Evidence map›Paper›PMID 29592797›Full record

ArticleInfectious diseases of poverty2018

Prevalence of and risk factors for tuberculosis among healthcare workers in Chinese tuberculosis facilities.

Xiao-Ning Wang, Tian-Lun He, Meng-Jie Geng, Yu-Dan Song, Ji-Chun Wang, Min Liu, Sarah Jayne Hoosdally, Ana Luíza Gibertoni Cruz, Fei Zhao, Yu Pang and 2 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Attitudes of Healthcare Workers about Prevention and Control of Nosocomial Multidrug-Resistant Tuberculosis Infection in Two Top-Ranked Tuberculosis Specialized Public Hospitals of Ethiopia.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
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4 · The record

Corrections and comments

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

12 authors.

Xiao-Ning WangDepartment of Science and Technology, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Tian-Lun HeSchool of Economics and Management, Beijing University of Technology, Beijing, China.
Meng-Jie GengDepartment of Infectious Disease Control and Prevention, China CDC, Beijing, China.
Yu-Dan SongDepartment of Science and Technology, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Ji-Chun WangDepartment of Science and Technology, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Min LiuDepartment of Science and Technology, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Sarah Jayne HoosdallyNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
Ana Luíza Gibertoni CruzNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
Fei ZhaoNational Center for Tuberculosis Control and Prevention, China CDC, Beijing, China. zhaofei@chinatb.org.
Yu PangNational Center for Tuberculosis Control and Prevention, China CDC, Beijing, China.
Yan-Lin ZhaoNational Center for Tuberculosis Control and Prevention, China CDC, Beijing, China.
Guang-Xue HeDepartment of Science and Technology, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China. hegx@chinacdc.cn.

Funding

Global Fund Project TB12-001Medical Research Council MC_PC_16027Wellcome Trust 200205/Z/15/Z
6 · The paper itself

Abstract

backgroundChina is one of 22 countries with a high tuberculosis (TB) burden in the world. Healthcare workers (HCWs) have a high risk of contracting Mycobacterium tuberculosis infection due to insufficient infection control practices. We conducted a cross-sectional study to explore the prevalence of TB and its associated risk factors among HCWs in Chinese TB facilities.

methodsTwo hundred and forty-one TB facilities employing a total of 9663 HCWs were selected from 12 provinces in China to represent healthcare settings at the provincial, prefectural, and county levels. Structured questionnaires were used to collect information on TB infection control practices and HCWs in those facilities. Data was double entered into EpiData 3.1; TB prevalence and associated risk factors were analyzed using SPSS 21.0 with bivariate and multivariate regression models.

resultsThe results showed that 71 HCWs had been diagnosed with TB, accounting for a prevalence of 760/100 000. The multivariate analysis showed that associated risk factors included belonging to the age group of 51 years and above (aOR: 6.17, 95% CI: 1.35-28.28), being a nurse (aOR = 3.09, 95% CI: 1.15-8.32), implementation of 0-9 items of management measures (aOR = 2.57, 95% CI: 1.37-4.80), and implementation of 0-1 items of ventilation measures (aOR = 2.42, 95% CI: 1.31-4.47).

conclusionThis was the first national large sampling survey on TB prevalence among HCWs in China. It was found that the implementation of TB infection control practices in some facilities was poor. The TB prevalence in HCWs was higher than that in the general population. Therefore, TB infection control practices in Chinese medical facilities should be strengthened.

Indexed as

Health FacilitiesAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth PersonnelHumansInfection ControlMaleMiddle AgedPrevalenceRisk FactorsTuberculosisYoung AdultChinaHealthcare workersPrevalenceRisk factorsTuberculosis

Identifiers

PMID29592797
PMCPMC5872547

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.