Evidence map›Paper›PMID 41444267›Full record

ArticleScientific reports2025

Evaluation of tuberculosis education effects on healthcare workers' knowledge attitudes and practices in Jiangsu China 2019 to 2023.

Dian Jia, Honghuan Song, Guoli Li, Jinshui Xu, Limei Zhu, Yan Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dian Jia *Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Honghuan Song *Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Guoli LiJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Jinshui XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China.
Limei ZhuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China. 717267322@qq.com.
Yan LiJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China. liyan.nju@163.com.

Funding

Jiangsu Provincial Medical Key Discipline ZDXK202250
6 · The paper itself

Abstract

Tuberculosis (TB) remains a global health concern, and healthcare workers (HCWs) face a relatively high risk of TB infection because of their frequent exposure. This study evaluated the effectiveness of a TB infection control education program implemented in Jiangsu Province, China, by assessing changes in HCWs' knowledge, attitudes, and practices (KAP). This study, carried out from December 2019 to October 2023, included pre- and post-intervention surveys administered to HCWs in selected drug-resistant hospitals. The Wilcoxon rank-sum test was used to assess the changes in KAP scores before and after the implementation. Additionally, multivariate regression and Spearman correlation tests were conducted to explore potential relationships between KAP scores and factors such as gender, age, duration of employment, department, and program participation. The mean score for knowledge and attitudes increased after the implementation (7.40 vs. 9.96, p = 2.769e-15; 35.29 vs. 36.05, p = 0.008652). In contrast, the practice score slightly decreased (39.22 vs. 37.14, p = 0.003767), which may be due to many "not applicable" answers. Moreover, a positive, weak but significant relationship was observed between attitudes and practices. This study revealed significant improvements in knowledge and attitude and a slight decrease in the practice scores, indicating that education led to enhanced knowledge and attitude, but greater efficacy in translating knowledge into practice is needed. The correlation between attitude and practice indicates further efforts to improve HCWs' attitudes to potentially enhance their practice, thereby diminishing the risk of TB infection.

Indexed as

Health Knowledge, Attitudes, PracticeHealth PersonnelTuberculosisAdultAttitude of Health PersonnelChinaFemaleHumansInfection ControlMaleMiddle AgedSurveys and QuestionnairesHealthcare workersInfection controlKAPTuberculosis

Identifiers

PMID41444267
PMCPMC12738554

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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.