Evidence map›Paper›PMID 39789635›Full record

ArticleBMC health services research2025

Assessment of public literacy in TB prevention and control in the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016-2020) in China.

Shuaihu Ni, Gang Chen, Jia Wang, Yuhong Li, Hui Zhang, Yan Qu, Yanlin Zhao, Xiaofeng Luo

Abstract read
In one paragraph

Article in BMC health services research, 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
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1 · What the graph read from it

What it found

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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

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuaihu Ni *School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Gang Chen *School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Jia WangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuhong LiNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hui ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan QuNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. quyan@chinacdc.cn.
Yanlin ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. zhaoyanlin@chinacdc.cn.
Xiaofeng LuoSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China. luoxiaof@lzu.edu.cn.

Funding

Chinese Center for Disease Control and Prevention 2428 Tuberculosis Prevention and control project
6 · The paper itself

Abstract

backgroundChina has always been a country with a high burden of tuberculosis. In order to end TB, the Chinese government launched three plans for TB prevention and control. The Chinese government implemented the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016-2020) to promote TB prevention and control from policy, technology, health promotion and other aspects from 2016 to 2020. The objective of this study was to assess public TB literacy in health promotion in the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016-2020), and provide a basis for the next plan. Compared with previous studies on TB literacy, this study increased the sample size to cover all provinces in China, which is more representative.

methodsA cross-sectional study covering all provinces in China was conducted in 2020. 47,728 questionnaires were collected. Logistic regression was used to analyze the overall awareness of TB health literacy among people with different demographic characteristics. Multicollinearity and outliers were checked using VIF and box plots, respectively.

resultsIn the TB key information, the total awareness rate of TB key information was 82.51%. Participants had poor awareness that TB is a chronic infectious disease, and if the whole course of treatment is standardized, the vast majority of patients can be cured and can avoid infecting others. Participants who received public education on TB had better awareness of TB key information. Participants who were over 60 years old, had a primary school or below degree, students, and did not receive public education on TB were less likely to know all TB key information. In the public education methods, participants were more likely and preferred to receive public education on TB through television or radio (67.93%) and Internet (33.85%) more and preferred television or radio (65.39%) and Internet (54.60%). Compared with participants aged below 60, participants aged 60 and above were more likely to receive public education on TB through relatives or friends (16.80%) (P < 0.001) and preferred to receive public education on TB through television or radio (68.15%), doctor consultation (42.19), relatives or friends (16.15%) (P < 0.001). Participants were more likely to query health-related information through self-media platforms (41.55%) and search engines (31.41%) on the Internet, but the elderly (60 years old and above) and participants with primary school or below degree were more likely to not to query health-related information (56.27%, 59.30%) on the Internet. In the public education materials, participants preferred audiovisual (40.69%), text and images (39.51%) public education materials. Participants preferred video (60.12%), text and image (51.78%) health-related information on the Internet.

conclusionsThe overall public TB literacy was considered high, but the awareness of some TB key information did not reach the target, and it is necessary to strengthen public education on TB for the elderly, people with low education and students. In the future, audiovisual media and the Internet should be the main methods of public education on TB for all people. Relatives or friends dissemination and doctor consultation are also suitable public education methods for older people. More health-related information should be promoted on the Internet, especially on self-media and search engine. TB public education materials and health-related information should use more audio-visual types.

Indexed as

Health LiteracyTuberculosisAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth PromotionHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAwarenessPublic educationPublic literacyTuberculosis

Identifiers

PMID39789635
PMCPMC11721279

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LicenceCC BY-NC-ND
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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.