratory tract (54.22%), followed by bloodstream and urinary tract infections, each accounting for 9.64%. The predominant pathogens of hospital infections were Conclusion: The prevalence of HAIs in specialized infectious disease hospitals remains stable, primarily concentrated in departments such as general internal medicine, tuberculosis, and HIV/AIDS. The lower respiratory tract is the main infection site, and comorbid cardiovascular diseases and antibiotic use are risk factors for HAIs. Therefore, to reduce the risk of hospital infections, it is necessary to strengthen the daily monitoring of key departments and the care of key patients. Further implementation of precise and effective infection control measures, including rational antibiotic use, regular infection monitoring and pathogen culture is warranted.

Indexed as

Cross InfectionAdultAgedCase-Control StudiesChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk Factorshospital-acquired infectionsinfection control measuresinfluencing factorsprevalence ratespecialized infectious disease hospital

Identifiers

PMID39484349
PMCPMC11524860

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.