Evidence map›Paper›PMID 39709075›Full record

ArticleAmerican journal of infection control2025

Indicator-based tuberculosis infection control assessments with knowledge, attitudes, and practices evaluations among health facilities in China, 2017 to 2019.

Canyou Zhang, Stephanie O'Connor, Hui Chen, Diana Forno Rodriguez, Ling Hao, Yanfu Wang, Yan Li, Jiying Xu, Yuhui Chen, Lan Xia and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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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

13 authors.

Canyou ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Stephanie O'ConnorDivision of Global HIV and Tuberculosis, Global Health Center, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Hui ChenNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Diana Forno RodriguezDivision of Global HIV and Tuberculosis, Global Health Center, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ling HaoDivision of Global Health Protection, Global Health Center, US Centers for Disease Control and Prevention China Office, Beijing, China.
Yanfu WangTuberculosis Control Institute, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, Heilongjiang, China.
Yan LiChronic Infectious Disease Control Institute, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Jiying XuTuberculosis Control Institute, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China.
Yuhui ChenScience and Education Division, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Lan XiaTuberculosis Control Institute, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Xing YangTuberculosis Control Institute, Yunnan Provincial Center for Disease Control and Prevention, Kunming, Yunnan, China.
Yanlin ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Jun ChengNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: chengjun@chinacdc.cn.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundTuberculosis Building and Strengthening Infection Control Strategies (TB BASICS) aimed to achieve improvements in TB infection prevention and control (IPC) through structured training and mentorship.

methodsTB BASICS was implemented in 6 Chinese provinces from 2017 to 2019. Standardized, facility-based risk assessments tailored to inpatient, laboratory, and outpatient departments were conducted quarterly for 18months. Knowledge, attitudes, and practices surveys were administered to health care workers (HCW) at 9 participating facilities during the first and last assessments. Kruskal-Wallis rank sum test assessed score differences between departments (alpha=0.05).

resultsFifty-seven departments received risk assessments. IPC policies and practices improved substantially during follow up. Facility-based assessment scores were significantly lower in outpatient departments than other departments (P<.05). All indicators achieved at least partial implementation by the final assessment. Low scores persisted for implementing isolation protocols, while personal protective equipment use among staff was consistent among all departments. Overall, we observed minimal change in IPC knowledge among HCW. In general, HCW had favorable views of their own IPC capabilities, but reported limited agency to improve institutional IPC.

conclusionsTB BASICS demonstrated improvements in TB IPC implementation. Structured training and mentorship engaged HCW to maintain confidence and competency for TB prevention.

Indexed as

Cross InfectionHealth FacilitiesHealth Knowledge, Attitudes, PracticeHealth PersonnelInfection ControlTuberculosisChinaFemaleHumansMaleSurveys and QuestionnairesChinaHealth care workersInfection preventionKAP

Identifiers

PMID39709075
PMCPMC12550572

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.